ABCMdb

ABCC7 p.Arg709*

ClinVar:	c.2125C>T , p.Arg709* D , Pathogenic c.2126G>A , p.Arg709Gln ? , not provided
CF databases:	c.2125C>T , p.Arg709* D , CF-causing c.2126G>A , p.Arg709Gln (CFTR1) ? ,

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[hide] Cystic fibrosis mutation testing in Italy. Genet Test. 2001 Fall;5(3):229-33. Bombieri C, Pignatti PF
Cystic fibrosis mutation testing in Italy.
Genet Test. 2001 Fall;5(3):229-33., [PMID:11788089]

Abstract [show]
In Italy, Cystic fibrosis (CF) mutation frequency differences have been observed in different regions. In the northeastern Veneto and Trentino Alto Adige regions, a complete cystic fibrosis transmembrane conductance regulator (CFTR) gene screening in CF patients detected through a newborn screening program has identified about 90% of the mutations. In these two regions, the current detection rate using a CF screening panel containing the 16 most common mutations is 86.6%. CF mutations in some other Italian regions have not been so thoroughly analysed. Available data indicate that a more general national screening panel comprising 31 mutations may detect about 75% of all CF mutations in Italy.

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35 CF MUTATIONS IDENTIFIED IN TWO ITALIAN REGIONS (VENETO AND TRENTINO ALTO ADIGE) Number of alleles Frequency Cumulative Mutation with mutation (%) frequency (%) DF508 107 47.6 47.56 R1162X 22 9.8 57.33 2183 AA ® G 21 9.3 66.67 N1303K 9 4.0 70.67 G542X 6 2.7 73.33 711 1 5 G ® A 6 2.7 76.00 1717-1 G ® A 5 2.2 78.22 G85E 3 1.3 79.56 R553X 3 1.3 80.89 2789 1 5 G ® A 3 1.3 82.22 Q552X 3 1.3 83.56 621 1 1 G ® T 2 0.9 84.44 W1282X 2 0.9 85.33 R347P 1 0.4 85.77 G551D 1 0.4 86.21 3849 1 10 Kb C ® T 1 0.4 86.67a 3132 del TG 2 0.9 87.54 2790-2 A ® G 2 0.9 88.43 457 TAT ® G 1 0.4 88.87 1717-8 G ® A 1 0.4 89.31 R709X 1 0.4 89.75 1898 1 3 A ® G 1 0.4 90.22 Total 203 90.22 Numbers refer to CFTR gene alleles carrying the specified mutation, over total tested alleles (n 5 225) from the affected subjects CF cohort, as indicated in the text (from Bonizzato et al., 1995). Login to comment

[hide] Cystic fibrosis: a worldwide analysis of CFTR muta... Hum Mutat. 2002 Jun;19(6):575-606. Bobadilla JL, Macek M Jr, Fine JP, Farrell PM
Cystic fibrosis: a worldwide analysis of CFTR mutations--correlation with incidence data and application to screening.
Hum Mutat. 2002 Jun;19(6):575-606., [PMID:12007216]

Abstract [show]
Although there have been numerous reports from around the world of mutations in the gene of chromosome 7 known as CFTR (cystic fibrosis transmembrane conductance regulator), little attention has been given to integrating these mutant alleles into a global understanding of the population molecular genetics associated with cystic fibrosis (CF). We determined the distribution of CFTR mutations in as many regions throughout the world as possible in an effort designed to: 1) increase our understanding of ancestry-genotype relationships, 2) compare mutational arrays with disease incidence, and 3) gain insight for decisions regarding screening program enhancement through CFTR multi-mutational analyses. Information on all mutations that have been published since the identification and cloning of the CFTR gene's most common allele, DeltaF508 (or F508del), was reviewed and integrated into a centralized database. The data were then sorted and regional CFTR arrays were determined using mutations that appeared in a given region with a frequency of 0.5% or greater. Final analyses were based on 72,431 CF chromosomes, using data compiled from over 100 original papers, and over 80 regions from around the world, including all nations where CF has been studied using analytical molecular genetics. Initial results confirmed wide mutational heterogeneity throughout the world; however, characterization of the most common mutations across most populations was possible. We also examined CF incidence, DeltaF508 frequency, and regional mutational heterogeneity in a subset of populations. Data for these analyses were filtered for reliability and methodological strength before being incorporated into the final analysis. Statistical assessment of these variables revealed that there is a significant positive correlation between DeltaF508 frequency and the CF incidence levels of regional populations. Regional analyses were also performed to search for trends in the distribution of CFTR mutations across migrant and related populations; this led to clarification of ancestry-genotype patterns that can be used to design CFTR multi-mutation panels for CF screening programs. From comprehensive assessment of these data, we offer recommendations that multiple CFTR alleles should eventually be included to increase the sensitivity of newborn screening programs employing two-tier testing with trypsinogen and DNA analysis.

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111 Slovakia ∆F508 (57.3%) CFTRdele2,3 (1.2%) 82.7 68.4 14 908/254 CFGAC [1994]; Estivill et al. G542X (6.8%) 3849+10KbC→T (1.0%) [1997]; Dörk et al. [2000]; R553X (4.0%) S42F (0.9%) Macek et al. [2002] N1303K (3.4%) R75X (0.9%) 2143delT (1.8%) G85E (0.9%) R347P (1.4%) 605insT (0.9%) W1282X (1.3%) 1898+1G→A (0.9%) Slovenia ∆F508 (57.8%) R347P (1.1%) 79.7 63.5 16 455/132 CFGAC [1994]; Dörk et al. 2789+5G→A (4.1%) S4X (0.8%) [2000]; Macek et al. [2002] R1162X (3.2%) 457TAT→G (0.8%) G542X (1.9%) D192G (0.8%) Q552X (1.5%) R553X (0.8%) Q685X (1.5%) A559T (0.8%) 3905insT (1.5%) 2907delTT (0.8%) CFTRdele2,3 (1.5%) 3667ins4 (0.8%) Spain ∆F508 (52.7%) G85E (0.8%) 80.2 64.3 21 3608/1356 Chillón et al. [1994]; Casals et G542X (8.0%) R1066C (0.8%) al. [1997]; Estivill et al. [1997] N1303K (2.5%) 2789+5G→A (0.7%) 3601-111G→C (2.0%) 2869insG (0.7%) 1811+1.6Kb A→G (1.7%) ∆I507 (0.6%) R1162X (1.6%) W1282X (0.6%) 711+1G→T (1.3%) L206W (0.5%) R334W (1.2%) R709X (0.5%) Q890X (1.0%) K710X (0.5%) 1609delCA (1.0%) 3272-26A→G (0.5%) 712-1G→T (1.0%) Sweden ∆F508 (66.6%) E60X (0.6%) 85.9 73.8 10 1357/662 Schwartz et al. [1994]; Estivill et 394delTT (7.3%) Y109C (0.6%) al. [1997]; Schaedel et al. 3659delC (5.4%) R117H (0.6%) [1999] 175insT (2.4%) R117C (0.6%) T338I (1.2%) G542X (0.6%) Switzerland ∆F508 (57.2%) K1200E (2.1%) 91.3 83.4 9 1268/1173 Estivill et al. [1997]; R553X (14.0%) N1303K (1.2%) Hergersberg et al. [1997] 3905insT (9.8%) W1282X (1.1%) 1717-1G→A (2.7%) R347P (0.6%) G542X (2.6%) Ukraine ∆F508 (65.2%) CFTRdele2,3 (1.1%) 74.6 55.7 6 1055/580 Estivill et al. [1997]; Dörk et al. R553X (3.6%) G551D (1.8%) [2000]; Macek et al. [2002] N1303K (2.4%) W1282X (0.5%) United ∆F508 (75.3%) 621+1G→T (0.93%) 81.6 66.6 5 19622/9815 Schwartz et al. [1995b]; Kingdom G551D (3.1%) 1717-1G→A (0.57%) Estivill et al. [1997] (total) G542X (1.7%) TABLE 1. Continued. Estimated Projected detection of Number of Number of Country/ allele two CFTR mutations chromosomes Region Mutation array detectiona mutationsb includedc (max/min)d Reference WORLDWIDEANALYSISOFCFTRMUTATIONS585 United ∆F508 (56.6%) 621+1G→T (1.8%) 69.1 47.7 7 456 CFGAC [1994] Kingdom G551D (3.7%) R117H (1.5%) (N. Ireland) R560T (2.6%) ∆I507 (0.9%) G542X (2.0%) United ∆F508 (19.2%) 621+2T→C (3.8%) 84.4 71.2 11 52 Malone et al. [1998] Kingdom Y569D (15.4%) 2184insA (3.8%) (Pakistani) Q98X (11.5%) R560S (1.9%) 1525-1G→A (9.6%) 1898+1G→T (1.9%) 296+12T→C (7.7%) R709X (1.9%) 1161delC (7.7%) United ∆F508 (71.3%) 1717-1G→A (1.0%) 86.4 74.6 9 1236/730 Shrimpton et al. [1991]; Kingdom G551D (5.5%) 621+1G→T (0.6%) Gilfillan et al. [1998] (Scotland) G542X (4.0%) ∆I507 (0.6%) R117H (1.4%) R560T (0.6%) P67L (1.4%) United ∆F508 (71.6%) 1717-1G→A (1.1%) 98.7 97.4 17 183 Cheadle et al. [1993] Kingdom 621+1G→T (6.6%) 3659delC (0.5%) (Wales) 1898+1G→A (5.5%) R117H (0.5%) G542X (2.2%) N1303K (0.5%) G551D (2.2%) E60X (0.5%) 1078delT (2.2%) S549N (0.5%) R1283M (1.6%) 3849+10KbC→T (0.5%) R553X (1.1%) 4016insT (0.5%) ∆I507 (1.1%) Yugoslavia ∆F508 (68.9%) 3849G→A (1.0%) 82.2 67.6 11 709/398 Dabovic et al. [1992]; Estivill et G542X (4.0%) N1303K (0.8%) al. [1997]; Macek et al. R1162C (3.0%) 525delT (0.5%) (submitted for publication) 457TAT→G (1.0%) 621+1G→T (0.5%) I148T (1.0%) G551D (0.5%) Q552X (1.0%) Middle East/Africa Algeria 1) DF508 (20.0%) 4) 1812-1G®A (5.0%) - - 5 20 Loumi et al. [1999] 2) N1303K (20.0%) 5) V754M (5.0%) 3) 711+1G®T (10.0%) Jewish W1282X (48.0%) 3849+10KbC→T (6.0%) 95.0 90.3 6 261 Kerem et al. [1995] (Ashkenazi) ∆F508 (28.0%) N1303K (3.0%) G542X (9.0%) 1717-1G→A (1.0%) Jewish 1) N1303K - - 1 6 Kerem et al. [1995] (Egypt) Jewish 1) Q359K/T360K - - 1 8 Kerem et al. [1995] (Georgia) Jewish 1) DF508 2) 405+1G®A - - 2 11 Kerem et al. [1995] (Libya) Jewish 1) DF508 (72.0%) 3) D1152H (6.0%) - - 3 33 Kerem et al. [1995] (Morocco) 2) S549R (6.0%) Jewish ∆F508 (35.0%) W1282X (2.0%) 43.0 18.5 4 51 Shoshani et al. [1992] (Sepharadim) G542X (4.0%) S549I (2.0%) (Continued) BOBADILLAETAL. Login to comment

[hide] Demographics of the UK cystic fibrosis population:... Eur J Hum Genet. 2002 Oct;10(10):583-90. McCormick J, Green MW, Mehta G, Culross F, Mehta A
Demographics of the UK cystic fibrosis population: implications for neonatal screening.
Eur J Hum Genet. 2002 Oct;10(10):583-90., [PMID:12357328]

Abstract [show]
The objective was to determine the composition of the Cystic Fibrosis (CF) Population attending specialist UK CF centres in terms of age, gender, age at diagnosis, genotype and ethnicity. With the planned introduction of the national CF screening programme in the UK, cystic fibrosis transmembrane regulator (CFTR) mutations were compared between different ethnic groups enabling a UK-specific frequency of mutations to be defined. Data were analysed from the patient biographies held in the UK CF Database (see www.cystic-fibrosis.org.uk). The currently registered population of 5,274 CF patients is 96.3% Caucasian with a male preponderance that significantly increases with age. The majority of the 196 non-Caucasian CF patients are from the Indian Subcontinent (ISC), of which one in 84 UK CF patients are of Pakistani origin. The commonest CFTR mutation, deltaF508, is found in 74.1% of all CF chromosomes. In the Caucasian CF population, 57.5% are deltaF508 homozygotes but the UK ISC CF population with only 24.7%, has significantly fewer deltaF508 homozygotes patients (95% confidence interval (CI) 0.2-0.4). The distribution of Caucasian patients with deltaF508/deltaF508, deltaF508/Other and Other/Other does not fit the expected distribution with a Hardy-Weinberg model unless those patients without a detected mutation are excluded (P<0.001). The UK CF Database has shown the UK CF population to have distinct characteristics separate from the North American and European CF Registries. The ISC group contains many mutations not recognised by current genetic analysis, and one in four ISC patients have no CFTR mutations identified. The CFTR analysis proposed for the screening programme would detect 96% of patients registered in the database, but is unlikely to achieve the desired >80% detection rates in the ethnic minority groups. Screen-positive, non-Caucasian infants without an identifiable CFTR mutation should be referred for a sweat test and genetic counselling when serum trypsinogen concentrations remain elevated after birth.

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79 It is envisaged that the proposed screening programme will be based on a three-stage protocol.6 In Table 3 Genotypes of the UK CF Caucasian and ISC populations Percentage of Percentage of genotyped UK CF genotyped UK CF Caucasian population ISC population Genotype n=4753 (%) n=78 (%) DF508/DF508 57.5 24.7 DF508/Unknown 11.5 3.5 DF508/G551D 5.1 0.0 DF508/G542X 2.8 0.0 Unknown/Unknown 2.7 27.1 DF508/621+1G?T 2.0 1.2 DF508/R117H 2.0 0.0 DF508/1898+1G?A 1.0 0.0 DF508/1717-G?A 0.9 0.0 DF508/N1303K 0.8 0.0 DF508 DI507 0.8 0.0 DF508/R553X 0.6 0.0 DF508/R560T 0.6 0.0 DF508/Q493X 0.5 0.0 G551D/Unknown 0.4 0.0 Other/Other 2.8 15.3* DF508/Other 6.7 0.0 Y569D/Y569D 0.0 8.2 L218X/L218X 0.0 3.5 1161delC/1161delC 0.0 3.5 R709X/V456A 0.0 2.4 G542X/G542X 0.4 2.4 Other/Unknown 1.0 3.5 The shaded areas represent the commonest genotypes in the ISC population. Login to comment
84 The following seven mutations appear in Table 4 but not in the 31 mutation panel; 1154insTC, E60X, P67L, Y569D, L218X, 1161delC and R709X. Login to comment
85 Table 4 The commonest CFTR mutations in the UK Genotypes UK CF population Genotyped UK Caucasian CF Genotyped UK CF ISC (n=9866 chromosomes) population (n=9506 chromosomes) population (n=156 chromosomes) CFTR mutation gene frequency per 1000 genes gene frequency per 1000 genes gene frequency per 1000 genes DF508 741.0 752.0 294.9 G551D 33.7 34.3 12.8 G542X 18.5 18.4 25.6 R117H 12.5 12.7 0.0 621+1G?T 12.7 12.7 6.4 1717-1G?A 5.8 5.8 0.0 1898+1G?A 5.7 5.9 0.0 N1303K 5.6 5.4 0.0 DI507 4.8 5.0 0.0 R560T 4.2 4.3 0.0 R553X 3.3 3.4 0.0 1154insTC 3.2 3.3 0.0 Q493X 2.8 2.9 0.0 3659delC 2.8 2.9 0.0 E60X 2.4 2.4 0.0 W1282X 2.7 2.7 0.0 P67L 2.1 2.1 0.0 G85E 2.1 2.0 0.0 V520F 1.6 1.7 0.0 1078delT 1.3 1.4 0.0 Y569D 1.5 0.0 96.2 L218X 0.6 0.0 38.5 1161delC 0.7 0.1 38.5 R1162X 0.9 0.6 19.2 R709X 0.4 0.2 12.8 3849+10kbC?T 1.2 0.8 19.2 S549R* 0.6 0.0 0.0 *S549R mutations appear in the non-Caucasian but not the ISC subgroup. Login to comment

[hide] Improved detection of cystic fibrosis mutations in... Hum Reprod. 2004 Mar;19(3):540-6. Epub 2004 Jan 29. Danziger KL, Black LD, Keiles SB, Kammesheidt A, Turek PJ
Improved detection of cystic fibrosis mutations in infertility patients with DNA sequence analysis.
Hum Reprod. 2004 Mar;19(3):540-6. Epub 2004 Jan 29., [PMID:14998948]

Abstract [show]
BACKGROUND: Accurate determination of mutations in the cystic fibrosis transmembrane conductance regulator (CFTR) gene is critical for genetic counselling and treatment of obstructive azoospermia. Of concern is that detection rates with routine CFTR mutation panels vary widely depending on patient ancestry; and such panels have limited value for azoospermic patients, who are more likely to carry rare mutations. An alternative approach offers comprehensive, CFTR mutation analysis by a DNA sequence method. We investigated whether this method could improve CFTR detection rates in men with obstructive azoospermia in a prospective study of men with obstructive azoospermia and their partners who were referred for genetic counselling and testing at one of two institutions. METHODS: Sixteen patients with congenital absence of the vas deferens (CAVD, n = 14) or idiopathic obstructive azoospermia (n = 2) were studied. DNA from all patients was analysed for mutations by the DNA sequence method. In addition to this method, six men underwent CFTR analysis by a common 25 or 31 mutation panel coupled with poly T analysis. In 10 subjects, common mutation panel findings were inferred from DNA sequence method results. RESULTS: Overall, 12/16 (75%) azoospermic patients had one or more CFTR mutations and/or 5T alleles, including 12 mutations in 10 patients (two compound heterozygotes) and seven 5T alleles in six patients (one homozygote). The sequence method detected all mutations and three variants of unknown significance. By comparison, the common mutation panels detected only 3/12 mutations (25%) and 0/3 variants. CONCLUSION: The DNA sequence method detects more CFTR mutations than common mutation panels. Given the serious, clinical consequences of transmitting such mutations, this study underscores the importance of accurate, CFTR mutation detection in men with obstructive azoospermia and their partners.

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164 Mutation V456A (subject 7) has since been detected in three other symptomatic individuals, including: a Caucasian fetus with echogenic bowel, who has one other deleterious mutation, DF508; a Pakistani adult female with pulmonary symptoms and referred for CF testing who also harbors a DF508 mutation; and an Asian female infant with positive newborn screening and sweat tests, who has one other mutation, R709X. Login to comment

[hide] Multimutational analysis of eleven cystic fibrosis... Clin Chem. 2004 Nov;50(11):2155-7. Farez-Vidal ME, Gomez-Llorente C, Blanco S, Morales P, Casals T, Gomez-Capilla JA
Multimutational analysis of eleven cystic fibrosis mutations common in the Mediterranean areas.
Clin Chem. 2004 Nov;50(11):2155-7., [PMID:15502086]

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51 Two multiplex reactions were designed for the analysis of 11 mutations: multiplex 1 (M1) analyzed K710X, R1066C/R1066S, 2869 insG, and Q890X polymorphisms; and multiplex 2 (M2) analyzed L206W, 1609delCA, R1066L/R1066H, R709X, and 1811 ϩ 1.6Kb polymorphisms. Login to comment
73 Fig. 1B shows M2 multiplex analysis of a sample heterozygous for the 1609delCA mutation; the colored peaks correspond to the following wild-type alleles: L206W (red), 1609delCA (black), R1066L/H (blue), R709X (black), and 1811 ϩ 1.6Kb (green). Login to comment
75 [Results for individuals carrying the K710X (M1), R1066C/S (M1), 2869 insG (M1), L206W (M2), R1066 L/H (M2), R709X (M2), and 1811 ϩ 1.6 Kb (M2) mutations, respectively, are shown in Figs. Login to comment
87 Peaks in M2 multiplex correspond to the following mutations: L206W, 1609delCA, R1066L/H, R709X, and 1811 ϩ 1.6Kb. Login to comment
88 Peaks sizes for wild-type positions studied (nt) were as follows: for L206W, 28.78-29.10; for 1609delCA, 32.71-32.89; for R1066L/H, 35.77-36.16; for R709X, 41.89-42.16; and for 1811 ϩ 1.6Kb, 49.71-49.91. Login to comment

[hide] Cystic fibrosis carriers have higher neonatal immu... Am J Med Genet A. 2005 Jun 1;135(2):142-4. Castellani C, Picci L, Scarpa M, Dechecchi MC, Zanolla L, Assael BM, Zacchello F
Cystic fibrosis carriers have higher neonatal immunoreactive trypsinogen values than non-carriers.
Am J Med Genet A. 2005 Jun 1;135(2):142-4., 2005-06-01 [PMID:15832355]

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Following cystic fibrosis (CF) neonatal screening implementation, a high frequency of heterozygotes has been reported among neonates with elevated immunoreactive trypsinogen (IRT) and normal sweat chloride levels. We studied the relationship between normal IRT values and CF heterozygosity: 10,000 neonates were screened for CF by IRT measurement and tested for 40 CF mutations; the 294 carriers detected were coupled with newborns negative to the same genetic testing, and the two groups' IRT levels compared. Heterozygotes had higher IRT levels than their controls (mean 35.32 vs. 27.58 microg/L, P<0.001). Even within normal trypsinogen range, the probability of being a CF carrier increases with neonatal IRT concentration.

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40 Distribution and Classification of the Tested Mutations in the Normal IRT Heterozygote Population Under Study Mutations Type of mutation Class of mutation Number of cases F508del Severe II 161 N1303K Severe II 19 G542X Severe I 19 711 þ 5G > A - V 15 R117H Mild IV 13 R1162X Severe I 13 R553X Severe I 11 G85E - IV 8 2183AA > G Severe I 8 1717-1G > A Severe I 8 R334Q Mild - 4 Q552X Severe I 4 W1282X Severe I 3 2789 þ 5G > A Mild V 2 1898 þ 3A > G Mild V 2 T338I Mild IV 1 R709X Severe I 1 R347H Mild IV 1 3849 þ 10KbC > T Mild V 1 Total 294 Other tested mutations: 1078delTn1609delCAn1717-8g/an394delTTn457TAT> Gn541delCn621 þ 1g/tn711 þ 1g/tnA559TnDI507nG551DnR1158XnR334Wn R347PnR352QnS549InS549NnS549Ra/cn2790-2G > An1811 þ 1.2KbA > G; 711þ5G > A and G85E not categorized in type of mutation; R334Q not categorized in class of mutation. Login to comment

[hide] Gender-sensitive association of CFTR gene mutation... Mol Hum Reprod. 2005 Aug;11(8):607-14. Epub 2005 Aug 26. Morea A, Cameran M, Rebuffi AG, Marzenta D, Marangon O, Picci L, Zacchello F, Scarpa M
Gender-sensitive association of CFTR gene mutations and 5T allele emerging from a large survey on infertility.
Mol Hum Reprod. 2005 Aug;11(8):607-14. Epub 2005 Aug 26., [PMID:16126774]

Abstract [show]
Human infertility in relation to mutations affecting the cystic fibrosis transmembrane regulator (CFTR) gene has been investigated by different authors. The role of additional variants, such as the possible forms of the thymidine allele (5T, 7T and 9T) of the acceptor splice site of intron 8, has in some instances been considered. However, a large-scale analysis of the CFTR gene and number of thymidine residues, alone and in combination, in the two sexes had not yet been addressed. This was the aim of this study. Two groups were compared, a control group of 20,532 subjects being screened for perspective reproduction, and the patient group represented by 1854 idiopathically infertile cases. Analyses involved PCR-based CFTR mutations assessment, reverse dot-blot IVS8-T polymorphism analyses, denaturing gradient gel electrophoresis (DGGE) and DNA sequencing. The expected 5T increase in infertile men was predominantly owing to the 5/9 genotypic class. The intrinsic rate of 5T fluctuated only slightly among groups, but some gender-related differences arose when comparing their association. Infertile men showed a significantly enriched 5T + CFTR mutation co-presence, distributed in the 5/9 and 5/7 classes. In contrast, females, from both the control and the infertile groups, showed a trend towards a pronounced reduction of such association. The statistical significance of the difference between expected and observed double occurrence of 5T + CFTR traits in women suggests, in line with other reports in the literature, a possible survival-hampering effect. Moreover, regardless of the 5T status, CFTR mutations appear not to be involved in female infertility. These results underline the importance of (i) assessing large sample populations and (ii) considering separately the two genders, whose genotypically opposite correlations with these phenomena may otherwise tend to mask each other.

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47 CFTR gene alterations were first scored by PCR and reverse dot blot (Chehab and Wall, 1992), targeted to the detection of the following mutations: ∆F508, G85E, 541∆C, D110H, R117H, 621+1G→T, 711+5G→A, R334W, R334Q, T338I, 1078∆T, R347H, R352Q, ∆I507, 1609∆CA, E527G, 1717-1G→A, 1717-8G→A, G542X, R347P, S549N, S549R A→C, Q552X, R553X, A559T, D579G, Y577F, E585X, 1898+3A→G, 2183AA→G, R709X, 2789+5G→A, 3132∆TG, 3272-26A→G, L1077P, L1065P, R1070Q, R1066H, M1101K, D1152H, R1158X, R1162X, 3849+10KbC→T, G1244E, W1282R, W1282X, N1303K and 4016∇T. Login to comment

[hide] CFTR mutations in Turkish and North African cystic... Genet Test. 2008 Mar;12(1):25-35. Lakeman P, Gille JJ, Dankert-Roelse JE, Heijerman HG, Munck A, Iron A, Grasemann H, Schuster A, Cornel MC, Ten Kate LP
CFTR mutations in Turkish and North African cystic fibrosis patients in Europe: implications for screening.
Genet Test. 2008 Mar;12(1):25-35., [PMID:18373402]

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AIMS: To obtain more insight into the variability of the CFTR mutations found in immigrant cystic fibrosis (CF) patients who are living in Europe now, and to estimate the test sensitivity of different frequently used methods of DNA analysis to detect CF carriers or patients among these Turkish or North African immigrants. METHODS: A survey among 373 European CF centers asking which CFTR mutations had been found in Turkish and North African CF patients. RESULTS: 31 and 26 different mutations were reported in Turkish and North African patients, identifying 64.2% (113/176) and 87.4% (118/135) alleles, respectively (p < 0.001). The mean sensitivity (detection rate) of three most common CFTR mutation panels to detect these mutations differed between Turkish and North African people, 44.9% (79/176) versus 69.6% (94/135) (p < 0.001), and can be increased to 57.4% (101/176) and 79.3% (107/135) (p < 0.001), respectively, by expanding these panels with 13 mutations which have been found on two or more alleles. CONCLUSION: 35.8% and 12.6%, respectively, of CF alleles in Turkish and North African patients living in Europe now had not been identified. Among these populations, the test sensitivity of common CFTR mutation panels is insufficient for use in screening programs in Europe, even after expansion with frequent Turkish and North African mutations. This raises questions about whether and how to implement CF carrier and neonatal screening in a multiethnic society.

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113 Identity and Frequency of CFTR Mutations on Unrelated Turkish (Tr) and North African (NA) CF alleles Total number of allelesa Number of CF patients with this mutationb Mutation Exon All Tr NA Homozygote Compound heterozygote: two mutations found Compound heterozygote: one mutation found F508delc 10 73 33 40 27 11 6 N1303K 21 22 12 10 10 5 2 711 þ 1G > T Intron 5 14 - 14 7 2 0 G542X 11 14 6 8 7 1 0 R1162X 19 11 - 11 1 5 2 2183AA > G 13 9 9 - 3 3 1 W1282X 20 7 3 4 2 3 1 2789 þ 5G > A Intron 14b 6 3 3 1 4 1 L227R 6a 4 - 4 3 1 0 1677delTA 10 4 4 - 2 1 1 2184insA 13 4 4 - 1 2 0 R334W 7 4 4 - 1 1 1 G85E 3 4 3 1 1 2 0 R709X 13 3 - 3 2 0 0 L732X 13 3 3 - 2 0 0 2184delA 13 3 3 - 0 3 0 del exon 1-4d 1-4 3 3 - 1 1 0 del exon 19 19 2 2 - 2 0 0 3849 þ 10kbC > T Intron 19 2 - 2 1 0 0 S549N 11 2 1 1 0 1 1 3120 þ G > A Intron 16 2 2 - 1 0 0 3601-2A > G Intron 18 2 2 - 1 0 0 D1152H 18 2 2 - 1 0 0 E1104X 17b 2 - 2 1 0 0 S1159F 19 2 2 - 1 0 0 S977F 16 2 - 2 0 1 0 2347delG 13 2 - 2 1 0 0 4096-3C > G Intron 21 1 1 - 1 0 0 E831X 14a 1 1 - 1 0 0 L619S 13 1 1 - 1 0 0 1525-1G > Ac Intron 9 1 1 - 1 0 0 F1052V 17b 1 1 - 1 0 0 3130delA 17a 1 1 - 1 0 0 R352Q 7 1 - 1 0 1 0 1812-1G > A Intron 11 1 - 1 0 1 0 R553X 11 1 - 1 0 0 1 IVS8-5T Intron 8 1 1 - 0 1 0 R1066C 17b 1 - 1 0 1 0 3129del4 17a 1 - 1 0 1 0 D110H 4 1 1 - 0 1 0 R117H 4 1 - 1 0 1 0 S945L 15 1 - 1 0 1 0 1716G=A 10 1 - 1 0 0 1 711 þ 3A > G Intron 5 1 1 - 0 1 0 R75X 3 1 1 - 0 1 0 R764X 13 1 - 1 0 1 0 S1196X 19 1 1 - 0 1 0 S492F 10 1 - 1 0 1 0 G551D 11 1 - 1 1 0 0 del exon 2 2 1 1 - 1 0 0 Subtotal 231 113 118 - No mutation 80 63 17 - Total 311 176 135 88 60 18 a n ¼ 311 alleles, based on 166 CF patients (332 alleles) with both parents and 22 CF patients (22 alleles) with one parent from Turkey or North Africa, minus 43 alleles of homozygous CF patients with consanguineous parents of whom only one allele was taken into account. Login to comment

[hide] A 10-year large-scale cystic fibrosis carrier scre... J Cyst Fibros. 2010 Jan;9(1):29-35. Epub 2009 Nov 7. Picci L, Cameran M, Marangon O, Marzenta D, Ferrari S, Frigo AC, Scarpa M
A 10-year large-scale cystic fibrosis carrier screening in the Italian population.
J Cyst Fibros. 2010 Jan;9(1):29-35. Epub 2009 Nov 7., [PMID:19897426]

Abstract [show]
BACKGROUND: Cystic Fibrosis (CF) is one of the most common autosomal recessive genetic disorders, with the majority of patients born to couples unaware of their carrier status. Carrier screenings might help reducing the incidence of CF. METHODS: We used a semi-automated reverse-dot blot assay identifying the 47 most common CFTR gene mutations followed by DGGE/dHPLC analysis. RESULTS: Results of a 10-year (1996-2006) CF carrier screening on 57,999 individuals with no prior family history of CF are reported. Of these, 25,104 were couples and 7791 singles, with 77.9% from the Italian Veneto region. CFTR mutations were found in 1879 carriers (frequency 1/31), with DeltaF508 being the most common (42.6%). Subjects undergoing medically assisted reproduction (MAR) had significantly (p<0.0001) higher CF carrier frequency (1/22 vs 1/32) compared to non-MAR subjects. CONCLUSIONS: If coupled to counselling programmes, CF carrier screening tests might help reducing the CF incidence.

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48 Forty-seven different CFTR mutations/gene alterations were chosen and analysed: ΔF508, G85E, 541delC, D110H, R117H, 621+1G→T, 711+5G→A, R334W, R334Q, T338I, R347H, R347P, R352Q, S466X, ΔI507, E527G, 1717-1G→A, 1717-8G→A, G542X, S549N, S549R A→C, G551D, Q552X, R553X, D579G, 1874insT, E585X, 1898+3A→G, 2183AA→G, 2184delA, R709X, 2789+5G→A, 3132delTG, 3199del6, 3272-26A→G, L1077P, L1065P, R1066H, M1101K, D1152H, R1158X, R1162X, 3849+10KbC→T, G1244E, W1282X, N1303K and 4016insT. Login to comment

[hide] Initial evaluation of a biochemical cystic fibrosi... J Inherit Metab Dis. 2010 Oct;33(Suppl 2):S263-71. Epub 2010 Aug 17. Sommerburg O, Lindner M, Muckenthaler M, Kohlmueller D, Leible S, Feneberg R, Kulozik AE, Mall MA, Hoffmann GF
Initial evaluation of a biochemical cystic fibrosis newborn screening by sequential analysis of immunoreactive trypsinogen and pancreatitis-associated protein (IRT/PAP) as a strategy that does not involve DNA testing in a Northern European population.
J Inherit Metab Dis. 2010 Oct;33(Suppl 2):S263-71. Epub 2010 Aug 17., [PMID:20714932]

Abstract [show]
BACKGROUND: Ethical concerns and disadvantages of newborn screening (NBS) for cystic fibrosis (CF) related to genetic testing have raised controversies and impeded implementation of CF NBS in some countries. In the present study, we used a prospective and sequential immunoreactive trypsinogene (IRT)/pancreatitis-associated protein (PAP) strategy, with IRT as first and PAP as second tier, and validated this biochemical approach against the widely used IRT/DNA protocol in a population-based NBS study in southwest Germany. METHODS: Prospective quantitation of PAP and genetic analysis for the presence of four mutations in the cystic fibrosis transmembrane conductance regulator (CFTR) gene most prevalent in southwest Germany (F508del, R553X, G551D, G542X) were performed in all newborns with IRT > 99.0th percentile. NBS was rated positive when either PAP was >/=1.0 ng/mL and/or at least one CFTR mutation was detected. In addition, IRT > 99.9th percentile was also considered a positive rating. Positive rating led to referral to a CF centre for testing of sweat Cl(-) concentration. FINDINGS: Out of 73,759 newborns tested, 98 (0.13%) were positive with IRT/PAP and 56 (0.08%) with IRT/DNA. After sweat testing of 135 CF NBS-positive infants, 13 were diagnosed with CF. Detection rates were similar for both IRT/PAP and IRT/DNA. One of the 13 diagnosed CF newborns had a PAP concentration <1.0 ng/mL. CONCLUSIONS: Sequential measurement of IRT/PAP provides good sensitivity and specificity and allows reliable and cost-effective CF NBS which circumvents the necessity of genetic testing with its inherent ethical problems.

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110 In the second column, the results for both screening strategies are given CF patient True result for PAP/DNA Meconium ileus IRT (ng/ml) PAP (ng/ml) initial DNA result Age at referral (weeks) Mean of sweat Cl- measures (mmol/l) Age at diagnosis (weeks) Subsequent investigation Further DNA analysis 1 FN/FN No 36.0 n.d. n.d. 10 84 12 No special F508del/S1251N 2 TP/TP No 95.5 2.56 F508del/G542X 5 84 6 No special n.d. 3 TP/TP No 132.5 5.81 F508del/ - 4 95 5 No special n.d.a 4 TP/FN No 152.5 2.70 - / - 8b 44 10 ICMc CFTRdele2,3/ - c 5 TP/TP No 204.0 1.00 F508del/G551D 6 95 6 No special n.d. 6 TP/TP Yes 245.0 1.00 F508del/F508del - n.d.d 1 No special n.d. 7 TP/TP No 220.5 1.70 F508del/F508del 8b 82 10 No special n.d. 8 FN/FN No 139.0 0.95 - / - 15b 93 16 No special N1303K/R709X 9 TP/TP Yes 197.5 1.20 F508del/F508del - n.d.d 1 No special n.d. 10 TP/TP Yes 143.5 1.10 F508del/F508del - 92 1 No special n.d. 11 TP/TP No 114.0 1.45 F508del/ - 7b 116 7 No special F508del/p.Q552X 12 TP/TP No 174.5 2.60 F508del/F508del 4 88 5 No special n.d. 13 TP/TP Yes 81 1.30 F508del/F508del 1 n.d.d 1 No special n.d. 14 TP/FN No 198.5 9.45 - / - 8b 103 8 No special CFTRdele2,3/ E664X PAP IRT/PAP strategy, DNA IRT/DNA strategy, TP true positive, FN false negative a Further DNA analysis was not performed in the local CF centre after the health insurance of the patient refused to pay for further DNA analysis. Login to comment
148 One of these CF infants was also missed by the IRT/PAP strategy but was identified by the failsafe protocol that depended on IRT concentrations >99.9th percentile, and mutation analysis revealed compound heterozygosity for N1303K and R709X indicating that the patient will develop classical CF. Login to comment

[hide] Comprehensive description of CFTR genotypes and ul... Hum Genet. 2011 Apr;129(4):387-96. Epub 2010 Dec 24. de Becdelievre A, Costa C, Jouannic JM, LeFloch A, Giurgea I, Martin J, Medina R, Boissier B, Gameiro C, Muller F, Goossens M, Alberti C, Girodon E
Comprehensive description of CFTR genotypes and ultrasound patterns in 694 cases of fetal bowel anomalies: a revised strategy.
Hum Genet. 2011 Apr;129(4):387-96. Epub 2010 Dec 24., [PMID:21184098]

Abstract [show]
Fetal bowel anomalies may reveal cystic fibrosis (CF) and the search for CF transmembrane conductance regulator (CFTR) gene mutations is part of the diagnostic investigations in such pregnancies, according to European recommendations. We report on our 18-year experience to document comprehensive CFTR genotypes and correlations with ultrasound patterns in a series of 694 cases of fetal bowel anomalies. CFTR gene analysis was performed in a multistep process, including search for frequent mutations in the parents and subsequent in-depth search for rare mutations, depending on the context. Ultrasound patterns were correlated with the genotypes. Cases were distinguished according to whether they had been referred directly to our laboratory or after an initial testing in another laboratory. A total of 30 CF fetuses and 8 cases compatible with CFTR-related disorders were identified. CFTR rearrangements were found in 5/30 CF fetuses. 21.2% of fetuses carrying a frequent mutation had a second rare mutation, indicative of CF. The frequency of CF among fetuses with no frequent mutation was 0.43%. Correlation with ultrasound patterns revealed a significant frequency of multiple bowel anomalies in CF fetuses. The results emphasize the need to search for rearrangements in the diagnosis strategy of fetal bowel anomalies. The diagnostic value of ultrasound patterns combining hyperechogenic bowel, loop dilatation and/or non-visualized gallbladder reveals a need to revise current strategies and to offer extensive CFTR gene testing when the triad is diagnosed, even when no frequent mutation is found in the first-step analysis.

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126 [R709X] c.[1521_1523delCTT]? Login to comment
137 [R709X] c.[579?1G[T]? Login to comment

[hide] Cystic fibrosis carrier testing in an ethnically d... Clin Chem. 2011 Jun;57(6):841-8. Epub 2011 Apr 7. Rohlfs EM, Zhou Z, Heim RA, Nagan N, Rosenblum LS, Flynn K, Scholl T, Akmaev VR, Sirko-Osadsa DA, Allitto BA, Sugarman EA
Cystic fibrosis carrier testing in an ethnically diverse US population.
Clin Chem. 2011 Jun;57(6):841-8. Epub 2011 Apr 7., [PMID:21474639]

Abstract [show]
BACKGROUND: The incidence of cystic fibrosis (CF) and the frequency of specific disease-causing mutations vary among populations. Affected individuals experience a range of serious clinical consequences, notably lung and pancreatic disease, which are only partially dependent on genotype. METHODS: An allele-specific primer-extension reaction, liquid-phase hybridization to a bead array, and subsequent fluorescence detection were used in testing for carriers of 98 CFTR [cystic fibrosis transmembrane conductance regulator (ATP-binding cassette sub-family C, member 7)] mutations among 364 890 referred individuals with no family history of CF. RESULTS: One in 38 individuals carried one of the 98 CFTR mutations included in this panel. Of the 87 different mutations detected, 18 were limited to a single ethnic group. African American, Hispanic, and Asian individuals accounted for 33% of the individuals tested. The mutation frequency distribution of Caucasians was significantly different from that of each of these ethnic groups (P < 1 x 10(1)). CONCLUSIONS: Carrier testing using a broad mutation panel detects differences in the distribution of mutations among ethnic groups in the US.

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148 An additional 3 mutations (c.803delA, p.R75X, and p.R709X) identified in Asians accounted for 8.6% of all alleles detected in this population. Login to comment

[hide] A neutral variant involved in a complex CFTR allel... Hum Genet. 2005 May;116(6):454-60. Epub 2005 Mar 3. Clain J, Lehmann-Che J, Girodon E, Lipecka J, Edelman A, Goossens M, Fanen P
A neutral variant involved in a complex CFTR allele contributes to a severe cystic fibrosis phenotype.
Hum Genet. 2005 May;116(6):454-60. Epub 2005 Mar 3., [PMID:15744523]

Abstract [show]
In order to further elucidate the contribution of complex alleles to the wide phenotypic variability of cystic fibrosis (CF), we investigated the structure-function relationships of a severe CF-associated complex allele [p.S912L;p.G1244V]. To evaluate the contribution of each mutation to the phenotype, cystic fibrosis transmembrane conductance regulator (CFTR) mutants were expressed in HeLa cells and analysed for protein processing and Cl- channel activity. Both p.G1244V and [p.S912L;p.G1244V] mutants had normal protein processing but markedly decreased Cl- channel activity compared with wild-type. Notably, the double mutant displayed a dramatic decrease in Cl- channel activity compared with p.G1244V (P<0.001). p.S912L had normal protein processing and no detectable impact on CFTR function. In other respects, the p.S912L variation was identified in compound heterozygosity with p.R709X in a healthy fertile man. Together, these data strongly support the view that p.S912L in isolation should be considered as a neutral variant but one that might significantly impair CFTR function when inherited in cis with another CFTR mutation. Our data also further document the contribution of complex alleles to the wide phenotypic variability of CF. The results of functional studies of such complex alleles in other genetic diseases are discussed.

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5 In other respects, the p.S912L variation was identified in compound heterozygosity with p.R709X in a healthy fertile man. Login to comment
16 In vitro experiments and identification of a healthy fertile man bearing the [p.R709X]+[p.S912L] genotype both indicate that the p.S912L mutation should be considered to be a polymorphism. Login to comment
54 The diagnosis of CF was confirmed in the fetus by the presence of two allelic mutations, 711+1G fi T, a splice mutation of intron 5 inherited from the mother, and p.R709X, a nonsense mutation of exon 13 inherited from the father; the father carried the p.S912L variant (not transmitted to the fetus) on the other chromosome. Login to comment
89 Notably, the healthy father of a CF fetus carrying the p.S912L mutation has been identified in our laboratory in the framework of prenatal diagnosis, whereas the CF-associated p.R709X mutation (Bonizzato et al. 1995) has been detected on his other allele. Login to comment

[hide] Spectrum of mutations in the CFTR gene in cystic f... Ann Hum Genet. 2007 Mar;71(Pt 2):194-201. Alonso MJ, Heine-Suner D, Calvo M, Rosell J, Gimenez J, Ramos MD, Telleria JJ, Palacio A, Estivill X, Casals T
Spectrum of mutations in the CFTR gene in cystic fibrosis patients of Spanish ancestry.
Ann Hum Genet. 2007 Mar;71(Pt 2):194-201., [PMID:17331079]

Abstract [show]
We analyzed 1,954 Spanish cystic fibrosis (CF) alleles in order to define the molecular spectrum of mutations in the CFTR gene in Spanish CF patients. Commercial panels showed a limited detection power, leading to the identification of only 76% of alleles. Two scanning techniques, denaturing gradient gel electrophoresis (DGGE) and single strand conformation polymorphism/hetroduplex (SSCP/HD), were carried out to detect CFTR sequence changes. In addition, intragenic markers IVS8CA, IVS8-6(T)n and IVS17bTA were also analyzed. Twelve mutations showed frequencies above 1%, p.F508del being the most frequent mutation (51%). We found that eighteen mutations need to be studied to achieve a detection level of 80%. Fifty-one mutations (42%) were observed once. In total, 121 disease-causing mutations were identified, accounting for 96% (1,877 out of 1,954) of CF alleles. Specific geographic distributions for the most common mutations, p.F508del, p.G542X, c.1811 + 1.6kbA > G and c.1609delCA, were confirmed. Furthermore, two other relatively common mutations (p.V232D and c.2789 + 5G > A) showed uneven geographic distributions. This updated information on the spectrum of CF mutations in Spain will be useful for improving genetic testing, as well as to facilitate counselling in people of Spanish ancestry. In addition, this study contributes to defining the molecular spectrum of CF in Europe, and corroborates the high molecular mutation heterogeneity of Mediterranean populations.

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52 Mutation 0.46-0.35 9 c.1078delT #, p.R347P # 8 p.G85V, c.621 + 1G > T #, p.S549R (T > G) #, p.R553X #, c.3849 + 10kbC > T # 7 p.R347H #, c.1812-1G > A, p.R709X 0.30-0.10 6 p.H199Y, p.P205S, 5 p.R117H #, p.G551D #, p.W1089X, p.Y1092X, CFTR50kbdel 4 c.296 + 3insT, c.1717-1G > A #, c.1949del84, c.3849 + 1G > A 3 p.E92K, c.936delTA, c.1717-8G > A, c.1341G > A, p.A561E, c.2603delT, p.G1244E, [p.D1270N; p.R74W] 2 p.Q2X, p.P5L, CFTRdele2,3, p.S50P, p.E60K, c.405 + 1G > A, c.1677delTA, p.L558S, p.G673X, p.R851X, p.Y1014C, p.Q1100P, p.M1101K, p.D1152H, CFTRdele19, p.G1244V, p.Q1281X, p.Y1381X <0,1 1 c.124del23bp, p.Q30X, p.W57X, c.406-1G > A, p.Q98R, p.E115del, c.519delT, p.L159S, c.711 + 3A > T, p.W202X, c.875 + 1G > A, p.E278del, p.W361R, c.1215delG, p.L365P, p.A399D, c.1548delG, p.K536X, p.R560G, c.1782delA, p.L571S, [p.G576A; p.R668C], p.T582R, p.E585X, c.1898 + 1G > A, c.1898 + 3A > G, c.2051delTT, p.E692X, p.R851L, c.2711delT, c.2751 + 3A > G, c.2752-26A > G, p.D924N, p.S945L, c.3121-1G > A, p.V1008D, p.L1065R, [p.R1070W; p.R668C], [p.F1074L; 5T], p.H1085R, p.R1158X, c.3659delC #, c.3667del4, c.3737delA, c.3860ins31, c.3905insT #, c.4005 + 1G > A, p.T1299I, p.E1308X, p.Q1313X, c.4095 + 2T > A, rearrangements study (n = 4) Mutations identified in CF families with mixed European origin: c.182delT, p.L1254X, c.4010del4. Login to comment

[hide] Cystic fibrosis transmembrane conductance regulato... J Cyst Fibros. 2012 Sep;11(5):355-62. doi: 10.1016/j.jcf.2012.05.001. Epub 2012 Jun 2. Ooi CY, Durie PR
Cystic fibrosis transmembrane conductance regulator (CFTR) gene mutations in pancreatitis.
J Cyst Fibros. 2012 Sep;11(5):355-62. doi: 10.1016/j.jcf.2012.05.001. Epub 2012 Jun 2., [PMID:22658665]

Abstract [show]
BACKGROUND: The pancreas is one of the primary organs affected by dysfunction of the cystic fibrosis transmembrane conductance regulator (CFTR) protein. While exocrine pancreatic insufficiency is a well-recognized complication of cystic fibrosis (CF), symptomatic pancreatitis is often under-recognized. RESULTS: The aim of this review is to provide a general overview of CFTR mutation-associated pancreatitis, which affects patients with pancreatic sufficient CF, CFTR-related pancreatitis, and idiopathic pancreatitis. The current hypothesis regarding the role of CFTR dysfunction in the pathogenesis of pancreatitis, and concepts on genotype-phenotype correlations between CFTR and symptomatic pancreatitis will be reviewed. Symptomatic pancreatitis occurs in 20% of pancreatic sufficient CF patients. In order to evaluate genotype-phenotype correlations, the Pancreatic Insufficiency Prevalence (PIP) score was developed and validated to determine severity in a large number of CFTR mutations. Specific CFTR genotypes are significantly associated with pancreatitis. Patients who carry genotypes with mild phenotypic effects have a greater risk of developing pancreatitis than patients carrying genotypes with moderate-severe phenotypic consequences at any given time. CONCLUSIONS: The genotype-phenotype correlation in pancreatitis is unique compared to other organ manifestations but still consistent with the complex monogenic nature of CF. Paradoxically, genotypes associated with otherwise mild phenotypic effects have a greater risk for causing pancreatitis; compared with genotypes associated with moderate to severe disease phenotypes. Greater understanding into the underlying mechanisms of disease is much needed. The emergence of CFTR-assist therapies may potentially play a future role in the treatment of CFTR-mutation associated pancreatitis.

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855 CFTR mutation Total PI Total PI + PS PIP score CFTR mutation Total PI Total PI + PS PIP score 621+1G>T 96 96 1.00 G542X 74 75 0.99 711+1G>T 36 36 1.00 F508del 1276 1324 0.96 I507del 34 34 1.00 1717-1G>A 20 21 0.95 R553X 24 24 1.00 W1282X 19 20 0.95 Q493X 11 11 1.00 N1303K 45 48 0.94 S489X 11 11 1.00 R1162X 12 13 0.92 1154insTC 10 10 1.00 Y1092X 12 13 0.92 3659delC 9 9 1.00 I148T 10 11 0.91 CFTRdele2 7 7 1.00 V520F 9 10 0.90 4016insT 7 7 1.00 G551D 59 67 0.88 E60X 7 7 1.00 L1077P 5 6 0.83 R560T 7 7 1.00 R1066C 5 6 0.83 R1158X 7 7 1.00 2184insA 9 12 0.75 3905insT 6 6 1.00 2143delT 3 4 0.75 I148T;3199del6 5 5 1.00 1161delC 3 4 0.75 2183AA>G 5 5 1.00 3120+1G>A 3 4 0.75 1898+1G>A 5 5 1.00 S549N 3 4 0.75 2347delG 4 4 1.00 G85E 16 22 0.73 Q1313X 3 3 1.00 R117C 2 3 0.67 Q220X 3 3 1.00 M1101K 19 30 0.63 2184delA 3 3 1.00 P574H 3 5 0.60 1078delT 3 3 1.00 474del13BP 1 2 0.50 L1254X 3 3 1.00 R352Q 1 2 0.50 E585X 3 3 1.00 Q1291H 1 2 0.50 3876delA 2 2 1.00 A455E 18 37 0.49 S4X 2 2 1.00 R347P 6 15 0.40 R1070Q 2 2 1.00 2789+5G>A 6 16 0.38 F508C 2 2 1.00 L206W 6 18 0.33 DELI507 2 2 1.00 IVS8-5T 4 16 0.25 Q1411X 2 2 1.00 3272-26A>G 1 4 0.25 365-366insT 2 2 1.00 R334W 1 10 0.10 R709X 2 2 1.00 3849+10kbC>T 2 22 0.09 1138insG 2 2 1.00 P67L 1 14 0.07 CFTRdele2-4 2 2 1.00 R117H 1 25 0.04 3007delG 2 2 1.00 R347H 0 5 0.00 Q814X 2 2 1.00 G178R 0 3 0.00 394delTT 2 2 1.00 E116K 0 2 0.00 406-1G>A 2 2 1.00 875+1G>C 0 2 0.00 R75X 2 2 1.00 V232D 0 2 0.00 CFTRdel2-3 2 2 1.00 D579G 0 2 0.00 E193X 2 2 1.00 L1335P 0 2 0.00 185+1G>T 2 2 1.00 Mild mutations (based on PIP scores) are shaded in gray. Login to comment

[hide] Clinical evidence that V456A is a Cystic Fibrosis ... J Cyst Fibros. 2012 Jul;11(4):312-5. doi: 10.1016/j.jcf.2012.02.001. Epub 2012 Mar 5. Uppaluri L, England SJ, Scanlin TF
Clinical evidence that V456A is a Cystic Fibrosis causing mutation in South Asians.
J Cyst Fibros. 2012 Jul;11(4):312-5. doi: 10.1016/j.jcf.2012.02.001. Epub 2012 Mar 5., [PMID:22395041]

Abstract [show]
BACKGROUND: Cystic Fibrosis (CF) genotypes in South Asians are variable with a decreased incidence of Delta F508 and an increased incidence of novel mutations. The objective of this study is to provide clinical evidence that V456A, a novel mutation in South Asian Cystic Fibrosis patients, can cause significant lung disease. METHODS: We extracted clinical data from a retrospective chart review of 2 CF patients of South Asian descent. RESULTS: Patient 1, a 10 year and 11 month old Pakistani female at her initial clinic visit, required multiple hospitalizations for bronchiectasis and pulmonary infections. She was pancreatic sufficient but had slow weight gain. Genetic testing revealed that she is homozygous for the CFTR V456A mutation. Patient 2, an Indian female diagnosed with CF on newborn screening, is compound heterozygous for V456A/R709X. She had slow weight gain with BMI ranging from 12.9 to 13.4 kg/m(2) from 3 to 5 years of age and was 14.2 kg/m(2) at 6 years of age. At 6 years of age, pulmonary function tests revealed mild lung disease with FVC of 71%, FEV(1) of 75%, FEF(25-75) of 119%, and FEV(1)/FVC of 86% predicted. Sputum cultures were intermittently positive for Staphylococcus aureus and Haemophilus influenza. CONCLUSIONS: We provide evidence that V456A can cause significant pulmonary disease in South Asian Cystic Fibrosis patients.

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6 Patient 2, an Indian female diagnosed with CF on newborn screening, is compound heterozygous for V456A/R709X. Login to comment
84 Subsequent genetic analysis showed that she was compound heterozygous for V456A and R709X. Login to comment
109 Subsequently it was suggested to be a mild disease causing mutation in adults with bronchiectasis and a new diagnosis of CF when heterozygous with delta F508 [14] and in females with delayed diagnosis of CF with mild disease [15] when heterozygous with R709X. Login to comment
111 V456A is not a common genotype with only 2.4% of 78 South Asian patients exhibiting the V456A/R709X genotype in the genotyped UK population [16]. Login to comment
112 Danziger et al. [17] suggested that V456A is a disease causing mutation based on pathology in 4 heterozygous patients with this mutation but 2 of these patients had delta F508 mutations, one was heterozygous for R709X, and the other heterozygous for an unidentified mutation. Login to comment

[hide] Genotyping microarray for the detection of more th... J Mol Diagn. 2005 Aug;7(3):375-87. Schrijver I, Oitmaa E, Metspalu A, Gardner P
Genotyping microarray for the detection of more than 200 CFTR mutations in ethnically diverse populations.
J Mol Diagn. 2005 Aug;7(3):375-87., [PMID:16049310]

Abstract [show]
Cystic fibrosis (CF), which is due to mutations in the cystic fibrosis transmembrane conductance regulator gene, is a common life-shortening disease. Although CF occurs with the highest incidence in Caucasians, it also occurs in other ethnicities with variable frequency. Recent national guidelines suggest that all couples contemplating pregnancy should be informed of molecular screening for CF carrier status for purposes of genetic counseling. Commercially available CF carrier screening panels offer a limited panel of mutations, however, making them insufficiently sensitive for certain groups within an ethnically diverse population. This discrepancy is even more pronounced when such carrier screening panels are used for diagnostic purposes. By means of arrayed primer extension technology, we have designed a genotyping microarray with 204 probe sites for CF transmembrane conductance regulator gene mutation detection. The arrayed primer extension array, based on a platform technology for disease detection with multiple applications, is a robust, cost-effective, and easily modifiable assay suitable for CF carrier screening and disease detection.

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51 Complete List of Mutations Detectable with the CF APEX Assay CFTR location Amino acid change Nucleotide change 1 E 1 Frameshift 175delC 2 E 2,3 Frameshift del E2, E3 3 E 2 W19C 189 GϾT 4 E 2 Q39X 247 CϾT 5 IVS 2 Possible splicing defect 296 ϩ 12 TϾC 6 E 3 Frameshift 359insT 7 E 3 Frameshift 394delTT 8 E 3 W57X (TAG) 302GϾA 9 E 3 W57X (TGA) 303GϾA 10 E 3 E60X 310GϾT 11 E 3 P67L 332CϾT 12 E 3 R74Q 353GϾA 13 E 3 R75X 355CϾT 14 E 3 G85E 386GϾA 15 E 3 G91R 403GϾA 16 IVS 3 Splicing defect 405 ϩ 1GϾA 17 IVS 3 Possible splicing defect 405 ϩ 3AϾC 18 IVS 3 Splicing defect 406 - 1GϾA 19 E 4 E92X 406GϾT 20 E 4 E92K 406GϾA 21 E 4 Q98R 425AϾG 22 E 4 Q98P 425AϾC 23 E 4 Frameshift 444delA 24 E 4 Frameshift 457TATϾG 25 E 4 R117C 481CϾT 26 E 4 R117H 482GϾA 27 E 4 R117P 482GϾC 28 E 4 R117L 482GϾT 29 E 4 Y122X 498TϾA 30 E 4 Frameshift 574delA 31 E 4 I148T 575TϾC 32 E 4 Splicing defect 621GϾA 33 IVS 4 Splicing defect 621 ϩ 1GϾT 34 IVS 4 Splicing defect 621 ϩ 3AϾG 35 E 5 Frameshift 624delT 36 E 5 Frameshift 663delT 37 E 5 G178R 664GϾA 38 E 5 Q179K 667CϾA 39 IVS 5 Splicing defect 711 ϩ 1GϾT 40 IVS 5 Splicing defect 711 ϩ 1GϾA 41 IVS 5 Splicing defect 712 - 1GϾT 42 E 6a H199Y 727CϾT 43 E 6a P205S 745CϾT 44 E 6a L206W 749TϾG 45 E 6a Q220X 790CϾT 46 E 6b Frameshift 935delA 47 E 6b Frameshift 936delTA 48 E 6b N287Y 991AϾT 49 IVS 6b Splicing defect 1002 - 3TϾG 50 E 7 ⌬F311 3-bp del between nucleotides 1059 and 1069 51 E 7 Frameshift 1078delT 52 E 7 Frameshift 1119delA 53 E 7 G330X 1120GϾT 54 E 7 R334W 1132CϾT 55 E 7 I336K 1139TϾA 56 E 7 T338I 1145CϾT 57 E 7 Frameshift 1154insTC 58 E 7 Frameshift 1161delC 59 E 7 L346P 1169TϾC 60 E 7 R347H 1172GϾA 61 E 7 R347P 1172GϾC 62 E 7 R347L 1172GϾT 63 E 7 R352Q 1187GϾA 64 E 7 Q359K/T360K 1207CϾA and 1211CϾA 65 E 7 S364P 1222TϾC 66 E 8 Frameshift 1259insA 67 E 8 W401X (TAG) 1334GϾA 68 E 8 W401X (TGA) 1335GϾA 69 IVS 8 Splicing changes 1342 - 6 poly(T) variants 5T/7T/9T 70 IVS 8 Splicing defect 1342 - 2AϾC Table 1. Continued CFTR location Amino acid change Nucleotide change 71 E 9 A455E 1496CϾA 72 E 9 Frameshift 1504delG 73 E 10 G480C 1570GϾT 74 E 10 Q493X 1609CϾT 75 E 10 Frameshift 1609delCA 76 E 10 ⌬I507 3-bp del between nucleotides 1648 and 1653 77 E 10 ⌬F508 3-bp del between nucleotides 1652 and 1655 78 E 10 Frameshift 1677delTA 79 E 10 V520F 1690GϾT 80 E 10 C524X 1704CϾA 81 IVS 10 Possible splicing defect 1717 - 8GϾA 82 IVS 10 Splicing defect 1717 - 1GϾA 83 E 11 G542X 1756GϾT 84 E 11 G551D 1784GϾA 85 E 11 Frameshift 1784delG 86 E 11 S549R (AϾC) 1777AϾC 87 E 11 S549I 1778GϾT 88 E 11 S549N 1778GϾA 89 E 11 S549R (TϾG) 1779TϾG 90 E 11 Q552X 1786CϾT 91 E 11 R553X 1789CϾT 92 E 11 R553G 1789CϾG 93 E 11 R553Q 1790GϾA 94 E 11 L558S 1805TϾC 95 E 11 A559T 1807GϾA 96 E 11 R560T 1811GϾC 97 E 11 R560K 1811GϾA 98 IVS 11 Splicing defect 1811 ϩ 1.6 kb AϾG 99 IVS 11 Splicing defect 1812 - 1GϾA 100 E 12 Y563D 1819TϾG 101 E 12 Y563N 1819TϾA 102 E 12 Frameshift 1833delT 103 E 12 D572N 1846GϾA 104 E 12 P574H 1853CϾA 105 E 12 T582R 1877CϾG 106 E 12 E585X 1885GϾT 107 IVS 12 Splicing defect 1898 ϩ 5GϾT 108 IVS 12 Splicing defect 1898 ϩ 1GϾA 109 IVS 12 Splicing defect 1898 ϩ 1GϾC 110 IVS 12 Splicing defect 1898 ϩ 1GϾT 111 E 13 Frameshift 1924del7 112 E 13 del of 28 amino acids 1949del84 113 E 13 I618T 1985TϾC 114 E 13 Frameshift 2183AAϾG 115 E 13 Frameshift 2043delG 116 E 13 Frameshift 2055del9ϾA 117 E 13 D648V 2075TϾA 118 E 13 Frameshift 2105-2117 del13insAGAA 119 E 13 Frameshift 2108delA 120 E 13 R668C 2134CϾT 121 E 13 Frameshift 2143delT 122 E 13 Frameshift 2176insC 123 E 13 Frameshift 2184delA 124 E 13 Frameshift 2184insA 125 E 13 Q685X 2185CϾT 126 E 13 R709X 2257CϾT 127 E 13 K710X 2260AϾT 128 E 13 Frameshift 2307insA 129 E 13 V754M 2392GϾA 130 E 13 R764X 2422CϾT 131 E 14a W846X 2670GϾA 132 E 14a Frameshift 2734delGinsAT 133 E 14b Frameshift 2766del8 134 IVS 14b Splicing defect 2789 ϩ 5GϾA 135 IVS 14b Splicing defect 2790 - 2AϾG 136 E 15 Q890X 2800CϾT 137 E 15 Frameshift 2869insG 138 E 15 S945L 2966CϾT 139 E 15 Frameshift 2991del32 140 E 16 Splicing defect 3120GϾA interrogation: ACCAACATGTTTTCTTTGATCTTAC 3121-2A3G,T S; 5Ј-ACCAACATGTTTTCTTTGATCTTAC A GTTGTTATTAATTGTGATTGGAGCTATAG-3Ј; CAACAA- TAATTAACACTAACCTCGA 3121-2A3G,T AS. Login to comment
150 Primers Generated to Create Synthetic Templates That Serve As Positive Mutation Controls Primer name Sense strand 5Ј 3 3Ј Name Antisense strand 5Ј 3 3Ј 175delC synt F T(15)ATTTTTTTCAGGTGAGAAGGTGGCCA 175delC synt R T(15)ATTTGGAGACAACGCTGGCCTTTTCC W19C synt F T(15)TACCAGACCAATTTTGAGGAAAGGAT W19C synt R T(15)ACAGCTAAAATAAAGAGAGGAGGAAC Q39X synt F T(15)TAAATCCCTTCTGTTGATTCTGCTGA Q39X synt R T(15)AGTATATGTCTGACAATTCCAGGCGC 296 ϩ 12TϾC synt F T(15)CACATTGTTTAGTTGAAGAGAGAAAT 296 ϩ 12TϾC synt R T(15)GCATGAACATACCTTTCCAATTTTTC 359insT synt F T(15)TTTTTTTCTGGAGATTTATGTTCTAT 359insT synt R T(15)AAAAAAACATCGCCGAAGGGCATTAA E60X synt F T(15)TAGCTGGCTTCAAAGAAAAATCCTAA E60X synt R T(15)ATCTATCCCATTCTCTGCAAAAGAAT P67L synt F T(15)TTAAACTCATTAATGCCCTTCGGCGA P67L synt R T(15)AGATTTTTCTTTGAAGCCAGCTCTCT R74Q synt F T(15)AGCGATGTTTTTTCTGGAGATTTATG R74Q synt R T(15)TGAAGGGCATTAATGAGTTTAGGATT R75X synt F T(15)TGATGTTTTTTCTGGAGATTTATGTT R75X synt R T(15)ACCGAAGGGCATTAATGAGTTTAGGA W57X(TAG) synt F T(15)AGGATAGAGAGCTGGCTTCAAAGAAA W57X(TAG) synt R T(15)TATTCTCTGCAAAAGAATAAAAAGTG W57X(TGA) synt F T(15)AGATAGAGAGCTGGCTTCAAAGAAAA W57X(TGA) synt R T(15)TCATTCTCTGCAAAAGAATAAAAAGT G91R synt F T(15)AGGGTAAGGATCTCATTTGTACATTC G91R synt R T(15)TTAAATATAAAAAGATTCCATAGAAC 405 ϩ 1GϾA synt F T(15)ATAAGGATCTCATTTGTACATTCATT 405 ϩ 1GϾA synt R T(15)TCCCTAAATATAAAAAGATTCCATAG 405 ϩ 3AϾC synt F T(15)CAGGATCTCATTTGTACATTCATTAT 405 ϩ 3AϾC synt R T(15)GACCCCTAAATATAAAAAGATTCCAT 406 - 1GϾA synt F T(15)AGAAGTCACCAAAGCAGTACAGCCTC 406 - 1GϾA synt R T(15)TTACAAAAGGGGAAAAACAGAGAAAT E92X synt F T(15)TAAGTCACCAAAGCAGTACAGCCTCT E92X synt R T(15)ACTACAAAAGGGGAAAAACAGAGAAA E92K synt F T(15)AAAGTCACCAAAGCAGTACAGCCTCT E92K synt R T(15)TCTACAAAAGGGGAAAAACAGAGAAA 444delA synt F T(15)GATCATAGCTTCCTATGACCCGGATA 444delA synt R T(15)ATCTTCCCAGTAAGAGAGGCTGTACT 574delA synt F T(15)CTTGGAATGCAGATGAGAATAGCTAT 574delA synt R T(15)AGTGATGAAGGCCAAAAATGGCTGGG 621GϾA synt F T(15)AGTAATACTTCCTTGCACAGGCCCCA 621GϾA synt R T(15)TTTCTTATAAATCAAACTAAACATAG Q98P synt F T(15)CGCCTCTCTTACTGGGAAGAATCATA Q98P synt R T(15)GGTACTGCTTTGGTGACTTCCTACAA 457TATϾG synt F T(15)GGACCCGGATAACAAGGAGGAACGCT 457TATϾG synt R T(15)CGGAAGCTATGATTCTTCCCAGTAAG I148T synt F T(15)CTGGAATGCAGATGAGAATAGCTATG I148T synt R T(15)GTGTGATGAAGGCCAAAAATGGCTGG 624delT synt F T(15)CTTAAAGCTGTCAAGCCGTGTTCTAG 624delT synt R T(15)TAAGTCTAAAAGAAAAATGGAAAGTT 663delT synt F T(15)ATGGACAACTTGTTAGTCTCCTTTCC 663delT synt R T(15)CATACTTATTTTATCTAGAACACGGC G178R synt F T(15)AGACAACTTGTTAGTCTCCTTTCCAA G178R synt R T(15)TAATACTTATTTTATCTAGAACACGG Q179K synt F T(15)AAACTTGTTAGTCTCCTTTCCAACAA Q179K synt R T(15)TTCCAATACTTATTTTATCTAGAACA 711 ϩ 5GϾA synt F T(15)ATACCTATTGATTTAATCTTTTAGGC 711 ϩ 5GϾA synt R T(15)TTATACTTCATCAAATTTGTTCAGGT 712 - 1GϾT synt F T(15)TGGACTTGCATTGGCACATTTCGTGT 712 - 1GϾT synt R T(15)TATGGAAAATAAAAGCACAGCAAAAAC H199Y synt F T(15)TATTTCGTGTGGATCGCTCCTTTGCA H199Y synt R T(15)TATGCCAATGCTAGTCCCTGGAAAATA P205S synt F T(15)TCTTTGCAAGTGGCACTCCTCATGGG P205S synt R T(15)TAAGCGATCCACACGAAATGTGCCAAT L206W synt F T(15)GGCAAGTGGCACTCCTCATGGGGCTA L206W synt R T(15)TCAAGGAGCGATCCACACGAAATGTGC Q220X synt F T(15)TAGGCGTCTGCTTTCTGTGGACTTGG Q220X synt R T(15)TATAACAACTCCCAGATTAGCCCCATG 936delTA synt F T(15)AATCCAATCTGTTAAGGCATACTGCT 936delTA synt R T(15)TGATTTTCAATCATTTCTGAGGTAATC 935delA synt F T(15)GAAATATCCAATCTGTTAAGGCATAC 935delA synt R T(15)TATTTCAATCATTTCTGAGGTAATCAC N287Y synt F T(15)TACTTAAGACAGTAAGTTGTTCCAAT N287Y synt R T(15)TATTCAATCATTTTTTCCATTGCTTCT 1002 - 3TϾG synt F T(15)GAGAACAGAACTGAAACTGACTCGGA 1002 - 3TϾG synt R T(15)TCTAAAAAACAATAACAATAAAATTCA 1154insTC syntwt F T(15)ATCTCATTCTGCATTGTTCTGCGCAT 1154insTC syntwt R T(15)TTGAGATGGTGGTGAATATTTTCCGGA 1154insTC syntmt F T(15)TCTCTCATTCTGCATTGTTCTGCGCAT 1154insTC syntmt R T(15)TAGAGATGGTGGTGAATATTTTCCGGA DF311 mt syntV1 F T(15)CCTTCTTCTCAGGGTTCTTTGTGGTG dF311 mt syntV1 R T(15)GAGAAGAAGGCTGAGCTATTGAAGTATC G330X synt F T(15)TGAATCATCCTCCGGAAAATATTCAC G330X synt R T(15)ATTTGATTAGTGCATAGGGAAGCACA S364P synt F T(15)CCTCTTGGAGCAATAAACAAAATACA S364P synt R T(15)GGTCATACCATGTTTGTACAGCCCAG Q359K/T360K mt synt F T(15)AAAAAATGGTATGACTCTCTTGGAGC Q359K/T360K mt synt R T(15)TTTTTTACAGCCCAGGGAAATTGCCG 1078delT synt F T(15)CTTGTGGTGTTTTTATCTGTGCTTCC 1078delT synt R T(15)CAAGAACCCTGAGAAGAAGAAGGCTG 1119delA synt F T(15)CAAGGAATCATCCTCCGGAAAATATT 1119delA synt R T(15)CTTGATTAGTGCATAGGGAAGCACAG 1161delC synt F T(15)GATTGTTCTGCGCATGGCGGTCACTC 1161delC synt R T(15)TCAGAATGAGATGGTGGTGAATATTT T338I synt F T(15)TCACCATCTCATTCTGCATTGTTCTG T338I synt R T(15)ATGAATATTTTCCGGAGGATGATTCC R352Q synt F T(15)AGCAATTTCCCTGGGCTGTACAAACA R352Q synt R T(15)TGAGTGACCGCCATGCGCAGAACAAT L346P synt F T(15)CGCGCATGGCGGTCACTCGGCAATTT L346P synt R T(15)GGAACAATGCAGAATGAGATGGTGGT 1259insA synt F T(15)AAAAAGCAAGAATATAAGACATTGGA 1259insA synt R T(15)TTTTTGTAAGAAATCCTATTTATAAA W401X(TAG)mtsynt F T(15)AGGAGGAGGTCAGAATTTTTAAAAAA W401X(TAG)mtsynt R T(15)TAGAAGGCTGTTACATTCTCCATCAC W401X(TGA) synt F T(15)AGAGGAGGTCAGAATTTTTAAAAAAT W401X(TGA) synt R T(15)TCAGAAGGCTGTTACATTCTCCATCA 1342 - 2AϾC synt F T(15)CGGGATTTGGGGAATTATTTGAGAAA 1342 - 2AϾC synt R T(15)GGTTAAAAAAACACACACACACACAC 1504delG synt F T(15)TGATCCACTGTAGCAGGCAAGGTAGT 1504delG synt R T(15)TCAGCAACCGCCAACAACTGTCCTCT G480C synt F T(15)TGTAAAATTAAGCACAGTGGAAGAAT G480C synt R T(15)ACTCTGAAGGCTCCAGTTCTCCCATA C524X synt F T(15)ACAACTAGAAGAGGTAAGAAACTATG C524X synt R T(15)TCATGCTTTGATGACGCTTCTGTATC V520F synt F T(15)TTCATCAAAGCAAGCCAACTAGAAGA V520F synt R T(15)AGCTTCTGTATCTATATTCATCATAG 1609delCA synt F T(15)TGTTTTCCTGGATTATGCCTGGCACC 1609delCA synt R T(15)CAGAACAGAATGAAATTCTTCCACTG 1717 - 8GϾA synt F T(15)AGTAATAGGACATCTCCAAGTTTGCA 1717 - 8GϾA synt R T(15)TAAAAATAGAAAATTAGAGAGTCACT 1784delG synt F T(15)AGTCAACGAGCAAGAATTTCTTTAGC 1784delG synt R T(15)ACTCCACTCAGTGTGATTCCACCTTC A559T synt F T(15)ACAAGGTGAATAACTAATTATTGGTC A559T synt R T(15)TTAAAGAAATTCTTGCTCGTTGACCT Q552X synt F T(15)TAACGAGCAAGAATTTCTTTAGCAAG Q552X synt R T(15)AACCTCCACTCAGTGTGATTCCACCT S549R(AϾC) synt F T(15)CGTGGAGGTCAACGAGCAAGAATTTC S549R(AϾC) synt R T(15)GCAGTGTGATTCTACCTTCTCCAAGA S549R(TϾG) synt F T(15)GGGAGGTCAACGAGCAAGTATTTC S549R(TϾG) synt R T(15)CCTCAGTGTGATTCCACCTTCTCCAA L558S synt F T(15)CAGCAAGGTGAATAACTAATTATTGG L558S synt R T(15)GAAGAAATTCTCGCTCGTTGACCTCC 1811 ϩ 1.6 kb AϾG synt F T(15)GTAAGTAAGGTTACTATCAATCACAC 1811 ϩ 1.6 kb AϾG synt R T(15)CATCTCAAGTACATAGGATTCTCTGT 1812 - 1GϾA synt F T(15)AAGCAGTATACAAAGATGCTGATTTG 1812 - 1GϾA synt R T(15)TTAAAAAGAAAATGGAAATTAAATTA D572N synt F T(15)AACTCTCCTTTTGGATACCTAGATGT D572N synt R T(15)TTAATAAATACAAATCAGCATCTTTG P574H synt F T(15)ATTTTGGATACCTAGATGTTTTAACA P574H synt R T(15)TGAGAGTCTAATAAATACAAATCAGC 1833delT synt F T(15)ATTGTATTTATTAGACTCTCCTTTTG 1833delT synt R T(15)CAATCAGCATCTTTGTATACTGCTCT Table 4. Continued Primer name Sense strand 5Ј 3 3Ј Name Antisense strand 5Ј 3 3Ј Y563D synt F T(15)GACAAAGATGCTGATTTGTATTTATT Y563D synt R T(15)CTACTGCTCTAAAAAGAAAATGGAAA T582R synt F T(15)GAGAAAAAGAAATATTTGAAAGGTAT T582R synt R T(15)CTTAAAACATCTAGGTATCCAAAAGG E585X synt F T(15)TAAATATTTGAAAGGTATGTTCTTTG E585X synt R T(15)ATTTTTCTGTTAAAACATCTAGGTAT 1898 ϩ 5GϾT synt F T(15)TTTCTTTGAATACCTTACTTATATTG 1898 ϩ 5GϾT synt R T(15)AATACCTTTCAAATATTTCTTTTTCT 1924del7 synt F T(15)CAGGATTTTGGTCACTTCTAAAATGG 1924del7 synt R T(15)CTGTTAGCCATCAGTTTACAGACACA 2055del9ϾA synt F T(15)ACATGGGATGTGATTCTTTCGACCAA 2055del9ϾA synt R T(15)TCTAAAGTCTGGCTGTAGATTTTGGA D648V synt F T(15)TTTCTTTCGACCAATTTAGTGCAGAA D648V synt R T(15)ACACATCCCATGAGTTTTGAGCTAAA K710X synt F T(15)TAATTTTCCATTGTGCAAAAGACTCC K710X synt R T(15)ATCGTATAGAGTTGATTGGATTGAGA I618T synt F T(15)CTTTGCATGAAGGTAGCAGCTATTTT I618T synt R T(15)GTTAATATTTTGTCAGCTTTCTTTAA R764X synt F T(15)TGAAGGAGGCAGTCTGTCCTGAACCT R764X synt R T(15)ATGCCTGAAGCGTGGGGCCAGTGCTG Q685X synt F T(15)TAATCTTTTAAACAGACTGGAGAGTT Q685X synt R T(15)ATTTTTTTGTTTCTGTCCAGGAGACA R709X synt F T(15)TGAAAATTTTCCATTGTGCAAAAGAC R709X synt R T(15)ATATAGAGTTGATTGGATTGAGAATA V754M synt F T(15)ATGATCAGCACTGGCCCCACGCTTCA V754M synt R T(15)TGCTGATGCGAGGCAGTATCGCCTCT 1949del84 synt F T(15)AAAAATCTACAGCCAGACTTTATCTC 1949del84 synt R T(15)TTTTTAGAAGTGACCAAAATCCTAGT 2108delA synt F T(15)GAATTCAATCCTAACTGAGACCTTAC 2108delA synt R T(15)ATTCTTCTTTCTGCACTAAATTGGTC 2176insC synt F T(15)CCAAAAAAACAATCTTTTAAACAGACTGGAGAG 2176insC synt R T(15)GGTTTCTGTCCAGGAGACAGGAGCAT 2184delA synt F T(15)CAAAAAACAATCTTTTAAACAGACTGG 2184delA synt R T(15)GTTTTTTGTTTCTGTCCAGGAGACAG 2105-2117 del13 synt F T(15)AAACTGAGACCTTACACCGTTTCTCA 2105-2117 del13 synt R T(15)TTTCTTTCTGCACTAAATTGGTCGAA 2307insA synt F T(15)AAAGAGGATTCTGATGAGCCTTTAGA 2307insA synt R T(15)TTTCGATGCCATTCATTTGTAAGGGA W846X synt F T(15)AAACACATACCTTCGATATATTACTGTCCAC W846X synt R T(15)TCATGTAGTCACTGCTGGTATGCTCT 2734G/AT synt F T(15)TTAATTTTTCTGGCAGAGGTAAGAAT 2734G/AT synt R T(15)TTAAGCACCAAATTAGCACAAAAATT 2766del8 synt F T(15)GGTGGCTCCTTGGAAAGTGAGTATTC 2766del8 synt R T(15)CACCAAAGAAGCAGCCACCTGGAATGG 2790 - 2AϾG synt F T(15)GGCACTCCTCTTCAAGACAAAGGGAA 2790 - 2AϾG synt R T(15)CGTAAAGCAAATAGGAAATCGTTAAT 2991del32 synt F T(15)TTCAACACGTCGAAAGCAGGTACTTT 2991del32 synt R T(15)AAACATTTTGTGGTGTAAAATTTTCG Q890X synt F T(15)TAAGACAAAGGGAATAGTACTCATAG Q890X synt R T(15)AAAGAGGAGTGCTGTAAAGCAAATAG 2869insG synt F T(15)GATTATGTGTTTTACATTTACGTGGG 2869insG synt R T(15)CACGAACTGGTGCTGGTGATAATCAC 3120GϾA synt F T(15)AGTATGTAAAAATAAGTACCGTTAAG 3120GϾA synt R T(15)TTGGATGAAGTCAAATATGGTAAGAG 3121 - 2AϾT synt F T(15)TGTTGTTATTAATTGTGATTGGAGCT 3121 - 2AϾT synt R T(15)AGTAAGATCAAAGAAAACATGTTGGT 3132delTG synt F T(15)TTGATTGGAGCCATAGCAGTTGTCGC 3132delTG synt R T(15)AATTAATAACAACTGTAAGATCAAAG 3271delGG synt F T(15)ATATGACAGTGAATGTGCGATACTCA 3271delGG synt R T(15)ATTCAGATTCCAGTTGTTTGAGTTGC 3171delC synt F T(15)ACCTACATCTTTGTTGCAACAGTGCC 3171delC synt R T(15)AGGTTGTAAAACTGCGACAACTGCTA 3171insC synt F T(15)CCCCTACATCTTTGTTGCTACAGTGC 3171insC synt R T(15)GGGGTTGTAAAACTGCGACAACTGCT 3199del6 synt F T(15)GAGTGGCTTTTATTATGTTGAGAGCATAT 3199del6 synt R T(15)CCACTGGCACTGTTGCAACAAAGATG M1101K synt F T(15)AGAGAATAGAAATGATTTTTGTCATC M1101K synt R T(15)TTTTGGAACCAGCGCAGTGTTGACAG G1061R synt F T(15)CGACTATGGACACTTCGTGCCTTCGG G1061R synt R T(15)GTTTTAAGCTTGTAACAAGATGAGTG R1066L synt F T(15)TTGCCTTCGGACGGCAGCCTTACTTT R1066L synt R T(15)AGAAGTGTCCATAGTCCTTTTAAGCT R1070P synt F T(15)CGCAGCCTTACTTTGAAACTCTGTTC R1070P synt R T(15)GGTCCGAAGGCACGAAGTGTCCATAG L1077P synt F T(15)CGTTCCACAAAGCTCTGAATTTACAT L1077P synt R T(15)GGAGTTTCAAAGTAAGGCTGCCGTCC W1089X synt F T(15)AGTTCTTGTACCTGTCAACACTGCGC W1089X synt R T(15)TAGTTGGCAGTATGTAAATTCAGAGC L1093P synt F T(15)CGTCAACACTGCGCTGGTTCCAAATG L1093P synt R T(15)GGGTACAAGAACCAGTTGGCAGTATG W1098R synt F T(15)CGGTTCCAAATGAGAATAGAAATGAT W1098R synt R T(15)GGCGCAGTGTTGACAGGTACAAGAAC Q1100P synt F T(15)CAATGAGAATAGAAATGATTTTTGTC Q1100P synt R T(15)GGGAACCAGCGCAGTGTTGACAGGTA D1152H synt F T(15)CATGTGGATAGCTTGGTAAGTCTTAT D1152H synt R T(15)GTATGCTGGAGTTTACAGCCCACTGC R1158X synt F T(15)TGATCTGTGAGCCGAGTCTTTAAGTT R1158X synt R T(15)ACATCTGAAATAAAAATAACAACATT S1196X synt F T(15)GACACGTGAAGAAAGATGACATCTGG S1196X synt R T(15)CAATTCTCAATAATCATAACTTTCGA 3732delA synt F T(15)GGAGATGACATCTGGCCCTCAGGGGG 3732delA synt R T(15)CTCCTTCACGTGTGAATTCTCAATAA 3791delC synt F T(15)AAGAAGGTGGAAATGCCATATTAGAG 3791delC synt R T(15)TTGTATTTTGCTGTGAGATCTTTGAC 3821delT synt F T(15)ATTCCTTCTCAATAAGTCCTGGCCAG 3821delT synt R T(15)GAATGTTCTCTAATATGGCATTTCCA Q1238X synt F T(15)TAGAGGGTGAGATTTGAACACTGCTT Q1238X synt R T(15)AGCCAGGACTTATTGAGAAGGAAATG S1255X (ex19)synt F T(15)GTCTGGCCCTCAGGGGGCCAAATGAC S1255X (ex19) synt R T(15)CGTCATCTTTCTTCACGTGTGAATTC S1255X;L synt F T(15)AAGCTTTTTTGAGACTACTGAACACT S1255X;L synt R T(15)TATAACAAAGTAATCTTCCCTGATCC 3849 ϩ 4AϾG synt F T(15)GGATTTGAACACTGCTTGCTTTGTTA 3849 ϩ 4AϾG synt R T(15)CCACCCTCTGGCCAGGACTTATTGAG 3850 - 1GϾA synt F T(15)AGTGGGCCTCTTGGGAAGAACTGGAT 3850 - 1GϾA synt R T(15)TTATAAGGTAAAAGTGATGGGATCAC 3905insT synt F T(15)TTTTTTTGAGACTACTGAACACTGAA 3905insT synt R T(15)AAAAAAAGCTGATAACAAAGTACTCT 3876delA synt F T(15)CGGGAAGAGTACTTTGTTATCAGCTT 3876delA synt R T(15)CGATCCAGTTCTTCCCAAGAGGCCCA G1244V synt F T(15)TAAGAACTGGATCAGGGAAGAGTACT G1244V synt R T(15)ACCAAGAGGCCCACCTATAAGGTAAA G1249E synt F T(15)AGAAGAGTACTTTGTTATCAGCTTTT G1249E synt R T(15)TCTGATCCAGTTCTTCCCAAGAGGCC S1251N synt F T(15)ATACTTTGTTATCAGCTTTTTTGAGACTACTG S1251N synt R T(15)TTCTTCCCTGATCCAGTTCTTCCCAA S1252P synt F T(15)CCTTTGTTATCAGCTTTTTTGAGACT S1252P synt R T(15)GACTCTTCCCTGATCCAGTTCTTCCC D1270N synt F T(15)AATGGTGTGTCTTGGGATTCAATAAC D1270N synt R T(15)TGATCTGGATTTCTCCTTCAGTGTTC W1282R synt F T(15)CGGAGGAAAGCCTTTGGAGTGATACC W1282R synt R T(15)GCTGTTGCAAAGTTATTGAATCCCAA R1283K synt F T(15)AGAAAGCCTTTGGAGTGATACCACAG R1283K synt R T(15)TTCCACTGTTGCAAAGTTATTGAATC 4005 ϩ 1GϾA synt F T(15)ATGAGCAAAAGGACTTAGCCAGAAAA 4005 ϩ 1GϾA synt R T(15)TCTGTGGTATCACTCCAAAGGCTTTC 4010del4 synt F T(15)GTATTTTTTCTGGAACATTTAGAAAAAACTTGG 4010del4 synt R T(15)AAAATACTTTCTATAGCAAAAAAGAAAAGAAGAA 4016insT synt F T(15)TTTTTTTCTGGAACATTTAGAAAAAACTTGG 4016insT synt R T(15)AAAAAAATAAATACTTTCTATAGCAAAAAAGAAAAGAAGA CFTRdele21 synt F T(15)TAGGTAAGGCTGCTAACTGAAATGAT CFTRdele21 synt R T(15)CCTATAGCAAAAAAGAAAAGAAGAAGAAAGTATG 4382delA synt F T(15)GAGAGAACAAAGTGCGGCAGTACGAT 4382delA synt R T(15)CTCTATGACCTATGGAAATGGCTGTT Bold, mutation allele of interest; bold and italicized, modified nucleotide. 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[hide] Spectrum of CFTR mutations in cystic fibrosis and ... Hum Mutat. 2000;16(2):143-56. Claustres M, Guittard C, Bozon D, Chevalier F, Verlingue C, Ferec C, Girodon E, Cazeneuve C, Bienvenu T, Lalau G, Dumur V, Feldmann D, Bieth E, Blayau M, Clavel C, Creveaux I, Malinge MC, Monnier N, Malzac P, Mittre H, Chomel JC, Bonnefont JP, Iron A, Chery M, Georges MD
Spectrum of CFTR mutations in cystic fibrosis and in congenital absence of the vas deferens in France.
Hum Mutat. 2000;16(2):143-56., [PMID:10923036]

Abstract [show]
We have collated the results of cystic fibrosis (CF) mutation analysis conducted in 19 laboratories in France. We have analyzed 7, 420 CF alleles, demonstrating a total of 310 different mutations including 24 not reported previously, accounting for 93.56% of CF genes. The most common were F508del (67.18%; range 61-80), G542X (2.86%; range 1-6.7%), N1303K (2.10%; range 0.75-4.6%), and 1717-1G>A (1.31%; range 0-2.8%). Only 11 mutations had relative frequencies >0. 4%, 140 mutations were found on a small number of CF alleles (from 29 to two), and 154 were unique. These data show a clear geographical and/or ethnic variation in the distribution of the most common CF mutations. This spectrum of CF mutations, the largest ever reported in one country, has generated 481 different genotypes. We also investigated a cohort of 800 French men with congenital bilateral absence of the vas deferens (CBAVD) and identified a total of 137 different CFTR mutations. Screening for the most common CF defects in addition to assessment for IVS8-5T allowed us to detect two mutations in 47.63% and one in 24.63% of CBAVD patients. In a subset of 327 CBAVD men who were more extensively investigated through the scanning of coding/flanking sequences, 516 of 654 (78. 90%) alleles were identified, with 15.90% and 70.95% of patients carrying one or two mutations, respectively, and only 13.15% without any detectable CFTR abnormality. The distribution of genotypes, classified according to the expected effect of their mutations on CFTR protein, clearly differed between both populations. CF patients had two severe mutations (87.77%) or one severe and one mild/variable mutation (11.33%), whereas CBAVD men had either a severe and a mild/variable (87.89%) or two mild/variable (11.57%) mutations.

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No. Sentence Comment
107 f 306insA, W79X, R117C, P205S, L227R, I336K, 1248+1G>A, 1609delCA, 1717-8G>A, S549R(T>G), S549N, 1812-1G>A, P574H, 2176insC, R709X, E827X, D836Y, 3007delG, L1065P, L1077P, H1085R, M1101K, 4021insT. Login to comment

[hide] A comparison of fluorescent SSCP and denaturing HP... Hum Mutat. 2000;15(6):556-64. Ellis LA, Taylor CF, Taylor GR
A comparison of fluorescent SSCP and denaturing HPLC for high throughput mutation scanning.
Hum Mutat. 2000;15(6):556-64., [PMID:10862085]

Abstract [show]
We examined 67 different mutations in 16 different amplicons in a comparison of mutation detection by fluorescent single strand conformation polymorphism (F-SSCP) and by denaturing HPLC (DHPLC). F-SSCP was used to analyze fluorescent amplicons with internal size standards and automated fragment analysis (GeneScan, PE Applied Biosystems, Foster City, CA). In DHPLC, unlabelled amplicons were analyzed by reverse phase HPLC with fragment detection by absorbance at 260nm. Both methods had high sensitivity (95-100%) and specificity (100%). Overall, F-SSCP with external temperature control was the more sensitive method, but DHPLC was particularly useful for the rapid analysis of novel fragments.

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81 MDE alone failed to detect R560T, S549R, and R709X under any conditions described. Login to comment
97 Comparison of F-SSCP and DHPLC Using a Panel of ABCC7 Mutations Gel condition Location Location 49:1 49:1 49:1 49:1 MDE MDE MDE Capillary DHPLC °C from 5' (bp) from 3' (bp) 15 20 25 35 20 25 35 35 N/A Exon 3 (320bp) E60X 128 192 + + + + + + + + - P67L 150 170 + + + - + + + - + R75X 173 147 + + + + + + + + + R75Q 174 146 + + + - + + + + + G85E 204 116 + + + - + + + + + L88S 213 107 + + + + + + + + + Exon 4 (400bp) 441delA 135 265 + + + + + + + + + D110H 154 246 + + + + + + - + + R117H/H 176 224 + + + + + + + + N/A R117R/H 176 224 + + + + + + + + + L137H 236 164 + + + + + + + + + I148T 261 139 + + + + + + + + + 621+1 (G>T) 309 91 + + + + + + + + + Exon 7 (360bp) R334W 180 180 + + + + + + + - + 1058delC 105 255 + + + + + + + + + 1078delT 125 235 + + + - + + + + + 1138insG 226 134 - + + - + + + + + 1154insTC 202 158 + + + + + + + + + 1161delC 209 151 + + + + + + + + + R347H 220 140 + + + + + + - + + R347P 220 140 + + + - + + + - + A349V 226 134 + + + + + + + + + W356X 248 112 + + + + + + + + + Exon 10 (365bp) M470V 143 222 + + + + + + + + + Q493X 212 153 + + + + + + - + - DelF508 255 110 + + + + + + + + - Del I507 253 112 + + + + + + + + + V520F 293 72 + + - + + - + - + Exon 11 (190bp) 1717-1 (G>A) 54 136 + + + - + + - + + G542X 94 96 + + + - + + - + + S549N 116 74 + + + + + + + + - S549R 117 73 + + + + - - - + + G551D 122 68 + - - - + + + - + R553X 127 63 + + + + + + + + + G551D/R553X + + + + + + + + + R560T 149 41 + + + - - - - - + R560K 149 41 + + + - + + + - + 1811+1 (G>C) 150 40 + + + + + + + + + Exon 12 (250bp) 1898+1(G>A) 167 83 + + + + + + - + + Exon 13a (290bp) C590W 87 203 + + - - + - - + + Exon 13b (405bp) 2184insA 148 257 + + + + + + + - + R709X 220 185 - + - - - - - - + V754M 453 52 + + + + + + + - - Exon 13c (345bp) V754M 65 280 + + + + + + - - + R785X 158 187 + + - - + + - - + Exon 19 (370bp) 3601-17 (T>C) 29 341 - + + - + + + - + R1162X 61 309 + + - - + - - + + 3659delC 105 265 - - - + + + + + + Y1182X 123 247 - + + - + + + - + Exon 20 (370bp) W1282X 186 184 + + + + + + + + + % detected 90 96 86 66 94 88 74 72 90 remainder were detected using DGGE. Login to comment

[hide] Detection of five novel mutations of the cystic fi... Hum Mutat. 1998;11(2):152-7. Malone G, Haworth A, Schwarz MJ, Cuppens H, Super M
Detection of five novel mutations of the cystic fibrosis transmembrane regulator (CFTR) gene in Pakistani patients with cystic fibrosis: Y569D, Q98X, 296+12(T>C), 1161delC and 621+2(T>C).
Hum Mutat. 1998;11(2):152-7., [PMID:9482579]

Abstract [show]
We analysed DNA samples from 26 Pakistani patients with cystic fibrosis (CF) living in the United Kingdom (14 from patients residing in the north west of England, who were referred directly to the North West Regional Molecular Genetics Laboratory, and 12 from other regional molecular genetics laboratories). Of 56 mutations seen in native U.K. CF patients, only DeltaF508, R709X, and 2184insA were detected in the Pakistani patients. Combined SSCP/Heteroduplex analysis, DGGE, and direct DNA cycle sequencing revealed five novel mutations: Y569D, Q98X, 296+12(T>C), 1161delC, and 621+2(T>C), which appear to be specific to Pakistani CF families. In addition, a novel polymorphism, 297-67(A/C), and three previously described rare mutations, 1525-1(G>A), R560S, and 1898+1(G>T), were detected. In the 14 Pakistani CF patients from the north west of England, DeltaF508 accounted for approximately 32% (9/28 chromosomes) and the overall detection rate of CF mutations in this group was approximately 86% (24/28 chromosomes).

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No. Sentence Comment
1 Of 56 mutations seen in native U.K. CF patients, only DeltaF508, R709X, and 2184insA were detected in the Pakistani patients. Login to comment
77 Patient CR93 was found to be heterozygous for the mutation R709X, which was originally detected in an Italian patient who is not of Pakistani origin (Elena Nicolis, pers. comm., 1996). Login to comment
82 region DeltaF508/DeltaF508 C61 North West DeltaF508/DeltaF508 C83 North West DeltaF508/DeltaF508 C218 North West DeltaF508/DeltaF508 C850 North West DeltaF508/R560S C453 North West DeltaF508/1898+1(G>T) CR726 Oxford Y569D/Y569D C289 North West Y569D/Y569D C707 North West Y569D/Y569D CR460 West Midlands Y569D/Y569D CR770 Glasgow Q98X/Q98X C813 North West Q98X/Q98X CR152 West Midlands Q98X/Q98X CR366 West Midlands 1525-1(G>A)/1525-1 CR97 West Midlands (G>A) 1525-1(G>A)/1525-1 CR780 Glasgow (G>A) 1525-1(G>A)/R709X CR93 West Midlands 296+12(T>C)/296+12 C11 North West (T>C) 296+12(T>C)/296+12 C886 North West (T>C) 1161delC/1161delC C633 North West 1161delC/1161delC CR382 Yorkshire 621+2(T>C)/621+2 C517 North West (T>C) 2184insA/2184insA CR153 West Midlands Unknown (?/?) Login to comment
87 Current Methods of Analysis for CF Mutations Detected in Pakistani CF Patientsa Current Mutation Nucleotide change Exon or Intron Reference analysis methods 296+12(T>C) T>C at 296+12 intron 2 This study RE (Rsa I) Q98X C>T at 424 exon 4 This study SSCP/HD, SEQ 621+2(T>C) T>C at 621+2 intron 4 This study SSCP/HD, SEQ 1161delC deletion C at 1161 exon 7 This study PAGE, SEQ 1525-1(G>A) G>A at 1525-1 intron 9 Dörk et al. (1993) SSCP/HD, SEQ DeltaF508 deletion CTT at 1652 exon 10 Kerem et al. (1989) PAGE, CF(4)m R560S A>C at 1812 exon 12 Costes (p.c., 1993) SSCP/HD, DGGE, SEQ Y569D T>G at 1837 exon 12 This study SSCP/HD, DGGE, SEQ 1898+1(G>T) G>T at 1898+1 intron 12 Crawford et al. (1995) SSCP, SEQ 2184insA insertion A at 2184 exon 13 Dörk et al. (1994) SSCP/HD, SEQ R709X C>T at 2257 exon 13 Bonizzato et al. (1995) SSCP/HD, SEQ a Key: CF(4)m - CF(4)m PCR kit (Johnson and Johnson Ortho Clinical Diagnostics, Amersham, UK) SSCP/HD - Combined Single Stranded Conformational Polymorphism/Heteroduplex analysis; SEQ - direct DNA cycle sequencing; p.c. - pers. comm. consanguinityobservedinthispopulation.PatientsC61, C83, C218 (all homozygous for DeltaF508); CR382 (homozygous for 1161delC); C707 (homozygous for Y569D), C11 (homozygous for 296+12(T>C)) and CR694 (unknown genotype) are known to have consanguineous (first cousin) parents. Login to comment
93 Of the five previously described rare mutations observed in this study, 2184insA and R709X have been detected in Pakistani CF patients as well as those who are native to the United Kingdom (Schwarz et al., 1995). Login to comment

[hide] High heterogeneity for cystic fibrosis in Spanish ... Hum Genet. 1997 Dec;101(3):365-70. Casals T, Ramos MD, Gimenez J, Larriba S, Nunes V, Estivill X
High heterogeneity for cystic fibrosis in Spanish families: 75 mutations account for 90% of chromosomes.
Hum Genet. 1997 Dec;101(3):365-70., [PMID:9439669]

Abstract [show]
We have analyzed 640 Spanish cystic fibrosis (CF) families for mutations in the CFTR gene by direct mutation analysis, microsatellite haplotypes, denaturing gradient gel electrophoresis, single-strand conformation analysis and direct sequencing. Seventy-five mutations account for 90.2% of CF chromosomes. Among these we have detected seven novel CFTR mutations, including four missense (G85V, T582R, R851L and F1074L), two nonsense (E692X and Q1281X) and one splice site mutation (711+3A-->T). Three variants, two in intronic regions (406-112A/T and 3850-129T/C) and one in the coding region (741C/T) were also identified. Mutations G85V, T582R, R851L, E692X and Q1281X are severe, with lung and pancreatic involvement; 711+3A-->T could be responsible for a pancreatic sufficiency/insufficiency variable phenotype; and F1074L was associated with a mild phenotype. These data demonstrate the highest molecular heterogeneity reported so far in CF, indicating that a wide mutation screening is necessary to characterize 90% of the Spanish CF alleles.

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33 Eight mutations have frequencies 366 Table 1 Seventy-five CFTR mutations identified in 640 Spanish families with cystic fibrosis (CF) Mutation Exon/intron CF alleles % ∆F508 E.10 681 53.20 G542X E.11 108 8.43 N1303K E.21 34 2.65 1811+1.6kbA→Ga I.11 24 1.87 711+1G→T I.5 22 1.71 R1162Xa E.19 21 1.64 R334Wa E.7 21 1.64 R1066C E.17b 14 1.09 1609delCAa E.10 13 1.01 Q890X E.15 13 1.01 G85E E.3 12 0.94 712-1G→Ta I.5 11 0.86 2789+5G→A I.14b 11 0.86 ∆I507 E.10 10 0.78 W1282X E.20 10 0.78 2869insGa E.15 9 0.70 L206W E.6a 7 0.54 R709X E.13 7 0.54 621+1G→T I.4 6 0.47 3272-26A→G I.17a 6 0.47 R347H E.7 5 0.39 2183AA→G E.13 5 0.39 K710X E.13 5 0.39 2176insC E.13 5 0.39 3849+10kbC→T I.19 5 0.39 P205Sa E.6a 4 0.31 1078delT E.7 4 0.31 R553X E.11 4 0.31 G551D E.11 4 0.31 1812-1G→Aa I.11 4 0.31 CFdel#1a E.4-7/11-18 4 0.31 V232D E.6a 3 0.23 936delTAa E.6b 3 0.23 1717-8G→A I.10 3 0.23 1949del84 E.13 3 0.23 W1089X E.17b 3 0.23 R347P E.7 3 0.23 del E.3a E.3 2 0.16 R117H E.4 2 0.16 L558S E.11 2 0.16 A561E E.12 2 0.16 2603delT E.13 2 0.16 Y1092X E.17b 2 0.16 Q1100Pa E.17b 2 0.16 M1101K E.17b 2 0.16 delE.19a E.19 2 0.16 G1244E E.20 2 0.16 P5La E.1 1 0.08 Q30Xa E.2 1 0.08 G85Va E.3 1 0.08 E92Ka E.4 1 0.08 A120Ta E.4 1 0.08 I148T E.4 1 0.08 711+3A→Ta I.5 1 0.08 H199Y E.6a 1 0.08 875+1G→A I.6a 1 0.08 Table 1 (continued) Mutation Exon/intron CF alleles % 1717-1G→A I.10 1 0.08 L571S E.12 1 0.08 T582Ra E.12 1 0.08 E585X E.12 1 0.08 1898+3A→G I.12 1 0.08 G673X E.13 1 0.08 E692Xa E.13 1 0.08 R851X E.14a 1 0.08 R851La E.14a 1 0.08 A1006E E.17a 1 0.08 L1065Ra E.17b 1 0.08 F1074La E.17b 1 0.08 R1158X E.19 1 0.08 3667del4a E.19 1 0.08 3860ins31a E.20 1 0.08 3905insT E.20 1 0.08 4005+1G→A I.20 1 0.08 Q1281Xa E.20 1 0.08 Q1313X E.21 1 0.08 Known mutations (75) 1155 90.23 Unknown mutations 125 9.77 a Mutations discovered by the CF group of the Medical and Molecular Genetics Centre - IRO, Barcelona, Spain that range between 0.5% and 0.9%, representing 6.0% of the CF chromosomes. Login to comment

[hide] Mutation characterization of CFTR gene in 206 Nort... Hum Mutat. 1996;8(4):340-7. Hughes DJ, Hill AJ, Macek M Jr, Redmond AO, Nevin NC, Graham CA
Mutation characterization of CFTR gene in 206 Northern Irish CF families: thirty mutations, including two novel, account for approximately 94% of CF chromosomes.
Hum Mutat. 1996;8(4):340-7., [PMID:8956039]

Abstract [show]
A variety of mutation detection techniques, including restriction endonuclease digestion, allele specific oligonucleotides, and automated fluorescent sequencing, were used in the identification of 15 CFTR mutations representing 86.7% of CF chromosomes in 206 Northern Irish cystic fibrosis (CF) families. A systematic analysis of the 27 exons and intron/exon boundaries of the CFTR gene was performed using denaturing gradient gel electrophoresis (DGGE) in an attempt to characterise the 55 unknown CF mutations in 51 patients. Twenty different mutations were detected by DGGE on 30 chromosomes accounting for a further 7.3% of CF alleles. Fifteen of these mutations had not previously been found in Northern Ireland, and two are novel, M1I(G > T) and V562L. In total, 30 CFTR mutations account for 93.9% of the 412 Northern Irish CF chromosomes tested. The three major CF mutations in Northern Ireland are delta F508, G551D, and R117H with respective frequencies of 68.0%, 5.1%, and 4.1%. The efficacy of the DGGE technique was proven by the detection of 77 out of 77 control variants from all the CFTR exons. DGGE is a highly efficient and sensitive method for mutation screening especially in large genes where the mutation spectrum is known to be heterogeneous.

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78 R560T, 1811+1G>C V562L, Y563N, 1898+lG>T 2143delT E827X R709X, K716X R764X E831X, W846X1,2711delT 2789+5G>A Y917C S977P. Login to comment

[hide] Fluorescent multiplex microsatellites used to defi... Hum Mutat. 1996;8(3):229-35. Hughes D, Wallace A, Taylor J, Tassabehji M, McMahon R, Hill A, Nevin N, Graham C
Fluorescent multiplex microsatellites used to define haplotypes associated with 75 CFTR mutations from the UK on 437 CF chromosomes.
Hum Mutat. 1996;8(3):229-35., [PMID:8889582]

Abstract [show]
The cystic fibrosis (CF) transmembrane conductance regulator (CFTR) gene contains three highly informative microsatellites: IVS8CA, IVS17bTA, and IVS17bCA. Their analysis improves prenatal/ carrier diagnosis and generates haplotypes from CF chromosomes that are strongly associated with specific mutations. Microsatellite haplotypes were defined for 75 CFTR mutations carried on 437 CF chromosomes (220 for delta F508, 217 for other mutations) from Northern Ireland and three English regions: the North-West, East Anglia, and the South. Fluorescently labelled microsatellites were amplified in a triplex PCR reaction and typed using an ABI 373A fluorescent fragment analyser. These mutations cover all the common and most of the rare CF defects found in the UK, and their corresponding haplotypes and geographic region are tabulated here. Ancient mutations, delta F508, G542X, N1303K, were associated with several related haplotypes due to slippage during replication, whereas other common mutations were associated with the one respective haplotype (e.g., G551D and R560T with 16-7-17, R117H with 16-30-13, 621 + 1G > T with 21-31-13, 3659delC with 16-35-13). This simple, fast, and automated method for fluorescent typing of these haplotypes will help to direct mutation screening for uncharacterised CF chromosomes.

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61 The two mutations found on haplotypes whose differences could not be explained by slippage of the DNA polymerase at one microsatelliteduring replicationwere R709X and 1717-1G>A. Login to comment
62 The three R709X alleles typed in this study had diverse haplotypes of 1607-17,16-45-13,and 24-22-17.They were alltyped from Manchesterfamilieswith the unique 24-22-17 haplotype being of Asian origin. Login to comment
63 R709X affects a CpGdinucleotideconsideredtobe a mutation hotspot. Login to comment
74 CF 8CA-17bTA-17bCA Mutation chromosomes % Normal Laboratoryb Reference' HaplotVpe 1)15-29-13 557delT Nl Graham et al.. 1992 21 16-07-17 MU (G>T) 3) 16-24-13 4) 16-25-13 5) 16-29-13 6) 16-30-13 7) 16-30-14 8) 16-31-13 9) 16-31-14 10) 16-32-13 12) 16-33-13 13) 16-34-13 14) 16-35-13 11)16-32-17 15)1645-13 16) 1646-13 17) 1646-14 19) 17-07-17 18)16-53-13 20)17-29-14 21) 17-31-13 22) 17-32-13 23) 17-35-13 24) 17-51-11 25) 17-55-13 27) 17-58-13 28) 21-31-13 29) 22-31-13 31)23-22-17 26) 17-56-13 30) 22-33-13 32) 23-29-13 33)23-31-13 34)23-32-13 35)23-33-13 36)23-34-13 37) 23-36-13 38)24-22-17 39) 24-31-13 182delT P67L R75X L206W 1154insTC 146linsAGAT Q493x V520F 1717-1G>A G551D R560T V562L R709X S1196X L1254X R1283M G85E 2184insA 711+lG>T 3495delA 4279insA SlOR L88S R117C R117H G178R 1717-1G>A Y563N W1098R G1123R 3850- 1G>A E6OX %%deIT 1138insG R34P 2183AA>G 2184delA R1158X 1078delT R1162X 3849G>A Q141W R347P Y917C G2iX 711+3A>G 441delA 3130de115 3659delC 1898+1G>A R709X 2711delT R1158X E92K 3849+lOkbC>T 2118delAACT 4048insCC 296+1 2 T S Q22OX R297Q A1507 2789+5G>A 3120+1G>A W128W 1811+lG>C AF508 E831X R116W AF508 W846X1 3120G>A R785X R553X R553X R553X 621+1G>T G542X G542X Y1182X N1303K AF508 G54W 3041delG 1525-1G>A N1303K G542X G542X G542X 394delTT R709X N1303K 1 1 1 2 1 1 4 2 3 4 2 26 8 1 1 1 1 1 8 1 1 1 1 1 1 1 19 1 2 1 1 1 1 7 1 1 2 1 1 2 1 1 1 1 1 1 1 1 2 1 1 7 4 1 2 1 1 2 1 1 4 Asian 1 2 1Asian 5 4 i Afro-Caribbean 5 1 42 (19%) 1 1 57 (26%) 1 2 1 1 1 2 12 2 11.4 0.4 4.9 16.3 1.1 3.8 1.9 10.6 2.3 1.5 2.3 1.5 2.7 4.5 0.4 0.8 0.8 0.4 0.8 0.4 1 2 1 7 1 1 1Asian 1 1.5 0.8 0.8 NI G NI, M M NI NI. Login to comment

[hide] Analysis of the complete coding region of the CFTR... Hum Genet. 1995 Apr;95(4):397-402. Bonizzato A, Bisceglia L, Marigo C, Nicolis E, Bombieri C, Castellani C, Borgo G, Zelante L, Mastella G, Cabrini G, et al.
Analysis of the complete coding region of the CFTR gene in a cohort of CF patients from north-eastern Italy: identification of 90% of the mutations.
Hum Genet. 1995 Apr;95(4):397-402., [PMID:7535742]

Abstract [show]
A complete coding-region analysis on 225 cystic fibrosis (CF) chromosomes from a cohort that includes all the affected subjects born in two North-Eastern Italian regions over eight years was performed. In a previous study, we identified mutations on 166/225 (73.8%) CF chromosomes after screening for 62 mutations. To characterise the remaining 59 CF chromosomes, we carried out automated direct DNA sequencing (exons 9 and 13), RNA single-strand conformation polymorphism (exons 1-8 and 10-12) and denaturing gradient gel electrophoresis (exons 14a-24) of the 27 exons and flanking regions of the CF transmembrane conductance regulator gene. We identified 22 mutations, four of which are novel, viz. 711 + 5G-->A, R709X, 3132delTG and 2790-2A-->G, and we characterised 90.2% (203/225) of the CF chromosomes. Taking advantage of the homogeneity of the sample, an evaluation of the most important clinical parameters, assessed at the age of 12 years, is presented. We confirm some previously reported genotype-phenotype correlations and we report a new nonsense mutation (R709X) associated with a pancreatic sufficient phenotype.

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3 We identified 22 mutations, four of which are novel, viz. 711+5G--~A, R709X, 3132delTG and 2790-2A---~G, and we characterised 90.2% (203/225) of the CF chromosomes. Login to comment
5 We confirm some previously reported genotype-phenotype correlations and we report a new nonsense mutation (R709X) associated with a pancreatic sufficient phenotype. Login to comment
35 Table 1 CF mutations identified in this cohort study (225 chromosomes from Veneto and Trentino Alto-Adige) n Number of CF chromosomes, Cum fi cumulative fraction, wnovel mutation identified during this study " Cystic Fibrosis Genetic Analysis Consortium, personal comunication Table 2 DNA sequence variations identified in this cohort study (w Novel sequence variation identified during this study a Cystic Fibrosis Genetic Analysis Consortium, personal comunication Mutation Exon n % Cure fr References AF508 l0 107 47.56 47.56 Kerem et al. 1989 R1162X 19 22 9.78 57.33 Gasparini et al. 1991 2183AA----~G 13 21 9.33 66.67 Bozon et al. 1994 N1303K 21 9 4.00 70.67 Osborne et al. t991 G542X 11 6 2.67 73.33 Kerem et al. 1990 711+5G--~A intron 5 6 2.67 76.00 w 1717 1G--~A intron 10 5 2.22 78.22 Kerem et al. 1990 G85E 3 3 1.33 79.56 Zielenski et al. 1991~' R553X 11 3 1.33 80.89 Cutting et al. 1990 2789+5G--~A intron 14b 3 1.33 82.22 Highsmith* Q552X 11 3 1.33 83.56 Devoto et al. 1991 621+lG---~T intron 4 2 0.89 84.44 Zielenski et al. 1991b W1282X 20 2 0.89 85.33 Vidaud et al. 1990 3132delTG 17a 2 0.89 86.22 w 2790-2A---~G intron 14b 2 0.89 87.11 w 457TAT--)G 4 1 0.44 87.56 Ravnik-Glavac et al. 1993 R347P 7 1 0.44 88.00 Dean et al. 1990 G551D 11 .1 0.44 88.44 Cutting et al. 1990 1717-8G-+A intron 10 1 0.44 88.89 Savov et al. 1994 3849+ 10KbC--)T intron 19 1 0.44 89.33 Highsmith* R709X 13 1 0.44 89.78 w 1898+3A---~G intron 12 1 0.44 90.22 Cremonesi et al. 1992 Identified 203 90.22 Unidentified 22 9.78 Variatioh Exon References 1540 A orG Met or Val at 470 10 Kerem et al. 1990 1898+152 T or A intron 12 Chillon et al. 1991 2134 C or T Arg or Cys at 668 13 Fanen et al. 1992 2694 T or G No change Thr at 854 14a Zielenski et al. 199 lb 2752-22 A or G intron 14a w 3601-65 C or A intron 18 Dork et al. 199l 4029 A or G No change Thr at 1299 21 Fanen et al. 1992 4404 C or T No change Tyr at 1424 24 ShoshanP 711 +5G--+A This mutation was found in the splice donor site flanking the 3' end of exon 5. Login to comment
43 Fig. 1 DNA sequence analyses of detected CF mutations, R709X (A) and 3132delTG (B). Login to comment
45 In both cases, sequences of double-stranded PCR products were obtained with reverse primers Novel mutations identified during this study R709X In a 20-year-old pancreas sufficient (PS) patient, the nucleotide at position 2257 (exon 13) was changed from C to T (Fig. 1A), resulting in the replacement of Arg 709 by Stop in the R domain of the CFTR. Login to comment
51 Genotypes were identified in six of them and were AF508/1898+3AG, R 1162X/ R347E AF508/2789 + 5G-~A, AFS08/R709X, 1717-1G--~ A/3849 + 10KbC-~T and R553X/2789 + 5G-~A. Login to comment
94 One additional mild mutation, R709X, is reported for the first time in this paper. Login to comment
95 We were surprised to find that a nonsense mutation such as R709X, which presumably codes for a protein truncated at the R domain, is associated with a PS phenotype. Login to comment

[hide] Increased incidence of cystic fibrosis gene mutati... Hum Mol Genet. 1995 Apr;4(4):635-9. Pignatti PF, Bombieri C, Marigo C, Benetazzo M, Luisetti M
Increased incidence of cystic fibrosis gene mutations in adults with disseminated bronchiectasis.
Hum Mol Genet. 1995 Apr;4(4):635-9., [PMID:7543317]

Abstract [show]
In order to identify a possible hereditary predisposition to the development of obstructive pulmonary disease of unknown origin, we have looked for the presence of Cystic Fibrosis Transmembrane Regulator (CFTR) gene mutations in unrelated patients with no signs of Cystic Fibrosis (CF). We screened for 70 common mutations, and also for rare mutations by denaturing gradient gel electrophoresis analysis. In this search, different CFTR gene mutations (R75Q, delta F508, R1066C, M1137V and 3667ins4) were found in five out of 16 adult Italian patients with disseminated bronchiectasis, a significant increase over the expected frequency of carriers. Moreover, three rare CFTR gene DNA polymorphisms (G576A, R668C, and 2736 A-->G), not deemed to be the cause of CF, were found in two patients, one of which was a compound heterozygote with R1066C. These results indicate that CFTR gene mutations, and perhaps also DNA polymorphisms, may be involved in the etiopathogenesis of at least some cases of bronchiectasis.

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31 List of CFTR gene mutations and DNA polymorphisms screened Mutations R75Q/X/L, G85E, 394deITT 457TAT->G, R117H 621 + 1G->T 711 + 5G->A L206W 875 + 40 A->G 936 del TA 1001 + 11C->T R334W, R347 P/H/L, 1154insTC A455E, V456F DF5O8 1717-IG->A, 1717-8G->A G542X, G551D, Q552X, R553X P574H 1898 + 3A->G 2183 AA->G, 2184delA, R709X D836Y, 2694 T/G 2752-22 A/G 2789 + 5 G->A, 2790-2 A-»G Q890X 3041-71 G/C 3132delTG 3271 + 18 C-»T, 3272-26 A->G H1054D, G1061R, R1066C/H, A1067T, H1085R, Y1092X, 3320 ins5 D1152H R1162X, 3667ins4, 3737delA, 11234V 3849 + 10 kb C-»T, 3850-1 G-»A SI25IN, S1255P, 3905insT, 3898insC, D127ON, W1282X, R1283M, 4002 A/G 4005 + 1 G-»A N1303 K/H, 4029 A/G D1377H Q1411 X 4404 C/T, 4521 G/A Location e 3 e 4 i 4 i 5 e 6a i 6a e 6b i 6b e 7 e 9 e 10 i 10 e 11 e 12 i 12 e 13 e 14a i 14a i 14b e 15 i 15 e 17a i 17a e 17b e 18 e 19 i 19 e 20 i 20 e2l e 22 e 23 e24 Listing is in order of location along the CFTR gene, e = exon; i = intron. Login to comment

[hide] Impact of heterozygote CFTR mutations in COPD pati... Respir Res. 2014 Feb 11;15:18. doi: 10.1186/1465-9921-15-18. Raju SV, Tate JH, Peacock SK, Fang P, Oster RA, Dransfield MT, Rowe SM
Impact of heterozygote CFTR mutations in COPD patients with chronic bronchitis.
Respir Res. 2014 Feb 11;15:18. doi: 10.1186/1465-9921-15-18., [PMID:24517344]

Abstract [show]
BACKGROUND: Cigarette smoking causes Chronic Obstructive Pulmonary Disease (COPD), the 3rd leading cause of death in the U.S. CFTR ion transport dysfunction has been implicated in COPD pathogenesis, and is associated with chronic bronchitis. However, susceptibility to smoke induced lung injury is variable and the underlying genetic contributors remain unclear. We hypothesized that presence of CFTR mutation heterozygosity may alter susceptibility to cigarette smoke induced CFTR dysfunction. Consequently, COPD patients with chronic bronchitis may have a higher rate of CFTR mutations compared to the general population. METHODS: Primary human bronchial epithelial cells derived from F508del CFTR heterozygotes and mice with (CFTR+/-) and without (CFTR+/+) CFTR heterozygosity were exposed to whole cigarette smoke (WCS); CFTR-dependent ion transport was assessed by Ussing chamber electrophysiology and nasal potential difference measurements, respectively. Caucasians with COPD and chronic bronchitis, age 40 to 80 with FEV1/FVC < 0.70 and FEV1 < 60% predicted, were selected for genetic analysis from participants in the NIH COPD Clinical Research Network's Azithromycin for Prevention of Exacerbations of COPD in comparison to 32,900 Caucasian women who underwent prenatal genetic testing. Genetic analysis involved an allele-specific genotyping of 89 CFTR mutations. RESULTS: Exposure to WCS caused a pronounced reduction in CFTR activity in both CFTR (+/+) cells and F508del CFTR (+/-) cells; however, neither the degree of decrement (44.7% wild-type vs. 53.5% F508del heterozygous, P = NS) nor the residual CFTR activity were altered by CFTR heterozygosity. Similarly, WCS caused a marked reduction in CFTR activity measured by NPD in both wild type and CFTR heterozygous mice, but the severity of decrement (91.1% wild type vs. 47.7% CF heterozygous, P = NS) and the residual activity were not significantly affected by CFTR genetic status. Five of 127 (3.9%) COPD patients with chronic bronchitis were heterozygous for CFTR mutations which was not significantly different from controls (4.5%) (P = NS). CONCLUSIONS: The magnitude of WCS induced reductions in CFTR activity was not affected by the presence of CFTR mutation heterozygosity. CFTR mutations do not increase the risk of COPD with chronic bronchitis. CFTR dysfunction due to smoking is primarily an acquired phenomenon and is not affected by the presence of congenital CFTR mutations.

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81 As expected based on genotype-phenotype correlations in the disease [33], HBE cells derived from a F508del CFTR heterozygote had slightly lower CFTR activity at baseline than wild type monolayers as measured by Table 1 List of CFTR mutations analyzed F508del R117H 1717-1G > A R117C G85E R334W 1898 + 1G > A Y122X A455E R347P 2184delA G178R I507del R553X 2789 + 5G > A G314E G542X R560T 3120 + 1G > A G330X G551D W1282X 3659delC R347H N1303K 621 + 1G > T K710X 406-1G > A R1162X 711 + 1G > T E60X G480C R1066C W1089X V520F A559T S1196X Q1238X S1251N S1255X 663delT 935delA 1161delC 1288insTA 2184insA 2307insA 2711delT 2869insG R709X R764X R1158X 574delA Q493X 1898 + 5G > T 3905insT I506T 3849 + 10kbC > T 712-1G > T Q98R Q552X S549N 1078delT H199Y 444delA S549R (T > G) 2143delT P205S 2043delG 1811 + 1.6kbA > G 3272-26A > G L206W 3791delC Y1092X (C > G) 3199del6 F508C 2108delA Y1092X (C > A) D1152H V520I 3667del4 394delTT 3876delA M1101K 1677delTA W1098X (TGA) 1812-1G > A 4016insT 1609delCA 3171delC response to forskolin stimulation (49.3 &#b1; 11.5 bc;A/cm2 in CFTR (+/+) vs. 40.5 &#b1; 5.3 bc;A/cm2 in CFTR (+/-), although this was not statistically significant (Figure 1A,B). Login to comment

[hide] Improving newborn screening for cystic fibrosis us... Genet Med. 2015 Feb 12. doi: 10.1038/gim.2014.209. Baker MW, Atkins AE, Cordovado SK, Hendrix M, Earley MC, Farrell PM
Improving newborn screening for cystic fibrosis using next-generation sequencing technology: a technical feasibility study.
Genet Med. 2015 Feb 12. doi: 10.1038/gim.2014.209., [PMID:25674778]

Abstract [show]
Purpose:Many regions have implemented newborn screening (NBS) for cystic fibrosis (CF) using a limited panel of cystic fibrosis transmembrane regulator (CFTR) mutations after immunoreactive trypsinogen (IRT) analysis. We sought to assess the feasibility of further improving the screening using next-generation sequencing (NGS) technology.Methods:An NGS assay was used to detect 162 CFTR mutations/variants characterized by the CFTR2 project. We used 67 dried blood spots (DBSs) containing 48 distinct CFTR mutations to validate the assay. NGS assay was retrospectively performed on 165 CF screen-positive samples with one CFTR mutation.Results:The NGS assay was successfully performed using DNA isolated from DBSs, and it correctly detected all CFTR mutations in the validation. Among 165 screen-positive infants with one CFTR mutation, no additional disease-causing mutation was identified in 151 samples consistent with normal sweat tests. Five infants had a CF-causing mutation that was not included in this panel, and nine with two CF-causing mutations were identified.Conclusion:The NGS assay was 100% concordant with traditional methods. Retrospective analysis results indicate an IRT/NGS screening algorithm would enable high sensitivity, better specificity and positive predictive value (PPV). This study lays the foundation for prospective studies and for introducing NGS in NBS laboratories.Genet Med advance online publication 12 February 2015Genetics in Medicine (2015); doi:10.1038/gim.2014.209.

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15 Correspondence: Mei W. Baker (mwbaker@wisc.edu) Improving newborn screening for cystic fibrosis using next-generation sequencing technology: a technical feasibility study Mei W. Baker, MD1,2 , Anne E. Atkins, MPH2 , Suzanne K. Cordovado, PhD3 , Miyono Hendrix, MS3 , Marie C. Earley, PhD3 and Philip M. Farrell, MD, PhD1,4 Table 1ߒ CF-causing or varying consequences mutations in the MiSeqDx IUO Cystic Fibrosis System c.1521_1523delCTT (F508del) c.2875delG (3007delG) c.54-5940_273ߙ+ߙ10250del21kb (CFTRdele2,3) c.3909C>G (N1303K) c.3752G>A (S1251N) Mutations that cause CF when combined with another CF-causing mutation c.1624G>T (G542X) c.2988ߙ+ߙ1G>A (3120ߙ+ߙ1G->A) c.3964-78_4242ߙ+ߙ577del (CFTRdele22,23) c.613C>T (P205S) c.1021T>C (S341P) c.948delT (1078delT) c.2988G>A (3120G->A) c.328G>C (D110H) c.200C>T (P67L) c.1397C>A (S466X(C>A)) c.1022_1023insTC (1154insTC) c.2989-1G>A (3121-1G->A) c.3310G>T (E1104X) c.3937C>T (Q1313X) c.1397C>G (S466X(C>G)) c.1081delT (1213delT) c.3140-26A>G (3272-26A->G) c.1753G>T (E585X) c.658C>T (Q220X) c.1466C>A (S489X) c.1116ߙ+ߙ1G>A (1248ߙ+ߙ1G->A) c.3528delC (3659delC) c.178G>T (E60X) c.115C>T (Q39X) c.1475C>T (S492F) c.1127_1128insA (1259insA) c.3659delC (3791delC) c.2464G>T (E822X) c.1477C>T (Q493X) c.1646G>A (S549N) c.1209ߙ+ߙ1G>A (1341ߙ+ߙ1G->A) c.3717ߙ+ߙ12191C>T (3849ߙ+ߙ10kbC->T) c.2491G>T (E831X) c.1573C>T (Q525X) c.1645A>C (S549R) c.1329_1330insAGAT (1461ins4) c.3744delA (3876delA) c.274G>A (E92K) c.1654C>T (Q552X) c.1647T>G (S549R) c.1393-1G>A (1525-1G->A) c.3773_3774insT (3905insT) c.274G>T (E92X) c.2668C>T (Q890X) c.2834C>T (S945L) c.1418delG (1548delG) c.262_263delTT (394delTT) c.3731G>A (G1244E) c.292C>T (Q98X) c.1013C>T (T338I) c.1545_1546delTA (1677delTA) c.3873ߙ+ߙ1G>A (4005ߙ+ߙ1G->A) c.532G>A (G178R) c.3196C>T (R1066C) c.1558G>T (V520F) c.1585-1G>A (1717-1G->A) c.3884_3885insT (4016insT) c.988G>T (G330X) c.3197G>A (R1066H) c.3266G>A (W1089X) c.1585-8G>A (1717-8G->A) c.273ߙ+ߙ1G>A (405ߙ+ߙ1G->A) c.1652G>A (G551D) c.3472C>T (R1158X) c.3611G>A (W1204X) c.1679ߙ+ߙ1.6kbA>G (1811ߙ+ߙ1.6kbA->G) c.274-1G>A (406-1G->A) c.254G>A (G85E) c.3484C>T (R1162X) c.3612G>A (W1204X) c.1680-1G>A (1812-1G->A) c.4077_4080delTGTTinsAA (4209TGTT->AA) c.2908G>C (G970R) c.349C>T (R117C) c.3846G>A (W1282X) c.1766ߙ+ߙ1G>A (1898ߙ+ߙ1G->A) c.4251delA (4382delA) c.595C>T (H199Y) c.1000C>T (R334W) c.1202G>A (W401X) c.1766ߙ+ߙ3A>G (1898ߙ+ߙ 3A->G) c.325_327delTATinsG (457TAT->G) c.1007T>A (I336K) c.1040G>A (R347H) c.1203G>A (W401X) c.2012delT (2143delT) c.442delA (574delA) c.1519_1521delATC (I507del) c.1040G>C (R347P) c.2537G>A (W846X) c.2051_2052delAAinsG (2183AA->G) c.489ߙ+ߙ1G>T (621ߙ+ߙ 1G->T) c.2128A>T (K710X) c.1055G>A (R352Q) c.3276C>A (Y1092X (C>A)) c.2052delA (2184delA) c.531delT (663delT) c.3194T>C (L1065P) c.1657C>T (R553X) c.3276C>G (Y1092X (C>G)) c.2052_2053insA (2184insA) c.579ߙ+ߙ1G>T (711ߙ+ߙ 1G->T) c.3230T>C (L1077P) c.1679G>A (R560K) c.366T>A (Y122X) c.2175_2176insA (2307insA) c.579ߙ+ߙ3A>G (711ߙ+ߙ 3A->G) c.617T>G (L206W) c.1679G>C (R560T) - c.2215delG (2347delG) c.579ߙ+ߙ5G>A (711ߙ+ߙ 5G->A) c.1400T>C (L467P) c.2125C>T (R709X) - c.2453delT (2585delT) c.580-1G>T (712-1G->T) c.2195T>G (L732X) c.223C>T (R75X) - c.2490ߙ+ߙ1G>A (2622ߙ+ߙ1G->A) c.720_741delAGGGAG AATGATGATGAAGTAC (852del22) c.2780T>C (L927P) c.2290C>T (R764X) - c.2583delT (2711delT) c.1364C>A (A455E) c.3302T>A (M1101K) c.2551C>T (R851X) - c.2657ߙ+ߙ5G>A (2789ߙ+ߙ5G->A) c.1675G>A (A559T) c.1A>G (M1V) c.3587C>G (S1196X) - Mutations/variants that were validated in this study are in bold. CF, cystic fibrosis. Table 1ߒ Continued on next page reduce carrier detection and potentially improve the positive predictive value (PPV), the NBS goals of equity and the highest possible sensitivity become more difficult to achieve. Login to comment

[hide] A Genotypic-Oriented View of CFTR Genetics Highlig... Mol Med. 2015 Apr 21;21:257-75. doi: 10.2119/molmed.2014.00229. Lucarelli M, Bruno SM, Pierandrei S, Ferraguti G, Stamato A, Narzi F, Amato A, Cimino G, Bertasi S, Quattrucci S, Strom R
A Genotypic-Oriented View of CFTR Genetics Highlights Specific Mutational Patterns Underlying Clinical Macrocategories of Cystic Fibrosis.
Mol Med. 2015 Apr 21;21:257-75. doi: 10.2119/molmed.2014.00229., [PMID:25910067]

Abstract [show]
Cystic fibrosis (CF) is a monogenic disease caused by mutations of the cystic fibrosis transmembrane conductance regulator (CFTR) gene. The genotype-phenotype relationship in this disease is still unclear, and diagnostic, prognostic and therapeutic challenges persist. We enrolled 610 patients with different forms of CF and studied them from a clinical, biochemical, microbiological and genetic point of view. Overall, there were 125 different mutated alleles (11 with novel mutations and 10 with complex mutations) and 225 genotypes. A strong correlation between mutational patterns at the genotypic level and phenotypic macrocategories emerged. This specificity appears to largely depend on rare and individual mutations, as well as on the varying prevalence of common alleles in different clinical macrocategories. However, 19 genotypes appeared to underlie different clinical forms of the disease. The dissection of the pathway from the CFTR mutated genotype to the clinical phenotype allowed to identify at least two components of the variability usually found in the genotype-phenotype relationship. One component seems to depend on the genetic variation of CFTR, the other component on the cumulative effect of variations in other genes and cellular pathways independent from CFTR. The experimental dissection of the overall biological CFTR pathway appears to be a powerful approach for a better comprehension of the genotype-phenotype relationship. However, a change from an allele-oriented to a genotypic-oriented view of CFTR genetics is mandatory, as well as a better assessment of sources of variability within the CFTR pathway.

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385 [Gly576Ala;Arg668Cys] D579G c.1736A>G CF-PS varying clinical consequence p.Asp579Gly E585X c.1753G>T CF-PI CF-causing p.Glu585* H609L c.1826A>T CFTR-RD nd p.His609Leu A613T c.1837G>A CF-PS nd p.Ala613Thr D614G c.1841A>G CF-PS unknown significance p.Asp614Gly 2143delT c.2012delT CF-PS CF-causing p.Leu671* 2183AA>G c.2051_2052delAAinsG CF-PI,CF-PS CF-causing p.Lys684SerfsX38 2184insA c.2052_2053insA CF-PI CF-causing p.Gln685ThrfsX4 R709X c.2125C>T CF-PI CF-causing p.Arg709* L732X c.2195T>G CF-PI CF-causing p.Leu732* R764X c.2290C>T CF-PI CF-causing p.Arg764* Q779X c.2335C>T uncertain: CF-PI and/or CF-PS nd p.Gln779* E831X c.2491G>T CF-PS CF-causing p.Glu831* Y849X c.2547C>A CF-PI CF-causing p.Tyr849* ex14b-17bdel c.2620-674_3367+198del9858 CF-PI nd 2789+5G>A c.2657+5G>A CF-PI,CF-PS CF-causing 2790-2A>G c.2658-2A>G CF-PS nd S912L c.2735C>T uncertain: found only with an unknown allele in trans nd p.Ser912Leu S945L c.2834C>T CF-PS CF-causing p.Ser945Leu S977F c.2930C>T CFTR-RD varying clinical consequence p.Ser977Phe L997F c.2991G>C CF-PS,CFTR-RD,CBAVD non CF-causing p.Leu997Phe ex17a-18del c.2988+1173_3468+2111del8600 CF-PI nd P1013L c.3038C>T CFTR-RD nd p.Pro1013Leu Y1032C c.3095A>G CFTR-RD nd p.Tyr1032Cys 3272-26A>G c.3140-26A>G CF-PS CF-causing L1065P c.3194T>C CF-PI,CF-PS CF-causing p.Leu1065Pro L1065R c.3194T>G uncertain: CF-PI and/or CF-PS nd p.Leu1065Arg R1066C c.3196C>T CF-PI CF-causing p.Arg1066Cys R1066H c.3197G>A CF-PI CF-causing p.Arg1066His G1069R c.3205G>A uncertain: found only with an unknown allele in trans varying clinical consequence p.Gly1069Arg Continued on next page of 0.021). Login to comment

[hide] The improvement of the best practice guidelines fo... Eur J Hum Genet. 2015 May 27. doi: 10.1038/ejhg.2015.99. Girardet A, Viart V, Plaza S, Daina G, De Rycke M, Des Georges M, Fiorentino F, Harton G, Ishmukhametova A, Navarro J, Raynal C, Renwick P, Saguet F, Schwarz M, SenGupta S, Tzetis M, Roux AF, Claustres M
The improvement of the best practice guidelines for preimplantation genetic diagnosis of cystic fibrosis: toward an international consensus.
Eur J Hum Genet. 2015 May 27. doi: 10.1038/ejhg.2015.99., [PMID:26014425]

Abstract [show]
Cystic fibrosis (CF) is one of the most common indications for preimplantation genetic diagnosis (PGD) for single gene disorders, giving couples the opportunity to conceive unaffected children without having to consider termination of pregnancy. However, there are no available standardized protocols, so that each center has to develop its own diagnostic strategies and procedures. Furthermore, reproductive decisions are complicated by the diversity of disease-causing variants in the CFTR (cystic fibrosis transmembrane conductance regulator) gene and the complexity of correlations between genotypes and associated phenotypes, so that attitudes and practices toward the risks for future offspring can vary greatly between countries. On behalf of the EuroGentest Network, eighteen experts in PGD and/or molecular diagnosis of CF from seven countries attended a workshop held in Montpellier, France, on 14 December 2011. Building on the best practice guidelines for amplification-based PGD established by ESHRE (European Society of Human Reproduction and Embryology), the goal of this meeting was to formulate specific guidelines for CF-PGD in order to contribute to a better harmonization of practices across Europe. Different topics were covered including variant nomenclature, inclusion criteria, genetic counseling, PGD strategy and reporting of results. The recommendations are summarized here, and updated information on the clinical significance of CFTR variants and associated phenotypes is presented.European Journal of Human Genetics advance online publication, 27 May 2015; doi:10.1038/ejhg.2015.99.

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79 (unknown) Q39X c.115C4T p.Gln39* P67L c.200C4T p.Pro67Leu R75X c.223C4T p.Arg75* 405+1G4A c.273+1G4A 406-1G4A c.274-1G4A E92X c.274G4T p.Glu92* E92K c.274G4A p.Glu92Lys Q98X c.292C4T p.Gln98* 457TAT4G c.325_327delTATinsG p.Tyr109Glyfs*4 D110H c.328G4C p.Asp110His R117C c.349C4T p.Arg117Cys Y122X c.366 T4A p.Tyr122* 574delA c.442delA p.Ile148Leufs*5 444delA c.313delA p.Ile105Serfs*2 663delT c.531delT p.Ile177Metfs*12 G178R c.532G4A p.Gly178Arg 711+3 A4G c.579+3 A4G 711+5G4A c.579+5G4A 712-1G4T c.580-1G4T H199Y c.595C4T p.His199Tyr P205S c.613C4T p.Pro205Ser L206W c.617 T4G p.Leu206Trp Q220X c.658C4T p.Gln220* 852del22 c.720_741delAGGGAGAAT GATGATGAAGTAC p.Gly241Glufs*13 1078delT c.948delT p.Phe316Leufs*12 G330X c.988G4T p.Gly330* Table 1 (Continued ) HGVS nomenclature Legacy name cDNA nucleotide name Protein name R334W c.1000C4T p.Arg334Trp I336K c.1007 T4A p.Ile336Lys T338I c.1013C4T p.Thr338Ile 1154insTC c.1021_1022dupTC p.Phe342Hisfs*28 S341P c.1021 T4C p.Ser341Pro R347H c.1040G4A p.Arg347His 1213delT c.1081delT p.Trp361Glyfs*8 1248+1G4A c.1116+1G4A 1259insA c.1130dupA p.Gln378Alafs*4 W401X(TAG) c.1202G4A p.Trp401* W401X(TGA) c.1203G4A p.Trp401* 1341+1G4A c.1209+1G4A 1461ins4 c.1329_1330insAGAT p.Ile444Argfs*3 1525-1G4A c.1393-1G4A S466X c.1397C4A or c.1397C4G p.Ser466* L467P c.1400 T4C p.Leu467Pro S489X c.1466C4A p.Ser489* S492F c.1475C4T p.Ser492Phe 1677delTA c.1545_1546delTA p.Tyr515* V520F c.1558G4T p.Val520Phe 1717-1G4A c.1585-1G4A 1717-8G4A c.1585-8G4A S549R c.1645 A4C p.Ser549Arg S549N c.1646G4A p.Ser549Asn S549R c.1647 T4G p.Ser549Arg Q552X c.1654C4T p.Gln552* A559T c.1675G4A p.Ala559Thr 1811+1.6kbA4G c.1680-886 A4G 1812-1G4A c.1680-1G4A R560K c.1679G4A p.Arg560Lys E585X c.1753G4T p.Glu585* 1898+3 A4G c.1766+3 A4G 2143delT c.2012delT p.Leu671* 2184insA c.2052_2053insA p.Gln685Thrfs*4 2184delA c.2052delA p.Lys684Asnfs*38 R709X c.2125C4T p.Arg709* K710X c.2128 A4T p.Lys710* 2307insA c.2175dupA p.Glu726Argfs*4 L732X c.2195 T4G p.Leu732* 2347delG c.2215delG p.Val739Tyrfs*16 R764X c.2290C4T p.Arg764* 2585delT c.2453delT p.Leu818Trpfs*3 E822X c.2464G4T p.Glu822* 2622+1G4A c.2490+1G4A E831X c.2491G4T p.Glu831* W846X c.2537G4A p.Trp846* W846X (2670TGG4TGA) c.2538G4A p.Trp846* R851X c.2551C4T p.Arg851* 2711delT c.2583delT p.Phe861Leufs*3 S945L c.2834C4T p.Ser945Leu 2789+2insA c.2657+2_2657+3insA Q890X c.2668C4T p.Gln890* L927P c.2780 T4C p.Leu927Pro 3007delG c.2875delG p.Ala959Hisfs*9 G970R c.2908G4C p.Gly970Arg 3120G4A c.2988G4A function variants that cause CF disease when paired together; (ii) variants that retain residual CFTR function and are compatible with milder phenotypes such as CFTR-RD; (iii) variants with no clinical consequences; and (iv) variants of unproven or uncertain clinical relevance. Login to comment