ABCMdb

ABCC7 p.Ile506Thr

ClinVar:	c.1518C>G , p.Ile506Met ? , not provided c.1517T>C , p.Ile506Thr ? , not provided c.1516A>C , p.Ile506Leu ? , not provided c.1516A>G , p.Ile506Val N , Benign c.1517T>G , p.Ile506Ser ? , not provided
CF databases:	c.1516A>C , p.Ile506Leu (CFTR1) D , The mutation was found in one Swedish CF patient by multiplex heteroduplex analysis on an MDE gel. The patient carried [delta]F508 on the other allele; the patient had sweat chloride of 103 meq/l, pancreatic sufficient, and mild lung disease. c.1517T>C , p.Ile506Thr (CFTR1) ? , The whole coding and flanking sequence has been screened by DGGE, and no other alteration could be found except known polymorphisms. This second mutation at codon 506 ( the first, 1506S, was described by Deufel) was thoroughly checked by two different sequences from different PCR products. c.1517T>G , p.Ile506Ser (CFTR1) ? , Allele specific amplification and PAA electrophoresis of exon 10 fragments had given discrepant results. By direct sequencing, we found a T to G transversion at nucleotide position 1649, exchanging a isoleucine for a serine (I506S). The second mutation is [delta]F508. The heteroduplex I506S/[delta]F508 can be distinguished from wt/[delta]F508 duplices, allowing for rapid screening of the mutation.
Predicted by SNAP2:	A: D (95%), C: D (95%), D: D (95%), E: D (95%), F: D (95%), G: D (95%), H: D (95%), K: D (95%), L: D (85%), M: D (66%), N: D (95%), P: D (95%), Q: D (95%), R: D (95%), S: D (95%), T: D (95%), V: N (87%), W: D (95%), Y: D (95%),
Predicted by PROVEAN:	A: D, C: D, D: D, E: D, F: D, G: D, H: D, K: D, L: N, M: D, N: D, P: D, Q: D, R: D, S: D, T: D, V: N, W: D, Y: D,

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[hide] Spectrum of CFTR mutations in Mexican cystic fibro... Hum Genet. 2000 Mar;106(3):360-5. Orozco L, Velazquez R, Zielenski J, Tsui LC, Chavez M, Lezana JL, Saldana Y, Hernandez E, Carnevale A
Spectrum of CFTR mutations in Mexican cystic fibrosis patients: identification of five novel mutations (W1098C, 846delT, P750L, 4160insGGGG and 297-1G-->A).
Hum Genet. 2000 Mar;106(3):360-5., [PMID:10798368]

Abstract [show]
We have analyzed 97 CF unrelated Mexican families for mutations in the cystic fibrosis transmembrane conductance regulator (CFTR) gene. Our initial screening for 12 selected CFTR mutations led to mutation detection in 56.66% of the tested chromosomes. In patients with at least one unknown mutation after preliminary screening, an extensive analysis of the CFTR gene by single stranded conformation polymorphism (SSCP) or by multiplex heteroduplex (mHET) analysis was performed. A total of 34 different mutations representing 74.58% of the CF chromosomes were identified, including five novel CFTR mutations: W1098C, P750L, 846delT, 4160insGGGG and 297-1G-->A. The level of detection of the CF mutations in Mexico is still lower than that observed in other populations with a relatively low frequency of the deltaF508 mutation, mainly from southern Europe. The CFTR gene analysis described here clearly demonstrated the high heterogeneity of our CF population, which could be explained by the complex ethnic composition of the Mexican population, in particular by the strong impact of the genetic pool from southern European countries.

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69 First, we tested these patients for 12 mutations selected for the following reasons: five are the most common mutations worldwide (∆F508, G542X, N1303K, G551D and R553X; CFGAC 1994); 362 Table 1 Frequency of the CFTR gene mutations in 97 (194 chromosomes) Mexican patients Mutation Number of Frequency affected alleles (%) ∆F508 79 40.72 G542X 12 6.18 ∆I507 5 2.57 S549N 5 2.57 N1303K 4 2.06 R75X 3 1.54 406-1G→A 3 1.54 I148T 3 1.54 2055del9→A 2 1.03 935delA 2 1.03 I506T 2 1.03 3199del6 2 1.03 2183AA→G 2 1.03 G551D 1 0.51 R553X 1 0.51 1924del7 1 0.51 G551S 1 0.51 1078delT 1 0.51 Y1092X 1 0.51 R117H 1 0.51 G85E 1 0.51 3849+10KbC→T 1 0.51 1716G→A 1 0.51 W1204X 1 0.51 W1098Ca 1 0.51 846delTa 1 0.51 P750La 1 0.51 V754M 1 0.51 R75Q 1 0.51 W1069X 1 0.51 L558S 1 0.51 4160insGGGGa 1 0.51 297-1G→Aa 1 0.51 H199Y 1 0.51 2869insG 0 0 R1162X 0 0 3120+1G→A 0 0 Total 34 145 74.58% aNovel mutations detected in this study Fig.1 Sequencing ladders showing the CFTR novel mutations. Login to comment

[hide] XV-2c/KM-19 haplotype analysis of cystic fibrosis ... Am J Med Genet. 2001 Aug 15;102(3):277-81. Orozco L, Gonzalez L, Chavez M, Velazquez R, Lezana JL, Saldana Y, Villarreal T, Carnevale A
XV-2c/KM-19 haplotype analysis of cystic fibrosis mutations in Mexican patients.
Am J Med Genet. 2001 Aug 15;102(3):277-81., 2001-08-15 [PMID:11484207]

Abstract [show]
We analyzed 97 unrelated Mexican cystic fibrosis (CF) patients and their first-degree relatives to study the association of XV2C/TaqI/KM19/PstI haplotypes with CF mutations in this population. Haplotype phases could be established in 148 CF and 110 normal chromosomes, and haplotype distributions of normal and CF chromosomes differed significantly (P < 0.001). DeltaF508 and G542X mutations accounted for 56% of CF chromosomes and were found to be associated with haplotype B in 97.2% and 72.7% of chromosomes, respectively. The haplotype distribution of CF chromosomes carrying other rare and unknown mutations was similar to that of normal chromosomes (P > 0.05), haplotypes A and C being the most frequent. This is in accordance with the extensive heterogeneity and the spectrum of mutations reported in Mexican CF patients. We also report the haplotype distribution of all informative chromosomes bearing rare mutations; some were found to be associated with previously reported haplotypes, whereas others were found on different haplotypes. Recombination or recurrence of mutations may explain these different associations, although other intragenic markers must be used to better understand the origin and dispersion of CF mutations in our country. XK haplotype analysis allowed carrier detection among sibs in 24.3% of families, showing that this method may be useful for carrier detection in populations with high allelic heterogeneity.

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65 Distribution of XK Haplotype on Chromosomes Bearing Uncommon Cystic Fibrosis (CF) Mutations A B C D S549N 4/4 DI507 3/3 N1303K 3/3 2055 del9!A 2/2 I148T 1/1 406-1G!A 1/1 R75X 1/1 I506T 1/1 935delA 1/1 2183AA!G 1/1 1924del7 1/1 G551S 1/1 1078delT 1/1 R117H 1/1 384910KbC!T 1/1 1716G!A 1/1 W1204X 1/1 W1098C 1/1 846delT 1/1 R75Q 1/1 W1069X 1/1 L558S 1/1 4160insGGGG 1/1 297-1G!A 1/1 Fig. 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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113 Mexico ∆F508 (41.6%) G551S (0.5%) 75.5 57.0 35 374/194 Orozco et al.[1993]; Villalobos- G542X (5.6%) 1078delT (0.5%) Torres et al. [1997]; Liang et al. ∆I507 (2.5%) Y1092X (0.5%) [1998]; Orozco et al. [2000] S549N (1.9%) R117H (0.5%) N1303K (1.7%) G85E (0.5%) R75X (1.5%) 1716G→A (0.5%) 406-1G→A (1.5%) W1204X (0.5%) I148T (1.5%) W1098C (0.5%) 3849+10KbC→T (1.5%) 846delT (0.5%) 621+1G→T (1.2%) P750L (0.5%) 2055del9→A (1.0%) V754M (0.5%) 935delA (1.0%) R75Q (0.5%) I506T (1.0) W1096X (0.5%) 3199del6 (1.0%) L558S (0.5%) 2183AA→G (1.0%) 4160insGGGG (0.5%) G551D (0.5%) 297-1G→A (0.5%) R553X (0.5%) H199Y (0.5%) 1924del7 (0.5%) United States ∆F508 (68.6%) R553X (0.9%) 79.7 63.5 10 25048 Cystic Fibrosis Foundation (total) G542X (2.4%) 621+1G→T (0.9%) [1998] G551D (2.1%) 1717-1G→A (0.7%) W1282X (1.4%) 3849+10KbC→T (0.7%) N1303K (1.3%) R117H (0.7%) United States ∆F508 (48.0%) S1255X (1.4%) 77.3 59.8 16 160/148 Carles et al. [1996]; Macek et al. (African 3120+1G→A (12.2%) 444delA (0.7%) [1997]; Dörk et al. [1998]; American) 2307insA (2.0%) R334W (0.7%) Friedman et al. [1998] A559T (2.0%) ∆I507 (0.7%) R553X (2.0%) 1717-1G→A (0.7%) ∆F311 (2.0%) G542X (0.7%) G480C (1.4%) S549N (0.7%) 405+3A→C (1.4%) G551D (0.7%) United States 1) L1093P - - 1 2 Yee et al. [2000] (Cherokee) United States Non-French: French: Non- Non- Non- Non- Bayleran et al. [1996] (Maine) ∆F508 (82.0%) ∆F508 (58%) French: French: French: French: G542X (2.6%) 711+1G→T (8.3%) 95.3 90.8 11 191 G551D (2.6%) I148T (4.2%) French: French: French: French: N1303K (2.1%) A455E (4.2%) 80.3 64.5 8 72 R560T (1.0%) 1717-1G→A (1.4%) Total: 621+1G→T (1.0%) G85E (1.4%) 263 711+1G→T (1.0%) 621+1G→T (1.4%) R117H (1.0%) Y1092X (1.4%) 1717-1G→A (1.0%) G85E (0.5%) W1282X (0.5%) 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 WORLDWIDEANALYSISOFCFTRMUTATIONS589 United States ∆F508 (46.0%) R334W (1.6%) 58.5 34.2 7 129 Grebe et al. [1994] (SW Hispanic) G542X (5.4%) W1282X (0.8%) 3849+10KbC→T (2.3%) R553X (0.8%) R1162X (1.6%) United States 1) R1162X - - 3 17 Mercier et al. [1992] (SW Native 2) D648V American) 3) G542X United States 1) R1162X 3) G542X - - 4 16 Mercier et al. [1994] (Zuni Pueblo) 2) 3849+10KbC®T 4) D648V Venezuela ∆F508 (29.6%) G542X (3.7%) 33.3 11.1 2 54 Restrepo et al. [2000] Other Regions Australia ∆F508 (76.9%) 621+1G→T (1.1%) 88.7 78.7 8 761/464 CFGAC [1994] G551D (4.5%) N1303K (0.9%) G542X (2.8%) W1282X (0.6%) R553X (1.3%) R117H (0.6%) East Asia 1) 1898+1G®T 2) 1898+5G®T - - 2 28 Suwanjutha et al. [1998] Hutterite 1) M1101K (69.0%) 2) DF508 (31.0%) - - 2 32 Zielenski et al. [1993] Brethren New Zealand ∆F508 (78.0%) N1303K (1.9%) 87.4 76.4 5 636 CFGAC [1994] G551D (4.4%) 621+1G→T (1.1%) G542X (2.0%) *This table presents the mutation panels for all regions investigated in this study. Login to comment
213 Ideal Recommended CFTR Mutation Screening Panel for 2001 Neonatal Screening in the USA* Location Estimated Mutation in CFTRa percentageb Reason for inclusion DF508 Exon 10 68.6% CFF registry, >1%, Pan-European G542X Exon 11 2.4% CFF registry, >1%, Mediterranean G551D Exon 11 2.1% CFF registry, >1%, Celtic W1282X Exon 20 1.4% CFF registry, >1%, Ashkenazi Jew N1303K Exon 21 1.3% CFF registry, >1%, Mediterranean R553X Exon 11 0.9% CFF registry, >0.5%, Hispanic 621+1G®T Intron 4 0.9% CFF registry, >0.5%, multi-ethnic 1717-1G®A Intron 10 0.7% CFF registry, >0.5%, Italian 3849+10KbC®T Intron 19 0.7% CFF registry, >0.5%, Hispanic R117Hc Exon 4 0.7% CFF registry, >0.5% 1898+1G→T Intron 12 0.4% CFF registry, >0.1%, East Asian DI507 Exon 10 0.3% CFF registry, >0.1%, Hispanic 2789+5G®A Intron 14b 0.3% CFF registry, >0.1% G85E Exon 3 0.3% CFF registry, >0.1% R347P Exon 7 0.2% CFF registry, >0.1% R334W Exon 7 0.2% CFF registry, >0.1%, multi-ethnic R1162X Exon 19 0.2% CFF registry, >0.1%, multi-ethnic R560T Exon 11 0.2% CFF registry, >0.1% 3659delC Exon 19 0.2% CFF registry, >0.1% A455E Exon 9 0.2% CFF registry, >0.1% 2184delA Exon 13 0.1% CFF registry, >0.1% S549N Exon 11 0.1% CFF registry, >0.1%, multi-ethnic 711+1G®T Intron 5 0.1% CFF registry, >0.1% R75X Exon 3 0.2% Hispanic 406-1G→A Intron 3 0.2% Hispanic I148T Exon 4 0.2% Hispanic, French 2055del9→A Exon 13 0.1% Hispanic 935delA Exon 6b 0.1% Hispanic I506T Exon 10 0.1% Hispanic 3199del6 Exon 17a 0.1% Hispanic 2183AA→G Exon 13 0.1% Hispanic 3120+1G®A Intron 16 1.5% African American, Arabian 2307insA Exon 13 0.2% African American A559T Exon 11 0.2% African American ∆F311 Exon 7 0.2% African American G480C Exon 10 0.2% African American 405+3A→C Intron 3 0.2% African American S1255X Exon 20 0.2% African American L1093P Exon 17b Undetermined Native American D648V Exon 13 Undetermined Native American I1234V Exon 19 Undetermined Arabian linkage S549R Exon 11 Undetermined Arabian linkage 1898+5G→T Intron 12 Undetermined East Asian linkage CFTRdele2,3 Exons 2,3 Undetermined Eastern European linkage (Slavic) Y1092X Exon 17b Undetermined French linkage 394delTT Exon 3 Undetermined Nordic linkage Y569D Exon 12 Undetermined Pakistani linkage 3905insT Exon 20 Undetermined Swiss linkage (also: Amish, Acadian, Mennonite) 1898+1G®A Intron 12 Undetermined Welsh linkage M1101k Exon 17b Undetermined Hutterite ancestry *This table presents the top 50 mutations in the USA based on the Cystic Fibrosis Foundation CF Registry data from 1997 [Cystic Fibrosis Foundation, 1998], and data generated during our investigation. Login to comment

[hide] Structure of nucleotide-binding domain 1 of the cy... EMBO J. 2004 Jan 28;23(2):282-93. Epub 2003 Dec 18. Lewis HA, Buchanan SG, Burley SK, Conners K, Dickey M, Dorwart M, Fowler R, Gao X, Guggino WB, Hendrickson WA, Hunt JF, Kearins MC, Lorimer D, Maloney PC, Post KW, Rajashankar KR, Rutter ME, Sauder JM, Shriver S, Thibodeau PH, Thomas PJ, Zhang M, Zhao X, Emtage S
Structure of nucleotide-binding domain 1 of the cystic fibrosis transmembrane conductance regulator.
EMBO J. 2004 Jan 28;23(2):282-93. Epub 2003 Dec 18., 2004-01-28 [PMID:14685259]

Abstract [show]
Cystic fibrosis transmembrane conductance regulator (CFTR) is an ATP-binding cassette (ABC) transporter that functions as a chloride channel. Nucleotide-binding domain 1 (NBD1), one of two ABC domains in CFTR, also contains sites for the predominant CF-causing mutation and, potentially, for regulatory phosphorylation. We have determined crystal structures for mouse NBD1 in unliganded, ADP- and ATP-bound states, with and without phosphorylation. This NBD1 differs from typical ABC domains in having added regulatory segments, a foreshortened subdomain interconnection, and an unusual nucleotide conformation. Moreover, isolated NBD1 has undetectable ATPase activity and its structure is essentially the same independent of ligand state. Phe508, which is commonly deleted in CF, is exposed at a putative NBD1-transmembrane interface. Our results are consistent with a CFTR mechanism, whereby channel gating occurs through ATP binding in an NBD1-NBD2 nucleotide sandwich that forms upon displacement of NBD1 regulatory segments.

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216 CF mutations in NBD1 The majority of sites of CF-causing missense mutations occur in NBD1, primarily in its a-subdomain, and the locations in the mNBD1 structure of the most common of these (A455E, G480C, I506T, DI507, DF508, S549N, S549R, G551D, A559T, R560T, Y569D, and D648V; Bobadilla et al, 2002) are shown in Figure 3D. Login to comment

[hide] Cystic fibrosis carrier screening: validation of a... Genet Med. 2004 Sep-Oct;6(5):431-8. Edelmann L, Hashmi G, Song Y, Han Y, Kornreich R, Desnick RJ
Cystic fibrosis carrier screening: validation of a novel method using BeadChip technology.
Genet Med. 2004 Sep-Oct;6(5):431-8., [PMID:15371909]

Abstract [show]
PURPOSE: To validate a novel BeadChip assay system for cystic fibrosis (CF) mutation testing using the panel of 25 ACMG recommended mutations and D1152H. METHODS: DNA from 519 individuals originally tested for CF mutation status by allele specific oligonucleotide hybridization (ASOH) were blindly analyzed by the BeadChip assay and the results were compared. The elongation mediated multiplexed analysis of polymorphisms (eMAP) protocol, which combines multiplex amplification of genomic DNA and multiplex detection of mutations on color-coded bead arrays, was used to analyze 26 CF mutations in two separate groups. RESULTS: The system accurately distinguished the 26 CF genotypes and had 100% concordance with the ASOH technique with an assay failure rate of 1.7%. Benign variants of exon 10 codons 506, 507, and 508 did not interfere with mutation identification and reflex testing for the 5/7/9T IVS8 polymorphism was performed on a separate array. CONCLUSIONS: The BeadChip assay system provided accurate and rapid identification of the ACMG recommended CF mutations.

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49 Reflex testing of delF508 and delI507 positive samples for the F508C, I506T, and I507T variants was not necessary with this methodology. Login to comment

[hide] Negative genetic neonatal screening for cystic fib... Clin Genet. 2007 Oct;72(4):374-7. Girardet A, Guittard C, Altieri JP, Templin C, Stremler N, Beroud C, des Georges M, Claustres M
Negative genetic neonatal screening for cystic fibrosis caused by compound heterozygosity for two large CFTR rearrangements.
Clin Genet. 2007 Oct;72(4):374-7., [PMID:17850636]

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28 CFTR mutations identified through the neonatal screening of 84 newborns Mutations Frequency (%) p.Phe508del* 59.52 p.Arg117His* 5.35 p.Gly542X* 2.98 [3849110 kbC.T]* 2.39 p.Arg334Trp* 1.19 p.Arg1162X* 1.19 [2183AA.G]* 1.19 [1717-1G.A]* 1.19 p.Arg1066Cys 1.19 p.Glu1104X 1.19 Total 77.38 Mutations found only once 22.62 Mutations found in a single cystic fibrosis allele: p.Arg75X*, p.Tyr122X*, 71111G.T*, 1078delT*, p.Ile507del*, p.Gly551Asp*, p.Ser1251Asn*, p.Trp1282X*, p.Asn1303Lys*, 62113A.G, p.Leu206Trp, p.Gln220X, p.Gln237Glu, 100115G.A, (TG)12T5, p.Ile506Val, p.Ile506Thr, 1717- 3T.C, p.Leu558Ser, 1802delC, p.Lys710X, p.Leu732X, 2380del8, p.Cys832X, 262211G.A, p.Arg851X, 2634delT, 3007delG, p.Leu997Phe, 3041-15T.G, 3121-1G.A, p.Arg1102X, p.Gly1127Glu, 3750delAG, 3850-1G.A, 400511G.A, and two large rearrangements c.54-5811_c. 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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149 [I506T] c.[1521_1523delCTT]? 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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105 Our impression is that Table 3 Common CF mutations identified in this study and in several Latin American populations Mutation This study Hispanic1 Mexico2 Colombia3 Brazil4 Argentina5 Chile6 p.F508del 51.7 51.6 40.7 41.8 48.4 58.6 45.0 p.G542X 7.7 4.0 6.2 3.8 8.8 4.1 7.0 p.N1303K 2.9 0.8 2.0 0.5 2.5 2.7 - c.1811 + 1,6kbA > G 1.8 - - 6.5 - 0.9 - p.R334W 1.8 1.6 - 0.5 2.5 1.1 2.0 p.L206W 1.6 - - - 0.6 - - c.711 + 1G > T 1.6 - - - - - - p.Q890X 1.4 - - - - - - p.R1162X 1.3 0.8 - 1.1 2.5 0.4 2.0 c.2789 + 5G > A 1.2 - - 0.5 0.3 0.7 - p.R1066C 1.2 1.6 - 0.5 - 0.2 - p.I507del 1.0 - 2.6 - - 0.7 - c.2183AA > G 0.8 - 1.0 - 0.2 - p.G85E 0.7 0.8 0.5 - 1.3 0.7 - p.W1282X 0.7 0.8 - 1.1 1.3 2.7 5.0 c.3849 + 10kbC > T 0.4 4.0 0.5 - - 0.9 3.0 p.S549N - 2.4 2.6 - - - - c.3120 + 1G > A - 1.6 - 0.5 - - - c.3876delA - 5.6 - - - - - c.406-1G > A - 1.6 1.5 - - - - c.935delA - 1.6 1.0 - - - - p.R75X - 0.8 1.5 - - - - c.2055del9 - - 1.0 - - - - p.I506T - - 1.0 - - - - c.3199del6 - - 1.0 - - - - p.S549R 0.4 - - 2.2 - 0.2 - c.1717-1G > A 0.2 - - - 0.3 1.1 - p.G551D 0.2 0.8 0.5 - - - 1.0 p.R553X 0.4 - 0.5 - 0.6 0.2 1.0 No. Login to comment

[hide] Consensus on the use and interpretation of cystic ... J Cyst Fibros. 2008 May;7(3):179-96. Castellani C, Cuppens H, Macek M Jr, Cassiman JJ, Kerem E, Durie P, Tullis E, Assael BM, Bombieri C, Brown A, Casals T, Claustres M, Cutting GR, Dequeker E, Dodge J, Doull I, Farrell P, Ferec C, Girodon E, Johannesson M, Kerem B, Knowles M, Munck A, Pignatti PF, Radojkovic D, Rizzotti P, Schwarz M, Stuhrmann M, Tzetis M, Zielenski J, Elborn JS
Consensus on the use and interpretation of cystic fibrosis mutation analysis in clinical practice.
J Cyst Fibros. 2008 May;7(3):179-96., [PMID:18456578]

Abstract [show]
It is often challenging for the clinician interested in cystic fibrosis (CF) to interpret molecular genetic results, and to integrate them in the diagnostic process. The limitations of genotyping technology, the choice of mutations to be tested, and the clinical context in which the test is administered can all influence how genetic information is interpreted. This paper describes the conclusions of a consensus conference to address the use and interpretation of CF mutation analysis in clinical settings. Although the diagnosis of CF is usually straightforward, care needs to be exercised in the use and interpretation of genetic tests: genotype information is not the final arbiter of a clinical diagnosis of CF or CF transmembrane conductance regulator (CFTR) protein related disorders. The diagnosis of these conditions is primarily based on the clinical presentation, and is supported by evaluation of CFTR function (sweat testing, nasal potential difference) and genetic analysis. None of these features are sufficient on their own to make a diagnosis of CF or CFTR-related disorders. Broad genotype/phenotype associations are useful in epidemiological studies, but CFTR genotype does not accurately predict individual outcome. The use of CFTR genotype for prediction of prognosis in people with CF at the time of their diagnosis is not recommended. The importance of communication between clinicians and medical genetic laboratories is emphasized. The results of testing and their implications should be reported in a manner understandable to the clinicians caring for CF patients.

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1236 Table 1 Geographical distribution of the most common mutations E60X Southern European S549N Indian CFTR Slavic - Eastern European G551D United Kingdom, Central Europe R75X Southern European, US-Hispanic Q552X Southern European, Italian 394delTT Nordic - Baltic sea region R553X Central European G85E Southern Europe A559T African-American 406-1GNA US-Hispanic R560T Northern Irish R117H European-derived populations 1811+1.6kbANG Spanish, US-Hispanic R117C Northern European 1898+1GNA United Kingdom, Central Europe 621+1GNT Southern European 1898+5GNT East Asian populations 711+1GNT French, French Canadian 2143delT Slavic - Eastern European 711+5GNA US-Hispanic 2183delAANG Southern Europe, Middle Eastern, Iranian, Latin American L206W Spanish and US-Hispanic 2184delA European-derived populations V232D Spanish and US-Hispanic 2789+5GNA European-derived populations 1078delT French Brittany Q890X Southern European R334W Southern European, Latin American 3120+1GNA African, Arabian, African-American, Southern Europe 1161delC Indian 3272-26ANG European-derived populations R347P European-derived, Latin America 3659delC Scandinavian R347H Turkish 3849+10kbCNT Ashkenazi-Jewish, Southern European, Middle Eastern, Iranian, Indian A455E Dutch R1066C Southern European 1609delCA Spanish, US-Hispanic Y1092X (CNA) Southern European I506T Southern European, Spanish M1101K US-Hutterite I507del European-derived populations 3905insT Swiss F508del European-derived populations D1152H European-derived populations 1677delTA Southern European, Middle Eastern R1158X Southern European 1717-GNA European-derived populations R1162X Italian, Amerindian, Latin America V520F Irish S1251N European-derived populations G542X Southern European, Mediterranean W1282X Ashkenazi-Jewish, Middle Eastern S549R(TNG) Middle Eastern N1303K Southern European, Middle Eastern Legend: these alleles occur with a frequency superior to 0.1% in selected populations. Login to comment
1239 Table 1 Geographical distribution of the most common mutations E60X Southern European S549N Indian CFTR Slavic - Eastern European G551D United Kingdom, Central Europe R75X Southern European, US-Hispanic Q552X Southern European, Italian 394delTT Nordic - Baltic sea region R553X Central European G85E Southern Europe A559T African-American 406-1GNA US-Hispanic R560T Northern Irish R117H European-derived populations 1811+1.6kbANG Spanish, US-Hispanic R117C Northern European 1898+1GNA United Kingdom, Central Europe 621+1GNT Southern European 1898+5GNT East Asian populations 711+1GNT French, French Canadian 2143delT Slavic - Eastern European 711+5GNA US-Hispanic 2183delAANG Southern Europe, Middle Eastern, Iranian, Latin American L206W Spanish and US-Hispanic 2184delA European-derived populations V232D Spanish and US-Hispanic 2789+5GNA European-derived populations 1078delT French Brittany Q890X Southern European R334W Southern European, Latin American 3120+1GNA African, Arabian, African-American, Southern Europe 1161delC Indian 3272-26ANG European-derived populations R347P European-derived, Latin America 3659delC Scandinavian R347H Turkish 3849+10kbCNT Ashkenazi-Jewish, Southern European, Middle Eastern, Iranian, Indian A455E Dutch R1066C Southern European 1609delCA Spanish, US-Hispanic Y1092X (CNA) Southern European I506T Southern European, Spanish M1101K US-Hutterite I507del European-derived populations 3905insT Swiss F508del European-derived populations D1152H European-derived populations 1677delTA Southern European, Middle Eastern R1158X Southern European 1717-GNA European-derived populations R1162X Italian, Amerindian, Latin America V520F Irish S1251N European-derived populations G542X Southern European, Mediterranean W1282X Ashkenazi-Jewish, Middle Eastern S549R(TNG) Middle Eastern N1303K Southern European, Middle Eastern Legend: these alleles occur with a frequency superior to 0.1% in selected populations. Login to comment

[hide] A haplotype framework for cystic fibrosis mutation... J Mol Diagn. 2006 Feb;8(1):119-27. Elahi E, Khodadad A, Kupershmidt I, Ghasemi F, Alinasab B, Naghizadeh R, Eason RG, Amini M, Esmaili M, Esmaeili Dooki MR, Sanati MH, Davis RW, Ronaghi M, Thorstenson YR
A haplotype framework for cystic fibrosis mutations in Iran.
J Mol Diagn. 2006 Feb;8(1):119-27., [PMID:16436643]

Abstract [show]
This is the first comprehensive profile of cystic fibrosis transmembrane conductance regulator (CFTR) mutations and their corresponding haplotypes in the Iranian population. All of the 27 CFTR exons of 60 unrelated Iranian CF patients were sequenced to identify disease-causing mutations. Eleven core haplotypes of CFTR were identified by genotyping six high-frequency simple nucleotide polymorphisms. The carrier frequency of 2.5 in 100 (1 in 40) was estimated from the frequency of heterozygous patients and suggests that contrary to popular belief, cystic fibrosis may be a common, under-diagnosed disease in Iran. A heterogeneous mutation spectrum was observed at the CFTR locus in 60 cystic fibrosis (CF) patients from Iran. Twenty putative disease-causing mutations were identified on 64 (53%) of the 120 chromosomes. The five most common Iranian mutations together represented 37% of the expected mutated alleles. The most frequent mutation, DeltaF508 (p.F508del), represented only 16% of the expected mutated alleles. The next most frequent mutations were c.1677del2 (p.515fs) at 7.5%, c.4041C>G (p.N1303K) at 5.6%, c.2183AA>G (p.684fs) at 5%, and c.3661A>T (p.K1177X) at 2.5%. Three of the five most frequent Iranian mutations are not included in a commonly used panel of CF mutations, underscoring the importance of identifying geographic-specific mutations in this population.

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94 The mutation p.G85E has been shown to reduce gene activity by altering the tertiary structure of the CFTR channel;31 p.R334W leads to loss of conductivity of the large conductance channel of CFTR;32 p.T338I is a mutation in the sixth transmembrane segment of the MSD1 domain; p.L467F and p.I506T are mutations in the first nucleotide binding domain (NBD1); and p.N1303K is a mutation in the second nucleotide binding domain (NBD2) of the CFTR protein. Login to comment
111 of Patients Total alleles* Associated haplotype Global distributionHom Het Exon 1 c.134TϾC M1T 1 1 Rare Exon 3 c.386GϾA G85E 1 1 Global Exon 4 c.460GϾC D110H 1 1 H2 Europe Exon 7 c.1132CϾT R334W 1 1 H2 Global Exon 7 c.1145CϾT T338I 1 1 Europe Intron 9 c.1525-1GϾA Mis-splicing 1 1 H8 Pakistan Exon 10 c.1529CϾG S466X 1 2 H4 Germany Exon 10 c.1531CϾT L467F 1 1 Rare Exon 10 c.1649TϾC I506T 1 2 H8 Lebanon Exon 10 c.1652del3† ⌬F508 6 7 19 H5 Global Exon 10 c.1677delTA 515fs 4 1 9 H1 Europe Exon 11 c.1756GϾT G542X 1 1 H5 Global Exon 12 c.1821CϾA Y563X 2 2 Europe Exon 13 c.2183AAϾG 684fs 3 6 H3 Europe Exon 17a c.3170CϾT P1013L 1 1 Turkey Exon 19 c.3616CϾT R1162X 2 2 H2 Germany Exon 19 c.3661AϾT K1177X 1 1 3 H2 Bahrain Intron 20 c.4005ϩ1GϾA Mis-splicing 1 2 H2 Europe Exon 21 c.4041CϾG N1303K 3 1 7 H5 Global Exon 23 c.4363CϾT Q1412X 1 1 Rare *A total of 64 (53%) of the 120 expected alleles were observed. Login to comment

[hide] Diagnostic testing by CFTR gene mutation analysis ... J Mol Diagn. 2005 May;7(2):289-99. Schrijver I, Ramalingam S, Sankaran R, Swanson S, Dunlop CL, Keiles S, Moss RB, Oehlert J, Gardner P, Wassman ER, Kammesheidt A
Diagnostic testing by CFTR gene mutation analysis in a large group of Hispanics: novel mutations and assessment of a population-specific mutation spectrum.
J Mol Diagn. 2005 May;7(2):289-99., [PMID:15858154]

Abstract [show]
Characterization of CFTR mutations in the U.S. Hispanic population is vital to early diagnosis, genetic counseling, patient-specific treatment, and the understanding of cystic fibrosis (CF) pathogenesis. The mutation spectrum in Hispanics, however, remains poorly defined. A group of 257 self-identified Hispanics with clinical manifestations consistent with CF were studied by temporal temperature gradient electrophoresis and/or DNA sequencing. A total of 183 mutations were identified, including 14 different amino acid-changing novel variants. A significant proportion (78/85) of the different mutations identified would not have been detected by the ACMG/ACOG-recommended 25-mutation screening panel. Over one third of the mutations (27/85) occurred with a relative frequency >1%, which illustrates that the identified mutations are not all rare. This is supported by a comparison with other large CFTR studies. These results underscore the disparity in mutation identification between Caucasians and Hispanics and show utility for comprehensive diagnostic CFTR mutation analysis in this population.

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201 Comparison of Relative Frequencies of CFTR Sequence Variants in Comprehensive CFTR Studies in US and Mexican Hispanics This study % Orozco 2000 % US/ Mexican % deltaF508 28.96 54.48 43.72 G542X 3.83 8.28 5.19 406 - 1GϾA 3.28 2.07 2.38 W1204X 2.19 Ͻ1 1.08 R74W 1.64 Ͻ1 R75X 1.64 2.07 1.51 H199Y 1.64 Ͻ1 Ͻ1 L206W 1.64 Ͻ1 L997F 1.64 Ͻ1 I1027T 1.64 Ͻ1 2055del9ϾA 1.64 1.38 1.27 D1270N 1.64 Ͻ1 E116K 1.09 Ͻ1 V232D 1.09 Ͻ1 R334W 1.09 Ͻ1 S492F 1.09 Ͻ1 T501A 1.09 Ͻ1 R553X 1.09 Ͻ1 Ͻ1 E588V 1.09 Ͻ1 R668C 1.09 Ͻ1 Q890X 1.09 Ͻ1 W1089X 1.09 Ͻ1 S1235R 1.09 Ͻ1 D1445N 1.09 Ͻ1 3876delA 1.09 3.24 1717 - 8GϾA 1.09 Ͻ1 3272 - 26AϾG 1.09 Ͻ1 A1009T 1.09 Ͻ1 deltaI507 Ͻ1 3.45 1.30 S549N Ͻ1 3.45 1.95 G567A Ͻ1 Ͻ1 I148T 2.07 1.08 I506T 1.38 Ͻ1 N1303K 2.76 1.08 935delA 1.38 1.30 2183AAϾG 1.38 Ͻ1 3199del6 1.38 Ͻ1 3849 ϩ 10kbCϾT Ͻ1 1.30 ACMG/ACOG italicized. Login to comment

[hide] High heterogeneity of CFTR mutations and unexpecte... J Cyst Fibros. 2004 Dec;3(4):265-72. des Georges M, Guittard C, Altieri JP, Templin C, Sarles J, Sarda P, Claustres M
High heterogeneity of CFTR mutations and unexpected low incidence of cystic fibrosis in the Mediterranean France.
J Cyst Fibros. 2004 Dec;3(4):265-72., [PMID:15698946]

Abstract [show]
In this report, we present updated spectrum and frequency of mutations of the CFTR gene that are responsible for cystic fibrosis (CF) in Languedoc-Roussillon (L-R), the southwestern part of France. A total of 75 different mutations were identified by DGGE in 215 families, accounting for 97.6% of CF genes and generating 88 different mutational genotypes. The frequency of p.F508del was 60.23% in L-R versus 67.18% in the whole country and only five other mutations (p.G542X, p.N1303K, p.R334W, c.1717-1G>A, c.711+1G>T) had a frequency higher than 1%. The mutations were scattered over 20 exons or their border. This sample representing only 5.7% of French CF patients contributed to 24% of CFTR mutations reported in France. This is one of the highest molecular allelic heterogeneity reported so far in CF. We also present the result of a neonatal screening program based on a two-tiered approach "IRT/20 mutations/IRT" analysis on blood spots, implemented in France with the aim to improve survival and quality of life of patients diagnosed before clinical onset. This 18-month pilot project showed an unexpected low incidence of CF (1/8885) in South of France, with only six CF children detected among 43,489 neonates born in L-R, and 13 among 125,339 neonates born in Provence-Alpes-Cote-d'Azur (PACA).

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68 of chromosomes (frequency %) p.M1V 1 1 (0.23) p.M1K 1 1 (0.23) c.300delA 3 1 (0.23) p.P67L 3 1 (0.23) c.359insT 3 1 (0.23) p.G85E 3 3 (0.70) c.394delTT 3 1 (0.23) p.Q98R 4 1 (0.23) p.R117H 4 2 (0.47) p.Y122X 4 2 (0.47) p.Y161N 4 1 (0.23) c.621+1GNT intron 4 1 (0.23) c.621+2TNG intron 4 1 (0.23) p.I175V 5 2 (0.47) c.711+1GNT intron 5 5 (1.16) p.L206W 6 3 (0.70) p.Q220X 6 1 (0.23) p.L227R 6 1 (0.23) c.1078delT 7 2 (0.47) p.R334W 7 7 (1.63) p.R347P 7 2 (0.47) c.1215delG 7 1 (0.23) c.T5 intron 8 1 (0.23) p.D443Y 9 1 (0.23) p.I506T 10 1 (0.23) p.I507del 10 4 (0.93) p.F508del 10 259 (60.23) p.F508C 10 1 (0.23) c.1677delTA 10 1 (0.23) c.1717-8GNA intron 10 1 (0.23) c.1717-1GNA intron 10 6 (1.40) p.G542X 11 23 (5.35) p.S549R 11 1 (0.23) p.G551D 11 2 (0.47) p.R553X 11 1 (0.23) c1811+1.6kbANG intron 11 4 (0.93) c.1812-1GNA intron 11 1 (0.23) p.T582I 12 1 (0.23) p.E585X 12 2 (0,47) c.1898+1GNA intron 12 1 (0.23) [c.1898+5GNA ;p.E725K] intron 12 1 (0.23) c.1898+73TNG intron 12 1 (0.23) c.2183AANG 13 4 (0.93) c.2184insA 13 1 (0.23) p.K710X 13 4 (0.93) c.2423delG 13 1 (0.23) p.S776X 13 1 (0.23) c.2493ins8 13 1 (0.23) p.R792X 13 1 (0.23) p.K830X 13 1 (0.23) p.D836Y 14a 1 (0.23) p.W846X1 14a 1 (0.23) c.2711delT 14a 1 (0.23) c.2789+5GNA intron 14b 3 (0.70) p.S945L 15 3 (0.70) p.D993Y 16 1 (0.23) c.3129del4 17a 1 (0.23) c.3195del6 17a 1 (0.23) c.3272-26ANG intron 17a 1 (0.23) [c.3395insA ;pI148T] 17b/4 1 (0,23) p.Y1092X 17b 3 (0.70) Table 1 (continued) Mutation Location exon/intron No. Login to comment

[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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109 h M1K, K14X, W19X, 211delG, G27E, R31C, 237insA, 241delAT, Q39X, 244delTA, 296+2T>C, 297-3C>T, W57X+F87L, 306delTAGA, P67L, A72D, 347delC, R75Q, 359insT, 394delT, 405+4A>G, Q98R, 457TAT>G, R117H+5T, R117H+I1027T, R117L, R117P, H139R, A141D, M152V, N186K, D192N, D192del, E193X, 711+1G>A, 711+3A>G, 712-1G>T, L206F, W216X, C225R, Q237E, G241R, 852del22, 876-14del12, 905delG, 993del5, E292K, Y304X, F311del, 1161delC, R347L, R352Q, W361R, 1215delG, S364P, S434X, D443Y, S466X, C491R, T501A, I506T, F508C, I507del+F508C, F508del+L467F, 1774delCT, R553G, 1802delC, 1806delA, A559E, Y563N, 1833delT, Y569C, Y569H, Y569X, G576X, G576A, T582I, 1898+3A>G+186-13C>G, 1918delGC, R600G, L610S, G628R, 2043delG, 2118del4, E664X, 2174insA, Q689X, K698R, K716X, L732X, 2347delG, 2372del8, R764X, 2423delG, S776X, 2634insT, 2640delT, C866Y, 2752-1G>T, W882X, Y913C, V920M, 2896insAG, H939D, H939R, D979V, D985H, D993Y, 3120G>A, I1005R, 3195del6, 3293delA, 3320ins5, W1063X, A1067T, 3359delCT, T1086I, W1089X, Y1092X+S1235R, W1098X, E1104X, R1128X, 3532AC>GTA, 3548TCAT>G, M1140del, 3600G>A, R1162L, 3667ins4, 3732delA+K1200E, S1206X, 3791delC, S1235R+5T, Q1238R, Q1238X, 3849+4A>G, T1246I, 3869insG, S1255P, R1283K, F1286S, 4005+1G>T, 4006-8T>A, 4015delA, N1303H, N1303I, 4172delGC, 4218insT, 4326delTC, Q1382X, 4375-1C>T, 4382delA, D1445N, CF40kbdel4-10, Cfdel17b. Login to comment

[hide] CFTR gene analysis in Latin American CF patients: ... J Cyst Fibros. 2007 May;6(3):194-208. Epub 2006 Sep 11. Perez MM, Luna MC, Pivetta OH, Keyeux G
CFTR gene analysis in Latin American CF patients: heterogeneous origin and distribution of mutations across the continent.
J Cyst Fibros. 2007 May;6(3):194-208. Epub 2006 Sep 11., [PMID:16963320]

Abstract [show]
BACKGROUND: Cystic Fibrosis (CF) is the most prevalent Mendelian disorder in European populations. Despite the fact that many Latin American countries have a predominant population of European-descent, CF has remained an unknown entity until recently. Argentina and Brazil have detected the first patients around three decades ago, but in most countries this disease has remained poorly documented. Recently, other countries started publishing their results. METHODS: We present a compilation and statistical analysis of the data obtained in 10 countries (Argentina, Brazil, Chile, Colombia, Costa Rica, Cuba, Ecuador, Mexico, Uruguay and Venezuela), with a total of 4354 unrelated CF chromosomes studied. RESULTS: The results show a wide distribution of 89 different mutations, with a maximum coverage of 62.8% of CF chromosomes/alleles in the patient's sample. Most of these mutations are frequent in Spain, Italy, and Portugal, consistent with the origin of the European settlers. A few African mutations are also present in those countries which were part of the slave trade. New mutations were also found, possibly originating in America. CONCLUSION: The profile of mutations in the CFTR gene, which reflects the heterogeneity of its inhabitants, shows the complexity of the molecular diagnosis of CF mutations in most of the Latin American countries.

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No. Sentence Comment
42 Some have concentrated in the search of specific mutations that are Table 1 Mutations found in the Latin American CF patients Exon 1 p.L6VÌe; Exon 3 p.W57X, p.R75X, p.G85E Exon 4 p.R117H Exon 6a p.H199Y, p.V201M, p.L206W, p.Q220X, p.V232D, c.846delTÌe; Exon 6b p.Y275XÌe;, c.935delA Exon 7 p.R334W, p.R347P, p.Y362XÌe;, c.1078delT, c.1215delG Exon 8 c.1323_1324insAÌe; Exon 9 c.1460_1461delATÌe;, c.1353_1354insTÌe;,# Exon 10 p.I506T, p.I507del, p.F508del Exon 11 p.G542X, p.S549N, p.S549R, p.G551D, p.G551S, p.R553X, p.L558S, p.A559T, c.1782delA Exon 12 p.S589I Exon 13 p.H609RÌe;, p.P750L, p.V754M, c.1924_1930del, c.2055_2063del, c.2183AA NG;c.2184delA, c.2184delA, c.2185_2186insC, c.2347delG, c.2566_2567insTÌe;, c.2594_2595delGTÌe; Exon 14a p.R851L, c.2686_2687insTÌe; Exon 15 c.2869_2870insG Exon 16 c.3120+1GNA Exon 17a p.I1027T, c.3171delC, c.3199_3204del Exon 17b p.G1061R, p.R1066C, p.W1069X#, p.W1089X, p.Y1092X, p.W1098CÌe; Exon 19 p.R1162X, p.W1204X, p.Q1238X, c.3617_3618delGAÌe;#, c.3659delC Exon 20 p.W1282X, p.R1283M Exon 21 p.N1303K, c.4016_4017insT Exon 22 c.4160_4161insGGGGÌe; 5' flanking c.-834GNT Intron 2 c.297-1GNAÌe;, c.297-2ANG Intron 3 c.406-1GNA Intron 4 c.621+1GNT Intron 5 c.711+1GNT Intron 8 c.IVS8-5T Intron 10 c.1716GNA, c.1717-1GNA Intron 11 c.1811+1.6KbANG, c.1812-1GNA Intron 12 c.1898+1GNA, c.1898+3ANG Intron 14 c.2789+2_2789+3insA, c.2789+5GNA Intron 17a c.3272-26ANG Intron 17b c.3500-2ANGÌe; Intron 19 c.3849+1GNA, c.3849+10KbCNT Intron 20 c.4005+1GNA, c.4005-1GNA# Mutations are listed according to their position in the gene. Login to comment
46 of chromosomes analysed p.F508del p.G542X p.W1282X p.N1303K p.R1162X p.L6VÌe; p.W57X p.R75X p.G85E p.R117H p.H199Y p.V201M p.L206W p.Q220X p.V232D p.Y275XÌe; p.R334W p.R347P p.Y362XÌe; p.I506T Argentina 98 61 440 258 18 12 12 2 1 1 3 1 5 1 310 181 20 7 5 5 7 0 5 0 222 135 15 7 5 1 26 14 2 1 1 150 88 6 6 1 2 3 Subtotal and frequency (%) 1246 100 737 59.15 61 4.90 27 2.17 28 2.25 9 0.72 1 0.08 1 0.08 13 1.04 1 0.08 13 1.04 1 0.08 Brazil 468 221 26 11 74 38 2 1 320 155 28 3 8 8 4 1 2 1 1 8 122 62 120 38 10 3 148 38 4 0 0 48 15 154 75 5 1 0 2 0 386 154 24 6 10 17 9 0 10 1 18 4 0 0 2 0 0 0 0 Subtotal and frequency (%) 1858 100 800 43.06 99 5.33 11 0.59 34 1.83 25 1.35 13 0.70 1 0.05 2 0.11 1 0.05 1 0.05 20 1.07 1 0.05 Chile 72 21 36 11 3 0 44 22 4 3 1 1 100 45 7 5 0 2 0 2 0 Subtotal and frequency (%) 252 100 99 41.28 14 5.55 8 3.17 3 1.19 3 1.19 Colombia 184 77 7 2 1 2 1 34 13 2 1 1 Subtotal and frequency (%) 218 100 90 41.28 9 4.13 3 1.38 2 0.92 2 0.92 1 0.46 Costa Rica Frequency (%) 48 100 11 22.91 12 25.00 0 0 0 0 0 Cuba Frequency (%) 144 100 49 34.03 Ecuador 32 11 1 50 16 2 2 20 5 0 0 0 Subtotal and frequency (%) 102 100 32 31.37 2 1.96 1 0.98 2 1.96 Mexico 194 79 12 4 3 1 1 1 2 80 36 4 1 Subtotal and frequency (%) 274 100 115 41.97 16 5.84 5 1.82 3 1.09 1 0.36 1 0.36 1 0.36 2 0.73 Uruguay Frequency (%) 76 100 43 56.58 6 7.89 2 2.63 3 3.95 3 3.95 2 2.63 Venezuela 54 16 2 82 41 Subtotal and frequency (%) 136 100 57 41.91 2 1.47 Total 4354 2033 221 49 72 42 1 1 3 32 1 1 1 2 1 1 1 39 1 1 2 Frequency (%) 100 46.69 5.08 1.13 1.65 0.96 0.02 0.02 0.07 0.73 0.02 0.02 0.02 0.05 0.02 0.02 0.02 0.90 0.02 0.02 0.05 The five most frequent mutations are shown on the left-hand side, followed by the rest of the mutations in 5'-3' and exon-intron order. Login to comment
98 As an example, in the case of Argentina and Uruguay, the p.F508del mutation shows the highest frequencies (59% and Table 5 Mutations with frequencies less than 0.1% Panel A Mutation Number of chromosomes % Country p.R75X 3 0.07 Mexico c.W1089X 3 0.07 Argentina, Brazil c.406-1GNA 3 0.07 Mexico c.1898+1GNA 3 0.07 Argentina, Brazil c.2686_2687insTÌe; 3 0.07 Argentina, Brazil p.L206W 2 0.05 Brazil p.I506T 2 0.05 Mexico p.S589I 2 0.05 Argentina c.711+1GNT 2 0.05 Argentina c.935delA 2 0.05 Mexico c.2055_2063del 2 0.05 Mexico c.2347delG 2 0.05 Brazil c.2566_2567insTÌe; 2 0.05 Argentina c.2789+2_2789+3insA 2 0.05 Argentina c.3199_3204del 2 0.05 Mexico c.3272-26ANG 2 0.05 Argentina c.4016_4017insT 2 0.05 Argentina Panel B Mutation N % each Country p.L6VÌe;, p.W57X, p.Q220X, p.Y362XÌe;, p.I1027T, p.G1061R, p.R1283M, c.297-2ANG, c.1353_1354insTÌe;, c.1460_1461delATÌe;, c.1782delA, c.1898+3ANG, c.2184delA, c.2594_2595delGTÌe;, c.2869_2870insG, c.4005Ìe;1GNA, c.4005-1GNA# 17 0.02 Argentina p.R117H, p.H199Y, p.G551S, p.L558S, p.P750L, p.V754M, p.W1069X#, p.W1098CÌe;, p.W1204X, c.297-1GNAÌe;, c.846delTÌe;, c.1078delT, c.1716GNA, c.1924_1930del, c.4160_4161insGGGGÌe; 15 0.02 Mexico p.V201M, p.V232D, p.Y275XÌe;, p.R347P, p.R851L, p.Q1238X, c.3171delC, c.3617_3618delGAÌe;# 8 0.02 Brazil p.A559T, p.H609RÌe;, c.1215delG, c.1323_1324insAÌe;, c.2185_2186insC, c.3500-2ANGÌe;, c.3849+1GNA, 7 0.02 Colombia c.-834GNT 1 0.02 Uruguay The upper part (Panel A) shows the mutations found in more than one patient, whereas the lower part (Panel B) of the table shows all the mutations that are present only once in each country. 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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No. Sentence Comment
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