ABCMdb

ABCC7 p.His199Tyr

ClinVar:	c.596A>G , p.His199Arg ? , not provided c.595C>T , p.His199Tyr D , Pathogenic c.597T>G , p.His199Gln ? , not provided
CF databases:	c.595C>T , p.His199Tyr D , CF-causing ; CFTR1: The mutation was found in a German CF patient who is heterozygous for [delta]F508 and negative for more than 120 other known mutations. The patient was diagnosed by the age of four years because of recurrent pneumonias, but exhibits only mild pancreatic symptoms and borderline swet chloride values. So far, H199Y was not found in a further 28 German and 8 Turkish non-[delta]F508 CF chromosomes. c.596A>G , p.His199Arg (CFTR1) ? , c.597T>G , p.His199Gln (CFTR1) ? , This alteration does not affect a restriciton site so we are testing an ASO.
Predicted by SNAP2:	A: D (95%), C: D (95%), D: D (95%), E: D (95%), F: D (95%), G: D (95%), I: D (95%), K: D (95%), L: D (95%), M: D (95%), N: D (91%), P: D (95%), Q: D (63%), R: D (95%), S: D (95%), T: D (95%), V: D (95%), W: D (95%), Y: D (59%),
Predicted by PROVEAN:	A: D, C: D, D: D, E: D, F: D, G: D, I: D, K: D, L: D, M: D, N: D, P: D, Q: D, R: D, S: D, T: D, V: D, W: D, Y: D,

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[hide] Two buffer PAGE system-based SSCP/HD analysis: a g... Eur J Hum Genet. 1999 Jul;7(5):590-8. Liechti-Gallati S, Schneider V, Neeser D, Kraemer R
Two buffer PAGE system-based SSCP/HD analysis: a general protocol for rapid and sensitive mutation screening in cystic fibrosis and any other human genetic disease.
Eur J Hum Genet. 1999 Jul;7(5):590-8., [PMID:10439967]

Abstract [show]
The large size of many disease genes and the multiplicity of mutations complicate the design of an adequate assay for the identification of disease-causing variants. One of the most successful methods for mutation detection is the single strand conformation polymorphism (SSCP) technique. By varying temperature, gel composition, ionic strength and additives, we optimised the sensitivity of SSCP for all 27 exons of the CFTR gene. Using simultaneously SSCP and heteroduplex (HD) analysis, a total of 80 known CF mutations (28 missense, 22 frameshift, 17 nonsense, 13 splicesite) and 20 polymorphisms was analysed resulting in a detection rate of 97.5% including the 24 most common mutations worldwide. The ability of this technique to detect mutations independent of their nature, frequency, and population specificity was confirmed by the identification of five novel mutations (420del9, 1199delG, R560S, A613T, T1299I) in Swiss CF patients, as well as by the detection of 41 different mutations in 198 patients experimentally analysed. We present a three-stage screening strategy allowing analysis of seven exons within 5 hours and analysis of the entire coding region within 1 week, including sequence analysis of the variants. Additionally, our protocol represents a general model for point mutation analysis in other genetic disorders and has already been successfully established for OTC deficiency, collagene deficiency, X-linked myotubular myopathy (XLMTM), Duchenne and Becker muscular dystrophy (DMD, BMD), Wilson disease (WD), Neurofibromatosis I and II, Charcot-Marie-Tooth disease, hereditary neuropathy with liability to pressure palsies, and defects in mitochondrial DNA. No other protocol published so far presents standard SSCP/HD conditions for mutation screening in different disease genes.

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20 The distribution of analysed known mutations is similar to that of the total number of mutations in the entire CFTR gene: missense mutations account for 35% (G27E, G85E, R117H, A120T, I148T, H199Y, R334W, T338I, R347P, R347H, A455E, M718K, S5449N, S5449I, G551D, R560T, R560S, S945L, S977P, I1005R, R1066C, R1070Q, M1101K, D1152H, S1235R, R1283M, N1303K, N1303H), followed by 28% of frameshift mutations (175delC, 394delTT, 457TAT- > G, 905delG, 1078delT, I507, F508, 1609delCA, 1677delTA, 2143delT, 2176insC, 218delA, 2184insA, 2869insG, 3659delC, 3732delA, 3821delT, 3905insT, 4016insT, 4172delGC, 4382delA), 21% of nonsense mutations (Q30X, Q39X, Q220X, W401X, Q525X, G542X, Q552X, R553X, V569X, E585X, K710X, R792X, Y1092X, R1162X, S1255X, W1282X, E1371X), and 16% of splice site mutations (621 + 1G- > T, 711 + 1G- > T, 711 + 5G- > A, 1717-1G- > A, 1898 + 1G- > A, 1898 + 5G- > T, 2789 + 5G- > A, 3271 + 1G- > A, 3272-26A- > G, 3601-17T- > C, 3849 + 4A- > G, 3849 + 10kbC- > T, 4374 + 1G- > T). Login to comment

[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] 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

[hide] Molecular analysis using DHPLC of cystic fibrosis:... BMC Med Genet. 2004 Apr 14;5:8. D'Apice MR, Gambardella S, Bengala M, Russo S, Nardone AM, Lucidi V, Sangiuolo F, Novelli G
Molecular analysis using DHPLC of cystic fibrosis: increase of the mutation detection rate among the affected population in Central Italy.
BMC Med Genet. 2004 Apr 14;5:8., 2004-04-14 [PMID:15084222]

Abstract [show]
BACKGROUND: Cystic fibrosis (CF) is a multisystem disorder characterised by mutations of the CFTR gene, which encodes for an important component in the coordination of electrolyte movement across of epithelial cell membranes. Symptoms are pulmonary disease, pancreatic exocrine insufficiency, male infertility and elevated sweat concentrations. The CFTR gene has numerous mutations (>1000) and functionally important polymorphisms (>200). Early identification is important to provide appropriate therapeutic interventions, prognostic and genetic counselling and to ensure access to specialised medical services. However, molecular diagnosis by direct mutation screening has proved difficult in certain ethnic groups due to allelic heterogeneity and variable frequency of causative mutations. METHODS: We applied a gene scanning approach using DHPLC system for analysing specifically all CFTR exons and characterise sequence variations in a subgroup of CF Italian patients from the Lazio region (Central Italy) characterised by an extensive allelic heterogeneity. RESULTS: We have identified a total of 36 different mutations representing 88% of the CF chromosomes. Among these are two novel CFTR mutations, including one missense (H199R) and one microdeletion (4167delCTAAGCC). CONCLUSION: Using this approach, we were able to increase our standard power rate of mutation detection of about 11% (77% vs. 88%).

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69 The other two mutations that affect the same codon are described: H199Y (727 C to T), found in a German CF patient heterozygous for delF508 and who exhibits only mild pancreatic symptoms and borderline sweat chloride values, and H199Q (729 T to G). Login to comment

[hide] Identification of novel and rare mutations in Cali... Hum Mutat. 2004 Oct;24(4):353. Alper OM, Wong LJ, Young S, Pearl M, Graham S, Sherwin J, Nussbaum E, Nielson D, Platzker A, Davies Z, Lieberthal A, Chin T, Shay G, Hardy K, Kharrazi M
Identification of novel and rare mutations in California Hispanic and African American cystic fibrosis patients.
Hum Mutat. 2004 Oct;24(4):353., [PMID:15365999]

Abstract [show]
In ethnic heterogeneous California, complete genetic information is currently lacking to build solid population-based cystic fibrosis (CF) screening programs because a large proportion of mutations in the cystic fibrosis transmembrane conductance regulator gene (CFTR/ABCC7) are still unknown, especially in non-Caucasian patients. A total of 402 [46 African American+356 Hispanic] Hispanic and African American patients from California CF patient registry were included in this study. Patients with at least one unidentified mutant allele were asked to donate blood samples for further analysis, first by Genzyme Genetics for a panel of 87 known mutations, followed by temporal temperature gradient gel electrophoresis (TTGE) scanning of the entire coding exons of CFTR gene. A total of eight novel mutations; one missense mutation, one splice-site mutation and six frame-shift mutations were identified. In addition to the eight novel mutations, 20 [corrected] distinct rare mutations that are not in the current available commercial mutation panels were identified by TTGE. The overall detection rate was raised to 95.7% for African American and 94.5% for Hispanic. The discovery of recurrent rare and novel mutations improves the diagnosis and care of persons with CF and improves our ability to adequately and equitably provide screening and genetic counseling services to non-Caucasians.

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73 Mutations Not Included in 87-Mutation Panel Nucleotide change-position Traditional nomenclature Approved nomenclature Protein Mutation/Effect Exon/ Intron Number of chromosomes 136 C>T c.4C>T p.Gln2Ter nonsense mutation 1 1 355 C>T c.223C>T p.Arg75Ter nonsense mutation 3 1 406-1G>A c.274-1G>A splice mutation/ truncation int 3 9 (1 sib) 424 C>T c.292C>T p.Gln98Ter nonsense mutation 4 1 425 A>G c.293A>G p.Gln98Arg missense mutation 4 2 663 del T c.531delT p.Ile177fs frameshift/ truncation 5 2 (sib) 727 C>T c.595C>T p.His199Tyr missense mutation 6a 5 (1 sib) Nucleotide change-position Traditional nomenclature Approved nomenclature Protein Mutation/Effect Exon/ Intron Number of chromosomes 745 C>T c.613C>T p.Pro205Ser missense mutation 6a 4 1248+1G>A c.1116+1G>A splice mutation/ truncation 7 2 (sib) 1461 ins AGAT c.1326_1327ins4 p.Asp443fs frameshift/ truncation 9 1 1529 C>G c.1397C>G p.Ser466Ter nonsense mutation 10 1 1607 C>T c.1475C>T p.Ser492Phe missense mutation 10 3 1924 del 7bp c.1792_1798del7 p.Lys598fs frameshift/ truncation 13 2 (sib) 2055 del 9bp to A c.1923_1931del9 insA p.Ser641fs frameshift/ truncation 13 2 (homo) 2105_2117 del 13bp insAGAAA c.1973_1985del 13insAGAAA p.Arg658fs frameshift/ truncation 13 3 2184 ins A c.2052dupA p.Gln685fs frameshift/ truncation 13 2 (twin) 3272-26A>G c.3140-26A>G splice mutation/ truncation int 17a 4 (3 rel) 3313 G>C c.3181G>C p.Gly1061Arg missense mutation 17b 1 3431 A>C c.3299A>C p.Gln1100Pro missense mutation 17b 1 3743 G>A c.3611G>A p.Trp1204Ter nonsense mutation 19 5 (1 sib, 1 homo) 4382 del A c.4250delA p.E1417fs frameshift/ truncation 24 1 Sib:1 sibling pair; homo:homozygote; 3 rel: 3 relatives. Login to comment

[hide] Comprehensive genetic analysis of the cystic fibro... Genet Med. 2006 Sep;8(9):557-62. Kammesheidt A, Kharrazi M, Graham S, Young S, Pearl M, Dunlop C, Keiles S
Comprehensive genetic analysis of the cystic fibrosis transmembrane conductance regulator from dried blood specimens--implications for newborn screening.
Genet Med. 2006 Sep;8(9):557-62., [PMID:16980811]

Abstract [show]
PURPOSE: In the United States, approximately 1/3,700 babies is born with cystic fibrosis each year. The >1,300 documented sequence variants pose a challenge for detection of cystic fibrosis through genetic screening. To investigate whether comprehensive characterization of the cystic fibrosis gene is feasible using dried newborn blood specimens, we modified the whole blood Ambry Test: CF and determined its sensitivity by testing DNA from individuals with cystic fibrosis who still had unknown mutations after commercial mutation panel testing. METHODS: DNA from 42 archived newborn dried blood specimens of affected Hispanic, African-American and Caucasian individuals in California was analyzed by temporal temperature gradient electrophoresis screening and targeted sequencing, and by gross deletion analysis. RESULTS: Excluding two specimens that could not be analyzed due to poor DNA quality, we report a 100% sensitivity and clinical detection rate in the remaining 40 patients. Eighty-three mutations representing 40 different variants were detected, including 8 novel mutations. CONCLUSIONS: This study demonstrates the feasibility of temporal temperature gradient electrophoresis-based full sequence analysis and targeted sequencing from DNA in newborn blood specimens. The Ambry Test: CF, as an additional step in cystic fibrosis newborn screening models, can be used to dramatically reduce the number of cystic fibrosis carrier sweat test referrals.

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73 Apart from delta F508, nine other mutations were present more than once in this data set, with several mutations occurring 4-5 times (1288insTA, 2055del9insA, 406-1GϾA, G542X and H199Y). Login to comment

[hide] Channel-lining residues in the M3 membrane-spannin... Biochemistry. 1998 Sep 1;37(35):12233-40. Akabas MH
Channel-lining residues in the M3 membrane-spanning segment of the cystic fibrosis transmembrane conductance regulator.
Biochemistry. 1998 Sep 1;37(35):12233-40., 1998-09-01 [PMID:9724537]

Abstract [show]
The cystic fibrosis transmembrane conductance regulator (CFTR) forms a chloride-selective channel. Residues from the 12 putative membrane-spanning segments form at least part of the channel lining. We need to identify the channel-lining residues in order to understand the structural basis for the channel's functional properties. Using the substituted-cysteine-accessibility method we mutated to cysteine, one at a time, 24 consecutive residues (Asp192-Ile215) in the M3 membrane-spanning segment. Cysteines substituted for His199, Phe200, Trp202, Ile203, Pro205, Gln207, Leu211, and Leu214 reacted with charged, sulfhydryl-specific reagents that are derivatives of methanethiosulfonate (MTS). We infer that these residues are on the water-accessible surface of the protein and probably form a portion of the channel lining. When plotted on an alpha-helical wheel the exposed residues from Gln207 to Leu214 lie within an arc of 60 degrees; the exposed residues in the cytoplasmic half (His199-Ile203) lie within an arc of 160 degrees. We infer that the secondary structures of the extracellular and cytoplasmic halves of M3 are alpha-helical and that Pro205, in the middle of the M3 segment, may bend the M3 segment, moving the cytoplasmic end of the segment in toward the central axis of the channel. The bend in the M3 segment may help to narrow the channel lumen near the cytoplasmic end. In addition, unlike full-length CFTR, the current induced by the deletion construct, Delta259, is inhibited by the MTS reagents, implying that the channel structure of Delta259 is different than the channel structure of wild-type CFTR.

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222 Several mutations of residues in and flanking the M3 membrane-spanning segment have been identified in patients with CF, including D192G, E193K, H199Y, P205S, and L206W (58, 60-63). 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] Frequency of the hyperactive W493R ENaC variant in... J Cyst Fibros. 2012 Jan;11(1):53-5. Epub 2011 Sep 13. Handschick M, Hedtfeld S, Tummler B
Frequency of the hyperactive W493R ENaC variant in carriers of a CFTR mutation.
J Cyst Fibros. 2012 Jan;11(1):53-5. Epub 2011 Sep 13., [PMID:21917531]

Abstract [show]
BACKGROUND: The basic defect of the autosomal recessive disorder cystic fibrosis (CF) manifests in chloride hyposecretion and sodium hyperabsorption. CF-like disease has been reported in a heterozygous carrier of F508del CFTR and the hyperactive variant p.W493R-SCNN1A of the epithelial sodium channel (ENaC). METHODS: The hypothesis that heterozygosity for p.W493R-SCNN1A and one loss-of-function CFTR mutation causes or predisposes to CF or CF-like disease was tested in 441 parents of a child with CF. RESULTS: p.W493R-SCNN1A was detected in three female carriers of F508del CFTR who did not show any symptoms of respiratory or intestinal disease that could be interpreted as the manifestation of CF or CFTR-related disorder. Frequency of p.W493R was lower in CF parents than in Caucasian control subjects. CONCLUSIONS: A hyperactive ENaC does not necessarily cause CF-like disease in a CF gene carrier, but its low frequency in CF parents suggests that it is a risk factor.

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53 A. Caucasians a F508del 378 2184delA 2 CFTRdele2,3(21 kb) 4 2789+5 G-A 1 R117H 1 I1005R 1 405+1 G-A 1 L1077P 1 H199Y 1 Y1092X 1 L206W 1 3601-111 G-C 1 R347P 3 3849+10 kb C-T 1 Q414X 1 3850-3 T-G 1 G551D 4 W1282X 1 R553X 8 N1303K 2 1717-1 G-A 1 4374+1 G-T 1 2143delT 1 Unknown 9 B. Turks K68N 1 1525-1 G-A 1 G85E 1 F508del 2 E92K 1 1677delTA 1 CFTRdele2(ins186) 2 2184delA 1 CFTRdele2,3(21 kb) 2 3601-2 A-G 1 435insA 1 Unknown 1 a The subjects were born in Austria (N=9 subjects), Belgium (2), France (4), Germany (374), Greece (4), Italy (12), The Netherlands (7), Poland (2), Spain (5), Sweden (2) and United Kingdom (5). 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] 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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98 Spectrum of CFTR Sequence Variants in 257 Hispanic Patients Who Underwent Diagnostic DNA Testing for CF Mutations in 257 patients Allele counts of each mutation % of variant alleles (183) % of all alleles tested (514) ACMG/ACOG recommended 25 mutation panel* DeltaF508 53 28.96 10.31 G542X 7 3.83 1.36 R334W 2 1.09 0.39 R553X 2 1.09 0.39 DeltaI507 1 0.55 0.19 1717 - 1 GϾA 1 0.55 0.19 3120 ϩ 1 GϾA 1 0.55 0.19 7 different mutations 67 36.61 13.04 All mutations included ACMG/ACOG 1248 ϩ 1 GϾA 1 0.55 0.19 1249 - 29delAT 1 0.55 0.19 1288insTA1288insTA 1 0.55 0.19 1341 ϩ 80 GϾA1341 ϩ 80 GϾA 1 0.55 0.19 1429del71429del7 1 0.55 0.19 1525 - 42 GϾA1525 - 42 GϾA 1 0.55 0.19 1717 - 1 GϾA 1 0.55 0.19 1717 - 8 GϾA 2 1.09 0.39 1811 ϩ 1 GϾA1811 ϩ 1 GϾA 1 0.55 0.19 2055del9-ϾA 3 1.64 0.58 2105-2117del13insAGAAA 1 0.55 0.19 2215insG 1 0.55 0.19 2585delT2585delT 1 0.55 0.19 2752 - 6 TϾC 1 0.55 0.19 296 ϩ 28 AϾG 1 0.55 0.19 3120 ϩ 1 GϾ A 1 0.55 0.19 3271 ϩ 8 AϾG3271 ϩ 8 AϾG 1 0.55 0.19 3271delGG 1 0.55 0.19 3272 - 26 AϾG 2 1.09 0.39 3876delA 2 1.09 0.39 4016insT 1 0.55 0.19 406 - 1 GϾA 6 3.28 1.17 406 - 6 TϾC 1 0.55 0.19 4374 ϩ 13 A ϾG 1 0.55 0.19 663delT 1 0.55 0.19 874insTACA874insTACA 1 0.55 0.19 A1009T 2 1.09 0.39 A559T 1 0.55 0.19 D1152H 1 0.55 0.19 D1270N 3 1.64 0.58 D1445N 2 1.09 0.39 D836Y 1 0.55 0.19 DeltaF311 1 0.55 0.19 DeltaF508 53 28.96 10.31 DeltaI507 1 0.55 0.19 E116K 2 1.09 0.39 E585X 1 0.55 0.19 E588VE588V 2 1.09 0.39 E831X 1 0.55 0.19 F311L 1 0.55 0.19 F693L 1 0.55 0.19 G1244E 1 0.55 0.19 G542X 7 3.83 1.36 G576A 1 0.55 0.19 H199Y 3 1.64 0.58 I1027T 3 1.64 0.58 I285FI285F 1 0.55 0.19 L206W 3 1.64 0.58 L320V 1 0.55 0.19 L967S 1 0.55 0.19 L997F 3 1.64 0.58 P1372LP1372L 1 0.55 0.19 P205S 1 0.55 0.19 P439SP439S 1 0.55 0.19 Q1313X 1 0.55 0.19 Q890X 2 1.09 0.39 Q98R 1 0.55 0.19 R1066C 1 0.55 0.19 R1066H 1 0.55 0.19 (Table continues) missense variant, I1027T (3212TϾC), in exon 17a.25 Family studies have not been performed to identify which allele carries two mutations. Login to comment
187 CFTR Sequence Variants Identified in Five Comprehensive CFTR Studies in US Hispanics CFTR mutations Alleles Relative mutation frequency (%) (of 317) deltaF508 123 38.80 3876delA 15 4.70 G542X 12 3.80 406 - 1GϾA 8 2.50 3849 ϩ 10kbCϾT 5 1.60 R75X 4 1.30 935delA 4 1.30 S549N 4 1.30 W1204X 4 1.30 R334W 4 1.30 2055del9ϾA 3 1 R74W 3 1 H199Y 3 1 L206W 3 1 663delT 3 1 3120 ϩ 1GϾA 3 1 L997F 3 1 I1027T 3 1 R1066C 3 1 W1089X 3 1 D1270N 3 1 2105del13insAGAAA 3 1 Q98R 2 Ͻ1 E116K 2 Ͻ1 I148T 2 Ͻ1 R668C 2 Ͻ1 P205S 2 Ͻ1 V232D 2 Ͻ1 S492F 2 Ͻ1 T501A 2 Ͻ1 1949del84 2 Ͻ1 Q890X 2 Ͻ1 3271delGG 2 Ͻ1 3272 - 26AϾG 2 Ͻ1 G1244E 2 Ͻ1 D1445N 2 Ͻ1 R553X 2 Ͻ1 E588V 2 Ͻ1 1717 - 8GϾA 2 Ͻ1 A1009T 2 Ͻ1 S1235R 2 Ͻ1 G85E 1 Ͻ1 296 ϩ 28AϾG 1 Ͻ1 406 - 6TϾC 1 Ͻ1 V11I 1 Ͻ1 Q179K 1 Ͻ1 V201 mol/L 1 Ͻ1 874insTACA 1 Ͻ1 I285F 1 Ͻ1 deltaF311 1 Ͻ1 F311L 1 Ͻ1 L320V 1 Ͻ1 T351S 1 Ͻ1 R352W 1 Ͻ1 1248 ϩ 1GϾA 1 Ͻ1 1249 - 29delAT 1 Ͻ1 1288insTA 1 Ͻ1 1341 ϩ 80GϾA 1 Ͻ1 1429del7 1 Ͻ1 1525 - 42GϾA 1 Ͻ1 P439S 1 Ͻ1 1717 - 1GϾA 1 Ͻ1 1811 ϩ 1GϾA 1 Ͻ1 deltaI507 1 Ͻ1 G551D 1 Ͻ1 A559T 1 Ͻ1 Y563N 1 Ͻ1 (Table continues) In this study, we used temporal temperature gradient gel electrophoresis (TTGE) and direct DNA sequencing to increase the sensitivity of mutation detection in U.S. Hispanics, and to determine whether additional mutations are recurrent. Login to comment
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] 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
108 g D44G, 300delA, W57X, 405+1G>A, D110H, E116K, 541del4, 542del7, L137R, 621+2T>G, I175V, H199R, H199Y, C225X, V232D, Q290X, E292X, G314V, T338I, 1221delCT, W401X, Q452P, I502T, 1716+2T>C, G544S, R560S, A561E, V562I, Y569D, 1898+3A>G, 1898+5G>A, G628R(G>A), 2143delT, G673X, R851X, Q890X, S977F, 3129del4, 3154delG, 3271+1G>A, G1061R, R1066L, R1070W, 3601-17T>C, S1196X, 3732delA, G1249R, 3898insC, 4374+1G>A, del25kb. 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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74 441delA, 557delT 711+1G>T, 711+3A>G H199Y, L206W 977insA R297Q 1078delT,R334W, 1154insTC, R347P W401X l46linsAGAT 1525- 1G>A, A1507, AI5071AF508. Login to comment

[hide] Haplotype analysis of 94 cystic fibrosis mutations... Hum Mutat. 1996;8(2):149-59. Morral N, Dork T, Llevadot R, Dziadek V, Mercier B, Ferec C, Costes B, Girodon E, Zielenski J, Tsui LC, Tummler B, Estivill X
Haplotype analysis of 94 cystic fibrosis mutations with seven polymorphic CFTR DNA markers.
Hum Mutat. 1996;8(2):149-59., [PMID:8844213]

Abstract [show]
We have analyzed 416 normal and 467 chromosomes carrying 94 different cystic fibrosis (CF) mutations with polymorphic genetic markers J44, IVS6aGATT, IVS8CA, T854, IVS17BTA, IVS17BCA, and TUB20. The number of mutations found with each haplotype is proportional to its frequency among normal chromosomes, suggesting that there is no preferential haplotype in which mutations arise and thus excluding possible selection for specific haplotypes. While many common mutations in the worldwide CF population showed absence of haplotype variation, indicating their recent origins, some mutations were associated with more than one haplotype. The most common CF mutations, delta F508, G542X, and N1303K, showed the highest number of slippage events at microsatellites, suggesting that they are the most ancient CF mutations. Recurrence was probably the case for 9 CF mutations (R117H, H199Y, R347YH, R347P, L558S, 2184insA, 3272-26A-->G, R1162X, and 3849 + 10kbC-->T). This analysis of 94 CF mutations should facilitate mutation screening and provides useful data for studies on population genetics of CF.

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No. Sentence Comment
91 Other mutations appeared in varioushaplotypes that were different at both microsatelliteand diallelic markers: R117H, H199Y, R347H, R347P, L558S, 2184insA, 3272-26A+G, R1162X, and 3849+10kbC-T (Table 4). Login to comment
105 CFTR Haplotypes for Diallelic and Multiallelic DNA Markers for 94 CF Mutations" J44-GATT- 8CA-17BTA- No. of T854-TUB20 17BCA Mutation chromosomes % Normal Laboratory Reference 2-7-1-2 17-47-13 (55.4%) 17-46-13 17-45-13 17-34-13 17-32-13 17-31-14 17-31-13 17-29-14 17-28-13 16-48-13 16-46-14 16-46-13 16-45-13 16-44-13 16-35-13 16-33-13 16-32-13 16-31-14 16-31-13 16-30-13 16-29-13 16-26-13 16-25-13 16-24-13 14-31-13 1-7-2-1 17-7-17 (16.8%) R334W R334W 3860ins31 G1244E R1162X R1162X R1162X G91R MllOlK R347P R334W R117C E92K 3849+lOkbC+T 3293delA 1811+1.6kb A-tG 1811+1.6kb A-tG 2184insA P205S 3659delC G673X 11005R I336K W58S R347P W846X 405+1-A G178R 3905insT R1162X R347H 3100insA E60X 1078delT 4005+1-A K710X 1677delTA H199Y 3601-2AjG 3850-3T+G 3272-26A-tG 3850-1-A 1812-1-A R117H L1059X S492F Y1092X Y569H 3732delA C866Y 711+1G+T 711+1-T G85E 1949del84 2789+5-A H1085R W1282X R1066C 2043delG V456F 2 1 1 1 2 1 6 2 2 1 2 1 1 2 1 1 4 1 1 1 3 2 1 1 1 1 1 1 2 7 1 1 1 1 2 1 1 3 19 3 3 1 1 2 1 1 5 1 1 1 1 3 6 3 5 1 13 2 1 1 - 0.48 0.48 - - - 0.24 - - - 2.65 2.40 1.93 2.65 1.68 2.65 0.72 13.94 13.46 1.93 - 0.72 0.24 3.37 - b b fP fP fP t b,fb.fP h fb t h t h h fP fP b.h b h h b h h h h h fb fb,fP.t fP fP fP9t fP b t fPh b h fb b.fb,h fb*fP b,fP h h t h fb fb,fp,h.t fP fP fb t b.fP,t b,fb,h,t b f b h h fb b,fb.fP,h fP h h Gasparini et al. (1991b) Chilldn et al. (1993a) Devoto et al. (1991) Gasparini et al. (1991b) Dork et al. (1993a) Guillermit et al. (1993) Zielenski et al. (1993) Dean et al. (1990) Dork et al. (1994a) Nunes et al. (1993) Highsmith et al. (1994) Ghanem et al. (1994) Chilldn et al. (1995) Dork et al. (1994a) Dork et al. (1993a) Chilldn et al. (1993b) Kerem et al. (1990) Dork et al. (1994a) Dork et al. (1994a) Cuppenset al. (1993) Fanen et al. (1992) Maggio et al. (personal communication) Audrezet et al. (1993) Vidaud et al. (1990) Dork et al. (1993b) Zielenski et al. (1991a) Chilldn et al. (1994b) Malik et al. (personal communication) Cremonesi et at. Login to comment
106 (1992) Dork et al. (1994a) Malone et al. (personal communication) Claustreset al. (1992) Ferec et al. (1992) Fanen et al. (1992) lvaschenko et al. (1991) T. Dork (personal communication) Dean et al. (1990) Dork et al. (1994a) Ferec et al. (1992) Bozon et al. (1994) Costes et al. (personal communication) Fanen et al. (1992) Audrezet et al. (personal communication) Zielenski et al. (1991a) Zielenski et al. (1991a) Granell et al. (1992) Highsmith et al. (1990) Mercier et al. (1993b) Vidaud et al. (1990) Fanen et al. (1992) Fanen et al. (1992) Dork et al. (1994b) (continued) HAPLOTYPESFOR 94 CF MUTATIONS TABLE2. CFTR HaplotvpesforDiallelic and Multiallelic DNA Markers for 94 CF Mutations"(Continued) ~~ ~ J44-GAIT- 8CA-17BTA- No. of TSU-TUB20 17BCA Mutation chromosomes % Normal Laboratory Reference 1-6-1-2 (9.1%) 1-6-2-2 (8.9%) 1-7-1-2 (3.4%) 1-7-2-2 (2.6%) 2-7-1-1 (1.2%) 2-7-2-2 (0.7%) 17-7-16 16-7-18 16-7-17 15-7-17 24-31-13 23-52-13 23-34-13 23-33-14 23-33-13 23-32-13 23-31-13 23-30-13 23-21-19 23-18-13 22-35-13 22-31-13 22-30-13 21-31-13 19-33-13 18-45-13 18-37-13 18-35-13 17-57-11 17-55-13 17-55-11 17-54-11 17-53-11 17-52-11 17-51-11 17-33-13 16-46-13 16-45-13 16-44-13 16-42-13 16-35-13 16-30-13 16-30-13 16-7-17 16-21-19 L107% L1077P 24ldelAT L719X A1507 3849+10kbC-T 2184insA 2991de132 G551D 1154insTC V520F R560T 4114ATA+lT 3667de14 435insA Q414X C225R Q39X N1303K R1162X H199Y G542X G542X w1204x R347H G542X AF50gb N1303K 2143delT 3849f 10kbC-T N1303K 681delC R347H A455E N1303K A120T 621+1 h T 574delA 1221delCT F311L R560K R553X R533X R553X Q552X R553X Q552X R116W R553X 1898+5 h T 3272-26A-G 1717-1hA 1342-2A-C A1507 2869insG 2869insG E92X 4374+1 h T 2183AA-G R117H 1609delCA I336K W1063X 1 1 1 1 6 1 3 1 1 22 17 1 1 1 1 1 1 1 1 1 1 1 1 1 17 1 1 4 157 7 1 2 2 1 1 2 2 1 9 1 1 1 1 1 1 6 1 1 1 2 1 3 2 1 3 1 1 1 4 2 4 1 1 - - 10.33 1.45 - - 0.48 1.45 - 0.24 1.45 0.24 - - - - 0.24 0.48 - - - - - - 0.49 0.48 - 0.24 0.24 0.24 - - - - - 0.72 0.24 0.72 - t h fP h b.fb,fP h b,fp.t t h b.fb.fp,h,t b.fb.fp,h,t t t t h b h h fP h fP fb b fP b.fb,fP,h.t fP fb b,fP,t b.fb,fp,h,t b.fb,h h h h,t t fb t b b b.fb.t fP fb fb tb h fP h h t t b h t h b b h h b,fb,h fP.h b h fP fP Bozon et al. (1994) Fanen et al. (1992) Dork et al. (1994a) Kerem et al. (1990) Dork et al. (1994~) Cutting et al. (1990) Kerem et al. (1990) lannuui et d. Login to comment
138 Nine mutations (R117H, H199Y, R347H, R347P, L558S, 2184insA, 3272-26A+G, R1162X, and 3849+10kbC+T) have been found associated with more than one haplotype for both diallelic and microsatellite markers. Login to comment

[hide] Cystic fibrosis: genotypic and phenotypic variatio... Annu Rev Genet. 1995;29:777-807. Zielenski J, Tsui LC
Cystic fibrosis: genotypic and phenotypic variations.
Annu Rev Genet. 1995;29:777-807., [PMID:8825494]

Abstract [show]
Cystic fibrosis (CF) is a common genetic disorder in the Caucasian population. The gene was identified in 1989 on the basis of its map location on chromosome 7. The encoded gene product, named cystic fibrosis transmembrane conductance regulator (CFTR), corresponds to a cAMP-regulated chloride channel found almost exclusively in the secretory epithelial cells. Although the major mutation that results in a single amino acid deletion (F508) accounts for 70% of the disease alleles, more than 550 additional mutant alleles of different forms have been detected. Many of these mutations can be divided into five general classes in terms of their demonstrated or presumed molecular consequences. In addition, a good correlation has been found between CFTR genotype and one of the clinical variables--pancreatic function status. An unexpected finding, however, is the documentation of CFTR mutations in patients with atypical CF disease presentations, including congenital absence of vas deferens and several pulmonary diseases. Thus, the implication of CFTR mutation is more profound than CF alone.

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574 On the other hand, many mutations (R117H, H199Y, R334W, R347P, R553X; L558S, 3272-26A�G, 3849+lOkbC�T, R1162X) are found associated with two or three haplotypes that cannot be possibly derived from each other by simple molecular mechanisms (58, 124). Login to comment

[hide] Independent origins of cystic fibrosis mutations R... Am J Hum Genet. 1994 Nov;55(5):890-8. Morral N, Llevadot R, Casals T, Gasparini P, Macek M Jr, Dork T, Estivill X
Independent origins of cystic fibrosis mutations R334W, R347P, R1162X, and 3849 + 10kbC-->T provide evidence of mutation recurrence in the CFTR gene.
Am J Hum Genet. 1994 Nov;55(5):890-8., [PMID:7526685]

Abstract [show]
Microsatellite analysis of chromosomes carrying particular cystic fibrosis mutations has shown different haplotypes in four cases: R334W, R347P, R1162X, and 3849 + 10kbC-->T. To investigate the possibility of recurrence of these mutations, analysis of intra- and extragenic markers flanking these mutations has been performed. Recurrence is the most plausible explanation, as it becomes necessary to postulate either double recombinations or single recombinations in conjunction with slippage at one or more microsatellite loci, to explain the combination of mutations and microsatellites if the mutations arose only once. Also in support of recurrence, mutations R334W, R347P, R1162X, and 3849 + 10kbC-->T involve CpG dinucleotides, which are known to have an increased mutation rate. Although only 15.7% of point mutations in the coding sequence of CFTR have occurred at CpG dinucleotides, approximately half of these CpG sites have mutated at least once. Specific nucleotide positions of the coding region of CFTR, distinct from CpG sequences, also seem to have a higher mutation rate, and so it is possible that the mutations observed are recurrent. G-->A transitions are the most common change found in those positions involved in more than one mutational event in CFTR.

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144 A collaborative study involving the analysis of 94 mutations in the CFTR gene has shown that mutations R117H, H199Y, R347H, R347P, L558S, 2184insA, R1162X, 3272-26A--G, and 3849+10kbC-)T have arisen more than once in different genetic backgrounds (authors' unpublished data). Login to comment
145 A collaborative study involving the analysis of 94 mutations in the CFTR gene has shown that mutations R117H, H199Y, R347H, R347P, L558S, 2184insA, R1162X, 3272-26A--G, and 3849+10kbC-)T have arisen more than once in different genetic backgrounds (authors' unpublished data). Login to comment

[hide] Detection of more than 50 different CFTR mutations... Hum Genet. 1994 Nov;94(5):533-42. Dork T, Mekus F, Schmidt K, Bosshammer J, Fislage R, Heuer T, Dziadek V, Neumann T, Kalin N, Wulbrand U, et al.
Detection of more than 50 different CFTR mutations in a large group of German cystic fibrosis patients.
Hum Genet. 1994 Nov;94(5):533-42., [PMID:7525450]

Abstract [show]
We have conducted a comprehensive study of the molecular basis of cystic fibrosis (CF) in 350 German CF patients. A screening approach based on single-strand conformation analysis and direct sequencing of genomic polymerase chain reaction products has allowed us to detect the molecular defects on 95.4% of the CF chromosomes within the coding region and splice sites of the cystic fibrosis transmembrane conductance regulator (CFTR) gene. The spectrum of sequence changes comprises 54 different mutations, including 17 missense mutations, 14 nonsense mutations, 11 frameshift mutations, 10 splice site variants and two amino acid deletions. Eleven of these mutations have not previously been described. Our results reflect the marked mutational heterogeneity of CF in a large sample of patients from a non-isolated population.

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77 Table 1 Frequency distribution and haplotypes of CFTR mutations in 700 German CF chromosomes Mutation~ Nucleotide changesb Locationc Frequencyd Haplotype~ Referencef Q39x C--~T at 247 Exon 2 1 (0.1%) D3 Cutting et al. (1992) E60X G-+T at 310 Exon 3 1 (0.1%) A2 Malone et al. (*) R75X C--+T at 355 Exon 3 1 (0.1%) C2 This study 405+1 G---~A G-+A at 405+1 Intron 3 1 (0.1%) C2 D6rk et al. (1993c) E92X G--~T at 406 Exon 4 2 (0.3%) B2 Will et al. (1994) R117C C---~Tat 481 Exon 4 1 (0.1%) C2 This study R117H G--+A at 482 Exon 4 2 (0.3%) B6 Dean et al. (1990) 621+1 G--+T G--+T at 621+1 Intron 4 1 (0.1%) B1 Zielenski et al. (1991b) H199Y C--+T at 727 Exon 6a 1 (0.1%) A2 This study (*) 1078delT Deletion of T at 1078 Exon 7 4 (0.6%) C2 Claustres et al. (1992) R334W C-~T at 1132 Exon 7 2 (0.3%) BI Gasparini et al. (1991) 1336K T-->A at 1139 Exon 7 3 (0.4%) A2 Cuppens et al. (1993) R347P G--+C at 1172 Exon 7 11 (1.6%) A2, C2 Dean et al. (1990) 1342-2 A--+C A--+C at 1342-2 Intron 8 3 (0.4%) A4 D/3rk et al. (1993b) Q414X C--+T at 1372 Exon 9 1 (0.1%) D3 D6rk et al. (1994a) A455E C-+A at 1496 Exon 9 1 (0.1%) BI Kerem et al. (1990) V456F G--~T at 1498 Exon 9 1 (0.1%) B3 D6rk et al. (1994a) A1507 Deletion of 3 bp between 1648-1653 Exon 10 1 (0.1%) D5 Kerem et al. (1990) AF508 Deletion of 3 bp between 1652-1655 Exon 10 504 (72.0%) B1, DI, B7 Kerem et al. (1989) 1717-1 G--+A G--+A at 1717-1 lntron 10 6 (0.9%) B3 Kerem et al. (1990) G542X G--+T at 1756 Exon 11 10 (1.4%) B1 Kerem et al. (1990) G551D G--+A at 1784 Exon 11 7 (l.0%) B3 Cutting et al. (1990) Q552X C-+T at 1786 Exon 11 1 (0.1%) A4 Devoto et al. (1991) R553X C--+T at 1789 Exon 11 16 (2.3%) A4, B4, D3 Cutting et al. (1990) L558S T--+C at 1805 Exon 11 1 (0.1%) C2 Maggio et al. (*) 1811+I.6kBA-+G A--+Gat 1811+l.6kB lntron 11 1 (0.1%) A2 Chillonetal. Login to comment
79 Minor haplotypes are indicated in italics f The following mutations (*) were reported to the Cystic Fibrosis Genetic Analysis Consortium as personal communications: E60X by G. Malone, M. Schwartz and M. Super; H199Y by T.DOrk and B.Tttmmler (in preparation); L558S by M. Maggio, M.Goossens and P. Fanen; 1811+1.6 kB A--+G by M.Chillon, T. D6rk, V. Nunes, T.Casals and X.Estivill; 1833delT by M.Schwartz, A.L. Palle and G. V. Christensen; 2789+5 G----~Aby W. E. Highsmith Jr., T.Strong, L. Burch, L.M.Silverman, F.S.Collins, R.C. Boucher and M.R. Knowles; 3849+10 kB C-+T by W.E. Highsmith Jr., L. Butch, T. Login to comment

[hide] Sensitivity of single-strand conformation polymorp... Hum Mol Genet. 1994 May;3(5):801-7. Ravnik-Glavac M, Glavac D, Dean M
Sensitivity of single-strand conformation polymorphism and heteroduplex method for mutation detection in the cystic fibrosis gene.
Hum Mol Genet. 1994 May;3(5):801-7., [PMID:7521710]

Abstract [show]
The gene responsible for cystic fibrosis (CF) contains 27 coding exons and more than 300 independent mutations have been identified. An efficient and optimized strategy is required to identify additional mutations and/or to screen patient samples for the presence of known mutations. We have tested several different conditions for performing single-stranded conformation polymorphism (SSCP) analysis in order to determine the efficiency of the method and to identify the optimum conditions for mutation detection. Each exon and corresponding exon boundaries were amplified. A panel of 134 known CF mutations were used to test the efficiency of detection of mutations. The SSCP conditions were varied by altering the percentage and cross-linking of the acrylamide, employing MDE (an acrylamide substitute), and by adding sucrose and glycerol. The presence of heteroduplexes could be detected on most gels and in some cases contributed to the ability to distinguish certain mutations. Each analysis condition detected 75-98% of the mutations, and all of the mutations could be detected by at least one condition. Therefore, an optimized SSCP analysis can be used to efficiently screen for mutations in a large gene.

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120 Exon 1: S4X (24), 186-13C-G (F£rec et al., pers. comm.); Exon 2: G27X (Shacldeton and Harris, pers. comm.), Q30X (Chilldn aal., pers. comm.), R31L (Zielenski et al., pers. comm.), Q39X (25); Exon 3: 300delA (Malone et al., pers. comm.), W57G (Ferrari et al., pers. comm.), W57X (26), E60X (Malone et al., pers. comm.), R74W (Claustres et al., pers. comm.), R75Q (27), G85E (28), 394delTT (Claustres et al., pers. comm.), L88X (Maceketal., pers. comm.), L88S (Malone et al., pers. comm.), 405 + 1G-A (Dork and Tummler, pers. comm.); Exon 4: E92K (Chillon et al., pers. comm.), E92X (D6rk a al., pers. comm.), P99L (Schwartz and Holmberg, pers. comm.), 441delA (Zielenski et al., pers. comm.), 444delA (29), 457TAT-C- (F£rec et al., pers. comm., (21), Dl 10H (14), Rl 17C (D6rk et al., pers. comm.), Rl 17H (14), A120T (Chillon et al., pers. comm.), 541delC (30), 556delA (28), I148T (Rininsland et al., pers. comm.), Q151X (Shacldeton et al., pers. comm.), 621 + 1C-T (28), 622-2A-C (31); Exon5:G178R (28), 681delC (Zielenski a al., pers. comm.), 711 + 1G-T (28); Exon 6a: H199Y (Dork and Tummler, pers. comm.), H199Q (Dean etal., pers. comm.), L206W (Claustres et al., pers. comm.), Q220X (Shacldeton and Harris, pers. comm., Schwartz and Holmberg, pers. comm.), 852del22 (32); Exon 6b: 977insA (33); Exon7:F311L(34). Login to comment

[hide] Analysis of the CFTR gene confirms the high geneti... Hum Genet. 1994 Apr;93(4):447-51. Chillon M, Casals T, Gimenez J, Ramos MD, Palacio A, Morral N, Estivill X, Nunes V
Analysis of the CFTR gene confirms the high genetic heterogeneity of the Spanish population: 43 mutations account for only 78% of CF chromosomes.
Hum Genet. 1994 Apr;93(4):447-51., [PMID:7513293]

Abstract [show]
We have analysed 972 unrelated Spanish cystic fibrosis patients for 70 known mutations. Analysis was performed on exons 1, 2, 3, 4, 5, 6a, 6b, 7, 10, 11, 12, 13, 14a, 14b, 15, 16, 17b, 18, 19, 20 and 21 of the cystic fibrosis transmembrane regulator gene using single strand conformation polymorphism analysis and denaturing gradient gel electrophoresis. The major mutation delta F508 accounts for 50.6% of CF chromosomes, whereas another 42 mutations account for 27.6% of CF chromosomes, with 21.8% of Spanish CF chromosomes remaining uncharacterized. At present, we have identified 36 mutations that have frequency of less than 1% and that are spread over 15 different exons. This indicates that, in the Spanish population, with the exception of delta F508 (50.6%) and G542X (8%), the mutations are not concentrated in a few exons of the gene nor are there any predominating mutations. This high degree of genetic heterogeneity is mainly a result of the different ethnic groups that have populated Spain and of the maintenance of separated population sets (Basques, Arab-Andalusian, Mediterranean, Canarian and Gallician). The high proportion of CF chromosomes still unidentified (21.8%) together with association analysis with intragenic markers suggest that at least 100 different mutations causing CF are present in our population.

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41 A Exon 13 4 0.41 621-1 G--~T Intron 4 3 0.31 P205S Exon 6a 3 0.31 936 del TA Exon 6b 3 0.31 1949 del 84 Exon 13 3 0.31 K710X Exon 13 3 0.31 CF del #1 Exon 4-7/11-18 3 0.31 L206W Exon 6a 2 0.20 R347H Exon 7 2 0.20 Y1092X Exon 17b 2 0.20 Q1100P Exon 17b 2 0.20 Q30X Exon 2 1 0.10 E92K Exon 4 1 0.10 A120T Exon 4 1 0.10 I148T Exon 4 1 0.10 H199Y Exon 6a 1 0.10 1078 del T Exon 7 1 0.10 1717-1 G--+A Intron 10 1 0.10 T582R Exon 12 1 0.10 E585X Exon 12 1 0.10 1898+3 A~---G Intron 12 1 0.10 W1098X Exon 17b 1 0.10 R1158X Exon 19 1 0.10 3667 del 4 Exon 19 1 0.10 3860 ins 31 Exon 20 1 0.10 3905 ins T Exon 20 1 0.10 Unknown 212 21.81 The Basque subset The Basques have a different genetic background with respect to other ethnic groups (Pancorbo et al. 1989) as they are the only pre-Indoeuropean group in Spain. 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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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] Novel CFTR variants identified during the first 3 ... J Mol Diagn. 2013 Sep;15(5):710-22. doi: 10.1016/j.jmoldx.2013.05.006. Epub 2013 Jun 28. Prach L, Koepke R, Kharrazi M, Keiles S, Salinas DB, Reyes MC, Pian M, Opsimos H, Otsuka KN, Hardy KA, Milla CE, Zirbes JM, Chipps B, O'Bra S, Saeed MM, Sudhakar R, Lehto S, Nielson D, Shay GF, Seastrand M, Jhawar S, Nickerson B, Landon C, Thompson A, Nussbaum E, Chin T, Wojtczak H
Novel CFTR variants identified during the first 3 years of cystic fibrosis newborn screening in California.
J Mol Diagn. 2013 Sep;15(5):710-22. doi: 10.1016/j.jmoldx.2013.05.006. Epub 2013 Jun 28., [PMID:23810505]

Abstract [show]
California uses a unique method to screen newborns for cystic fibrosis (CF) that includes gene scanning and DNA sequencing after only one California-40 cystic fibrosis transmembrane conductance regulator (CFTR) panel mutation has been identified in hypertrypsinogenemic specimens. Newborns found by sequencing to have one or more additional mutations or variants (including novel variants) in the CFTR gene are systematically followed, allowing for prospective assessment of the pathogenic potential of these variants. During the first 3 years of screening, 55 novel variants were identified. Six of these novel variants were discovered in five screen-negative participants and three were identified in multiple unrelated participants. Ten novel variants (c.2554_2555insT, p.F1107L, c.-152G>C, p.L323P, p.L32M, c.2883_2886dupGTCA, c.2349_2350insT, p.K114del, c.-602A>T, and c.2822delT) were associated with a CF phenotype (42% of participants were diagnosed at 4 to 25 months of age), whereas 26 were associated with CFTR-related metabolic syndrome to date. Associations with the remaining novel variants were confounded by the presence of other diseases or other mutations in cis or by inadequate follow-up. These findings have implications for how CF newborn screening and follow-up is conducted and will help guide which genotypes should, and which should not, be considered screen positive for CF in California and elsewhere.

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26 Newborns were screened using the California method, which includes i) analysis of serum immunoreactive trypsinogen (IRT) levels using the AutoDELFIA neonatal IRT L kit (PerkinElmer, Waltham, MA) in all newborn blood spot specimens, ii) CFTR mutation panel [29-40 mutations (the mutations on the California panel were selected for the most part according to allelic frequencies found in a comprehensively genotyped group of California CF cases to achieve a 95% race/ethnicity-specific rate of CF case detection in black, white, and Hispanic individuals in California and include c.1585-1G>A, c.1680-1G>A, c.1973-1985del13insAGAAA, c.2175_2176insA, c.164 &#fe; 2T>A (removed on August 12, 2008), c.2988 &#fe; 1G>A, c.3717 &#fe; 12191C>T, c.3744delA, c.274-1G>A, c.489 &#fe; 1G>T, c.579 &#fe; 1G>T, p.A559T, p.F311del, p.F508del, p.I507del, p.G542X, p.G551D, p.G85E, p.H199Y, p.N1303K, p.R1066C, p.R1162X, p.R334W, p.R553X, p.S549N, p.W1089X, p.W1204X (c.3611G>A), p.W1282X, c.1153_1154insAT [added October 4, 2007], c.1923_1931del9insA, c.3140-26A>G, c.531delT, c.803delA, c.54-5940_273 &#fe; 10250del21kb, p.P205S, p.Q98R, p.R75X, p.S492F [added December 12, 2007], c.3659delC, p.G330X, p.W1204X [c.3612G>A] [added August 12, 2008] [Signature CF 2.0 ASR; Asuragen Inc., Austin, TX])] testing of specimens with IRT 62 ng/mL (highest 1.5%), iii) CFTR gene scanning and sequence analysis (Ambry Test: CF; Ambry Genetics, Aliso Viejo, CA) for specimens found to have only one mutation after CFTR mutation panel testing, and iv) referral to 1 of 15 pediatric CF care centers (CFCs) for sweat chloride (SC) testing and follow-up of all newborns with either two CFTR mutations detected during panel testing or one CFTR mutation detected during panel testing and one (or more) additional CFTR mutation and/or variant detected during sequencing. Login to comment

[hide] Defining the disease liability of variants in the ... Nat Genet. 2013 Oct;45(10):1160-7. doi: 10.1038/ng.2745. Epub 2013 Aug 25. Sosnay PR, Siklosi KR, Van Goor F, Kaniecki K, Yu H, Sharma N, Ramalho AS, Amaral MD, Dorfman R, Zielenski J, Masica DL, Karchin R, Millen L, Thomas PJ, Patrinos GP, Corey M, Lewis MH, Rommens JM, Castellani C, Penland CM, Cutting GR
Defining the disease liability of variants in the cystic fibrosis transmembrane conductance regulator gene.
Nat Genet. 2013 Oct;45(10):1160-7. doi: 10.1038/ng.2745. Epub 2013 Aug 25., [PMID:23974870]

Abstract [show]
Allelic heterogeneity in disease-causing genes presents a substantial challenge to the translation of genomic variation into clinical practice. Few of the almost 2,000 variants in the cystic fibrosis transmembrane conductance regulator gene CFTR have empirical evidence that they cause cystic fibrosis. To address this gap, we collected both genotype and phenotype data for 39,696 individuals with cystic fibrosis in registries and clinics in North America and Europe. In these individuals, 159 CFTR variants had an allele frequency of l0.01%. These variants were evaluated for both clinical severity and functional consequence, with 127 (80%) meeting both clinical and functional criteria consistent with disease. Assessment of disease penetrance in 2,188 fathers of individuals with cystic fibrosis enabled assignment of 12 of the remaining 32 variants as neutral, whereas the other 20 variants remained of indeterminate effect. This study illustrates that sourcing data directly from well-phenotyped subjects can address the gap in our ability to interpret clinically relevant genomic variation.

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118 Of the four variants for which we did not measure chloride conduction, one (p.His199Tyr) exhibited a severe processing defect in HeLa cells (<0.01) and was categorized as functionally deficient (Fig. 3). 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] Full-open and closed CFTR channels, with lateral t... Cell Mol Life Sci. 2015 Apr;72(7):1377-403. doi: 10.1007/s00018-014-1749-2. Epub 2014 Oct 7. Mornon JP, Hoffmann B, Jonic S, Lehn P, Callebaut I
Full-open and closed CFTR channels, with lateral tunnels from the cytoplasm and an alternative position of the F508 region, as revealed by molecular dynamics.
Cell Mol Life Sci. 2015 Apr;72(7):1377-403. doi: 10.1007/s00018-014-1749-2. Epub 2014 Oct 7., [PMID:25287046]

Abstract [show]
In absence of experimental 3D structures, several homology models, based on ABC exporter 3D structures, have provided significant insights into the molecular mechanisms underlying the function of the cystic fibrosis transmembrane conductance regulator (CFTR) protein, a chloride channel whose defects are associated with cystic fibrosis (CF). Until now, these models, however, did not furnished much insights into the continuous way that ions could follow from the cytosol to the extracellular milieu in the open form of the channel. Here, we have built a refined model of CFTR, based on the outward-facing Sav1866 experimental 3D structure and integrating the evolutionary and structural information available today. Molecular dynamics simulations revealed significant conformational changes, resulting in a full-open channel, accessible from the cytosol through lateral tunnels displayed in the long intracellular loops (ICLs). At the same time, the region of nucleotide-binding domain 1 in contact with one of the ICLs and carrying amino acid F508, the deletion of which is the most common CF-causing mutation, was found to adopt an alternative but stable position. Then, in a second step, this first stable full-open conformation evolved toward another stable state, in which only a limited displacement of the upper part of the transmembrane helices leads to a closure of the channel, in a conformation very close to that adopted by the Atm1 ABC exporter, in an inward-facing conformation. These models, supported by experimental data, provide significant new insights into the CFTR structure-function relationships and into the possible impact of CF-causing mutations.

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348 In addition, L206W and H199Y are situated nearby P205S, orientated toward the lipid bilayer. 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
84 In addition, CFTR panels being used have insufficient mutations to allow the detection of minority populations with uncommon CF-causing mutations that can cause inequities in NBS, such as M1101K (c.3302T>A), more commonly found in Hutterite populations,26 and H199Y (c.595C>T) and S492F (c.1475C>T), more commonly found in Hispanic populations. 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

[hide] Newborn Screening for Cystic Fibrosis in Californi... Pediatrics. 2015 Dec;136(6):1062-72. doi: 10.1542/peds.2015-0811. Epub 2015 Nov 16. Kharrazi M, Yang J, Bishop T, Lessing S, Young S, Graham S, Pearl M, Chow H, Ho T, Currier R, Gaffney L, Feuchtbaum L
Newborn Screening for Cystic Fibrosis in California.
Pediatrics. 2015 Dec;136(6):1062-72. doi: 10.1542/peds.2015-0811. Epub 2015 Nov 16., [PMID:26574590]

Abstract [show]
OBJECTIVES: This article describes the methods used and the program performance results for the first 5 years of newborn screening for cystic fibrosis (CF) in California. METHODS: From July 16, 2007, to June 30, 2012, a total of 2 573 293 newborns were screened for CF by using a 3-step model: (1) measuring immunoreactive trypsinogen in all dried blood spot specimens; (2) testing 28 to 40 selected cystic fibrosis transmembrane conductance regulator (CFTR) mutations in specimens with immunoreactive trypsinogen values >/=62 ng/mL (top 1.6%); and (3) performing DNA sequencing on specimens found to have only 1 mutation in step 2. Infants with >/=2 mutations/variants were referred to CF care centers for diagnostic evaluation and follow-up. Infants with 1 mutation were considered carriers and their parents offered telephone genetic counseling. RESULTS: Overall, 345 CF cases, 533 CFTR-related metabolic syndrome cases, and 1617 carriers were detected; 28 cases of CF were missed. Of the 345 CF cases, 20 (5.8%) infants were initially assessed as having CFTR-related metabolic syndrome, and their CF diagnosis occurred after age 6 months (median follow-up: 4.5 years). Program sensitivity was 92%, and the positive predictive value was 34%. CF prevalence was 1 in 6899 births. A total of 303 CFTR mutations were identified, including 78 novel variants. The median age at referral to a CF care center was 34 days (18 and 37 days for step 2 and 3 screening test-positive infants, respectively). CONCLUSIONS: The 3-step model had high detection and low false-positive levels in this diverse population.

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77 July 16, 2007 c.164+2T.A (296+2T.A) 28 c.254G.A (G85E) c.274-1G.A (406-1G.A) c.489+1G.T (621+1G.T) c.579+1G.T (711+1G.T) c.595C.T (H199Y) c.933_935delCTT (F311del) c.1000C.T (R334W) c.1519_1521delATC (I507del) c.1521_1523delCTT (F508del) c.1585-1G.A (1717-1G.A) c.1624G.T (G5423) c.1646G.A (S549N) c.1652G.A (G551D) c.1657C.T (R5533) c.1675G.A (A559T) c.1680-1G.A (1812-1G.A) c.1973-1985del13insAGAAA (2105-2117del13insAGAAA) c.2175_2176insA (2307insA) c.2988+1G.A (3120+1G.A) c.3196C.T (R1066C) c.3266G.A (W10893) c.3485G.T (R11623) c.3611G.A (W12043 [3743G.A]) c.3717+12191C.T (3849+10kbC.T) c.3744delA (3876delA) c.3846G.A (W12823) c.3909C.G (N1303K) October 4, 2007 c.1153_1154insAT (1288insTA) 29 December 12, 2007 c.54-5940_273+10250del21kb (CFTRdele2,3(21kb)) 38 c.531delT (663delT) c.613C.T (P205S) c.803delA (935delA) c.1475C.T (S492F) c.1923_1931del9insA (2055del9.A) c.223C.T (R753) c.293A.G (Q98R) c.3140-26A.G (3272-26A.G) August 12, 2008 c.988G.T (G3303) 40 c.3612G.A (W12043 [3744G.A]) c.3659delC (3791delC) c.164+2T.A (296+2T.A), removed cDNA, complementary DNA. Login to comment