ABCMdb

ABCC7 p.Gln1313*

ClinVar:

CF databases:

c.3937C>T , p.Gln1313* D , CF-causing
c.3937C>A , p.Gln1313Lys (CFTR1) ? , The above mutation was detected by DGGE analysis and identified by direct DNA sequencing. The mutation was found on the same chromosome carrying [delta]F508. The substitution was found once, in a family referred by the West Midland Regional Genetics Service. This mutation was also found in a CF patient from France Bienvenu T, Bousquet S, Beldjord C (Groupe Hospitalier Cochin, Paris, France, June 18, 98). The mutation is not found in 100 other non-deltaF508 chromosomes and 200 non CF chromosomes tested. This patient who carries this mutation has the deltaF508 on his other chromosome. The patient presents a moderate form of CF with pancreatic insufficiency. A nonsense mutation Q1313X located in the same codon was reported by Audrezet et al.

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[hide] Distribution of CFTR mutations in Saguenay- Lac-Sa... Genet Med. 2008 Mar;10(3):201-6. Madore AM, Prevost C, Dorfman R, Taylor C, Durie P, Zielenski J, Laprise C
Distribution of CFTR mutations in Saguenay- Lac-Saint-Jean: proposal of a panel of mutations for population screening.
Genet Med. 2008 Mar;10(3):201-6., [PMID:18344710]

Abstract [show]
PURPOSE: Saguenay-Lac-Saint-Jean is a region located in the northeastern part of the Province of Quebec, Canada, and is characterized by a founder effect. In this region, it has been documented that the incidence of cystic fibrosis reached 1/902 live births between 1975 and 1988, three times higher than the average incidence of 1/2500 live births reported in other Caucasian populations. This corresponds to a carrier rate of 1/15. METHODS: Using genotyping data from the Canadian Consortium for Cystic Fibrosis Genetic Studies, this article describes the cystic fibrosis transmembrane conductance regulator profile of the cystic fibrosis population living in the Saguenay-Lac-Saint-Jean region and compares it with cystic fibrosis populations living in three other regions of the Province of Quebec. RESULTS: Significant differences in allelic frequencies of common mutations (as DeltaF508, 621 + 1G>T and A455E), and in percentage of covered allele with three or six mutations, were found in Saguenay-Lac-Saint-Jean compared to other regions. Based on this result, two mutation panels exceeding 90% sensitivity threshold are now proposed for cystic fibrosis carrier screening in this region. CONCLUSION: The implementation of the proposed carrier screening program could diminish the incidence of this disease in this region and allow future parents to make informed decisions about family planning.

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48 Altogether, the six mutations represent 95.89% of the CFTR allele of CF patients in the SLSJ population, whereas the proportions are 86.85, 85.27, and Table 2 Cystic fibrosis mutations present in the four populations studied Mutationa Allelic frequency (number of alleles [%]) Populationb 1 2 3 4 „F508 106 (62.35) 55 (72.37) 398 (72.36) 67 (57.78) 621 ؉ 1G>T 42 (24.71) 6 (7.89) 30 (5.45) 1 (0.85) A455E 12 (7.06) 2 (2.63) 14 (2.55) 1 (0.85) 3199del6 1 (0.59) 1 (1.32) 7 (1.27) 1 (0.85) 711 ؉ 1G>T 1 (0.59) 1 (1.32) 15 (2.73) 1 (0.85) Y1092X 1 (0.59) 1 (1.32) 5 (0.91) 0 R117C 2 (1.18) 0 0 0 ‚I507 1 (0.59) 2 (2.63) 10 (1.82) 0 L206W 1 (0.59) 1 (1.32) 9 (1.64) 0 R1158X 1 (0.59) 0 0 0 S489X 1 (0.59) 0 1 (0.18) 0 R553X 0 2 (2.63) 2 (0.36) 0 R334W 0 1 (1.32) 2 (0.36) 0 G542X 0 0 10 (1.82) 0 G85E 0 0 6 (1.09) 5 (4.24) N1303K 0 0 5 (0.91) 1 (0.85) IVS8-5T 0 0 4 (0.73) 0 W1282X 0 0 3 (0.55) 7 (5.93) R347P 0 0 1 (0.18) 2 (1.69) V520F 0 0 1 (0.18) 0 I1027T 0 0 1 (0.18) 0 R1066C/IVS 0 0 1 (0.18) 0 Q1313X 0 0 1 (0.18) 0 1898ϩ3GϾA 0 0 1 (0.18) 0 2183AAϾG 0 0 1 (0.18) 0 2951insA 0 0 1 (0.18) 0 G551D 0 0 0 2 (1.69) 1525-iG-A 0 0 0 2 (1.69) Y109C 0 0 0 1 (0.85) S549N 0 0 0 1 (0.85) 3154del1G 0 0 0 1 (0.85) UNKNOWN 1 (0.59) 4 (5.26) 20 (3.82) 25 (21.19) Number of alleles genotypedc 170 (100) 76 (100) 550 (100) 118 (100) a The six mutations included in the panels proposed are in bold. Login to comment

[hide] Ataluren (PTC124) induces cystic fibrosis transmem... Am J Respir Crit Care Med. 2010 Nov 15;182(10):1262-72. Epub 2010 Jul 9. Sermet-Gaudelus I, Boeck KD, Casimir GJ, Vermeulen F, Leal T, Mogenet A, Roussel D, Fritsch J, Hanssens L, Hirawat S, Miller NL, Constantine S, Reha A, Ajayi T, Elfring GL, Miller LL
Ataluren (PTC124) induces cystic fibrosis transmembrane conductance regulator protein expression and activity in children with nonsense mutation cystic fibrosis.
Am J Respir Crit Care Med. 2010 Nov 15;182(10):1262-72. Epub 2010 Jul 9., 2010-11-15 [PMID:20622033]

Abstract [show]
RATIONALE: Nonsense (premature stop codon) mutations in mRNA for the cystic fibrosis transmembrane conductance regulator (CFTR) cause cystic fibrosis (CF) in approximately 10% of patients. Ataluren (PTC124) is an oral drug that permits ribosomes to readthrough premature stop codons in mRNA to produce functional protein. OBJECTIVES: To evaluate ataluren activity, safety, and pharmacokinetics in children with nonsense mutation CF. METHODS: Patients were assessed in two 28-day cycles, comprising 14 days on and 14 days off ataluren. Patients took ataluren three times per day (morning, midday, and evening) with randomization to the order of receiving a lower dose (4, 4, and 8 mg/kg) and a higher dose (10, 10, and 20 mg/kg) in the two cycles. MEASUREMENTS AND MAIN RESULTS: The study enrolled 30 patients (16 male and 14 female, ages 6 through 18 yr) with a nonsense mutation in at least one allele of the CFTR gene, a classical CF phenotype, and abnormal baseline nasal epithelial chloride transport. Ataluren induced a nasal chloride transport response (at least a -5-mV improvement) or hyperpolarization (value more electrically negative than -5 mV) in 50% and 47% of patients, respectively, with more hyperpolarizations at the higher dose. Improvements were seen in seven of nine nonsense mutation genotypes represented. Ataluren significantly increased the proportion of nasal epithelial cells expressing apical full-length CFTR protein. Adverse events and laboratory abnormalities were infrequent and usually mild. Ataluren pharmacokinetics were similar to those in adults. CONCLUSIONS: In children with nonsense mutation CF, ataluren can induce functional CFTR production and is well tolerated.

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154 BASELINE PATIENT CHARACTERISTICS Characteristic N 5 30 Age, median, yr (range) 12 (6 to 18) Sex, n Male 16 Female 14 BMI, median % predicted*(range) 35 (,1 to 97) Sweat test chloride concentration, median, mEq/L† (range) 104 (84 to 140) TEPD Total chloride transport, median, mV‡ (range) 20.3 (24.6 to 114.6) Pulmonary function, mean % predictedx FEV1 (range) 90 (40 to 133) FVC (range) 99 (52 to 131) Pathologic bacterial/fungal colonization, n 30 Staphylococcus aureus 26 Pseudomonas aeruginosa 9 Hemophilus influenzae 3 Alcaligenes xylosoxidans 1 Stenotrophomonas maltophilia 1 Pancreatic insufficiency, n 30 Exocrine 30 Endocrine 2 Liver enzyme abnormalities, n 15 Alkaline phosphatase 7 Lactate dehydrogenase 6 g-Glutamyltransferase 4 Alanine aminotransferase 4 Aspartate aminotransferase 2 Bilirubin 1 Nonsense mutation genotype (premature stop codon type), n G542Xk (UGA) 14 W1282X (UGA) 4 Q493X (UAG) 3 R553X (UGA) 2 E1104X (UGA) 2 R1162Xk (UGA) 2 W846X (UGA) 1 W882X (UAG) 1 Q1313X (UAA) 1 Definition of Abbreviations: BMI 5 body mass index; TEPD 5 transepithelial potential difference. Login to comment
189 TOTAL CHLORIDE TRANSPORT RESPONSE AND HYPERPOLARIZATION BY NONSENSE MUTATION TYPE Nonsense Mutation Type Responses* n/N† % Response Rate Hyperpolarizations‡ n/N† % Hyperpolarization Rate Q493X (UAG) 1/3 33 1/3 33 G542X (UGA) 8/14 57 7/14 50 R553X (UGA) 1/2 50 1/2 50 W846X (UGA) 0/1 0 0/1 0 W882X (UAG) 1/1 100 1/1 100 E1104X (UGA) 1/2 50 0/2 0 R1162X (UGA) 1/2 50 2/2 100 W1282X (UGA) 2/4 50 2/4 50 Q1313X (UAA) 0/1 0 0/1 0 * At least a 25 mV total chloride transport improvement in either cycle. Login to comment

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

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

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

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

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

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

[hide] Validation of high-resolution DNA melting analysis... J Mol Diagn. 2008 Sep;10(5):424-34. Epub 2008 Aug 7. Audrezet MP, Dabricot A, Le Marechal C, Ferec C
Validation of high-resolution DNA melting analysis for mutation scanning of the cystic fibrosis transmembrane conductance regulator (CFTR) gene.
J Mol Diagn. 2008 Sep;10(5):424-34. Epub 2008 Aug 7., [PMID:18687795]

Abstract [show]
High-resolution melting analysis of polymerase chain reaction products for mutation scanning, which began in the early 2000s, is based on monitoring of the fluorescence released during the melting of double-stranded DNA labeled with specifically developed saturation dye, such as LC-Green. We report here the validation of this method to scan 98% of the coding sequence of the cystic fibrosis transmembrane conductance regulator (CFTR) gene. We designed 32 pairs of primers to amplify and analyze the 27 exons of the gene. Thanks to the addition of a small GC-clamp at the 5' ends of the primers, one single melting domain and one identical annealing temperature were obtained to co-amplify all of the fragments. A total of 307 DNA samples, extracted by the salt precipitation method, carrying 221 mutations and 21 polymorphisms, plus 20 control samples free from variations (confirmed by denaturing high-performance liquid chromatography analysis), was used. With the conditions described in this study, 100% of samples that carry heterozygous mutations and 60% of those with homozygous mutations were identified. The study of a cohort of 136 idiopathic chronic pancreatitis patients enabled us to prospectively evaluate this technique. Thus, high-resolution melting analysis is a robust and sensitive single-tube technique for screening mutations in a gene and promises to become the gold standard over denaturing high-performance liquid chromatography, particularly for highly mutated genes such as CFTR, and appears suitable for use in reference diagnostic laboratories.

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63 Continued Exon Primer Sequences GC length Amplicon length (bp) Introns Number of heterozygous- positive controls Number of homozygous- positive controls Recommended control 16 LSCFE16Fmod 5Ј-CCGCTGAATGCGTCTACTGTGATCCA-3Ј 3 299 bp 77 6 G970R LSCFE16Rmod 5Ј-CCGTAGACAGGACTTCAA CCCTCAATCAA-3Ј 3 87 3120ϩ1GϾA 17a LSCFE17AFmod 5Ј-CCGCCGGACACACTTTG TCCACTT-3Ј 6 286 bp 49 13 3121-1GϾA LSCFE17ARmod 5Ј-CCGCCGTCAAATAGCTCTTATAGCTTTTTT ACAAGATG-3Ј 6 25 I1027T 17b LSCF17BAFmod 5Ј-CCGCCGCCCCGCCGTCAGGTACA AGATATTATG-3Ј 14 56 11 3272-26AϾG LSCF17BARmod 5Ј-CCGCCGCCGCAGTGTTGACAGGT ACAAGAAC-3Ј 7 247 bp A1067T LSCF17BBFmod 5Ј-CCGCCCTTACTTTGAAACTCTGTT CCACAAAGC-3Ј 4 247 bp T1095T LSCF17BBRmod 5Ј-CCGCCGTTGATAACCTATAGAATG CAG-3Ј 6 62 E1104X 18 LSCFE18Fmod 5Ј-CCGCCGAGTCGTTCACAGAAGA GAGAAATAAC-3Ј 6 236 bp 34 2 D1152H LSCFE18Rmod 5Ј-CCGCCGCCGCGGTACTTTGTT ACTTGTCTGAATTTTTTT-3ЈCATAA 12 25 3547delA 19 LSCF19i5mod 5Ј-CCGCCGCCGCGCATCAAACTA ATTGTGAAATTGTCTGCC-3Ј 10 408 bp 73 10 S1235R LSCF19i3mod 5Ј-CCGCCGCCGCACACATTGCT TCAGGCTACTGGGA-3Ј 11 49 R1162L 20 LSCF20i5mod 5Ј-CCGCCGCCGCCGCTACTGAATTATGT TTATGGCATGG-3Ј 13 323 bp 44 13 W1282X LSCF20i3mod 5Ј-CCGCCGCCGCTCTTGAGTACAAGTA TCAAATAGCAG-3Ј 10 50 4005ϩ33GϾA 21 LSCFe21F 5Ј-CCGCCGCCGCGCAAGTTATTCATA CTTTCTTCTTCTTT-3Ј 12 217 bp 15 5 1 N1303K LSCFe21R 5Ј-CCGCCGCCGCTATATCAGCCA TTTGTG-3Ј 8 47 Q1313X 22 LSCFe22FmodC LSCFe22 RmodD 5Ј-CCGCCGAGAATGTCAAC TGCTTGAGTGT-3Ј 6 311 bp 41 2 R1358S 5Ј-CCGCCGGCAGGCATAATGA TTCTGTTCCCAC-3Ј 10 51 I1366T 23 LSCFE23Fmod 5Ј-CCGCCGCCGCAAGGTAAAT ACAGATCAT-3Ј 9 259 bp 44 3 4374ϩ1GϾT 4374ϩ13AϾG LSCFE23Rmod: 5Ј-CCGGCAGGAACTATCACAT GTGAGATTG-3Ј 3 53 24 LSCFE24FmodB 5Ј-CCGCCGCTTTGAGCCTGT GCCAGTTTCTGT-3Ј 6 378 bp 58 5 1 Q1463Q LSE24RmodB 5Ј-CCGCCGACGAGCTCCAATTC CATGAGGTGA-3Ј 6 62 Y1424Y the same technique: the majority of our samples were extracted by a classical saline technique or an automated extraction and their quality was adequate. Login to comment

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

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

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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
186 Table 3. Continued CFTR mutations Alleles Relative mutation frequency (%) (of 317) G567A 1 Ͻ1 S573C 1 Ͻ1 E585X 1 Ͻ1 T604S 1 Ͻ1 F693L 1 Ͻ1 V754 mol/L 1 Ͻ1 2108delA 1 Ͻ1 2184delA 1 Ͻ1 2215insG 1 Ͻ1 2585delT 1 Ͻ1 2752 - 6TϾC 1 Ͻ1 E831X 1 Ͻ1 D836Y 1 Ͻ1 Y913X 1 Ͻ1 S945L 1 Ͻ1 L967S 1 Ͻ1 3171delC 1 Ͻ1 3199del6 1 Ͻ1 3271 ϩ 8AϾG 1 Ͻ1 R1066H 1 Ͻ1 R1070W 1 Ͻ1 Y1092X 1 Ͻ1 W1098C 1 Ͻ1 3500 - 2AϾT 1 Ͻ1 4016insT 1 Ͻ1 4374 ϩ 13AϾG 1 Ͻ1 D1152H 1 Ͻ1 R1158X 1 Ͻ1 R1162X 1 Ͻ1 W1282X 1 Ͻ1 N1303K 1 Ͻ1 Q1313X 1 Ͻ1 P1372L 1 Ͻ1 R1438W 1 Ͻ1 Total 317 100 Table 3. Login to comment

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

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

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69 of chromosomes (frequency %) p.E1104X 17b 2 (0.47) p.R1158X 19 3 (0.70) p.R1162X 19 2 (0.47) c.3659delC 19 1 (0.23) c.3737delA 19 2 (0.47) p.I1234V 19 1 (0.23) c.3849+10kbCNT intron 19 4 (0.93) c.3850-1GNA intron 19 1 (0.23) p.G1244E 20 1 (0.23) p.W1282X 20 2 (0.47) p.N1303H 21 1 (0.23) p.N1303K 21 13 (3.02) p.Q1313X 21 1 (0.23) c.4382delA 24 1 (023) Mutations described for the first time by our laboratory appear in bold. 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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105 d G149R, S489X, S492F, S549R, 1898+1G>A, 2622+1G>A, G970R, R1066H, W1204X, 3850-1G>A, Q1313X. Login to comment
140 Non-F508del Mutations Found as Homozygous in a Sample of 3,710 Patients With Cystic Fibrosis Mutation n 711+1G>T 8 G542X 7 N1303K 7 2183delAA>G 5 W1282X 4 G551D 3 3905insT 3 R334W 2 R347P 2 1078delT 2 1811+1.6kbA>G 2 2113delA 2 Y1092X 2 R1162X 2 306insA 1 E92K 1 G178R 1 L227R 1 1677delTA 1 1717-1G>A 1 1717-8G>A 1 R553X 1 S549R(T>G) 1 R560S 1 V562I 1 Y569D 1 2711delT 1 S945L 1 R1158X 1 I1234V 1 3849+10kbC>T 1 Q1313X 1 del25kb 1 E831X 1 I175V 1 G314V 1 L1077P 1 produce a small quantity of functional protein as a result of a variable proportion of normal CFTR mRNA transcripts in addition to the abnormal ones (class V); 3) they are located in sites known to generate less severe mutants (external loops, residues lining the pore); and/or 4) they have been observed in CF with pancreatic sufficiency, CBAVD, and/or CF-related attenuated phenotypes only. Login to comment

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

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

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

[hide] SSCP analysis: a blind sensitivity trial. Hum Mutat. 1997;10(1):65-70. Jordanova A, Kalaydjieva L, Savov A, Claustres M, Schwarz M, Estivill X, Angelicheva D, Haworth A, Casals T, Kremensky I
SSCP analysis: a blind sensitivity trial.
Hum Mutat. 1997;10(1):65-70., [PMID:9222762]

Abstract [show]
Studies of the sensitivity of SSCP analysis usually have been performed under conditions contrary to the rules of quality control trials and have produced widely different results. We have performed a blind trial of the sensitivity of SSCP analysis for the detection of mutations in fragments up to 500 bp in length under a fixed single set of electrophoretic conditions. The mutation detection rate was 84%. In addition, we have identified a second mutation in nine samples. All these mutations are polymorphisms, including a novel polymorphism 1248 + 52T/C first reported in the present work.

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22 List of Mutations Included in the Experiment and Original Method of Detection Used by the Referring Laboratory Referring Probe Original method laboratory no.a Mutation Exon of detection Original SSCP conditions Institut de 1 1677delTA 10 Heteroduplexes Recerca 1 1859G/C 12 DDGE Oncologica, 3 W1282X 20 SSCPb 6% 19:1 (AA:bisAA) 4°C 5h 30W Department 4 delF508 10 Heteroduplexes de Genetica 4 Q1313X 20 SSCPb 6% 19:1 (AA:bisAA) 4°C 5h 30W Molecular, 5 1609delCA 10 SSCPb 6% 19:1 (AA:bisAA) RT 28h 10W10% glycerol Barcelona, 7 T582R 12 DGGE Spain 8 1898+3G→A ivs 12 DGGE Molecular 910085 1161delC 7 SSCP/Heteroduplexes 9% 49:1 (AA:bisAA) 4°C 20 h 10V/cm Genetics 860176 1138insG 7 SSCP/Heteroduplexes 9% 49:1 (AA:bisAA) 4°C 20 h 10V/cm Laboratory, 930215 1154insTC 7 SSCP/Heteroduplexes 9% 49:1 (AA:bisAA) 4°C 20 h 10V/cm Royal 930838 delF508 10 SSCP/Heteroduplexes 9% 49:1 (AA:bisAA) 4°C 20 h 10V/cm Manchester 930127 delI507 10 SSCP/Heteroduplexes 9% 49:1 (AA:bisAA) 4°C 20 h 10V/cm Children`s 931205 Q493X 10 SSCP/Heteroduplexes 9% 49:1 (AA:bisAA) 4°C 20 h 10V/cm Hospital, 900592 V520F 10 SSCP/Heteroduplexes 9% 49:1 (AA:bisAA) 4°C 20 h 10V/cm UK G12984 S489X 10 SSCP/Heteroduplexes 9% 49:1 (AA:bisAA) 4°C 20 h 10V/cm 910143 G551D 11 ARMS 930274 S549N 11 SSCP/Heteroduplexes 10% 49:1 (AA:bisAA) 4°C 20 h 10V/cm 920132 1811+1G→C ivs 11 SSCP/Heteroduplexes 10% 49:1 (AA:bisAA) 4°C 20 h 10V/cm 930140 1898+1G→A ivs 12 SSCP/Heteroduplexes 930334 W1282X 20 SSCP/Heteroduplexes 7.25% 49:1 (AA:bisAA) 4°C 20 h 10V/cm 140735 3850-1G→A 20 SSCP/Heteroduplexes 7.25% 49:1 (AA:bisAA) 4°C 20 h 10 V/cm Laboratoire 293 G551D 11 SSCPb 5% 19:1 (AA:bisAA) 4°C 5 h 50W and de Biochimie 5% 19:1 (AA:bisAA) RT 18h 8W 10%glycerol Genetique, 324 S549R 11 ASO Hybridization Centre 649 1898+1G→A ivs 12 DGGE Hospitalier 583 E585X 12 DGGE Universitaire 710 L967S 15 DGGE Montpellier, 325 S945L 15 SSCPb 5% 19:1 (AA:bisAA) 4° 5h 50W and France 5% 19:1 (AA:bisAA) RT 18h 8W 10%glycerol 473 N1303H 21 SSCPb 5% 19:1 (AA:bisAA)4°C 5h 50W and 5% 19:1 (AA:bisAA) RT 18h 8W 10%glycerol 216 300delA 3 SSCP 5% 19:1 (AA:bisAA)4°C 5h 50W and 5% 19:1 (AA:bisAA) RT 18h 8W 10%glycerol 287 394delTT 3 SSCP 5% 19:1 (AA:bisAA)4°C 5h 50W and 5% 19:1 (AA:bisAA) RT 18h 8W 10%glycerol 559 R74W 3 SSCP 5% 19:1 (AA:bisAA)4°C 5h 50W and 5% 19:1 (AA:bisAA) RT 18h 8W 10%glycerol 237 P67L 3 DGGE 1023 R75X 3 DGGE 885 1215delG 7 DGGE 113 Y122X 4 DGGE, SSCP 356 621+1G→T ivs 4 SSCP 5% 19:1 (AA:bisAA)4°C 5h 50W and 5% 19:1 (AA:bisAA) RT 18h 8W 10%glycerol 709 621+2T→G ivs 4 SSCP 5% 19:1 (AA:bisAA)4°C 5h 50W and 5% 19:1 (AA:bisAA) RT 18h 8W 10%glycerol 802 I148T 4 DGGE 1016 Q98R 4 DGGE V75 R117H 4 SSCP 5% 19:1 (AA:bisAA) 4°C 5 h 50W and 5% 19:1 (AA:bisAA) RT 18h 8W 10%glycerol a Identification numbers given by referring laboratories. Login to comment
57 Type of Mutations Detected by SSCP Analysis in This Study Type of mutation Mutation Mutation characteristics Detected by SSCP analysis Deletions 1677delTA deletion of TA from 1677 Yes delF508 deletion of 3 bp from 1655 Yes delI507 deletion of 3 bp from 1648 Yes 1609delCA deletion of CA from 1609 Yes 1161delC deletion of C at 1161 Yes 300delA deletion of A at 300 Yes 394delTT deletion of TT from 394 Yes 1215delG deletion of G at 1215 No Insertions 1138insG insertion of G after 1138 Yes 1154insTC insertion of TC after 1154 Yes Base 1859G/C Yes substitutions W1282X G→A at 3978 Yes Q1313X C→T at 4069 Yes T582R C→G at 1877 Yes 1898+3G→A A→G at 1898+3 Yes Q493X C→T at 1609 Yes V520F G→T at 1690 Yes S489X C→A at 1598 Yes G551D G→A at 1784 No S549N G→A at 1778 Yes 1811+1G→C G→C at 1811+1 Yese 1898+1G→A G→A at 1898 Yes 3850-1G→A G→A at 3850-1 Yes S549R T→G at 1779 Yes E585X G→T at 1885 Yes L967S C→T at 2966 Yes S945L C→T at 2966 No N1303H A→C at 4039 Yes R74W C→T at 352 Yes P67L C→T at 332 Yes R75X C→T at 355 Yes Y122X T→A at 498 No 621+1G→T G→T at 621+1 No 621+2T→G T→G at 621+2 No I148T T→C at 575 Yes Q98R A→G at 425 Yes R117H G→A at 482 Yes FIGURE 1. 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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84 4048insCC, Q1313X E1371X Q1412X 4279insA 4521 G or A (p) S1196X, S1235R 10-60 20-80 20-80 0-50 20-70 20-70 20-70 20-70 20-70 10-60 20-70 20-70 0-50 20-80 20-80 20-80 20-80 20-70 20-70 20-80 20-80 20-70 20-70 20-70 20-70 20-70 20-70 20-80 20-70 20-70 40-80 75 75 150 75 150 150 150 75 150 150 150 75 150 75 75 75 150 150 150 95 150 150 150 150 150 150 150 150 150 150 150 9 9 4.5 6.5 4 4 4.5 7.5 4 5 4 7.5 4 7 7 7 4 4 4 6.5 4 4 3.5 4 4 5 4 6.5 4.5 4 4 ^Allmutationshave been reported to the CysticFibrosis Genetic AnalysisConsortium.The five polymorphisms are marked with a p in parenthesis. Login to comment

[hide] Identification of 12 novel mutations in the CFTR g... Hum Mol Genet. 1993 Jan;2(1):51-4. Audrezet MP, Mercier B, Guillermit H, Quere I, Verlingue C, Rault G, Ferec C
Identification of 12 novel mutations in the CFTR gene.
Hum Mol Genet. 1993 Jan;2(1):51-4., [PMID:7683952]

Abstract [show]
Over 200 mutations, besides the deletion delta F508, have been identified in the CFTR gene and are known to cause CF. In order to characterize the molecular defects of non delta F508 CF chromosomes of various French origin, we have combined the techniques of denaturing gradient gel electrophoresis (DGGE) and direct sequencing to screen for mutations in the whole coding sequence of the CFTR gene corresponding to the 27 exons and their exon-intron boundaries. This approach enabled us to identify 12 novel mutations which are described here. We have systematically tested a large number of other nucleotide changes distributed in the 27 exons, each of them was clearly detected. These data support the notion that the DGGE conditions we have defined for screening coding sequence of the CFTR gene allows the identification of most of, if not all, the CFTR gene mutations.

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70 Q1313X In exon 21, the nucleotide change at position 4069 (C - T) leads to a stop codon. Login to comment
91 The 3898 ins C in exon 20 is a frameshift mutation; the W57X, K716X, Q1238X and Q1313X are nonsense mutations. 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
74 However, the sensitivity of the IRT/NGS algorithm would have decreased as much as 50% for classic CF cases when a positive screen is defined as two CF-causing mutations because of uncommon mutations found in five patients Table 2ߒ Cases with a second mutation detected from the next-generation sequencing panel Case no. IRT (ng/ml) Second-tier DNA Additional mutation Sweat chloride (mmol/l) Clinical assessmenta Test 1 Test 2 1 64 F508del D110H 71.4 67.1 CF 2 327 F508del Q1313X N/A N/A CF 3 297 F508del Q1313X N/A N/A CF 4 71 R117H (7T) R347H 45.2 41.5 CRMSb 5 148 F508del R117C 40 38 CRMSb 6 66 F508del 5Tc 36.9 30.8 CRMSb 7 147 F508del D1152Hc 27.9 24.6 CRMSb 8 121 F508del D1152Hc 11 QNS Carrier 9 176 F508del D1152Hc 24 26 Carrier CF, cystic fibrosis; CRMS, CFTR-related metabolic syndrome; IRT, immunoreactive trypsinogen; QNS, quantity not sufficient. 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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84 G1244E c.3731G4A p.Gly1244Glu 3876delA c.3744delA p.Lys1250Argfs*9 S1251N c.3752G4A p.Ser1251Asn 3905insT c.3773dupT p.Leu1258Phefs*7 4005+1G4A c.3873+1G4A 4016insT c.3889dupT p.Ser1297Phefs*5 Q1313X c.3937C4T p.Gln1313* CFTRdele22,23 c.3964-78_4242+577del p. Login to comment