ABCC7 p.Leu1335Pro
| ClinVar: |
c.4004T>C
,
p.Leu1335Pro
?
, not provided
c.4003C>T , p.Leu1335Phe ? , not provided |
| CF databases: |
c.4003C>T
,
p.Leu1335Phe
(CFTR1)
?
, We have scanned the entire coding sequences of the CF gene with DHPLC and have seen it only once, in over 2500 control chromosomes from Italian population.
c.4004T>C , p.Leu1335Pro (CFTR1) ? , The mutation was detected by heteroduplex analysis and direct sequencing in two CF patients carrying [delta]F508 on their other CF chromosome. |
| Predicted by SNAP2: | A: D (75%), C: D (71%), D: D (80%), E: D (80%), F: D (80%), G: D (85%), H: D (85%), I: N (57%), K: D (91%), M: N (78%), N: D (85%), P: D (91%), Q: D (80%), R: D (91%), S: D (80%), T: D (80%), V: D (66%), W: D (75%), Y: D (75%), |
| Predicted by PROVEAN: | A: D, C: D, D: D, E: D, F: D, G: D, H: D, I: N, K: D, M: N, N: D, P: D, Q: D, R: D, S: D, T: D, V: D, W: D, Y: D, |
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[hide] Comparison of the CFTR mutation spectrum in three ... Hum Mutat. 2003 Jul;22(1):105. Scotet V, Barton DE, Watson JB, Audrezet MP, McDevitt T, McQuaid S, Shortt C, De Braekeleer M, Ferec C, Le Marechal C
Comparison of the CFTR mutation spectrum in three cohorts of patients of Celtic origin from Brittany (France) and Ireland.
Hum Mutat. 2003 Jul;22(1):105., [PMID:12815607]
Abstract [show]
This study aims to compare the spectrum of the mutations identified in the gene responsible for cystic fibrosis in three cohorts of patients of Celtic origin from Brittany and Ireland. It included 389 patients from Brittany, 631 from Dublin and 139 from Cork. The CFTR gene analysis relied on the detection of the most common mutations, followed by a complete gene scanning using DGGE or D-HPLC. High mutation detection rates were obtained in each cohort: 99.6%, 96.8%, and 96.0% respectively. A high frequency of the c.1652_1655 del3 mutation (F508del: 74.8% to 81.3%) and of the "Celtic" mutation (c.1784G>A (G551D): 3.7% to 9.7%) was observed in each population. Apart from this, the mutation spectrums differed. In Brittany, the most common abnormalities were: c.1078delT (3.6%), c.4041C>G (N1303K: 1.4%), c.2670G>A (W846X(2): 1.0%) and c.1717-1G>A (1.0%), whereas in the cohort of Dublin, the main mutations were: c.482G>A (R117H: 3.0%), c.1811G>C (R560T: 2.4%) and c.621+1G>T (1.7%). Finally, in the Cork area, only the c.482G>A mutation (R117H) reached a frequency of 1%. Two previously-unreported mutations were identified in the Dublin cohort: c.2623-2A>G and c.3446T>G (M1105R). This collaborative study highlights the similarities of the CFTR alleles in the Breton and Irish populations, but also the disparities that exist between these populations, despite their common origin. Each population has its own history, with its mixture of founder effects and genetic drifts, which are at the origin of the current mutation distribution. The molecular study of the CFTR gene provides new tools for retracing European populations' histories.
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64 Spectrum of the CFTR Mutations Identified in the Cohorts from Brittany, Dublin Centre, and Cork Area Nucleotide Amino acid change * change Exon Number Frequency Number Frequency Number Frequency 211delG 2 1 0.1% 310G>T E60X 3 5 0.6% 4 0.3% 347C>A A72D 3 1 0.1% 368G>A W79X 3 1 0.1% 386G>A G85E 3 2 0.3% 3 0.2% 403G>A G91R 3 2 0.3% 482G>A R117H 4 4 0.5% 38 3.0% 4 1.4% 498T>A Y122X 4 1 0.1% 574delA 4 1 0.1% 577G>A G149R 4 1 0.1% 621+1G>T int 4 5 0.6% 21 1.7% 790C>T Q220X 6a 1 0.1% 875+1G>C int 6a 1 0.4% 905delG 6b 1 0.1% 1065C>G F311L 7 2 0.3% 1078delT 7 28 3.6% 1132C>T R334W 7 1 0.1% 1172G>A R347H 7 5 0.6% 1172G>T R347L 7 1 0.1% 1172G>C R347P 7 1 0.1% 1187G>A R352Q 7 3 0.2% 2 0.7% 1208A>G Q359R 7 1 0.1% 1154insTC 7 2 0.2% 1221delCT 7 2 0.3% 1248+1G>A int 7 1 0.1% 1249-27delTA int 7 1 0.4% 1334G>A W401X 8 1 0.1% 1461ins4 9 5 0.4% 1471delA 9 2 0.2% 1607C>T S492F 10 2 0.3% 1609C>T Q493X 10 1 0.1% 1648_1653delATC I507del 10 3 0.4% 10 0.8% 1 0.4% 1652_1655del 3 bp F508del 10 582 74.8% 966 76.5% 226 81.3% 1690G>T V520F 10 4 0.3% 1717-1G>A int 10 8 1.0% 9 0.7% 1756G>T G542X 11 5 0.6% 8 0.6% 1779T>G S549R 11 1 0.1% 1784G>A G551D 11 29 3.7% 82 6.5% 27 9.7% 1789C>G R553G 11 1 0.1% 1789C>T R553X 11 3 0.4% 1 0.1% 1806delA 11 1 0.1% 1811G>A R560K 11 2 0.3% 1811G>C R560T 11 30 2.4% 2 0.7% 1819T>A Y563N 12 1 0.1% 1853C>A P574H 12 1 0.1% 1898+1G>A int 12 1 0.1% 2184delA 13 1 0.1% 1 0.1% 2184insA 13 1 0.1% 2622+1G>A int 13 1 0.1% 2 0.2% 2622+1G>T int 13 1 0.1% 2623-2A>G ** int 13 1 0.1% 2670G>A W846X2 14a 8 1.0% 2752-1G>T int 14a 1 0.1% 2752-26A>G int 14a 2 0.2% 2789+5G>A int 14b 6 0.8% 2966C>T S945L 15 2 0.3% 3007delG 15 4 0.3% 3040G>C G970R 15 1 0.1% 3062C>T S977F 16 1 0.1% 3120+1G>A int 16 1 0.1% 3272-26A>G int 17a 4 0.5% 2 0.2% 2 0.7% 3320dupli(CTATG) 17b 1 0.1% 3329G>A R1066H 17b 1 0.1% 3340C>T R1070W 17b 1 0.1% 3408C>A Y1092X 17b 7 0.9% 3442G>T E1104X 17b 1 0.1% 3446T>G ** M1105R 17b 1 0.1% 3586G>C D1152H 18 1 0.1% 3601-17T>C + 1367delC int 18 + 9 1 0.1% 3616C>T R1162X 19 1 0.1% 2 0.2% 3659delC 19 2 0.2% 3832A>G I1234V 19 2 0.3% 3849+4A>G int 19 1 0.1% 3849+10kbC>T int 19 3 0.2% 3877G>A G1249R 20 1 0.1% 3884G>A S1251N 20 1 0.1% 3898insC 20 1 0.1% 3905insT 20 2 0.3% 3978G>A W1282X 20 3 0.4% 4005+1G>A int 20 6 0.8% 4016insT 21 1 0.1% 4041C>G N1303K 21 11 1.4% 5 0.4% 4136T>C L1335P 22 1 0.1% 1 0.4% 4279insA 23 1 0.1% Unidentified Unidentified - 3 0.4% 41 3.2% 11 4.0% Total 778 100.0% 1262 100.0% 278 100.0% * All nucleotide changes correspond to cDNA numbering.
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ABCC7 p.Leu1335Pro 12815607:64:2299
status: NEW[hide] Molecular consequences of cystic fibrosis transmem... Gut. 2003 Aug;52(8):1159-64. Ahmed N, Corey M, Forstner G, Zielenski J, Tsui LC, Ellis L, Tullis E, Durie P
Molecular consequences of cystic fibrosis transmembrane regulator (CFTR) gene mutations in the exocrine pancreas.
Gut. 2003 Aug;52(8):1159-64., [PMID:12865275]
Abstract [show]
BACKGROUND AND AIMS: We tested the hypothesis that the actual or predicted consequences of mutations in the cystic fibrosis transmembrane regulator gene correlate with the pancreatic phenotype and with measures of quantitative exocrine pancreatic function. METHODS: We assessed 742 patients with cystic fibrosis for whom genotype and clinical data were available. At diagnosis, 610 were pancreatic insufficient, 110 were pancreatic sufficient, and 22 pancreatic sufficient patients progressed to pancreatic insufficiency after diagnosis. RESULTS: We identified mutations on both alleles in 633 patients (85.3%), on one allele in 95 (12.8%), and on neither allele in 14 (1.9%). Seventy six different mutations were identified. The most common mutation was DeltaF508 (71.3%) followed by G551D (2.9%), G542X (2.3%), 621+1G-->T (1.2%), and W1282X (1.2%). Patients were categorized into five classes according to the predicted functional consequences of each mutation. Over 95% of patients with severe class I, II, and III mutations were pancreatic insufficient or progressed to pancreatic insufficiency. In contrast, patients with mild class IV and V mutations were consistently pancreatic sufficient. In all but four cases each genotype correlated exclusively with the pancreatic phenotype. Quantitative data of acinar and ductular secretion were available in 93 patients. Patients with mutations belonging to classes I, II, and III had greatly reduced acinar and ductular function compared with those with class IV or V mutations. CONCLUSION: The predicted or known functional consequences of specific mutant alleles correlate with the severity of pancreatic disease in cystic fibrosis.
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309 Table 2 Genotype classification according to the functional consequences of CFTR gene mutations Pancreatic status Class I Class II Class III Class IV Class V PS F1 , 875+1G→C(2) F, F (1) F, G551D (1) F, R117H (11) F,3849+10kbC→T (5) F, G85E2 (1) F, R347H (3) F,3272-26A→G (4) F, S1251N (2) F,A445E (3) F, D614G (1) F,P574H (2) F, R347P (1) F,3120G>A (1) R117H,R117H (1) F, 5T (8) F, L1335P (1) F,2789+5G→A (1) F,P67L (1) F,R347P/R347H (1) F,V232D(2) R334W, R334W(1) PS→PI F,3659delC (1) F,F (15) F,G551D (1) F, I1234V (1) F,2184insA (1) F,R560T (1) PI F, G542X (27) F,F (365) F, G551D (28) F, 621+1G→T (13) F, R560T (7) F,R553X (7) F, N1303K (9) F, R1162X (6) F,L1077P (2) F, 3659delC (5) F, I48T (1) F, 1717-1G→A (5) F,A559T (1) F, W1282X (5) F, G85E2 (2) F, 711+1G→T (5) G551D,G551D(1) F,2184delA(4) F,H199R (1) W1282X,W1282X (4) F,I1072T(1) F,Y1092X (3) F,S549 (R75Q) (1) F,556delA (3) F, Q493X (3) F,4016InsT (3) F, 3120+1G→A (2) F, G551D/R553X (2) F,Q814X(2) F,1154insTC (2) F,441delA (1) F, 4326delTC (1) F,Q552X(1) F,3007delG (1) F,2184insA (1) F, 4010del4 (1) F,3905insT (1) F,1078delT(1) F,E1104X (1) F,3876delA (1) F,4374+1G→T (1) F,E585X (1) F, E60X (1) CFTR, cystic fibrosis transmembrane regulator; PI, pancreatic insufficiency; PS, pancreatic sufficiency.
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ABCC7 p.Leu1335Pro 12865275:309:404
status: NEW[hide] Sweat gland bioelectrics differ in cystic fibrosis... Thorax. 2009 Nov;64(11):932-8. Epub 2009 Sep 3. Gonska T, Ip W, Turner D, Han WS, Rose J, Durie P, Quinton P
Sweat gland bioelectrics differ in cystic fibrosis: a new concept for potential diagnosis and assessment of CFTR function in cystic fibrosis.
Thorax. 2009 Nov;64(11):932-8. Epub 2009 Sep 3., [PMID:19734129]
Abstract [show]
BACKGROUND: For nearly 50 years the diagnosis of cystic fibrosis (CF) has depended on measurements of sweat chloride concentration. While the validity of this test is universally accepted, increasing diagnostic challenges and the search for adequate biomarker assays to support curative-orientated clinical drug trials have created a new demand for accurate, reliable and more practical CF tests. A novel concept is proposed that may provide a more efficient real-time method for assessing CFTR function in vivo. METHODS: Cholinergic and beta-adrenergic agonists were iontophoresed to stimulate sweating. The bioelectric potential from stimulated sweat glands (SPD) was measured in vivo using a standard ECG electrode applied to the skin surface. SPD and sweat chloride concentrations were compared in cohorts predicted to express a range of CFTR function as presented by healthy controls (HC), heterozygotes (Hz), pancreatic sufficient (CFPS) and pancreatic insufficient patients with CF (CFPI). RESULTS: The median SPD was hyperpolarized in patients with CF compared with control subjects (-47.4 mV vs -14.5 mV, p<0.001). In distinguishing between control and CF subjects, SPD (area under receiver operator curve (AUC) = 0.997) was similar to sweat chloride concentration (AUC = 0.986). Sequential cholinergic/beta-adrenergic sweat stimulation dramatically depolarised the SPD in patients with CF (p<0.001) but had no effect in control subjects (p = 0.6) or on the sweat chloride concentration in either group (p>0.5). Furthermore, the positive SPD response was larger in CFPI than in CFPS subjects (p = 0.04). CONCLUSION: These results support the concept that skin surface voltages arising from stimulated sweat glands can be exploited to assess expressed CFTR function in vivo and may prove to be a useful diagnostic tool.
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68 Table 1 Summary of study subjects ID Category Sex Age Genotype ID Category Sex Age Genotype 1 HC F 49 +/+ 21 CFPS M 46 deltaF508/P67L 2 HC F 39 +/+ 22 CFPS F 41 deltaF508/R117C 3 HC M 32 +/+ 23 CFPS F 57 G542X/D1152H 4 HC M 23 +/+ 24 CFPS M 34 deltaF508/M1101K 5 HC F 28 +/+ 25 CFPS F 29 deltaF508/L1335P 6 HC M 26 +/+ 26 CFPS F 48 deltaF508/+ 7 HC M 26 R75Q/+ 27 CFPS M 26 deltaF508/R117H 8 HC M 30 +/+ 28 CFPS M 44 deltaF508/3272_26A.G 9 HC M 22 +/+ 29 CFPS M 46 deltaF508/R117H 5T 10 HC M 22 +/+ 30 CFPS M 48 R347P/2753-2A.G 11 Hz F 26 deltaF508/+ 31 CFPI M 29 deltaF508/deltaF508 12 Hz F 54 deltaF508/+ 32 CFPI M 29 deltaF508/2194inA 13 Hz F 24 deltaF508/+ 33 CFPI F 40 G551D/621+1 G.T 14 Hz F 33 deltaF508/+ 34 CFPI M 33 deltaF508/deltaF508 15 Hz M 25 deltaF508/+ 35 CFPI M 27 deltaF508/deltaF508 16 Hz F 37 deltaF508/+ 36 CFPI M 25 deltaF508/deltaF508 17 Hz F 49 deltaF508/+ 37 CFPI M 27 deltaF508/deltaF508 18 Hz M 49 deltaF508/+ 38 CFPI M 29 deltaF508/deltaF508 19 Hz F 55 deltaF508/+ 20 Hz M 61 deltaF508/+ CFPI, pancreatic-insufficient CF patients; CFPS, pancreatic-sufficient CF patients; HC, healthy controls; Hz, heterozygotes.
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ABCC7 p.Leu1335Pro 19734129:68:298
status: NEW[hide] Do common in silico tools predict the clinical con... Clin Genet. 2010 May;77(5):464-73. Epub 2009 Jan 6. Dorfman R, Nalpathamkalam T, Taylor C, Gonska T, Keenan K, Yuan XW, Corey M, Tsui LC, Zielenski J, Durie P
Do common in silico tools predict the clinical consequences of amino-acid substitutions in the CFTR gene?
Clin Genet. 2010 May;77(5):464-73. Epub 2009 Jan 6., [PMID:20059485]
Abstract [show]
Computational methods are used to predict the molecular consequences of amino-acid substitutions on the basis of evolutionary conservation or protein structure, but their utility in clinical diagnosis or prediction of disease outcome has not been well validated. We evaluated three popular computer programs, namely, PANTHER, SIFT and PolyPhen, by comparing the predicted clinical outcomes for a group of known CFTR missense mutations against the diagnosis of cystic fibrosis (CF) and clinical manifestations in cohorts of subjects with CF-disease and CFTR-related disorders carrying these mutations. Owing to poor specificity, none of tools reliably distinguished between individual mutations that confer CF disease from mutations found in subjects with a CFTR-related disorder or no disease. Prediction scores for CFTR mutations derived from PANTHER showed a significant overall statistical correlation with the spectrum of disease severity associated with mutations in the CFTR gene. In contrast, PolyPhen- and SIFT-derived scores only showed significant differences between CF-causing and non-CF variants. Current computational methods are not recommended for establishing or excluding a CF diagnosis, notably as a newborn screening strategy or in patients with equivocal test results.
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64 Mutations in the CFTR gene grouped by clinical category Cystic fibrosis CFTR-related disease No disease T338I D614G L320V V920L L90S M470V H199R S1251N I203M G550R P111A I148T Q1291H R560K L1388Q L183I R170H I1027T S549R D443Y P499A L1414S T908N R668C S549N A455E E1401K Q151K G27E I1234L Y563N R347P C866R S1118C P1290S R75Q A559T V520F P841R M469V E1401G P67L G85E S50Y E1409K R933G G458V G178R Y1032C R248T I980K G85V V392G L973P L137H T351S R334W I444S V938G R792G R560T R555G L1339F D1305E P574H V1240G T1053I D58G G551D L1335P I918M F994C S945L L558S F1337V R810G D1152H G1247R P574S R766M D579G W1098R H949R F200I R352Q L1077P K1351E M244K L206W M1101K D1154G L375F N1303K R1066C E528D D110Y R347H R1070Q A800G P1021S S549K A1364V V392A damaging` (is supposed to affect protein function or structure) and 'probably damaging` (high confidence of affecting protein function or structure).
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ABCC7 p.Leu1335Pro 20059485:64:526
status: NEW[hide] Mutations that permit residual CFTR function delay... Respir Res. 2010 Oct 8;11:140. Green DM, McDougal KE, Blackman SM, Sosnay PR, Henderson LB, Naughton KM, Collaco JM, Cutting GR
Mutations that permit residual CFTR function delay acquisition of multiple respiratory pathogens in CF patients.
Respir Res. 2010 Oct 8;11:140., [PMID:20932301]
Abstract [show]
BACKGROUND: Lung infection by various organisms is a characteristic feature of cystic fibrosis (CF). CFTR genotype effects acquisition of Pseudomonas aeruginosa (Pa), however the effect on acquisition of other infectious organisms that frequently precede Pa is relatively unknown. Understanding the role of CFTR in the acquisition of organisms first detected in patients may help guide symptomatic and molecular-based treatment for CF. METHODS: Lung infection, defined as a single positive respiratory tract culture, was assessed for 13 organisms in 1,381 individuals with CF. Subjects were divided by predicted CFTR function: 'Residual': carrying at least one partial function CFTR mutation (class IV or V) and 'Minimal' those who do not carry a partial function mutation. Kaplan-Meier estimates were created to assess CFTR effect on age of acquisition for each organism. Cox proportional hazard models were performed to control for possible cofactors. A separate Cox regression was used to determine whether defining infection with Pa, mucoid Pa or Aspergillus (Asp) using alternative criteria affected the results. The influence of severity of lung disease at the time of acquisition was evaluated using stratified Cox regression methods by lung disease categories. RESULTS: Subjects with 'Minimal' CFTR function had a higher hazard than patients with 'Residual' function for acquisition of 9 of 13 organisms studied (HR ranging from 1.7 to 3.78 based on the organism studied). Subjects with minimal CFTR function acquired infection at a younger age than those with residual function for 12 of 13 organisms (p-values ranging: < 0.001 to 0.017). Minimal CFTR function also associated with younger age of infection when 3 alternative definitions of infection with Pa, mucoid Pa or Asp were employed. Risk of infection is correlated with CFTR function for 8 of 9 organisms in patients with good lung function (>90%ile) but only 1 of 9 organisms in those with poorer lung function (<50%ile). CONCLUSIONS: Residual CFTR function correlates with later onset of respiratory tract infection by a wide spectrum of organisms frequently cultured from CF patients. The protective effect conferred by residual CFTR function is diminished in CF patients with more advanced lung disease.
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74 For Pa, the hazard ratio Table 1 Classification of CFTR alleles Category Mutation Specific mutations Class I Defective Protein Synthesis (nonsense, frameshift, aberrant splicing) 1078delT, 1154 insTC, 1525-2A > G, 1717-1G > A, 1898+1G > A, 2184delA, 2184 insA, 3007delG, 3120+1G > A, 3659delC, 3876delA, 3905insT, 394delTT, 4010del4, 4016insT, 4326delTC, 4374+1G > T, 441delA, 556delA, 621+1G > T, 621-1G > T, 711+1G > T, 875+1G > C, E1104X, E585X, E60X, E822X, G542X, G551D/R553X, Q493X, Q552X, Q814X, R1066C, R1162X, R553X, V520F, W1282X, Y1092X Class II Abnormal Processing and Trafficking A559T, D979A, ΔF508, ΔI507, G480C, G85E, N1303K, S549I, S549N, S549R Class III Defective Channel Regulation/Gating G1244E, G1349D, G551D, G551S, G85E, H199R, I1072T, I48T, L1077P, R560T, S1255P, S549 (R75Q) Class IV Decreased Channel Conductance A800G, D1152H, D1154G, D614G, delM1140, E822K, G314E, G576A, G622D, G85E, H620Q, I1139V, I1234V, L1335P, M1137V, P67L, R117C, R117P, R117H, R334W, R347H, R347P, R347P/ R347H, R792G, S1251N, V232D Class V Reduced Synthesis and/or Trafficking 2789+5G > A, 3120G > A, 3272-26A > G, 3849+10kbC > T, 5T variant, 621+3A > G, 711+3A > G, A445E, A455E, IVS8 poly T, P574H was increased 3 fold for those with 'Minimal` function when compared to those with 'Residual` function.
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ABCC7 p.Leu1335Pro 20932301:74:948
status: NEW[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.
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ABCC7 p.Leu1335Pro 22658665:855:1497
status: NEW[hide] Distribution of CFTR mutations in the Czech popula... J Cyst Fibros. 2013 Sep;12(5):532-7. doi: 10.1016/j.jcf.2012.12.002. Epub 2012 Dec 29. Krenkova P, Piskackova T, Holubova A, Balascakova M, Krulisova V, Camajova J, Turnovec M, Libik M, Norambuena P, Stambergova A, Dvorakova L, Skalicka V, Bartosova J, Kucerova T, Fila L, Zemkova D, Vavrova V, Koudova M, Macek M, Krebsova A, Macek M Jr
Distribution of CFTR mutations in the Czech population: positive impact of integrated clinical and laboratory expertise, detection of novel/de novo alleles and relevance for related/derived populations.
J Cyst Fibros. 2013 Sep;12(5):532-7. doi: 10.1016/j.jcf.2012.12.002. Epub 2012 Dec 29., [PMID:23276700]
Abstract [show]
BACKGROUND: This two decade long study presents a comprehensive overview of the CFTR mutation distribution in a representative cohort of 600 Czech CF patients derived from all regions of the Czech Republic. METHODS: We examined the most common CF-causing mutations using the Elucigene CF-EU2v1 assay, followed by MLPA, mutation scanning and/or sequencing of the entire CFTR coding region and splice site junctions. RESULTS: We identified 99.5% of all mutations (1194/1200 CFTR alleles) in the Czech CF population. Altogether 91 different CFTR mutations, of which 20 were novel, were detected. One case of de novo mutation and a novel polymorphism was revealed. CONCLUSION: The commercial assay achieved 90.7%, the MLPA added 1.0% and sequencing increased the detection rate by 7.8%. These comprehensive data provide a basis for the improvement of CF DNA diagnostics and/or newborn screening in our country. In addition, they are relevant to related Central European populations with lower mutation detection rates, as well as to the sizeable North American "Bohemian diaspora".
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62 There are over 10 million inhabitants in the country, which according to population genetic analyses, is a representative of the CE ethnic composition [3], with significant overlaps with Table 1 (continued) Mutations/HGVS nomenclature/ Mutations/traditional nomenclature, legacy name/ Legacy exon/intron No. of alleles % 65. c.2290CNT R764X# Ex13 1 0.08 66. c.2490+1GNA 2622+1GNA# In13 1 0.08 67. c.2538GNA W846X*# Ex14a 1 0.08 68. c.2551CNT R851X# Ex14a 1 0.08 69. c.2589_2599delAATTTGGTGCT 2721del11 Ex14a 1 0.08 70. c.2705delG 2837delG Ex15 1 0.08 71. c.2789delG 2921delG Ex15 1 0.08 72. c.2803_2813delCTACCACTGGT 2935del11 Ex15 1 0.08 73. c.2856GNC M952I Ex15 1 0.08 74. c.2991GNC L997F# Ex17a 1 0.08 75. c.3106delA 3238delA Ex17a 1 0.08 76. c.3136GNT E1046X Ex17a 1 0.08 77. c.3139GNC G1047R Ex17a 1 0.08 78. c.3196CNT R1066C*# Ex17b 1 0.08 79. c.3196CNG R1066G Ex17b 1 0.08 80. c.3302TNG M1101R Ex17b 1 0.08 81. c.3310GNA E1104K Ex17b 1 0.08 82. c.3353CNT S1118F Ex17b 1 0.08 83. c.3472CNT R1158X*# Ex19 1 0.08 84. c.3587CNG S1196X# Ex19 1 0.08 85. c.3708delT 3840delT Ex19 1 0.08 86. c.3937CNT Q1313X# Ex21 1 0.08 87. c.3971TNC L1324P Ex22 1 0.08 88. c.4003CNT L1335F Ex22 1 0.08 89. c.4004TNC L1335P Ex22 1 0.08 90. c.4097TNA I1366N Ex22 1 0.08 91. c.4426CNT Q1476X Ex24 1 0.08 92.
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ABCC7 p.Leu1335Pro 23276700:62:1201
status: NEW