ABCC7 p.Arg933Gly
| ClinVar: |
c.2797A>G
,
p.Arg933Gly
?
, not provided
c.2799A>T , p.Arg933Ser ? , not provided |
| CF databases: |
c.2799A>T
,
p.Arg933Ser
(CFTR1)
D
, R933S was found in a German patient with CBAVD who is also heterozygous for [delta]F508.
c.2797A>G , p.Arg933Gly (CFTR1) D , |
| Predicted by SNAP2: | A: D (75%), C: D (66%), D: D (91%), E: D (85%), F: D (75%), G: D (85%), H: D (80%), I: D (75%), K: D (75%), L: D (80%), M: D (71%), N: D (85%), P: D (91%), Q: D (75%), S: D (71%), T: D (71%), V: D (80%), W: D (91%), Y: D (85%), |
| Predicted by PROVEAN: | A: N, C: N, D: D, E: N, F: D, G: N, H: N, I: N, K: N, L: N, M: N, N: N, P: D, Q: N, S: N, T: N, V: N, W: N, Y: N, |
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[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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No. Sentence Comment
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.Arg933Gly 20059485:64:379
status: NEW[hide] Measurement of nasal potential difference in young... Thorax. 2010 Jun;65(6):539-44. Sermet-Gaudelus I, Girodon E, Roussel D, Deneuville E, Bui S, Huet F, Guillot M, Aboutaam R, Renouil M, Munck A, des Georges M, Iron A, Thauvin-Robinet C, Fajac I, Lenoir G, Roussey M, Edelman A
Measurement of nasal potential difference in young children with an equivocal sweat test following newborn screening for cystic fibrosis.
Thorax. 2010 Jun;65(6):539-44., [PMID:20522854]
Abstract [show]
BACKGROUND: A challenging problem arising from cystic fibrosis (CF) newborn screening is the significant number of infants with hypertrypsinaemia (HIRT) with sweat chloride levels in the intermediate range and only one or no identified CF-causing mutations. OBJECTIVES: To investigate the diagnostic value for CF of assessing CF transmembrane conductance regulator (CFTR) protein function by measuring nasal potential difference in children with HIRT. METHODS: A specially designed protocol was used to assess nasal potential difference (NPD) in 23 young children with HIRT (3 months-4 years) with inconclusive neonatal screening. Results were analysed with a composite score including CFTR-dependent sodium and chloride secretion. Results were correlated with genotype after extensive genetic screening and with clinical phenotype at follow-up 3 years later. RESULTS: NPD was interpretable for 21 children with HIRT: 13 had NPD composite scores in the CF range. All 13 were finally found to carry two CFTR mutations. At follow-up, nine had developed a chronic pulmonary disease consistent with a CF diagnosis. The sweat test could be repeated in nine children, and six had sweat chloride values >or=60 mmol/l. Of the eight children with normal NPD scores, only two had two CFTR mutations, both wide-spectrum mutations. None had developed a CF-like lung disease at follow-up. The sweat test could be reassessed in five of these eight children and all had sweat chloride values <60 mmol/l. CF diagnosis was ruled out in six of these eight children. CONCLUSION: Evaluation of CFTR function in the nasal epithelium of young children with inconclusive results at CF newborn screening is a useful diagnostic tool for CF.
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No. Sentence Comment
84 A second mutation was subsequently identified in all three (621+3A/G, R933G and Q1291R) while the other two with diagnostic scores in the normal range had no other mutation and were asymptomatic at follow-up.
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ABCC7 p.Arg933Gly 20522854:84:70
status: NEW130 Table 3 Genotypes of the children with HIRT according to the diagnostic score cut-off in the 21 patients with reliable NPD tests; results after extensive genetic analysis CFTR genotypes Diagnosis score >0.27 (8 patients) £0.27 (13 patients) A/A 0 F508del/621+3A/G F508del/Q1291R A/AB F508del/R347H F508del/R117H;T7 W846X/R117C n¼2 F508del/R1070W 2183AA/G/L206W F508del/3272-26A/G F508del/R117H;T7; n¼4 A/D 0 F508del/R933G G551D/R352Q B/D G622D/3849+45G/A 0 A/0 F508del/0 n¼2 0 0/0 3 0 0, no identified mutation; A, CF-causing mutation; B, mutation associated with cystic CFTR-related disorders; C, mutation with no clinical consequence ; D, mutation of unknown or uncertain clinical relevance; AB, mutation that is associated with a wide phenotypic spectrum that might belong to either group A or B. CFTR, cystic fibrosis transmembrane conductance regulator; HIRT, hypertrypsinaemia; NPD, nasal potential difference.
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ABCC7 p.Arg933Gly 20522854:130:431
status: NEW[hide] Phenotype-optimized sequence ensembles substantial... Hum Mutat. 2012 Aug;33(8):1267-74. doi: 10.1002/humu.22110. Epub 2012 May 22. Masica DL, Sosnay PR, Cutting GR, Karchin R
Phenotype-optimized sequence ensembles substantially improve prediction of disease-causing mutation in cystic fibrosis.
Hum Mutat. 2012 Aug;33(8):1267-74. doi: 10.1002/humu.22110. Epub 2012 May 22., [PMID:22573477]
Abstract [show]
Cystic fibrosis transmembrane conductance regulator (CFTR) mutation is associated with a phenotypic spectrum that includes cystic fibrosis (CF). The disease liability of some common CFTR mutations is known, but rare mutations are seen in too few patients to categorize unequivocally, making genetic diagnosis difficult. Computational methods can predict the impact of mutation, but prediction specificity is often below that required for clinical utility. Here, we present a novel supervised learning approach for predicting CF from CFTR missense mutation. The algorithm begins by constructing custom multiple sequence alignments called phenotype-optimized sequence ensembles (POSEs). POSEs are constructed iteratively, by selecting sequences that optimize predictive performance on a training set of CFTR mutations of known clinical significance. Next, we predict CF disease liability from a different set of CFTR mutations (test-set mutations). This approach achieves improved prediction performance relative to popular methods recently assessed using the same test-set mutations. Of clinical significance, our method achieves 94% prediction specificity. Because databases such as HGMD and locus-specific mutation databases are growing rapidly, methods that automatically tailor their predictions for a specific phenotype may be of immediate utility. If the performance achieved here generalizes to other systems, the approach could be an excellent tool to help establish genetic diagnoses.
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No. Sentence Comment
153 Of the 103 test-set mutations, two CF-neutral mutations had a score higher than one standard deviation above the mean (G550R and R933G), and two CF-causing mutations had scores lower than one standard deviation below the mean (G85V and T338I); these four mutations were consistently the most difficult to accurately rank with our method.
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ABCC7 p.Arg933Gly 22573477:153:129
status: NEW