ABCMdb

ABCC7 p.Arg1102Lys

ClinVar:	c.3304A>T , p.Arg1102* ? , not provided
CF databases:	c.3304A>T , p.Arg1102* D , CF-causing
Predicted by SNAP2:	A: D (80%), C: D (75%), D: D (91%), E: D (91%), F: D (85%), G: D (85%), H: D (75%), I: D (85%), K: D (71%), L: D (85%), M: D (75%), N: D (85%), P: D (91%), Q: D (80%), S: D (75%), T: D (66%), V: D (80%), W: D (71%), Y: D (71%),
Predicted by PROVEAN:	A: D, C: D, D: D, E: D, F: D, G: D, H: D, I: D, K: N, L: D, M: D, N: D, P: D, Q: D, S: D, T: D, V: D, W: D, Y: D,

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Publications
[hide] A novel computational and structural analysis of n... Genomic Med. 2008 Jan;2(1-2):23-32. Epub 2008 May 14. George Priya Doss C, Rajasekaran R, Sudandiradoss C, Ramanathan K, Purohit R, Sethumadhavan R
A novel computational and structural analysis of nsSNPs in CFTR gene.
Genomic Med. 2008 Jan;2(1-2):23-32. Epub 2008 May 14., [PMID:18716917]

Abstract [show]
Single Nucleotide Polymorphisms (SNPs) are being intensively studied to understand the biological basis of complex traits and diseases. The Genetics of human phenotype variation could be understood by knowing the functions of SNPs. In this study using computational methods, we analyzed the genetic variations that can alter the expression and function of the CFTR gene responsible candidate for causing cystic fibrosis. We applied an evolutionary perspective to screen the SNPs using a sequence homology-based SIFT tool, which suggested that 17 nsSNPs (44%) were found to be deleterious. The structure-based approach PolyPhen server suggested that 26 nsSNPS (66%) may disrupt protein function and structure. The PupaSuite tool predicted the phenotypic effect of SNPs on the structure and function of the affected protein. Structure analysis was carried out with the major mutation that occurred in the native protein coded by CFTR gene, and which is at amino acid position F508C for nsSNP with id (rs1800093). The amino acid residues in the native and mutant modeled protein were further analyzed for solvent accessibility, secondary structure and stabilizing residues to check the stability of the proteins. The SNPs were further subjected to iHAP analysis to identify htSNPs, and we report potential candidates for future studies on CFTR mutations.

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No. Sentence Comment
125 The nsSNPs which were predicted to be Table 1 List of nsSNPs that were predicted to be deleterious by SIFT and PolyPhen SNPs ID Alleles AA change Tolerance index PSIC rs1800072 G/A V11C 1.00 0.150 rs1800073 C/T R31C 0.18 2.288 rs1800074 A/T D44V 0.01 2.532 rs1800076 G/A R75Q 0.03 1.754 rs1800078 T/C L138P 0.01 2.192 rs35516286 T/C I148T 0.41 1.743 rs1800079 G/A R170H 0.05 1.968 rs1800080 A/G S182G 0.03 1.699 rs1800086 C/G T351S 0.30 1.600 rs1800087 A/C Q353H 0.03 2.093 rs4727853 C/A N417K 1.00 0.015 rs11531593 C/A F433L 0.65 0.694 rs1800089 C/T L467F 0.15 1.568 rs213950 G/A V470M 0.17 1.432 rs1800092 C/A/G I506M 0.00 1.574 rs1801178 A/G I507V 0.38 0.314 rs1800093 T/G F508C 0.00 3.031 rs35032490 A/G K532E 1.00 1.525 rs1800097 G/A V562I 0.13 0.345 rs41290377 G/C G576A 0.33 1.262 rs766874 C/T S605F 0.03 2.147 rs1800099 A/G S654G 0.03 1.611 rs1800100 C/T R668C 0.01 2.654 rs1800101 T/C F693L 0.61 0.895 rs1800103 A/G I807M 0.01 1.554 rs1800106 T/C Y903H 0.52 0.183 rs1800107 G/T S909I 0.10 1.624 rs1800110 T/C L967S 0.07 1.683 rs1800111 G/C L997F 0.24 1.000 rs1800112 T/C I1027T 0.03 1.860 rs1800114 C/T A1067V 0.04 1.542 rs36210737 T/A M1101K 0.05 2.637 rs35813506 G/A R1102K 0.52 1.589 rs1800120 G/T R1162L 0.00 2.038 rs1800123 C/T T1220I 0.22 0.059 rs34911792 T/G S1235R 0.45 1.483 rs11971167 G/A D1270N 0.12 1.739 rs4148725 C/T R1453W 0.00 2.513 Highly deleterious by SIFT and damaging by PolyPhen are indicated as bold deleterious in causing an effect in the structure and function of the protein by SIFT, PolyPhen and Pupasuite correlated well with experimental studies (Tsui 1992; Ghanem et al. 1994; Bienvenu et al. 1998) (Table 3). Login to comment