2007
DOI: 10.1016/j.ygeno.2007.07.004
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Identification and in silico analysis of functional SNPs of the BRCA1 gene

Abstract: Single-nucleotide polymorphisms (SNPs) play a major role in the understanding of the genetic basis of many complex human diseases. Also, the genetics of human phenotype variation could be understood by knowing the functions of these SNPs. It is still a major challenge to identify the functional SNPs in a disease-related gene. In this work, we have analyzed the genetic variation that can alter the expression and the function of the BRCA1 gene using computational methods. Of the total 477 SNPs, 65 were found to … Show more

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Cited by 81 publications
(56 citation statements)
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“…Our study may suggest an alternative mutational mechanism because four patients without structural abnormality of BRCA1 or BRCA2 showed AI at transcribed polymorphisms, thereby suggesting the disruption of longdistance cis-regulatory elements 35,36 or mutations in the 3 0 -UTR that influence RNA half-life. 37 It is worth noting that these four patients have a high probability of bearing a mutation at a general autosomal dominant breast cancer susceptibility locus that is, 48 -89% depending on the case, and according to the Claus model modified by Easton. 15 However, all belong to female breast cancer-only families.…”
Section: Discussionmentioning
confidence: 99%
“…Our study may suggest an alternative mutational mechanism because four patients without structural abnormality of BRCA1 or BRCA2 showed AI at transcribed polymorphisms, thereby suggesting the disruption of longdistance cis-regulatory elements 35,36 or mutations in the 3 0 -UTR that influence RNA half-life. 37 It is worth noting that these four patients have a high probability of bearing a mutation at a general autosomal dominant breast cancer susceptibility locus that is, 48 -89% depending on the case, and according to the Claus model modified by Easton. 15 However, all belong to female breast cancer-only families.…”
Section: Discussionmentioning
confidence: 99%
“…[22][23][24][25] The SIFT programme was applied to prioritize three missense mutations in the exon 2 coding region of COL8A2. The tolerance index score for each mutation was 0.00, predicting a deleterious effect for each.…”
Section: Discussionmentioning
confidence: 99%
“…For a given amino acid substitution in a protein, PolyPhen-2 extracts various sequence and structure-based features of the substitution site and feeds them to a probabilistic classifier. [23] …”
Section: In Silico Analysismentioning
confidence: 99%