Large-scale characterization of public database SNPs causing non-synonymous changes in three ethnic groups |
| |
Authors: | James Ireland Victoria E.H. Carlton Matthew Falkowski Martin Moorhead Karen Tran Francisco Useche Paul Hardenbol Ayca Erbilgin Ron Fitzgerald Thomas D. Willis Malek Faham |
| |
Affiliation: | (1) Affymetrix, ParAllele BioScience, 7300 Shoreline Blvd, South San Francisco, CA 94080, USA |
| |
Abstract: | ![]() Single nucleotide polymorphisms (SNPs) that lead to non-synonymous changes in proteins may have functional effects and be subject to selection. Hence they are of particular interest in the study of genetic diseases. We have genotyped approximately 28,000 such SNPs in three ethnic populations (the HapMap plates) and ten primate species and analyzed these data for evidence of selection. We find SNPs predicted by PolyPhen to be damaging, have lower allele frequencies, and are particularly likely to be population-specific. We have also grouped SNPs by molecular function or biological process of the associated genes and find evidence that selection may be acting in concert on classes of genes. Electronic Supplementary Material Supplementary material is available for this article at and is accessible for authorized users. James Ireland and Victoria E.H. Carlton contributed equally |
| |
Keywords: | Non-synonymous SNPs HapMap Selection Gene ontology |
本文献已被 PubMed SpringerLink 等数据库收录! |