Predicting functionally important SNP classes based on negative selection |
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Authors: | Mark A Levenstien Robert J Klein |
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Institution: | (1) 1Program in Cancer Biology and Genetics, Memorial Sloan-Kettering Cancer Center, 10065 New York, NY, USA |
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Abstract: | Background With the advent of cost-effective genotyping technologies, genome-wide association studies allow researchers to examine hundreds
of thousands of single nucleotide polymorphisms (SNPs) for association with human disease. Recently, many researchers applying
this strategy have detected strong associations to disease with SNP markers that are either not in linkage disequilibrium
with any nonsynonymous SNP or large distances from any annotated gene. In such cases, no well-established standard practice
for effective SNP selection for follow-up studies exists. We aim to identify and prioritize groups of SNPs that are more likely
to affect phenotypes in order to facilitate efficient SNP selection for follow-up studies. |
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Keywords: | |
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