期刊
BIOINFORMATICS
卷 30, 期 14, 页码 2086-2088出版社
OXFORD UNIV PRESS
DOI: 10.1093/bioinformatics/btu171
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资金
- Australian Research Council [FT0991022]
- National Heath and Medical Research Council [APP0613674]
- Australian Research Council [FT0991022] Funding Source: Australian Research Council
.Summary: The genomics era provides opportunities to assess the genetic overlap across phenotypes at the measured genotype level; however, current approaches require individual-level genome-wide association (GWA) single nucleotide polymorphism (SNP) genotype data in one or both of a pair of GWA samples. To facilitate the discovery of pleiotropic effects and examine genetic overlap across two phenotypes, I have developed a user-friendly web-based application called SECA to perform SNP effect concordance analysis using GWA summary results. The method is validated using publicly available summary data from the Psychiatric Genomics Consortium.
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