A correction for sample overlap in genome-wide association studies in a polygenic pleiotropy-informed framework

A correction for sample overlap in genome-wide association studies in a polygenic pleiotropy-informed framework

Abstract Background There is considerable evidence that many complex traits have a partially shared genetic basis, termed pleiotropy. It is therefore useful to consider integrating genome-wide association study (GWAS) data across several traits, usually at the summary statistic level. A major practi...

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Bibliographic Details
Main Authors: Marissa LeBlanc, Verena Zuber, Wesley K. Thompson, Ole A. Andreassen, Schizophrenia and Bipolar Disorder Working Groups of the Psychiatric Genomics Consortium, Arnoldo Frigessi, Bettina Kulle Andreassen
Format: Article
Language:English
Published: BMC 2018-06-01
Series:BMC Genomics
Subjects:
Data integration
Meta-analysis with shared subjects
Covariate-modulated false discovery rate
Cross-phenotype association
Online Access:http://link.springer.com/article/10.1186/s12864-018-4859-7

Internet

http://link.springer.com/article/10.1186/s12864-018-4859-7

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