Meta-GWAS Accuracy and Power (MetaGAP) Calculator Shows that Hiding Heritability Is Partially Due to Imperfect Genetic Correlations across Studies.

Meta-GWAS Accuracy and Power (MetaGAP) Calculator Shows that Hiding Heritability Is Partially Due to Imperfect Genetic Correlations across Studies.

Large-scale genome-wide association results are typically obtained from a fixed-effects meta-analysis of GWAS summary statistics from multiple studies spanning different regions and/or time periods. This approach averages the estimated effects of genetic variants across studies. In case genetic effe...

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Bibliographic Details
Main Authors: Ronald de Vlaming, Aysu Okbay, Cornelius A Rietveld, Magnus Johannesson, Patrik K E Magnusson, André G Uitterlinden, Frank J A van Rooij, Albert Hofman, Patrick J F Groenen, A Roy Thurik, Philipp D Koellinger
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2017-01-01
Series:PLoS Genetics
Online Access:https://journals.plos.org/plosgenetics/article/file?id=10.1371/journal.pgen.1006495&type=printable
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https://journals.plos.org/plosgenetics/article/file?id=10.1371/journal.pgen.1006495&type=printable

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