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Across-cohort QC analyses of GWAS summary statistics from complex traits

Chen, Guo-Bo , Lee, Sang Hong , Robinson, Matthew R , Trzaskowski, Maciej , Zhu, Zhi-Xiang, Winkler, Thomas W, Day, Felix R , Croteau-Chonka, Damien C, Wood, Andrew R, Locke, Adam E, Kutalik, Zoltán, Loos, Ruth J F , Frayling, Timothy M, Hirschhorn, Joel N, Yang, Jian , Wray, Naomi R and Visscher, Peter M (2017) Across-cohort QC analyses of GWAS summary statistics from complex traits. European Journal of Human Genetics 25 (1), pp. 137-146.

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Other URL: http://doi.org/10.1038/ejhg.2016.106


Abstract

Genome-wide association studies (GWASs) have been successful in discovering SNP trait associations for many quantitative traits and common diseases. Typically, the effect sizes of SNP alleles are very small and this requires large genome-wide association meta-analyses (GWAMAs) to maximize statistical power. A trend towards ever-larger GWAMA is likely to continue, yet dealing with summary ...

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Item type:Article
Date:2017
Institutions:Medicine > Lehrstuhl für Psychiatrie und Psychotherapie
Identification Number:
ValueType
10.1038/ejhg.2016.106DOI
Keywords:GENOME-WIDE ASSOCIATION; METAANALYSIS; INSIGHTS;
Dewey Decimal Classification:600 Technology > 610 Medical sciences Medicine
Status:Published
Refereed:Yes, this version has been refereed
Created at the University of Regensburg:Yes
Item ID:38501
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