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. ; Visscher, Peter M.
; 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. ; Visscher, Peter M. 
Zusammenfassung
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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