GWAMA: software for genome-wide association meta-analysis

<p style="text-align:justify;"> <b>Background:</b> Despite the recent success of genome-wide association studies in identifying novel loci contributing effects to complex human traits, such as type 2 diabetes and obesity, much of the genetic component of variation in the...

詳細記述

書誌詳細
主要な著者: Mägi, R, Morris, A
フォーマット: Journal article
言語:English
出版事項: BioMed Central 2010

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