Article
GWAMA: software for genome-wide association meta-analysis.
BMC bioinformatics - 28 May 2010
Mägi Reedik, Morris Andrew P
Abstract excerpt
BACKGROUND: 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 these phenotypes remains unexplained. One way to improving power to detect further novel loci is through meta-analysis of studies from the same population, increasing the sample size over...
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