Genome Wide Association Analyses Based On Broadly Different Specifications For Prior Distributions, Genomic Windows, And Estimation Methods

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Steibel, Juan; Tempelman, Robert; Chen, Chunyu;
  • Related identifiers: doi: 10.1101/120808
  • Subject: bepress|Life Sciences|Biology | bepress|Life Sciences|Genetics and Genomics|Genetics

A popular strategy (EMMAX) for genome wide association (GWA) analysis fits all marker effects as classical random effects (i.e., Gaussian prior) by which association for the specific marker of interest is inferred by treating its effect as fixed. It seems more statistic... View more
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