Penalized multimarker vs. single-marker regression methods for genome-wide association studies of quantitative traits.

Abstract excerpt

The data from genome-wide association studies (GWAS) in humans are still predominantly analyzed using single-marker association methods. As an alternative to single-marker analysis (SMA), all or subsets of markers can be tested simultaneously. This approach requires a form of penalized regression (PR) as the number of SNPs is much larger than the sample size. Here we review PR methods in the context of GWAS,...

Topics

Share this publication in a Topic to start or enrich a Post.

• Share to Algorithms
• Share to Genome, Human
• Share to Genome-Wide Association Study