Nonlinear post-selection inference for genome-wide association studies.

Abstract excerpt

To address the lack of statistical power and interpretability of genome-wide association studies (GWAS), gene-level analyses combine the p-values of individual single nucleotide polymorphisms (SNPs) into gene statistics. However, using all SNPs mapped to a gene, including those with low association scores, can mask the association signal of a gene.We therefore propose a new two-step strategy, consisting in first...

Topics

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

• Share to Computational Biology
• Share to Genome-Wide Association Study