A weighted burden test using logistic regression for integrated analysis of sequence variants, copy number variants and polygenic risk score.

ABSTRACT: Previously described methods of analysis allow variants in a gene to be weighted more highly according to rarity and/or predicted function and then for the variant contributions to be summed into a gene-wise risk score, which can be compared between cases and controls using a t-test. However, this does not allow incorporating covariates into the analysis. Schizophrenia is an example of an illness where there is evidence that different kinds of genetic variation can contribute to risk, including common variants contributing to a polygenic risk score (PRS), very rare copy number variants (CNVs) and sequence variants. A logistic regression approach has been implemented to compare the gene-wise risk scores between cases and controls, while incorporating as covariates population principal compo

SUBMITTER: Curtis D 

PROVIDER: S-EPMC6303265 | biostudies-literature | 2019 Jan

REPOSITORIES: biostudies-literature