Multiple linear combination (MLC) regression tests for common variants adapted to linkage disequilibrium structure.

ABSTRACT: By jointly analyzing multiple variants within a gene, instead of one at a time, gene-based multiple regression can improve power, robustness, and interpretation in genetic association analysis. We investigate multiple linear combination (MLC) test statistics for analysis of common variants under realistic trait models with linkage disequilibrium (LD) based on HapMap Asian haplotypes. MLC is a directional test that exploits LD structure in a gene to construct clusters of closely correlated variants recoded such that the majority of pairwise correlations are positive. It combines variant effects within the same cluster linearly, and aggregates cluster-specific effects in a quadratic sum of squares and cross-products, producing a test statistic with reduced degrees of freedom (df) equal to th

SUBMITTER: Yoo YJ 

PROVIDER: S-EPMC5245123 | biostudies-literature | 2017 Feb

REPOSITORIES: biostudies-literature