Region-Based Association Test for Familial Data under Functional Linear Models.

ABSTRACT: Region-based association analysis is a more powerful tool for gene mapping than testing of individual genetic variants, particularly for rare genetic variants. The most powerful methods for regional mapping are based on the functional data analysis approach, which assumes that the regional genome of an individual may be considered as a continuous stochastic function that contains information about both linkage and linkage disequilibrium. Here, we extend this powerful approach, earlier applied only to independent samples, to the samples of related individuals. To this end, we additionally include a random polygene effects in functional linear model used for testing association between quantitative traits and multiple genetic variants in the region. We compare the statistical power of differ

SUBMITTER: Svishcheva GR 

PROVIDER: S-EPMC4481467 | biostudies-literature | 2015

REPOSITORIES: biostudies-literature