Comparison of gene-based rare variant association mapping methods for quantitative traits in a bovine population with complex familial relationships.

ABSTRACT:

Background

There is growing interest in the role of rare variants in the variation of complex traits due to increasing evidence that rare variants are associated with quantitative traits. However, association methods that are commonly used for mapping common variants are not effective to map rare variants. Besides, livestock populations have large half-sib families and the occurrence of rare variants may be confounded with family structure, which makes it difficult to disentangle their effects from family mean effects. We compared the power of methods that are commonly applied in human genetics to map rare variants in cattle using whole-genome sequence data and simulated phenotypes. We also studied the power of mapping rare variants using linear mixed models (LMM), which are the me

SUBMITTER: Zhang Q 

PROVIDER: S-EPMC4989328 | biostudies-literature | 2016 Aug

REPOSITORIES: biostudies-literature