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Dataset Information

Regional Heritability Mapping to identify loci underlying genetic variation of complex traits.


ABSTRACT:

Background

Genome-wide association studies can have limited power to identify QTL, partly due to the stringent correction for multiple testing and low linkage-disequilibrium between SNPs and QTL. Regional Heritability Mapping (RHM) has been advanced as an alternative approach to capture underlying genetic effects. In this study, RHM was used to identify loci underlying variation in the 16(th) QTLMAS workshop simulated traits.

Methods

The method was implemented by fitting a mixed model where a genomic region and the overall genetic background were added as random effects. Heritabilities for the genetic regional effects were estimated, and the presence of a QTL in the region was tested using a likelihood ratio test (LRT). Several region sizes were considered (100, 50 and 20 ad

SUBMITTER: Riggio V 

PROVIDER: S-EPMC4195407 | biostudies-literature | 2014

REPOSITORIES: biostudies-literature