Evaluation of heritability partitioning approaches in livestock populations.

ABSTRACT:

Background

Heritability partitioning approaches estimate the contribution of different functional classes, such as coding or regulatory variants, to the genetic variance. This information allows a better understanding of the genetic architecture of complex traits, including complex diseases, but can also help improve the accuracy of genomic selection in livestock species. However, methods have mainly been tested on human genomic data, whereas livestock populations have specific characteristics, such as high levels of relatedness, small effective population size or long-range levels of linkage disequilibrium.

Results

Here, we used data from 14,762 cows, imputed at the whole-genome sequence level for 11,537,240 variants, to simulate traits in a typical livestock population and

SUBMITTER: Yuan C 

PROVIDER: S-EPMC11246585 | biostudies-literature | 2024 Jul

REPOSITORIES: biostudies-literature