Variance explained by whole genome sequence variants in coding and regulatory genome annotations for six dairy traits.

ABSTRACT: BACKGROUND:There are an exceedingly large number of sequence variants discovered through whole genome sequencing in most populations, including cattle. Deciphering which of these affect complex traits is a major challenge. In this study we hypothesize that variants in some functional classes, such as splice site regions, coding regions, DNA methylated regions and long noncoding RNA will explain more variance in complex traits than others. Two variance component approaches were used to test this hypothesis - the first determines if variants in a functional class capture a greater proportion of the variance, than expected by chance, the second uses the proportion of variance explained when variants in all annotations are fitted simultaneously. RESULTS:Our data set consisted of 28.3 million i

SUBMITTER: Koufariotis LT 

PROVIDER: S-EPMC5885354 | biostudies-literature | 2018 Apr

REPOSITORIES: biostudies-literature