Utilization of information from gene networks towards a better understanding of functional similarities between complex traits: a dairy cattle model.

ABSTRACT: Our study focused on quantifying functional similarities between complex traits recorded in dairy cattle: milk yield, fat yield, protein yield, somatic cell score and stature. Similarities were calculated based on gene sets forming gene networks and on gene ontology term sets underlying genes estimated as significant for the analysed traits. Gene networks were obtained by the Bisogenet and Gene Set Linkage Analysis (GSLA) software. The highest similarity was observed between milk yield and fat yield. A very low degree of similarity was attributed to protein yield and stature when using gene sets as a similarity criterion, as well as to protein yield and fat yield when using sets of gene ontology terms. Pearson correlation coefficients between gene effect estimates, representing additive po

SUBMITTER: Fraszczak M 

PROVIDER: S-EPMC4731432 | biostudies-literature | 2016 Feb

REPOSITORIES: biostudies-literature