A co-association network analysis of the genetic determination of pig conformation, growth and fatness.

ABSTRACT:

Background

Several QTLs have been identified for major economically relevant traits in livestock, such as growth and meat quality, revealing the complex genetic architecture of these traits. The use of network approaches considering the interactions of multiple molecules and traits provides useful insights into the molecular underpinnings of complex traits. Here, a network based methodology, named Association Weight Matrix, was applied to study gene interactions and pathways affecting pig conformation, growth and fatness traits.

Results

The co-association network analysis underpinned three transcription factors, PPARγ, ELF1, and PRDM16 involved in mesoderm tissue differentiation. Fifty-four genes in the network belonged to growth-related ontologies and 46 of them were common

SUBMITTER: Puig-Oliveras A 

PROVIDER: S-EPMC4263716 | biostudies-literature | 2014

REPOSITORIES: biostudies-literature