Genome-wide association studies pathway-based meta-analysis for residual feed intake in beef cattle

D A S Duarte, C J Newbold, E Detmann, F F Silva*, P H F Freitas, R Veroneze, M S Duarte

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

26 Citations (Scopus)

Abstract

Genome-wide association studies (GWASes) have been performed to search for genomic regions associated with residual feed intake (RFI); however inconsistent results have been obtained. A meta-analysis may improve these results by decreasing the false-positive rate. Additionally, pathway analysis is a powerful tool that complements GWASes, as it enables identification of gene sets involved in the same pathway that explain the studied phenotype. Because there are no reports on GWAS pathways-based meta-analyses for RFI in beef cattle, we used several GWAS results to search for significant pathways that may explain the genetic mechanism underlying this trait. We used an efficient permutation hypothesis test that takes into account the linkage disequilibrium patterns between SNPs and the functional feasibility of the identified genes over the whole genome. One significant pathway (valine, leucine and isoleucine degradation) related to RFI was found. The three genes in this pathway-methylcrotonoyl-CoA carboxylase 1 (MCCC1), aldehyde oxidase 1 (AOX1) and propionyl-CoA carboxylase alpha subunit (PCCA)-were found in three different studies. This same pathway was also reported in a transcriptome analysis from two cattle populations divergently selected for high and low RFI. We conclude that a GWAS pathway-based meta-analysis can be an appropriate method to uncover biological insights into RFI by combining useful information from different studies.

Original languageEnglish
Pages (from-to)150-153
Number of pages4
JournalAnimal Genetics
Volume50
Issue number2
Early online date15 Jan 2019
DOIs
Publication statusPrint publication - Apr 2019

Bibliographical note

© 2019 Stichting International Foundation for Animal Genetics

Keywords

  • Circular permutation test
  • Feed efficiency
  • Linkage disequilibrium
  • Post-GWAS

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