Genome Association Study for Visual Scores in Nellore Cattle Measured at Weaning

BMC Genomics
Luis Orlando Duitama CarreñoRicardo da Fonseca

Abstract

Genome-wide association studies (GWAS) are utilized in cattle to identify regions or genetic variants associated with phenotypes of interest, and thus, to identify design strategies that allow for the increase of the frequency of favorable alleles. Visual scores are important traits of cattle production in Brazil because they are utilized as selection criteria, helping to choose more harmonious animals. Despite its importance, there are still no studies on the genome association for these traits. This study aimed to identify genome regions associated with the traits of conformation, precocity and muscling, based on a visual score measured at weaning. Bayesian approaches with BayesC and Bayesian LASSO were utilized with 2873 phenotypes of Nellore cattle for a GWAS. The animals were genotyped with Illumina BovineHD BeadChip, and a total of 309,865 SNPs were utilized after quality control. In the analyses, phenotype and deregressed breeding values were utilized as dependent variables; a threshold model was utilized for the former and a linear model for the latter. The association criterion was the percentage of genetic variance explained by SNPs found in 1 Mb-long windows. The Bayesian approach BayesC was better adjusted to the da...Continue Reading

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Citations

Oct 31, 2020·Briefings in Bioinformatics·Shanwen SunQuan Zou
Jun 1, 2021·Animal Biotechnology·Nara R B CônsoloSaulo L Silva

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Methods Mentioned

BETA
genotyping

Software Mentioned

BayesC
BGLR
LASSO
R
THRGIBBS1F90
BayesC LASSO
snpStats

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