Weight gain is a key performance trait for beef cattle; however, attention should be given to the production costs for better profitability. Therefore, a feed efficiency trait based on performance can be an interesting approach to improve performance without increasing food costs. To identify candidate genes and genomic regions associated with residual body weight gain (RWG), we conducted a genome-wide association study (GWAS) with 720 Nellore cattle using the GRAMMAR-Gamma association test.
Genome-wide association study
The aims of this study were to identify candidate single-nucleotide polymorphisms (SNPs) and mechanisms of amyotrophic lateral sclerosis (ALS) and to generate SNP-to-gene-to-pathway hypotheses. An ALS genome-wide association study (GWAS) dataset that included 483,051 SNPs in 276 patients with ALS and 271 controls of European descent was used in this study. Identify Candidate Causal SNPs and Pathway (ICSNPathway) analysis was applied to the GWAS dataset. ICSNPathway analysis identified 19 candidate SNPs, 8 genes, and 9 pathways, which provided 8 hypothetical biological mechanisms.
Whole genome selection represents an important tool for improving parameters related to the production of livestock. In order to build genomic selection indexes within a particular breed, it is important to identify polymorphisms that have the most significant association with a desired trait. A genome-wide marker association approach based on the Illumina BovineSNP50 BeadChipTM was used to identify genomic regions affecting birth weight (BW), weaning weight (WW), and daily weight gain (DWG) in purebred and crossbred creole cattle populations.