ArticleScientific reports2015
Pathway-Based Genome-Wide Association Studies for Two Meat Production Traits in Simmental Cattle.
Article in Scientific reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
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23 citing papers in PubMed, 46 citations in OpenAlex.
- Integration of GWAS and eQTL analysis reveals regulatory CNVs for fatty acid traits in cattle.iScience · 2026Article
- Genome-Wide Association Study for Milk Protein Content in Romanian Dual-Purpose Cattle.Life (Basel, Switzerland) · 2025Article
- Unlocking the genetic code: a comprehensive Genome-Wide association study and gene set enrichment analysis of cell-mediated immunity in chickens.BMC genomics · 2025Article
- Multiple strategies association revealed functional candidate FASN gene for fatty acid composition in cattle.Communications biology · 2025Article
- Genetic Association Analysis of Copy Number Variations for Meat Quality in Beef Cattle.Foods (Basel, Switzerland) · 2023Article
- Whole genome sequencing of simmental cattle for SNP and CNV discovery.BMC genomics · 2023Article
- Genome and chromosome wide association studies for growth traits in Simmental and Simbrah cattle.Animal bioscience · 2023Article
- Cis-eQTL Analysis and Functional Validation of Candidate Genes for Carcass Yield Traits in Beef Cattle.International journal of molecular sciences · 2022Article
- Runs of homozygosity analysis reveals consensus homozygous regions affecting production traits in Chinese Simmental beef cattle.BMC genomics · 2021Article
- Unraveling Admixture, Inbreeding, and Recent Selection Signatures in West African Indigenous Cattle Populations in Benin.Frontiers in genetics · 2021Article
- Genetic Polymorphism ofPharmacogenomics and personalized medicine · 2021Article
- Article
- Rumen fluid metabolomics of beef steers differing in feed efficiency.Metabolomics : Official journal of the Metabolomic Society · 2020Article
- Genomic Prediction and Association Analysis with Models Including Dominance Effects for Important Traits in Chinese Simmental Beef Cattle.Animals : an open access journal from MDPI · 2019Article
- Evaluation of GBLUP, BayesB and elastic net for genomic prediction in Chinese Simmental beef cattle.PloS one · 2019Article
- Single SNP- and pathway-based genome-wide association studies for beak deformity in chickens using high-density 600K SNP arrays.BMC genomics · 2018Article
- Assessment of runs of homozygosity islands and estimates of genomic inbreeding in Gyr (Bos indicus) dairy cattle.BMC genomics · 2018Article
- SNP co-association and network analyses identify E2F3, KDM5A and BACH2 as key regulators of the bovine milk fatty acid profile.Scientific reports · 2017Article
- Identification of SNPs associated with muscle yield and quality traits using allelic-imbalance analyses of pooled RNA-Seq samples in rainbow trout.BMC genomics · 2017Article
- Genome wide association study and genomic prediction for fatty acid composition in Chinese Simmental beef cattle using high density SNP array.BMC genomics · 2017Article
Corrections and comments
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Authors and funding
12 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Most single nucleotide polymorphisms (SNPs) detected by genome-wide association studies (GWAS), explain only a small fraction of phenotypic variation. Pathway-based GWAS were proposed to improve the proportion of genes for some human complex traits that could be explained by enriching a mass of SNPs within genetic groups. However, few attempts have been made to describe the quantitative traits in domestic animals. In this study, we used a dataset with approximately 7,700,000 SNPs from 807 Simmental cattle and analyzed live weight and longissimus muscle area using a modified pathway-based GWAS method to orthogonalise the highly linked SNPs within each gene using principal component analysis (PCA). As a result, of the 262 biological pathways of cattle collected from the KEGG database, the gamma aminobutyric acid (GABA)ergic synapse pathway and the non-alcoholic fatty liver disease (NAFLD) pathway were significantly associated with the two traits analyzed. The GABAergic synapse pathway was biologically applicable to the traits analyzed because of its roles in feed intake and weight gain. The proposed method had high statistical power and a low false discovery rate, compared to those of the smallest P-value and SNP set enrichment analysis methods.
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