ArticleScientific reports2018
Genome wide association study identifies novel potential candidate genes for bovine milk cholesterol content.
Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed, 38 citations in OpenAlex.
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- Are SNPs Linked to Somatic Cell Score Suitable Markers for the Susceptibility to Specific Mastitis Pathogens in Holstein Cows?Journal of animal breeding and genetics = Zeitschrift fur Tierzuchtung und Zuchtungsbiologie · 2025Article
- Genetic advancements and future directions in ruminant livestock breeding: from reference genomes to multiomics innovations.Science China. Life sciences · 2025Review
- Unveiling Genetic Markers for Milk Yield in Xinjiang Donkeys: A Genome-Wide Association Study and Kompetitive Allele-Specific PCR-Based Approach.International journal of molecular sciences · 2025Article
- Exploring genetic variants affecting milk production traits through genome-wide association study in Vrindavani crossbred cattle of India.Tropical animal health and production · 2025Article
- Analysis of Population Structure and Selective Signatures for Milk Production Traits in Xinjiang Brown Cattle and Chinese Simmental Cattle.International journal of molecular sciences · 2025Article
- A Single-Cell Atlas of Porcine Skeletal Muscle Reveals Mechanisms That Regulate Intramuscular Adipogenesis.International journal of molecular sciences · 2024Article
- Genome-wide association studies for milk production traits and persistency of first calving Holstein cattle in Türkiye.Frontiers in veterinary science · 2024Article
- Developing flexible models for genetic evaluations in smallholder crossbred dairy farms.Journal of dairy science · 2023Article
- Understanding the underlying genetic mechanisms for age at first calving, inter-calving period and scrotal circumference in Bonsmara cattle.BMC genomics · 2023Article
- Weighted Single-Step Genome-Wide Association Study Uncovers Known and Novel Candidate Genomic Regions for Milk Production Traits and Somatic Cell Score in Valle del Belice Dairy Sheep.Animals : an open access journal from MDPI · 2022Article
- Article
- Genetic Parameter Estimation and Genome-Wide Association Study-Based Loci Identification of Milk-Related Traits in Chinese Holstein.Frontiers in genetics · 2021Article
- Advances in fatty acids nutrition in dairy cows: from gut to cells and effects on performance.Journal of animal science and biotechnology · 2020Review
- Genomic regions influencing intramuscular fat in divergently selected rabbit lines.Animal genetics · 2020Article
- Selection signatures in two oldest Russian native cattle breeds revealed using high-density single nucleotide polymorphism analysis.PloS one · 2020Article
- Deciphering GRINA/Lifeguard1: Nuclear Location, CaInternational journal of molecular sciences · 2019Review
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Authors and funding
5 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This study aimed to identify single nucleotide polymorphisms (SNPs) associated with milk cholesterol (CHL) content via a genome wide association study (GWAS). Milk CHL content was determined by gas chromatography and expressed as mg of CHL in 100 g of fat (CHL_fat) or in 100 mg of milk (CHL_milk). GWAS was performed with 1,183 cows and 40,196 SNPs using a univariate linear mixed model. Two and 20 SNPs were significantly associated with CHL_fat and CHL_milk, respectively. The important regions for CHL_fat and CHL_milk were at 41.9 Mb on chromosome (BTA) 17 and 1.6-3.2 Mb on BTA 14, respectively. DGAT1, PTPN1, INSIG1, HEXIM1, SDS, and HTR5A genes, also known to be associated with human plasma CHL phenotypes, were identified as potential candidate genes for bovine milk CHL. Additional new potential candidate genes for milk CHL were RXFP1, FAM198B, TMEM144, CXXC4, MAML2 and CDH13. Enrichment analyses suggested that identified candidate genes participated in cell-cell signaling processes and are key members in tight junction, focal adhesion, Notch signaling and glycerolipid metabolism pathways. Furthermore, identified transcription factors such as PPARD, LXR, and NOTCH1 might be important in the regulation of bovine milk CHL content. The expression of several positional candidate genes (such as DGAT1, INSIG1 and FAM198B) and their correlation with milk CHL content were further confirmed with RNA sequence data from mammary gland tissues. This is the first GWAS on bovine milk CHL. The identified markers and candidate genes need further validation in a larger cohort for use in the selection of cows with desired milk CHL content.
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