ArticleScientific reports2016
High density genome wide genotyping-by-sequencing and association identifies common and low frequency SNPs, and novel candidate genes influencing cow milk traits.
Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 60 papers, 2 of them syntheses that pooled it.
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Who cites it
60 citing papers in PubMed, 2 syntheses or guidelines pooled it, 121 citations in OpenAlex.
- Meta-analysis for milk fat and protein percentage using imputed sequence variant genotypes in 94,321 cattle from eight cattle breeds.Genetics, selection, evolution : GSE · 2020Pooled it
- Effect direction meta-analysis of GWAS identifies extreme, prevalent and shared pleiotropy in a large mammal.Communications biology · 2020Pooled it
- Influence of genomic retained heterosis on lactation persistence and tropical resilience: leveraging joint-model GWAS to quantify non-additive variance in India's Karan Fries population.Tropical animal health and production · 2026Article
- Runs of homozygosity in Italian Holstein bulls: a permutation approach and time-based mapping of the genomic regions potentially under selection.BMC genomics · 2026Article
- Integrating selective signatures and Cis-eQTLs to prioritize candidate genes potentially related to milk production traits in dual-purpose cattle.Frontiers in veterinary science · 2026Article
- Genetic assessment and Identification of genes related to characterization of Guangdong local goose breeds based on modern and historical genomes.Communications biology · 2025Article
- Genomic prediction and genetic parameter estimation for unsaturated and saturated fatty acids in Canadian dairy cattle.Scientific reports · 2025Article
- A primer on sequencing and genotype imputation in cattle.Journal of animal science · 2025Review
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- Effects of Genetic Polymorphism in theAnimals : an open access journal from MDPI · 2024Article
- Detection and evaluation of parameters influencing the identification of heterozygous-enriched regions in Holstein cattle based on SNP chip or whole-genome sequence data.BMC genomics · 2024Article
- Whole Genome Scan Uncovers Candidate Genes Related to Milk Production Traits in Barka Cattle.International journal of molecular sciences · 2024Article
- Polymorphisms ofAnimals : an open access journal from MDPI · 2024Article
- Phenotypic and genetic characterization of unexplored, potential cattle population of Madhya Pradesh.Tropical animal health and production · 2024Article
- Whole-genome resequencing of native and imported dairy goat identifies genes associated with productivity and immunity.Frontiers in veterinary science · 2024Article
- Genome-wide analysis of the Siboney de Cuba cattle breed: genetic characterization and framing with cattle breeds worldwide.Frontiers in genetics · 2024Article
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- Transcriptome Profile in Dairy Cows Resistant or Sensitive to Milk Fat Depression.Animals : an open access journal from MDPI · 2023Article
- Genome-wide association study revealed suggestive QTLs for production and reproduction traits in Indian Murrah buffalo.3 Biotech · 2023Article
Corrections and comments
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Authors and funding
5 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
High-throughput sequencing technologies have increased the ability to detect sequence variations for complex trait improvement. A high throughput genome wide genotyping-by-sequencing (GBS) method was used to generate 515,787 single nucleotide polymorphisms (SNPs), from which 76,355 SNPs with call rates >85% and minor allele frequency ≥1.5% were used in genome wide association study (GWAS) of 44 milk traits in 1,246 Canadian Holstein cows. GWAS was accomplished with a mixed linear model procedure implementing the additive and dominant models. A strong signal within the centromeric region of bovine chromosome 14 was associated with test day fat percentage. Several SNPs were associated with eicosapentaenoic acid, docosapentaenoic acid, arachidonic acid, CLA:9c11t and gamma linolenic acid. Most of the significant SNPs for 44 traits studied are novel and located in intergenic regions or introns of genes. Novel potential candidate genes for milk traits or mammary gland functions include ERCC6, TONSL, NPAS2, ACER3, ITGB4, GGT6, ACOX3, MECR, ADAM12, ACHE, LRRC14, FUK, NPRL3, EVL, SLCO3A1, PSMA4, FTO, ADCK5, PP1R16A and TEP1. Our study further demonstrates the utility of the GBS approach for identifying population-specific SNPs for use in improvement of complex dairy traits.
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