ArticleBMC genomics2025
Genome-wide association studies and candidate genes networks affecting reproductive traits using Iranian Holstein sequence data.
Article in BMC genomics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed.
- Whole-Genome Sequencing Reveals Breed-Specific SNPs, Indels, and Signatures of Selection in Royal White and White Dorper Sheep.Animals : an open access journal from MDPI · 2026Article
- Population structure, regions of homozygosity (ROH) and selection signal of two domesitic goat breeds revealed by whole-genome resequencing.BMC genomics · 2026Article
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Authors and funding
5 authors.
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Abstract
backgroundThe reproduction process in domestic animals is one of the most important challenges of animal husbandry. Fertility is an important trait that contributes to herd profitability and can be improved by genomic information. One of the best ways to investigate the association between single nucleotide polymorphisms (SNPs) and phenotypic performance is the genome-wide association study (GWAS). The aim of our study was to identify the genomic regions affecting reproductive traits, interval between first and last insemination (IFL), days open (DO), days from calving to first service (DFS), number of services per conception (NSPC), age at first calving (AFC) and age at first insemination (AFI) using SNP chip data in Iranian Holstein cows.
resultsGWAS analysis for all reproductive traits based on the significant-association threshold P < 1 × 10
conclusionsOur results identified 55 marker-trait associations (MTAs) and 54 different candidate genes associated with reproductive traits. As a result, the SNPs and candidate genes discovered in this study can be used in genomic experiments to improve the reproductive performance of Iranian Holstein dairy cows and provide new information about the genetic architecture of these traits.
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