ArticleGenetics, selection, evolution : GSE2024
Using expression data to fine map QTL associated with fertility in dairy cattle.
Article in Genetics, selection, evolution : GSE, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
4 citing papers in PubMed.
- Transcriptional adaptation of rumen papillae to high-grain diet reveals distinct temporal phases and SARA susceptibility signatures.Journal of animal science and biotechnology · 2026Article
- The Genomic Landscape of Cattle: Domestication, Dispersal, and Adaptive Evolution.Animals : an open access journal from MDPI · 2026Review
- Selective sweeps for mutations increasing height impede identification of causative mutations for fertility and other correlated traits in cattle.Genetics, selection, evolution : GSE · 2025Article
- Evaluation of PE5 Entries on the Human Proteome Project Target List.Journal of proteome research · 2025Article
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Authors and funding
11 authors.
Funding
Abstract
backgroundFemale fertility is an important trait in dairy cattle. Identifying putative causal variants associated with fertility may help to improve the accuracy of genomic prediction of fertility. Combining expression data (eQTL) of genes, exons, gene splicing and allele specific expression is a promising approach to fine map QTL to get closer to the causal mutations. Another approach is to identify genomic differences between cows selected for high and low fertility and a selection experiment in New Zealand has created exactly this resource. Our objective was to combine multiple types of expression data, fertility traits and allele frequency in high- (POS) and low-fertility (NEG) cows with a genome-wide association study (GWAS) on calving interval in Australian cows to fine-map QTL associated with fertility in both Australia and New Zealand dairy cattle populations.
resultsVariants that were significantly associated with calving interval (CI) were strongly enriched for variants associated with gene, exon, gene splicing and allele-specific expression, indicating that there is substantial overlap between QTL associated with CI and eQTL. We identified 671 genes with significant differential expression between POS and NEG cows, with the largest fold change detected for the CCDC196 gene on chromosome 10. Our results provide numerous candidate genes associated with female fertility in dairy cattle, including GYS2 and TIGAR on chromosome 5 and SYT3 and HSD17B14 on chromosome 18. Multiple QTL regions were located in regions with large numbers of copy number variants (CNV). To identify the causal mutations for these variants, long read sequencing may be useful.
conclusionsVariants that were significantly associated with CI were highly enriched for eQTL. We detected 671 genes that were differentially expressed between POS and NEG cows. Several QTL detected for CI overlapped with eQTL, providing candidate genes for fertility in dairy cattle.
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