Fine mapping genetic variants affecting birth weight in sheep: a GWAS of 3007 individuals using low-coverage whole genome sequencing

This study demonstrates the utility of lcWGS as a cost-effective, high-resolution tool for dissecting complex traits in livestock. Our findings not only advance the understanding of birth weight genetics in sheep but also offer a blueprint for accelerating genetic improvement programs in global livestock production through cost-effective, genome-wide approaches.

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Publication Details

Journal
Journal of Animal Science and Biotechnology/Journal of animal science and biotechnology
Published
2025-08-11
DOI
https://doi.org/10.1186/s40104-025-01251-4
Citations
4
Primary Topic
Genetic and phenotypic traits in livestock
Type
article
Field-Weighted Citation Impact
7.27

Funders

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article

Fine mapping genetic variants affecting birth weight in sheep: a GWAS of 3007 individuals using low-coverage whole genome sequencing

Xihong Wang, Gang Ren, Yu Jiang, Mengxi Zhao et al.
4 citations
Journal of Animal Science and Biotechnology/Journal of animal science and biotechnology
Genetic and phenotypic traits in livestock
7.27
article

Fine mapping genetic variants affecting birth weight in sheep: a GWAS of 3007 individuals using low-coverage whole genome sequencing

Xihong Wang, Gang Ren, Yu Jiang, Mengxi Zhao, Bo Feng, Xinyue Zhang, Haiyan Wang, Ran Li, Shuo Zhang, Huanhuan Zhang, Yuheng Bai
article en
4 citations

Abstract

This study demonstrates the utility of lcWGS as a cost-effective, high-resolution tool for dissecting complex traits in livestock. Our findings not only advance the understanding of birth weight genetics in sheep but also offer a blueprint for accelerating genetic improvement programs in global livestock production through cost-effective, genome-wide approaches.

Journal of Animal Science and Biotechnology/Journal of animal science and biotechnologyVol. 16(1)
North West Agriculture and Forestry University (CN), Yulin University (CN), Northwest A&F University (CN)
National Science and Technology Major Project, Key Research and Development Projects of Shaanxi Province
Zero hunger
Openalex Percentile: Top 3%
Genetic and phenotypic traits in livestock
7.27
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