Evidence map›Paper›PMID 40790239›Full record

ArticleJournal of animal science and biotechnology2025

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

Ran Li, Yuheng Bai, Maqiang Zhao, Xinyue Zhang, Haiyan Wang, Bo Feng, Shuo Zhang, Huanhuan Zhang, Gang Ren, Xihong Wang and 1 more

Abstract read
In one paragraph

Article in Journal of animal science and biotechnology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Review
  5. Article
  6. Identification ofFrontiers in veterinary science · 2026
    Article
  7. Review
  8. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Ran Li *Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, 712100, Shaanxi, China.
Yuheng Bai *Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, 712100, Shaanxi, China.
Maqiang ZhaoKey Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, 712100, Shaanxi, China.
Xinyue ZhangKey Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, 712100, Shaanxi, China.
Haiyan WangYulin Industrial Development Institute for Sheep & Goat, Yulin, 719053, Shaanxi, China.
Bo FengYulin Industrial Development Institute for Sheep & Goat, Yulin, 719053, Shaanxi, China.
Shuo ZhangKey Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, 712100, Shaanxi, China.
Huanhuan ZhangKey Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, 712100, Shaanxi, China.
Gang RenKey Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, 712100, Shaanxi, China.
Xihong WangKey Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, 712100, Shaanxi, China.
Yu JiangKey Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, 712100, Shaanxi, China. yu.jiang@nwafu.edu.cn.ORCID http://orcid.org/0000-0003-4821-3585

Funding

Biological Breeding-National Science and Technology Major Project 2022ZD0401403Key Research and Development Projects of Shaanxi Province 2024NC2-GJHX-15Shaanxi Livestock and Poultry Breeding Double-chain Fusion Key Project 2022GD-TSLD-46-0401
6 · The paper itself

Abstract

backgroundBirth weight is a critical economic trait in livestock production. However, its genetic architecture remains poorly understood due to historical limitations in sample size and reliance on low-density SNP arrays. In this study, we utilized low-coverage whole-genome sequencing (lcWGS) to genotype 3,007 Hu sheep, bypassing the cost and resolution constraints of conventional genotyping arrays while achieving scalable genome-wide variant detection.

resultsLcWGS with high imputation accuracy (97.8% allelic concordance) enabled genome-wide association studies (GWAS) identifying two novel quantitative trait loci (QTLs) on chromosomes 6 and 9. The chromosome 9 QTL encompassed a regulatory region functionally linked to PLAG1 expression through expression quantitative trait locus (eQTL) mapping. Compared with wild-type homozygotes, heterozygous carriers of the lead SNP (chr9:g.35920172A > G) presented a 9.85% increase in birth weight (3.35 kg vs. 3.68 kg; Δ = 0.33 kg). Notably, the derived allele of this SNP exhibited low frequencies of < 0.1 across most global sheep breeds except Dorper, highlighting its potential for selective breeding applications. Leveraging lcWGS data, haplotype-based fine-mapping prioritized three candidate causal variants. A secondary QTL on chromosome 6 colocalized with the FecB mutation, a well-established locus associated with increased litter size. Intriguingly, individuals carrying one FecB allele showed a 6.18% reduction (0.22 kg) in birth weight, which tentatively indicates potential pleiotropic influences on both growth and reproductive traits.

conclusionThis 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.

Indexed as

Birth weightGWASLcWGSQTLSheep

Identifiers

PMID40790239
PMCPMC12341293

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.