Evidence map›Paper›PMID 41091826›Full record

SynthesisJournal of animal science2025

Integrated genome-wide association studies, meta-analysis, and Bayesian fine mapping reveal novel quantitative trait loci's and functional candidate genes for vulva traits in large white pigs.

Jin Zhou, Xiaowen Qian, Zijian Qiu, Liming Xu, Qian Liu, Yanzhen Yin, Jinfeng Ma, Jianghui Yu, David S Casey, Lijing Zhong and 3 more

Abstract readMeta-Analysis
In one paragraph

Synthesis in Journal of animal science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

13 authors.

Jin ZhouKey Laboratory in Nanjing for Evaluation and Utilization of Pigs Resources, Ministry of Agriculture and Rural Areas of China, Institute of Swine Science, Nanjing Agricultural University, Nanjing 210095, China.
Xiaowen QianKey Laboratory in Nanjing for Evaluation and Utilization of Pigs Resources, Ministry of Agriculture and Rural Areas of China, Institute of Swine Science, Nanjing Agricultural University, Nanjing 210095, China.
Zijian QiuKey Laboratory in Nanjing for Evaluation and Utilization of Pigs Resources, Ministry of Agriculture and Rural Areas of China, Institute of Swine Science, Nanjing Agricultural University, Nanjing 210095, China.
Liming XuKey Laboratory in Nanjing for Evaluation and Utilization of Pigs Resources, Ministry of Agriculture and Rural Areas of China, Institute of Swine Science, Nanjing Agricultural University, Nanjing 210095, China.
Qian LiuKey Laboratory in Nanjing for Evaluation and Utilization of Pigs Resources, Ministry of Agriculture and Rural Areas of China, Institute of Swine Science, Nanjing Agricultural University, Nanjing 210095, China.
Yanzhen YinKey Laboratory in Nanjing for Evaluation and Utilization of Pigs Resources, Ministry of Agriculture and Rural Areas of China, Institute of Swine Science, Nanjing Agricultural University, Nanjing 210095, China.
Jinfeng MaKey Laboratory in Nanjing for Evaluation and Utilization of Pigs Resources, Ministry of Agriculture and Rural Areas of China, Institute of Swine Science, Nanjing Agricultural University, Nanjing 210095, China.
Jianghui YuKey Laboratory in Nanjing for Evaluation and Utilization of Pigs Resources, Ministry of Agriculture and Rural Areas of China, Institute of Swine Science, Nanjing Agricultural University, Nanjing 210095, China.ORCID 0009-0008-3461-674X
David S CaseyPIC China, Shanghai 201107, China.
Lijing ZhongJiangsu Lihua Food Group Co.,Ltd, Changzhou 213000, China.
Qingbo ZhaoKey Laboratory in Nanjing for Evaluation and Utilization of Pigs Resources, Ministry of Agriculture and Rural Areas of China, Institute of Swine Science, Nanjing Agricultural University, Nanjing 210095, China.
Ruihua HuangKey Laboratory in Nanjing for Evaluation and Utilization of Pigs Resources, Ministry of Agriculture and Rural Areas of China, Institute of Swine Science, Nanjing Agricultural University, Nanjing 210095, China.
Pinghua LiKey Laboratory in Nanjing for Evaluation and Utilization of Pigs Resources, Ministry of Agriculture and Rural Areas of China, Institute of Swine Science, Nanjing Agricultural University, Nanjing 210095, China.ORCID 0000-0003-2148-2435

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The size and angle of the vulva are economically important traits in pig production. Gilts with small or upward-tilted vulva are typically culled directly. Selective breeding aimed at improving vulva traits can enhance the retention rate of replacement gilts. This study aimed to systematically explore the key quantitative trait loci (QTL) and genes influencing vulva traits in Large White pigs using genome-wide association studies (GWAS) and meta-analysis techniques. Data on vulva length (VL), vulva width (VW), and vulva angle scores (VAS) were collected from 2,197 Large White gilts across three distinct populations (313 from PIC, 1,169 from Topigs, and 715 from Canada), with genotyping performed using a 50K single-nucleotide polymorphism (SNP) array. The SNP-chip data were imputed to the whole-genome sequencing (iWGS) level. This study used iWGS data to conduct GWAS, identifying a genomic region (SSC5: 103.04-103.34 Mb) significantly associated with VAS in both the Topigs and Canadian Large White pig populations. The significance of this region was further strengthened through multi-population meta-analysis. The most significant SNP (rs3470833446), identified on chromosome 14 and associated with VW in PIC Large White pigs, explained 16.98% of the phenotypic variation (PVE). Multi-population meta-analysis identified novel significant SNPs associated with VL on SSC4, VW on SSC1, SSC4, and SSC6, and VAS on SSC2 and SSC5. Furthermore, a significant potential pleiotropic QTL (SSC4: 36.42-41.24 Mb) regulating both VL and VW was identified. Bayes fine mapping was employed to determine the confidence intervals for these novel QTLs, with the most refined confidence interval narrowed down to 30 kb (SSC4: 38.73-38.76 Mb for VW, and SSC5: 103.20-103.23 Mb for VAS). Based on the biological functions of the genes, the following were identified as novel regulatory candidate genes for vulva traits: VIP, NAV3, and ESR1. These findings reveal potential key genes and genetic mechanisms influencing vulva traits in pigs, providing a crucial molecular genetic basis for improving pig breeding and reproductive performance.

Indexed as

Genome-Wide Association StudyQuantitative Trait LociSus scrofaVulvaAnimalsBayes TheoremChromosome MappingFemalePolymorphism, Single NucleotideSwinecandidate genesgenome-wide association studymeta-analysispigvulva traits

Identifiers

PMID41091826
PMCPMC12586332

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.