Evidence map›Paper›PMID 41600740›Full record

ArticleVeterinary sciences2026

Genome-Wide Association Study of Body Mass Index in a Commercial Landrace × Yorkshire Crossbred Pig Population.

Long Jin, Chunyan Bai, Jinghan Chen, Chengyue Feng, Fengyi Dong, Xiaoran Zhang, Junwen Fei, Yu He, Wuyang Liu, Changyi Chen and 3 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Veterinary sciences, 2026. 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.

Long JinCollege of Animal Science, Jilin University, Changchun 130062, China.
Chunyan BaiCollege of Animal Science, Jilin University, Changchun 130062, China.
Jinghan ChenCollege of Animal Science, Jilin University, Changchun 130062, China.
Chengyue FengCollege of Animal Science, Jilin University, Changchun 130062, China.
Fengyi DongCollege of Animal Science, Jilin University, Changchun 130062, China.
Xiaoran ZhangCollege of Animal Science, Jilin University, Changchun 130062, China.
Junwen FeiCollege of Animal Science, Jilin University, Changchun 130062, China.
Yu HeCollege of Animal Science, Jilin University, Changchun 130062, China.
Wuyang LiuCollege of Animal Science, Jilin University, Changchun 130062, China.
Changyi ChenCollege of Animal Science, Jilin University, Changchun 130062, China.
Boxing SunCollege of Animal Science, Jilin University, Changchun 130062, China.ORCID 0000-0001-8077-576X
Dali WangCollege of Animal Science, Jilin University, Changchun 130062, China.
Hao SunCollege of Animal Science, Jilin University, Changchun 130062, China.

Funding

Jilin Provincial Natural Science Foundation 20240101253JC
6 · The paper itself

Abstract

The Body Mass Index (BMI), integrating body weight and length, is a widely used metric for obesity assessment in humans. As pigs serve as crucial biomedical models, the application of BMI in swine and its genetic basis remain poorly explored. This study aimed to investigate the genetic architecture of pig BMI and compare two carcass-based BMI metrics (BMI-S and BMI-O) for breeding applicability. A total of 439 Landrace × Yorkshire crossbred pigs were genotyped with a 50 K SNP chip; heritability was estimated via a mixed linear model, and genome-wide association study (GWAS) was performed using the BLINK model. BMI-S and BMI-O exhibited moderate-to-high heritability of 0.55 and 0.47, respectively, with 17 genome-wide significant SNPs detected-including the top associated SNP

Indexed as

BMIcandidate genesGWASheritabilitypigsSNP

Identifiers

PMID41600740
PMCPMC12846655

What Socratic holds

Textmetadata
LicenceCC BY
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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.