Evidence map›Paper›PMID 41927046›Full record

ArticleAnimal bioscience2026

Genome-wide association and Mendelian randomization analyses of placental efficiency and piglet birth weight in Danish Large White pigs.

Shi Xin Yu, Sheng Di Cui, Dong Chen, Zhen Jian Zhao, Patrick Kofi Makafui Tecku, Jia Miao Chen, Run Jie Huang, Yao Xi Zhou, Guo Qing Tang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Animal bioscience, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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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

1 citing paper in PubMed.

  1. 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

9 authors.

Shi Xin Yu *State Key Laboratory of Swine and Poultry Breeding Industry, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, China.
Sheng Di Cui *State Key Laboratory of Swine and Poultry Breeding Industry, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, China.
Dong ChenState Key Laboratory of Swine and Poultry Breeding Industry, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, China.
Zhen Jian ZhaoState Key Laboratory of Swine and Poultry Breeding Industry, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, China.
Patrick Kofi Makafui TeckuState Key Laboratory of Swine and Poultry Breeding Industry, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, China.
Jia Miao ChenState Key Laboratory of Swine and Poultry Breeding Industry, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, China.
Run Jie HuangState Key Laboratory of Swine and Poultry Breeding Industry, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, China.
Yao Xi ZhouState Key Laboratory of Swine and Poultry Breeding Industry, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, China.
Guo Qing TangState Key Laboratory of Swine and Poultry Breeding Industry, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, China. tyq003@163.com.

Funding

Sichuan Provincial Science and Technology Department Project 2020YFN0024Sichuan Provincial Science and Technology Department Project 2021YFYZ0030Sichuan Provincial Science and Technology Department Project 2021ZDZX0008
6 · The paper itself

Abstract

objectiveModern swine breeding has been shifted from maximizing productivity to improving quality for better efficiency. A key goal is to balance litter size with piglet birth weight (BW). This study focused on Danish Large White pigs to evaluate a novel placental efficiency (PEA) index based on placental area (PA) as a biologically relevant and measurable trait for breeding programs.

methodsThe study integrated genome-wide association studies and Mendelian randomization to explore the genetic relationship and potential causal direction between the proposed PEA index and piglet BW. The investigation used data from 113 piglets.

resultsAnalysis revealed a significant positive causal effect of PEA on BW. Nine significant single nucleotide polymorphisms and eight candidate genes (MARVELD3, CMTR2, TLE7, CHST4, TAT, ZNF23, CALB2, PHLPP2) were identified. Functional enrichment analysis indicated that these genes synergistically regulate placental function: TAT is involved in amino acid metabolism and energy homeostasis; CALB2 may influence trophoblast signaling and placental vascular function via calcium regulation; CHST4 participates in extracellular matrix modification at the maternal-fetal interface; MARVELD3 contributes to placental barrier maintenance; CMTR2 and TLE7 are involved in RNA modification and transcriptional regulation; ZNF23 may regulate cell cycle and differentiation; and PHLPP2 influences cell survival and metabolic adaptation via AKT signaling. These network regulates placental endothelial activity, optimizes nutrient allocation, and positively impacts BW.

conclusionThis study clarifies, from a genetic perspective, the causal relationship between PEA and BW. The proposed PEA index is presented as a reliable tool for evaluating placental spatial utilization efficiency in polytocous animal breeding. It offers new genetic insights and a potential approach for improving litter viability.

Indexed as

Birth WeightLarge WhiteLitter SizePlacental AreaPlacental Efficiency

Identifiers

PMID41927046
PMCPMC13353116

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LicenceCC BY
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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 OpenQuestion graph.