Evidence map›Paper›PMID 42553106›Full record

ArticleFrontiers in veterinary science2026

Integrating selective signatures and Cis-eQTLs to prioritize candidate genes potentially related to milk production traits in dual-purpose cattle.

Kailun Ma, Xue Li, Menghua Zhang, Dan Wang, Shengchao Ma, Xixia Huang, Qiuming Chen, Lei Xu

Abstract read
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In one paragraph

Article in Frontiers in veterinary science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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3 · Its place in the literature

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No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Kailun MaCollege of Animal Science, Xinjiang Agricultural University, Urumqi, China.
Xue LiCollege of Animal Science, Xinjiang Agricultural University, Urumqi, China.
Menghua ZhangCollege of Animal Science, Xinjiang Agricultural University, Urumqi, China.
Dan WangCollege of Animal Science, Xinjiang Agricultural University, Urumqi, China.
Shengchao MaCollege of Animal Science, Xinjiang Agricultural University, Urumqi, China.
Xixia HuangCollege of Animal Science, Xinjiang Agricultural University, Urumqi, China.
Qiuming ChenCollege of Animal Science, Xinjiang Agricultural University, Urumqi, China.
Lei XuCollege of Animal Science, Xinjiang Agricultural University, Urumqi, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aimed to identify candidate genes and genetic markers affecting milk production traits in dual-purpose cattle, providing a foundation of data for marker-assisted breeding. Cis-eQTL analysis was performed on 83 Xinjiang brown cattle and 80 Chinese Simmental cattle using whole-genome resequencing and RNA-seq data derived from blood samples. Candidate genes were prioritized by overlapping the eGenes with genes from previous selective signature analyses. In Xinjiang brown cattle, 293,758 cis-eQTLs regulating 1,720 genes were identified, whereas 78,735 cis-eQTLs regulating 569 genes were found in Chinese Simmental cattle. By overlapping the eGenes with candidate genes from previous selective signature analyses, we prioritized 103 genes (e.g.,

Indexed as

Chinese Simmental cattleeQTLtranscriptome sequencingwhole-genome resequencingXinjiang brown cattle

Identifiers

PMID42553106
PMCPMC13433217

What Socratic holds

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Registered trials

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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 Socratic graph.