Evidence map›Paper›PMID 42163111›Full record

ArticleBMC genomics2026

Integrated selection scans and cis-eQTL analyses reveal genes and variants associated with milk quality, immunity, and adaptation in endangered Dengchuan cattle.

Kunjiang Feng, Yongyan Liu, Yaman Li, Mei Yang, Zongyou Huang, Lingyue Wen, Heng Xiao, Shanyuan Chen

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC genomics, 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

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

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

8 authors.

Kunjiang FengSchool of Ecology and Environmental Science, Yunnan University, Kunming, Yunnan Province, 650500, China.
Yongyan LiuSchool of Ecology and Environmental Science, Yunnan University, Kunming, Yunnan Province, 650500, China.
Yaman LiSchool of Ecology and Environmental Science, Yunnan University, Kunming, Yunnan Province, 650500, China.
Mei YangSchool of Ecology and Environmental Science, Yunnan University, Kunming, Yunnan Province, 650500, China.
Zongyou HuangSchool of Ecology and Environmental Science, Yunnan University, Kunming, Yunnan Province, 650500, China.
Lingyue WenSchool of Ecology and Environmental Science, Yunnan University, Kunming, Yunnan Province, 650500, China.
Heng XiaoSchool of Ecology and Environmental Science, Yunnan University, Kunming, Yunnan Province, 650500, China.
Shanyuan ChenSchool of Ecology and Environmental Science, Yunnan University, Kunming, Yunnan Province, 650500, China. chensy@ynu.edu.cn.

Funding

National Key R&D Program of China 2021YFD1200903-9National Natural Science Foundation of China 32160146
6 · The paper itself

Abstract

backgroundDengchuan cattle, the only dairy-purpose breed among Chinese indigenous yellow cattle, possesses strong environmental adaptability, tolerance to coarse forage, and excellent disease resistance. Its milk contains high levels of protein, fat, and total solids. However, intensive crossbreeding with high-yield Holstein cattle has drastically shrunk its population and increased inbreeding, pushing this valuable breed to the brink of extinction.

resultsIn the present study, using inter-population selection scans (F

conclusionsThis study reveals the genetics relationship between Dengchuan and Dianzhong cattle, identifies genetic factors associated with immunity, environmental adaptation, and milk quality in Dengchuan cattle. Notably, despite the restricted sample size inherent to studying an endangered breed, our integrative approach yielded highly informative results, demonstrating the power of such strategies for small yet valuable native populations.

Indexed as

Adaptation, PhysiologicalMilkQuantitative Trait LociSelection, GeneticAnimalsBreedingCattlePolymorphism, Single NucleotideDengchuan cattleEnvironmental adaptioneQTLIndigenous breedMilk qualitySelective signatureStructural variant

Identifiers

PMID42163111
PMCPMC13366632

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LicenceCC BY-NC-ND
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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.