Evidence map›Paper›PMID 39233740›Full record

ArticleFrontiers in genetics2024

Genetic structure and selective sweeps in Kirghiz sheep using SNP50K bead chip.

Xiaopeng Li, Lijun Zhu, Cheng-Long Zhang, Xueyan Wang, Yanhao Li, Wen Zhou, Zhipeng Han, Ruizhi Yang, Yuwei Peng, Yahui Han and 3 more

Abstract read
In one paragraph

Article in Frontiers in genetics, 2024. 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

13 authors.

Xiaopeng Li *College of Animal Science and Technology, Tarim University, Xinjiang, China.
Lijun Zhu *College of Animal Science and Technology, Tarim University, Xinjiang, China.
Cheng-Long ZhangCollege of Animal Science and Technology, Tarim University, Xinjiang, China.
Xueyan WangCollege of Animal Science and Technology, Tarim University, Xinjiang, China.
Yanhao LiCollege of Animal Science and Technology, Tarim University, Xinjiang, China.
Wen ZhouCollege of Animal Science and Technology, Tarim University, Xinjiang, China.
Zhipeng HanCollege of Animal Science and Technology, Tarim University, Xinjiang, China.
Ruizhi YangCollege of Animal Science and Technology, Tarim University, Xinjiang, China.
Yuwei PengCollege of Animal Science and Technology, Tarim University, Xinjiang, China.
Yahui HanCollege of Animal Science and Technology, Tarim University, Xinjiang, China.
Lulu ZhangCollege of Animal Science and Technology, Tarim University, Xinjiang, China.
Langman ZhengCollege of Animal Science and Technology, Tarim University, Xinjiang, China.
Shudong LiuCollege of Animal Science and Technology, Tarim University, Xinjiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The objective of this study is to analyze environmental genetic selection signals in large-scale sheep populations with conflicting environmental adaptations, aiming to identify and isolate genes associated with environmental adaptations in sheep populations. Kirghiz sheep, which inhabit high-altitude environments year-round, demonstrate the ability to adapt to extreme conditions. In this study, 42 Kirghiz sheep, 24 Tien-Shan in Kyrgyzstan sheep, 189 Qira black sheep, and 160 Chinese Merino sheep were genotyped using Illumina Ovine SNP50K chip. Regions exhibiting a selection signal threshold of 5%, as well as PI analysis and haplotype statistical scanning gene data were annotated, and intersecting genes were identified as candidate genes. Through Fst and haplotype statistical analysis revealed the key gene

Indexed as

genetic patternsGO enrichment analysisKirghiz sheepselection signatureselective sweeps

Identifiers

PMID39233740
PMCPMC11371558

What OpenQuestion holds

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LicenceCC BY
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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 OpenQuestion graph.