Evidence map›Paper›PMID 42890773›Full record

ArticleiMetaOmics2026

Pangenome variation analysis uncovers the impacts of SNP-independent structural variations in modern European cattle breeding.

Shoulu Dai, Linjing Xu, Liu Yang, Pengju Zhao, Xin Li, Wei Huang, Wengang Zhang, Xuelei Dai, Zhiqiang Li, Lingwei Peng and 8 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in iMetaOmics, 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

18 authors.

Shoulu DaiYazhouwan National Laboratory Sanya China.ORCID https://orcid.org/0009-0006-3976-0033
Linjing XuKey Laboratory of Agricultural Animal Genetics, Breeding and Reproduction of Ministry of Education Huazhong Agricultural University Wuhan China.ORCID https://orcid.org/0009-0006-9849-2446
Liu YangDepartment of Animal and Avian Sciences University of Maryland College Park Maryland USA.ORCID https://orcid.org/0000-0002-4179-8587
Pengju ZhaoHainan Institute Zhejiang University, Yongyou Industry Park Sanya China.ORCID https://orcid.org/0000-0001-6990-1147
Xin LiYazhouwan National Laboratory Sanya China.ORCID https://orcid.org/0009-0000-0735-7342
Wei HuangKey Laboratory of Agricultural Animal Genetics, Breeding and Reproduction of Ministry of Education Huazhong Agricultural University Wuhan China.ORCID https://orcid.org/0009-0003-9936-6554
Wengang ZhangYazhouwan National Laboratory Sanya China.ORCID https://orcid.org/0009-0000-1146-1468
Xuelei DaiYazhouwan National Laboratory Sanya China.ORCID https://orcid.org/0000-0002-7681-7338
Zhiqiang LiYazhouwan National Laboratory Sanya China.
Lingwei PengYazhouwan National Laboratory Sanya China.ORCID https://orcid.org/0009-0008-1126-5043
Pengyu WuKey Laboratory of Agricultural Animal Genetics, Breeding and Reproduction of Ministry of Education Huazhong Agricultural University Wuhan China.
Xuewen XuKey Laboratory of Agricultural Animal Genetics, Breeding and Reproduction of Ministry of Education Huazhong Agricultural University Wuhan China.
Liguo YangKey Laboratory of Agricultural Animal Genetics, Breeding and Reproduction of Ministry of Education Huazhong Agricultural University Wuhan China.
Wenfa LyuYazhouwan National Laboratory Sanya China.
Lingzhao FangCenter for Quantitative Genetics and Genomics Aarhus University Aarhus Denmark.ORCID https://orcid.org/0000-0003-1103-3679
Li MaDepartment of Animal and Avian Sciences University of Maryland College Park Maryland USA.
George E LiuAnimal Genomics and Improvement Laboratory BARC, USDA-ARS Beltsville Maryland USA.ORCID https://orcid.org/0000-0003-0192-6705
Yang ZhouYazhouwan National Laboratory Sanya China.ORCID https://orcid.org/0000-0001-6118-7102

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

While pangenome studies emphasize structural variations (SVs), their functional significance beyond single-nucleotide polymorphisms (SNPs) in cattle remains unexplored. We established a comprehensive variation map for 1379 European cattle from nine breeds using a pangenome graph. Although SV and SNP distributions were similar genome-wide, 19.3% of SVs exhibited low linkage disequilibrium (

Indexed as

cattlemissing heritabilitynon‐SNP‐tagged SVpangenomeSV imputation panel

Identifiers

PMID42890773
PMCPMC13674427

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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.