Evidence map›Paper›PMID 37868035›Full record

ArticleCell genomics2023

Gene expression and RNA splicing explain large proportions of the heritability for complex traits in cattle.

Ruidong Xiang, Lingzhao Fang, Shuli Liu, Iona M Macleod, Zhiqian Liu, Edmond J Breen, Yahui Gao, George E Liu, Albert Tenesa, CattleGTEx Consortium and 4 more

Open access · goldAbstract read
In one paragraph

Article in Cell genomics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed, 1 pooled it
26.0field-weighted citation impact, top 1% of its field
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

37 citing papers in PubMed, 1 synthesis or guideline pooled it, 59 citations in OpenAlex.

  1. Sequence-based GWAS meta-analyses for beef production traits.Genetics, selection, evolution : GSE · 2023
    Pooled it
  2. Review
  3. A trans-omics gene-smoking interaction study of lung cancer based on consortium data.American journal of respiratory and critical care medicine · 2026
    Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Integrating extensive functional annotations and multiomics of cattle enhances climate resilience prediction and mapping.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  9. Article
  10. Article
  11. Article
  12. Alternative Splicing Regulation in Metabolic Disorders.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2025
    Review
  13. Article
  14. Article
  15. Article
  16. Article
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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

14 authors at 9 institutions in 5 countries.

Ruidong XiangFaculty of Veterinary & Agricultural Science, the University of Melbourne, Parkville, VIC 3052, Australia.
Lingzhao FangMRC Human Genetics Unit at the Institute of Genetics and Cancer, the University of Edinburgh, Edinburgh, UK.
Shuli LiuWestlake Laboratory of Life Sciences and Biomedicine, Hangzhou, Zhejiang 310024, China.
Iona M MacleodAgriculture Victoria, AgriBio, Centre for AgriBiosciences, Bundoora, VIC 3083, Australia.
Zhiqian LiuAgriculture Victoria, AgriBio, Centre for AgriBiosciences, Bundoora, VIC 3083, Australia.
Edmond J BreenAgriculture Victoria, AgriBio, Centre for AgriBiosciences, Bundoora, VIC 3083, Australia.
Yahui GaoAnimal Genomics and Improvement Laboratory, Henry A. Wallace Beltsville Agricultural Research Center, Agricultural Research Service, USDA, Beltsville, MD 20705, USA.
George E LiuAnimal Genomics and Improvement Laboratory, Henry A. Wallace Beltsville Agricultural Research Center, Agricultural Research Service, USDA, Beltsville, MD 20705, USA.
Albert TenesaMRC Human Genetics Unit at the Institute of Genetics and Cancer, the University of Edinburgh, Edinburgh, UK.
CattleGTEx Consortium
Brett A MasonAgriculture Victoria, AgriBio, Centre for AgriBiosciences, Bundoora, VIC 3083, Australia.
Amanda J ChamberlainAgriculture Victoria, AgriBio, Centre for AgriBiosciences, Bundoora, VIC 3083, Australia.
Naomi R WrayInstitute for Molecular Bioscience, the University of Queensland, Brisbane, QLD 4072, Australia.
Michael E GoddardFaculty of Veterinary & Agricultural Science, the University of Melbourne, Parkville, VIC 3052, Australia.
Agriculture Victoria · AUAgricultural Research Service · USAarhus University · DKBaker Heart and Diabetes Institute · AULa Trobe University · AURoslin Institute · GBThe University of Melbourne · AUThe University of Queensland · AUWestlake University · CN

Funding

Medical Research Council MR/P015514/1
6 · The paper itself

Abstract

Many quantitative trait loci (QTLs) are in non-coding regions. Therefore, QTLs are assumed to affect gene regulation. Gene expression and RNA splicing are primary steps of transcription, so DNA variants changing gene expression (eVariants) or RNA splicing (sVariants) are expected to significantly affect phenotypes. We quantify the contribution of eVariants and sVariants detected from 16 tissues (n = 4,725) to 37 traits of ∼120,000 cattle (average magnitude of genetic correlation between traits = 0.13). Analyzed in Bayesian mixture models, averaged across 37 traits,

Indexed as

BayesRBayesRCcomplex traitseQTLgene expressionheritabilityRNA splicingsQTL

Identifiers

PMID37868035
PMCPMC10589627
OpenAlexW4386101740

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.