Evidence map›Paper›PMID 36777183›Full record

ArticleCell genomics2023

The landscape of expression and alternative splicing variation across human traits.

Raquel García-Pérez, Jose Miguel Ramirez, Aida Ripoll-Cladellas, Ruben Chazarra-Gil, Winona Oliveros, Oleksandra Soldatkina, Mattia Bosio, Paul Joris Rognon, Salvador Capella-Gutierrez, Miquel Calvo and 6 more

Abstract 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 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing 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

31 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. The Implications of Alternative Splicing Regulation for Maximum Lifespan.bioRxiv : the preprint server for biology · 2025
    Article
  11. Article
  12. Orthrus: Towards Evolutionary and Functional RNA Foundation Models.bioRxiv : the preprint server for biology · 2025
    Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Hyperuricaemia and gout in the Pacific.Nature reviews. Rheumatology · 2025
    Review
  18. ELLIPSIS: robust quantification of splicing in scRNA-seq.Bioinformatics (Oxford, England) · 2025
    Article
  19. Accelerated cell-type-specific regulatory evolution of the human brain.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  20. 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

16 authors.

Raquel García-PérezDepartment of Life Sciences, Barcelona Supercomputing Center (BCN-CNS), Barcelona, Catalonia 08034, Spain.
Jose Miguel RamirezDepartment of Life Sciences, Barcelona Supercomputing Center (BCN-CNS), Barcelona, Catalonia 08034, Spain.
Aida Ripoll-CladellasDepartment of Life Sciences, Barcelona Supercomputing Center (BCN-CNS), Barcelona, Catalonia 08034, Spain.
Ruben Chazarra-GilDepartment of Life Sciences, Barcelona Supercomputing Center (BCN-CNS), Barcelona, Catalonia 08034, Spain.
Winona OliverosDepartment of Life Sciences, Barcelona Supercomputing Center (BCN-CNS), Barcelona, Catalonia 08034, Spain.
Oleksandra SoldatkinaDepartment of Life Sciences, Barcelona Supercomputing Center (BCN-CNS), Barcelona, Catalonia 08034, Spain.
Mattia BosioDepartment of Life Sciences, Barcelona Supercomputing Center (BCN-CNS), Barcelona, Catalonia 08034, Spain.
Paul Joris RognonDepartment of Life Sciences, Barcelona Supercomputing Center (BCN-CNS), Barcelona, Catalonia 08034, Spain.
Salvador Capella-GutierrezDepartment of Life Sciences, Barcelona Supercomputing Center (BCN-CNS), Barcelona, Catalonia 08034, Spain.
Miquel CalvoStatistics Section, Faculty of Biology, Universitat de Barcelona (UB), Barcelona, Catalonia 08028, Spain.
Ferran ReverterStatistics Section, Faculty of Biology, Universitat de Barcelona (UB), Barcelona, Catalonia 08028, Spain.
Roderic GuigóBioinformatics and Genomics, Center for Genomic Regulation, Barcelona, Catalonia 08003, Spain.
François AguetBroad Institute of Harvard and MIT, Boston, MA, USA.
Pedro G FerreiraDepartment of Computer Science, Faculty of Sciences, University of Porto, Rua do Campo Alegre, 4169-007 Porto, Portugal.
Kristin G ArdlieBroad Institute of Harvard and MIT, Boston, MA, USA.
Marta MeléDepartment of Life Sciences, Barcelona Supercomputing Center (BCN-CNS), Barcelona, Catalonia 08034, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Understanding the consequences of individual transcriptome variation is fundamental to deciphering human biology and disease. We implement a statistical framework to quantify the contributions of 21 individual traits as drivers of gene expression and alternative splicing variation across 46 human tissues and 781 individuals from the Genotype-Tissue Expression project. We demonstrate that ancestry, sex, age, and BMI make additive and tissue-specific contributions to expression variability, whereas interactions are rare. Variation in splicing is dominated by ancestry and is under genetic control in most tissues, with ribosomal proteins showing a strong enrichment of tissue-shared splicing events. Our analyses reveal a systemic contribution of types 1 and 2 diabetes to tissue transcriptome variation with the strongest signal in the nerve, where histopathology image analysis identifies novel genes related to diabetic neuropathy. Our multi-tissue and multi-trait approach provides an extensive characterization of the main drivers of human transcriptome variation in health and disease.

Indexed as

agealternative splicingancestryBMIdiabetesgene expressionhuman traitssextissuetranscriptome

Identifiers

PMID36777183
PMCPMC9903719

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.