Evidence map›Paper›PMID 42034632›Full record

ArticleNature communications2026

Early and late RNA eQTL are driven by different genetic mechanisms.

Saori Sakaue, Accelerating Medicines Partnership®: RA/SLE Network, Soumya Raychaudhuri

Abstract read
In one paragraph

Article in Nature communications, 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

3 authors.

Saori SakaueCenter for Data Sciences, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.ORCID http://orcid.org/0000-0003-3618-9717
Accelerating Medicines Partnership®: RA/SLE Network
Soumya RaychaudhuriCenter for Data Sciences, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA. soumya@broadinstitute.org.ORCID http://orcid.org/0000-0002-1901-8265

Funding

PEARL: Pathway Exploration and Analysis in Renal LupusUH2AR067688 · NIAMS · FEINSTEIN INSTITUTE FOR MEDICAL RESEARCH · PI DIAMOND, BETTY, WOFSY, DAVID · 2014 to 2020
$9.0M
Tissue Acquisition Research GroupUM2AR067678 · NIAMS · STANFORD UNIVERSITY · PI HOLERS, VERNON MICHAEL, UTZ, PAUL JOSEPH · 2014 to 2020
$8.2M
Multi-Ethnic Translational Research Optimization (METRO) Lupus ConsortiumUH2AR067689 · NIAMS · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI BUYON, JILL P, PUTTERMAN, CHAIM · 2014 to 2020
$6.3M
Evolving Adaptive and Effector Mechanisms from Pre-RA Through Established DiseaseUH2AR067681 · NIAMS · UNIVERSITY OF COLORADO DENVER · PI HOLERS, VERNON MICHAEL · 2014 to 2020
$5.5M
Discovery and Functional Impact of Common and Rare Variants in RAR01AR063759 · NIAMS · BRIGHAM AND WOMEN'S HOSPITAL · PI Soumya Raychaudhuri · 2013 to 2026
$5.4M
Molecular and Cellular Dissection of Early Rheumatoid ArthritisUH2AR067694 · NIAMS · FEINSTEIN INSTITUTE FOR MEDICAL RESEARCH · PI BRENNER, MICHAEL B., GREGERSEN, PETER K. · 2014 to 2020
$5.4M
Integrative analysis of high dimensional tissue molecular data to define key biological systems in autoimmune diseases (SBC)UC2AR081023 · NIAMS · BRIGHAM AND WOMEN'S HOSPITAL · PI Soumya Raychaudhuri · 2022 to 2026
$4.8M
RA-SLE Molecular Deconstruction Leadership CenterUH2AR067677 · NIAMS · BRIGHAM AND WOMEN'S HOSPITAL · PI BRENNER, MICHAEL B., RAYCHAUDHURI, SOUMYA · 2014 to 2020
$4.3M
Predicting the impact of genetic variants, genes and pathways on human DiseaseU01HG012009 · NHGRI · BRIGHAM AND WOMEN'S HOSPITAL · PI ALKES L PRICE, Soumya Raychaudhuri · 2021 to 2026
$4.2M
Cellular Dynamics at the Synovium-Bone interface in RAUH2AR067690 · NIAMS · UNIVERSITY OF ROCHESTER · PI ANOLIK, JENNIFER HOWITT · 2014 to 2020
$3.0M
Stanford Technology Accelerating Medicines Partnership CenterUH2AR067676 · NIAMS · STANFORD UNIVERSITY · PI ROBINSON, WILLIAM H, UTZ, PAUL JOSEPH · 2014 to 2020
$2.6M
Accelerating Medicines Partnership in RA and Lupus: Network Sites (UH2/UH3)UH2AR067679 · NIAMS · JOHNS HOPKINS UNIVERSITY · PI PETRI, MICHELLE A · 2014 to 2020
$2.1M
NHGRI NIH HHS U01 HG012009NIAMS NIH HHS R01 AR063759NIAMS NIH HHS UC2 AR081023NIAMS NIH HHS UH2 AR067676NIAMS NIH HHS UH2 AR067677NIAMS NIH HHS UH2 AR067679NIAMS NIH HHS UH2 AR067681NIAMS NIH HHS UH2 AR067685NIAMS NIH HHS UH2 AR067688NIAMS NIH HHS UH2 AR067689NIAMS NIH HHS UH2 AR067690NIAMS NIH HHS UH2 AR067691NIAMS NIH HHS UH2 AR067694NIAMS NIH HHS UM2 AR067678U.S. Department of Health & Human Services | National Institutes of Health (NIH) R01AR063759U.S. Department of Health & Human Services | National Institutes of Health (NIH) U01HG012009U.S. Department of Health & Human Services | National Institutes of Health (NIH) UC2AR081023
6 · The paper itself

Abstract

Understanding the genetic regulation of RNA abundance is essential for defining disease mechanisms. Conventional expression quantitative trait locus (eQTL) studies measure steady-state RNA and capture effects across the entire transcript lifecycle. While most eQTL likely affect transcription by altering promoter or enhancer function within the nucleus, others may act post-transcriptionally through RNA modification or stability in the cytosol. To distinguish these mechanisms, we compare eQTL from mature cellular RNA and recently transcribed nuclear RNA in brain and kidney. We identify distinct causal variants underlying cellular and nuclear eQTL at the same eGenes. Cellular eQTL are enriched in transcribed regions (P = 3.3×10⁻¹²⁶), suggesting post-transcriptional regulation, whereas nuclear eQTL are enriched in distal regulatory elements (P = 7.0×10⁻³²), consistent with transcriptional control. For example, stop-gain variants likely acting through nonsense-mediated decay appear only in cellular eQTL. Conversely, nuclear eQTL variants (e.g., TUBGCP4) within enhancers sometimes uniquely colocalize with disease loci (schizophrenia), revealing distinct regulatory mechanisms.

Indexed as

Gene Expression RegulationQuantitative Trait LociRNAAnimalsBrainHumansKidneyPolymorphism, Single NucleotideSchizophreniaTranscription, GeneticRNA

Identifiers

PMID42034632
PMCPMC13319782

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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.