Evidence map›Paper›PMID 38320554›Full record

ArticleAmerican journal of human genetics2024

Transcriptome-wide association study of the plasma proteome reveals cis and trans regulatory mechanisms underlying complex traits.

Henry Wittich, Kristin Ardlie, Kent D Taylor, Peter Durda, Yongmei Liu, Anna Mikhaylova, Chris R Gignoux, Michael H Cho, Stephen S Rich, Jerome I Rotter and 4 more

Open access · greenAbstract read
In one paragraph

Article in American journal of human genetics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
8.3field-weighted citation impact, top 2% 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

11 citing papers in PubMed, 13 citations in OpenAlex.

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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 10 institutions in 1 country.

Henry WittichProgram in Bioinformatics, Loyola University Chicago, Chicago, IL 60660, USA.
Kristin ArdlieBroad Institute of MIT and Harvard, Cambridge, MA 02142, USA.
Kent D TaylorThe Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA 90502, USA.
Peter DurdaLaboratory for Clinical Biochemistry Research, University of Vermont, Colchester, VT 05446, USA.
Yongmei LiuDepartment of Medicine, Duke University School of Medicine, Durham, NC 27710, USA.
Anna MikhaylovaDepartment of Biostatistics, University of Washington, Seattle, WA 98195, USA.
Chris R GignouxDivision of Biomedical Informatics and Personalized Medicine, Department of Medicine, University of Colorado Denver Anschutz Medical Campus, Aurora, CO 80045, USA.
Michael H ChoChanning Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, MA 02115, USA.
Stephen S RichCenter for Public Health Genomics, Department of Public Health Sciences, University of Virginia, Charlottesville, VA 22908, USA.
Jerome I RotterThe Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA 90502, USA.
NHLBI TOPMed Consortium
Ani ManichaikulCenter for Public Health Genomics, Department of Public Health Sciences, University of Virginia, Charlottesville, VA 22908, USA.
Hae Kyung ImSection of Genetic Medicine, The University of Chicago, Chicago, IL 60637, USA.
Heather E WheelerProgram in Bioinformatics, Loyola University Chicago, Chicago, IL 60660, USA; Department of Biology, Loyola University Chicago, Chicago, IL 60660, USA. Electronic address: hwheeler1@luc.edu.
Loyola University Chicago · USOffice of Public Health Genomics · USUCLA Medical Center · USBrigham and Women's Hospital · USBroad Institute · USDuke University · USUniversity of Chicago · USUniversity of Colorado Anschutz Medical Campus · USUniversity of Vermont · USUniversity of Washington · US

Funding

Pilot and Feasibility ProgramP30DK020595 · NIDDK · UNIVERSITY OF CHICAGO · PI RONALD N COHEN · 2013 to 2026
$20.9M
Predicting gene regulation across populations to understand mechanisms underlying complex traitsR15HG009569 · NHGRI · LOYOLA UNIVERSITY OF CHICAGO · PI WHEELER, HEATHER ELIZABETH · 2017 to 2023
$1.3M
NHGRI NIH HHS R15 HG009569NIDDK NIH HHS P30 DK020595
6 · The paper itself

Abstract

Regulation of transcription and translation are mechanisms through which genetic variants affect complex traits. Expression quantitative trait locus (eQTL) studies have been more successful at identifying cis-eQTL (within 1 Mb of the transcription start site) than trans-eQTL. Here, we tested the cis component of gene expression for association with observed plasma protein levels to identify cis- and trans-acting genes that regulate protein levels. We used transcriptome prediction models from 49 Genotype-Tissue Expression (GTEx) Project tissues to predict the cis component of gene expression and tested the predicted expression of every gene in every tissue for association with the observed abundance of 3,622 plasma proteins measured in 3,301 individuals from the INTERVAL study. We tested significant results for replication in 971 individuals from the Trans-omics for Precision Medicine (TOPMed) Multi-Ethnic Study of Atherosclerosis (MESA). We found 1,168 and 1,210 cis- and trans-acting associations that replicated in TOPMed (FDR < 0.05) with a median expected true positive rate (π

Indexed as

ProteomeTranscriptomeGenome-Wide Association StudyHumansMultifactorial InheritancePolymorphism, Single NucleotideQuantitative Trait LociProteomeautoimmune diseasescis-eQTLgene expressiongenetic predictionheritabilityplasma proteometranscription factorstrans-eQTLTWAS

Identifiers

PMID38320554
PMCPMC10940016
OpenAlexW4391542468

What OpenQuestion holds

Textmetadata
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.