Evidence map›Paper›PMID 36854752›Full record

ArticleNature communications2023

Fine mapping spatiotemporal mechanisms of genetic variants underlying cardiac traits and disease.

Matteo D'Antonio, Jennifer P Nguyen, Timothy D Arthur, iPSCORE Consortium, Hiroko Matsui, Agnieszka D'Antonio-Chronowska, Kelly A Frazer

Erratum issuedAbstract read
In one paragraph

Article in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
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  6. Review
  7. Article
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  9. Genetics, transcriptomics, metagenomics, and metabolomics in the pathogenesis and prediction of atrial fibrillation.European heart journal supplements : journal of the European Society of Cardiology · 2024
    Article
  10. Article
  11. Article
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  13. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Matteo D'Antonio *Department of Pediatrics, University of California San Diego, La Jolla, CA, 92093, USA. madantonio@ucsd.edu.ORCID http://orcid.org/0000-0001-5844-6433
Jennifer P Nguyen *Division of Biomedical Informatics, University of California, San Diego, La Jolla, CA, 92093, USA.
Timothy D ArthurDivision of Biomedical Informatics, University of California, San Diego, La Jolla, CA, 92093, USA.
iPSCORE Consortium
Hiroko MatsuiInstitute of Genomic Medicine, University of California San Diego, 9500 Gilman Dr, La Jolla, CA, 92093, USA.
Agnieszka D'Antonio-ChronowskaDepartment of Pediatrics, University of California San Diego, La Jolla, CA, 92093, USA.
Kelly A FrazerDepartment of Pediatrics, University of California San Diego, La Jolla, CA, 92093, USA. kafrazer@health.ucsd.edu.ORCID http://orcid.org/0000-0002-6060-8902

Funding

Genetic & Social Determinants of Health: Center for Admixture Science and TechnologyRM1HG011558 · NHGRI · YALE UNIVERSITY · PI FRAZER, KELLY A, GYMREK, MELISSA · 2021 to 2025
$11.2M
REGULATORY GENOMIC STUDIES IN A COHORT OF IPS CELL DERIVED CARDIOMYOCYTESU01HL107442 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI EVANS, SYLVIA M, FRAZER, KELLY A · 2011 to 2016
$9.8M
San Diego Biomedical Informatics Education & Research (SABER)T15LM011271 · NLM · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI SHAMIM NEMATI · 2012 to 2026
$9.7M
Commercialization of HaploSeq as a Service (HaaS) for generating chromosome-span phased genome and exome sequence informationR44HG008118 · NHGRI · ARIMA GENOMICS, INC. · PI DIXON, JESSE R, LAURENT, LOUISE CHANG · 2018 to 2019
$1.7M
Optimizing HaploSeq for whole-genome phased haplotypes in biomedical applicationsR41HG008118 · NHGRI · ARIMA GENOMICS, LLC · PI FRAZER, KELLY A, HEINTZMAN, NATE · 2015 to 2016
$822k
Pancreas cell type-specific regulatory variants and T2D disease risk associationF31DK131867 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI NGUYEN, JENNIFER PHUONG · 2022 to 2023
$80k
Cardiac stage-specific regulatory variants and their disease risk associationF31HL158198 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI ARTHUR, TIMOTHY DONALD · 2021 to 2022
$79k
NHGRI NIH HHS R41 HG008118NHGRI NIH HHS R44 HG008118NHGRI NIH HHS RM1 HG011558NHLBI NIH HHS F31 HL158198NHLBI NIH HHS U01 HL107442NIDDK NIH HHS F31 DK131867NLM NIH HHS T15 LM011271
6 · The paper itself

Abstract

The causal variants and genes underlying thousands of cardiac GWAS signals have yet to be identified. Here, we leverage spatiotemporal information on 966 RNA-seq cardiac samples and perform an expression quantitative trait locus (eQTL) analysis detecting eQTLs considering both eGenes and eIsoforms. We identify 2,578 eQTLs associated with a specific developmental stage-, tissue- and/or cell type. Colocalization between eQTL and GWAS signals of five cardiac traits identified variants with high posterior probabilities for being causal in 210 GWAS loci. Pulse pressure GWAS loci are enriched for colocalization with fetal- and smooth muscle- eQTLs; pulse rate with adult- and cardiac muscle- eQTLs; and atrial fibrillation with cardiac muscle- eQTLs. Fine mapping identifies 79 credible sets with five or fewer SNPs, of which 15 were associated with spatiotemporal eQTLs. Our study shows that many cardiac GWAS variants impact traits and disease in a developmental stage-, tissue- and/or cell type-specific fashion.

Indexed as

Atrial FibrillationHeartBlood PressureFetusHumansMyocardium

Identifiers

PMID36854752
PMCPMC9975214

What OpenQuestion holds

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Registered trials

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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.