Evidence map›Paper›PMID 38216744›Full record

ArticleCommunications biology2024

Protein interaction networks in the vasculature prioritize genes and pathways underlying coronary artery disease.

Qiuyu Martin Zhu, Yu-Han H Hsu, Frederik H Lassen, Bryan T MacDonald, Stephanie Stead, Edyta Malolepsza, April Kim, Taibo Li, Taiji Mizoguchi, Monica Schenone and 7 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Communications biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.4field-weighted citation impact, top 12% 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

5 citing papers in PubMed, 10 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
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  5. 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

17 authors at 2 institutions in 3 countries.

Qiuyu Martin Zhu *Cardiovascular Disease Initiative & Precision Cardiology Laboratory, Broad Institute of MIT and Harvard, Cambridge, MA, USA.ORCID 0000-0003-2751-7985
Yu-Han H Hsu *Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA.ORCID 0000-0003-4063-0552
Frederik H Lassen *Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA.ORCID 0000-0003-0312-209X
Bryan T MacDonaldCardiovascular Disease Initiative & Precision Cardiology Laboratory, Broad Institute of MIT and Harvard, Cambridge, MA, USA.ORCID 0000-0002-2090-2066
Stephanie SteadCardiovascular Disease Initiative & Precision Cardiology Laboratory, Broad Institute of MIT and Harvard, Cambridge, MA, USA.ORCID 0000-0002-0933-9065
Edyta MalolepszaGenomics Platform, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
April KimStanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
Taibo LiStanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA.ORCID 0000-0002-6624-9293
Taiji MizoguchiCardiovascular Disease Initiative & Precision Cardiology Laboratory, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
Monica SchenoneProteomics Platform, Broad Institute of MIT and Harvard, Cambridge, MA, USA.ORCID 0000-0002-6456-8768
Gaelen GuzmanProteomics Platform, Broad Institute of MIT and Harvard, Cambridge, MA, USA.ORCID 0000-0002-7696-6034
Benjamin TanenbaumProteomics Platform, Broad Institute of MIT and Harvard, Cambridge, MA, USA.ORCID 0000-0001-7803-3839
Nadine FornelosStanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
Steven A CarrProteomics Platform, Broad Institute of MIT and Harvard, Cambridge, MA, USA.ORCID 0000-0002-7203-4299
Rajat M GuptaDivisions of Cardiovascular Medicine and Genetics, Brigham and Women's Hospital, Boston, MA, USA.ORCID 0000-0001-9865-4106
Patrick T EllinorCardiovascular Disease Initiative & Precision Cardiology Laboratory, Broad Institute of MIT and Harvard, Cambridge, MA, USA. ellinor@mgh.harvard.edu.ORCID 0000-0002-2067-0533
Kasper LageStanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA. klage@broadinstitute.org.ORCID 0000-0001-6827-6239
Broad Institute · USBrigham and Women's Hospital · US

Funding

IDENTIFICATION OF COMMON GENETIC VARIANTS FOR ATRIAL FIBRILLATION AND PR INTERVALR01HL092577 · NHLBI · MASSACHUSETTS GENERAL HOSPITAL · PI BENJAMIN, EMELIA J., ELLINOR, PATRICK THOMAS · 2009 to 2025
$20.6M
Rare Sequence Variation and Diabetes Quantitative TraitsU01DK078616 · NIDDK · MASSACHUSETTS GENERAL HOSPITAL · PI MEIGS, JAMES B · 2015 to 2019
$3.6M
A genetic approach to identify the common mechanisms of vascular diseaseDP2HL152423 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI GUPTA, RAJAT M · 2019 to 2022
$2.8M
2/3 Building Integrative CNS Networks for Genomic Analysis of AutismR01MH109903 · NIMH · MASSACHUSETTS GENERAL HOSPITAL · PI HANSEN, KASPER LAGE · 2016 to 2020
$1.4M
Harvard Training Program in Bioinformatics Applied to Diabetes, Obesity and Metabolism.T32DK110919 · NIDDK · MASSACHUSETTS GENERAL HOSPITAL · PI FLOREZ, JOSE CARLOS, PATEL, CHIRAG J. · 2017 to 2021
$1.3M
Mentoring in Arrhythmia ResearchK24HL105780 · NHLBI · MASSACHUSETTS GENERAL HOSPITAL · PI ELLINOR, PATRICK THOMAS · 2011 to 2020
$1.2M
From association to function at the PHACTR1 GWAS locus for coronary atherosclerosisK08HL128810 · NHLBI · MASSACHUSETTS GENERAL HOSPITAL · PI GUPTA, RAJAT M · 2016 to 2020
$855k
From genetic risk variants to convergent protein networks: an integrative approach to elucidate the causal molecular mechanisms of schizophrenia.U01MH121499 · NIMH · BROAD INSTITUTE, INC. · PI HANSEN, KASPER LAGE · 2020 to 2020
$829k
Single cell analysis of gene expression in human vascular cellsR03HL148483 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI GUPTA, RAJAT M · 2019 to 2020
$179k
NHLBI NIH HHS DP2 HL152423NHLBI NIH HHS K08 HL128810NHLBI NIH HHS K24 HL105780NHLBI NIH HHS R01 HL092577NHLBI NIH HHS R03 HL148483NIDDK NIH HHS T32 DK110919NIDDK NIH HHS U01 DK078616NIMH NIH HHS R01 MH109903NIMH NIH HHS U01 MH121499
6 · The paper itself

Abstract

Population-based association studies have identified many genetic risk loci for coronary artery disease (CAD), but it is often unclear how genes within these loci are linked to CAD. Here, we perform interaction proteomics for 11 CAD-risk genes to map their protein-protein interactions (PPIs) in human vascular cells and elucidate their roles in CAD. The resulting PPI networks contain interactions that are outside of known biology in the vasculature and are enriched for genes involved in immunity-related and arterial-wall-specific mechanisms. Several PPI networks derived from smooth muscle cells are significantly enriched for genetic variants associated with CAD and related vascular phenotypes. Furthermore, the networks identify 61 genes that are found in genetic loci associated with risk of CAD, prioritizing them as the causal candidates within these loci. These findings indicate that the PPI networks we have generated are a rich resource for guiding future research into the molecular pathogenesis of CAD.

Indexed as

Coronary Artery DiseaseGene Regulatory NetworksGenetic LociHumansProtein Interaction MapsProteomics

Identifiers

PMID38216744
PMCPMC10786878
OpenAlexW4390815326

What OpenQuestion holds

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LicenceCC BY
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.