Evidence map›Paper›PMID 28957322›Full record

ArticlePLoS genetics2017

Shared genetic regulatory networks for cardiovascular disease and type 2 diabetes in multiple populations of diverse ethnicities in the United States.

Le Shu, Kei Hang K Chan, Guanglin Zhang, Tianxiao Huan, Zeyneb Kurt, Yuqi Zhao, Veronica Codoni, David-Alexandre Trégouët, Cardiogenics Consortium, Jun Yang and 6 more

Open access · goldAbstract read
In one paragraph

Article in PLoS genetics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 61 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
61citing papers in PubMed, 2 pooled it
4.9field-weighted citation impact, top 4% 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

61 citing papers in PubMed, 2 syntheses or guidelines pooled it, 84 citations in OpenAlex.

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  15. Chronic adolescent exposure to cannabis in mice leads to sex-biased changes in gene expression networks across brain regions.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2022
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1 more citing papers are in PubMed but not listed here.

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 at 8 institutions in 4 countries.

Le ShuDepartment of Integrative Biology and Physiology, University of California, Los Angeles, Los Angeles, CA, United States of America.ORCID http://orcid.org/0000-0001-5428-1969
Kei Hang K ChanDepartments of Epidemiology and Medicine and Center for Global Cardiometabolic Health, Brown University, Providence, RI, United States of America.ORCID http://orcid.org/0000-0001-9070-5394
Guanglin ZhangDepartment of Integrative Biology and Physiology, University of California, Los Angeles, Los Angeles, CA, United States of America.
Tianxiao HuanThe Framingham Heart Study, Framingham, MA, USA and the Population Sciences Branch, National Heart, Lung, and Blood Institute, Bethesda, MD, United States of America.ORCID http://orcid.org/0000-0001-5840-9413
Zeyneb KurtDepartment of Integrative Biology and Physiology, University of California, Los Angeles, Los Angeles, CA, United States of America.ORCID http://orcid.org/0000-0003-3186-8091
Yuqi ZhaoDepartment of Integrative Biology and Physiology, University of California, Los Angeles, Los Angeles, CA, United States of America.ORCID http://orcid.org/0000-0003-0730-5854
Veronica CodoniSorbonne Universités, UPMC Univ. Paris 06, INSERM, UMR_S 1166, Team Genomics & Pathophysiology of Cardiovascular Diseases, Paris, France.
David-Alexandre TrégouëtSorbonne Universités, UPMC Univ. Paris 06, INSERM, UMR_S 1166, Team Genomics & Pathophysiology of Cardiovascular Diseases, Paris, France.ORCID http://orcid.org/0000-0001-9084-7800
Cardiogenics Consortium
Jun YangDepartment of Public Health, Hangzhou Normal University School of Medicine, Hangzhou, China.
James G WilsonDepartment of Physiology and Biophysics, University of Mississippi Medical Center, Jackson, MS, United States of America.
Xi LuoDepartment of Biostatistics, Brown University, Providence, RI, United States of America.ORCID http://orcid.org/0000-0002-0909-9372
Daniel LevyThe Framingham Heart Study, Framingham, MA, USA and the Population Sciences Branch, National Heart, Lung, and Blood Institute, Bethesda, MD, United States of America.
Aldons J LusisDepartments of Medicine, Human Genetics, and Microbiology, Immunology, and Molecular Genetics, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, United States of America.
Simin LiuDepartments of Epidemiology and Medicine and Center for Global Cardiometabolic Health, Brown University, Providence, RI, United States of America.
Xia YangDepartment of Integrative Biology and Physiology, University of California, Los Angeles, Los Angeles, CA, United States of America.
University of California, Los Angeles · USBrown University · USInserm · FRNational Heart Lung and Blood Institute · USChinese University of Hong Kong · HKHangzhou Normal University · CNJackson Memorial Hospital · USQB3 · US

Funding

Tracking and Evaluation CoreU54GM115428 · NIGMS · UNIVERSITY OF MISSISSIPPI MED CTR · PI HALL, JOHN E · 2016 to 2025
$38.2M
DHA Reverses Gene Network Signatures of Fructose-induced Metabolic SyndromeR01DK104363 · NIDDK · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI YANG, XIA · 2015 to 2019
$2.4M
SNRK(sucrose non-fermenting related kinase)and adipose energy homeostasisR01DK103699 · NIDDK · BROWN UNIVERSITY · PI XU, HAIYAN · 2015 to 2018
$1.6M
THE FRAMINGHAM HEART STUDY-N01HC25195-268025195-268025195N01HC025195 · HC · TRUSTEES OF BOSTON UNIVERSITY · PI WOLF, PHILIP A · 2002 to 2006
–
NHLBI NIH HHS HHSN268201300046CNHLBI NIH HHS HHSN268201300047CNHLBI NIH HHS HHSN268201300048CNHLBI NIH HHS HHSN268201300049CNHLBI NIH HHS HHSN268201300050CNHLBI NIH HHS N01 HC025195NIDDK NIH HHS R01 DK103699NIDDK NIH HHS R01 DK104363NIGMS NIH HHS U54 GM115428
6 · The paper itself

Abstract

Cardiovascular diseases (CVD) and type 2 diabetes (T2D) are closely interrelated complex diseases likely sharing overlapping pathogenesis driven by aberrant activities in gene networks. However, the molecular circuitries underlying the pathogenic commonalities remain poorly understood. We sought to identify the shared gene networks and their key intervening drivers for both CVD and T2D by conducting a comprehensive integrative analysis driven by five multi-ethnic genome-wide association studies (GWAS) for CVD and T2D, expression quantitative trait loci (eQTLs), ENCODE, and tissue-specific gene network models (both co-expression and graphical models) from CVD and T2D relevant tissues. We identified pathways regulating the metabolism of lipids, glucose, and branched-chain amino acids, along with those governing oxidation, extracellular matrix, immune response, and neuronal system as shared pathogenic processes for both diseases. Further, we uncovered 15 key drivers including HMGCR, CAV1, IGF1 and PCOLCE, whose network neighbors collectively account for approximately 35% of known GWAS hits for CVD and 22% for T2D. Finally, we cross-validated the regulatory role of the top key drivers using in vitro siRNA knockdown, in vivo gene knockout, and two Hybrid Mouse Diversity Panels each comprised of >100 strains. Findings from this in-depth assessment of genetic and functional data from multiple human cohorts provide strong support that common sets of tissue-specific molecular networks drive the pathogenesis of both CVD and T2D across ethnicities and help prioritize new therapeutic avenues for both CVD and T2D.

Indexed as

Gene Regulatory NetworksAdipocytesAmino Acids, Branched-ChainAnimalsCardiovascular DiseasesCaveolin 1Diabetes Mellitus, Type 2Disease Models, AnimalEthnicityExtracellular Matrix ProteinsGene Expression RegulationGenome-Wide Association StudyGlucoseGlycoproteinsHumansHydroxymethylglutaryl CoA ReductasesAmino Acids, Branched-ChainCav1 protein, mouseCaveolin 1Extracellular Matrix ProteinsGlucoseGlycoproteinsHydroxymethylglutaryl CoA Reductasesinsulin-like growth factor-1, mouseInsulin-Like Growth Factor IPcolce protein, mouse

Identifiers

PMID28957322
PMCPMC5634657
OpenAlexW2759319697

What OpenQuestion holds

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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.