Evidence map›Paper›PMID 30931314›Full record

ArticleFrontiers in cardiovascular medicine2019

Integrative Genomics Analysis Unravels Tissue-Specific Pathways, Networks, and Key Regulators of Blood Pressure Regulation.

Yuqi Zhao, Montgomery Blencowe, Xingyi Shi, Le Shu, Candace Levian, In Sook Ahn, Stuart K Kim, Tianxiao Huan, Daniel Levy, Xia Yang

Open access · goldAbstract read
In one paragraph

Article in Frontiers in cardiovascular medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.8field-weighted citation impact, top 14% 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

15 citing papers in PubMed, 21 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

10 authors at 3 institutions in 1 country.

Yuqi ZhaoDepartment of Integrative Biology and Physiology, University of California, Los Angeles, Los Angeles, CA, United States.
Montgomery BlencoweDepartment of Integrative Biology and Physiology, University of California, Los Angeles, Los Angeles, CA, United States.
Xingyi ShiDepartment of Integrative Biology and Physiology, University of California, Los Angeles, Los Angeles, CA, United States.
Le ShuDepartment of Integrative Biology and Physiology, University of California, Los Angeles, Los Angeles, CA, United States.
Candace LevianDepartment of Integrative Biology and Physiology, University of California, Los Angeles, Los Angeles, CA, United States.
In Sook AhnDepartment of Integrative Biology and Physiology, University of California, Los Angeles, Los Angeles, CA, United States.
Stuart K KimDepartment of Genetics, Department of Developmental Biology, Stanford University Medical Center, Stanford, CA, United States.
Tianxiao HuanThe National Heart Lung and Blood Institute's Framingham Heart Study, Framingham, MA, United States.
Daniel LevyThe National Heart Lung and Blood Institute's Framingham Heart Study, Framingham, MA, United States.
Xia YangDepartment of Integrative Biology and Physiology, University of California, Los Angeles, Los Angeles, CA, United States.
University of California, Los Angeles · USFramingham Heart Study · USStanford Medicine · US

Funding

Framingham Project/LevyZIAHL006001 · NHLBI · NATIONAL HEART, LUNG, AND BLOOD INSTITUTE · PI LEVY, DANIEL · 2009 to 2025
$51.1M
DHA Reverses Gene Network Signatures of Fructose-induced Metabolic SyndromeR01DK104363 · NIDDK · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI YANG, XIA · 2015 to 2019
$2.4M
Cell-specific novel genomic biomarkers of TBI pathologyR21NS103088 · NINDS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI GOMEZ-PINILLA, FERNANDO, YANG, XIA · 2017 to 2018
$406k
THE FRAMINGHAM HEART STUDY-N01HC25195-268025195-268025195N01HC025195 · HC · TRUSTEES OF BOSTON UNIVERSITY · PI WOLF, PHILIP A · 2002 to 2006
–
NHLBI NIH HHS N01 HC025195NIDDK NIH HHS R01 DK104363NINDS NIH HHS R21 NS103088
6 · The paper itself

Abstract

Blood pressure (BP) is a highly heritable trait and a major cardiovascular disease risk factor. Genome wide association studies (GWAS) have implicated a number of susceptibility loci for systolic (SBP) and diastolic (DBP) blood pressure. However, a large portion of the heritability cannot be explained by the top GWAS loci and a comprehensive understanding of the underlying molecular mechanisms is still lacking. Here, we utilized an integrative genomics approach that leveraged multiple genetic and genomic datasets including (a) GWAS for SBP and DBP from the International Consortium for Blood Pressure (ICBP), (b) expression quantitative trait loci (eQTLs) from genetics of gene expression studies of human tissues related to BP, (c) knowledge-driven biological pathways, and (d) data-driven tissue-specific regulatory gene networks. Integration of these multidimensional datasets revealed tens of pathways and gene subnetworks in vascular tissues, liver, adipose, blood, and brain functionally associated with DBP and SBP. Diverse processes such as platelet production, insulin secretion/signaling, protein catabolism, cell adhesion and junction, immune and inflammation, and cardiac/smooth muscle contraction, were shared between DBP and SBP. Furthermore, "Wnt signaling" and "mammalian target of rapamycin (mTOR) signaling" pathways were found to be unique to SBP, while "cytokine network", and "tryptophan catabolism" to DBP. Incorporation of gene regulatory networks in our analysis informed on key regulator genes that orchestrate tissue-specific subnetworks of genes whose variants together explain ~20% of BP heritability. Our results shed light on the complex mechanisms underlying BP regulation and highlight potential novel targets and pathways for hypertension and cardiovascular diseases.

Indexed as

blood pressuregenome wide association studiesintegrative genomicskey driversregulatory networks

Identifiers

PMID30931314
PMCPMC6423920
OpenAlexW2922055193

What OpenQuestion holds

Textmetadata
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.