Evidence map›Paper›PMID 35886906›Full record

ArticleInternational journal of molecular sciences2022

Large-Scale Multi-Omics Studies Provide New Insights into Blood Pressure Regulation.

Zoha Kamali, Jacob M Keaton, Shaghayegh Haghjooy Javanmard, International Consortium Of Blood Pressure, Million Veteran Program, eQTLGen Consortium, Bios Consortium, Todd L Edwards, Harold Snieder, Ahmad Vaez

Abstract read
In one paragraph

Article in International journal of molecular sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 2 pooled it
–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

20 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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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.

Zoha KamaliDepartment of Epidemiology, University of Groningen, University Medical Centre Groningen, 9713 GZ Groningen, The Netherlands.ORCID 0000-0001-6492-5887
Jacob M KeatonDivision of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN 37203, USA.
Shaghayegh Haghjooy JavanmardApplied Physiology Research Centre, Cardiovascular Research Institute, Isfahan University of Medical Sciences, Isfahan P.O. Box 81746-7346, Iran.
International Consortium Of Blood Pressure
Million Veteran Program
eQTLGen Consortium
Bios Consortium
Todd L EdwardsDivision of Epidemiology, Department of Medicine, Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN 37204, USA.
Harold SniederDepartment of Epidemiology, University of Groningen, University Medical Centre Groningen, 9713 GZ Groningen, The Netherlands.ORCID 0000-0003-1949-2298
Ahmad VaezDepartment of Epidemiology, University of Groningen, University Medical Centre Groningen, 9713 GZ Groningen, The Netherlands.ORCID 0000-0001-9048-3795

Funding

Improving precision health approaches through large-scale EHRs and biobanksZIAHG200417 · NHGRI · NATIONAL HUMAN GENOME RESEARCH INSTITUTE · PI DENNY, JOSHUA · 2022 to 2024
$4.2M
Isfahan University of Medical Sciences 397259
6 · The paper itself

Abstract

Recent genome-wide association studies uncovered part of blood pressure's heritability. However, there is still a vast gap between genetics and biology that needs to be bridged. Here, we followed up blood pressure genome-wide summary statistics of over 750,000 individuals, leveraging comprehensive epigenomic and transcriptomic data from blood with a follow-up in cardiovascular tissues to prioritise likely causal genes and underlying blood pressure mechanisms. We first prioritised genes based on coding consequences, multilayer molecular associations, blood pressure-associated expression levels, and coregulation evidence. Next, we followed up the prioritised genes in multilayer studies of genomics, epigenomics, and transcriptomics, functional enrichment, and their potential suitability as drug targets. Our analyses yielded 1880 likely causal genes for blood pressure, tens of which are targets of the available licensed drugs. We identified 34 novel genes for blood pressure, supported by more than one source of biological evidence. Twenty-eight (82%) of these new genes were successfully replicated by transcriptome-wide association analyses in a large independent cohort (

Indexed as

Epigenesis, GeneticGenome-Wide Association StudyBlood PressureEpigenomicsGenomicsHumansTranscriptomeblood pressureepigenomefunctional enrichmentgene expressiongenome

Identifiers

PMID35886906
PMCPMC9323755

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.