Evidence map›Paper›PMID 31380393›Full record

ReviewFrontiers in cardiovascular medicine2019

Relevance of Multi-Omics Studies in Cardiovascular Diseases.

Paola Leon-Mimila, Jessica Wang, Adriana Huertas-Vazquez

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review 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 92 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
92citing papers in PubMed, 3 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

92 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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32 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

3 authors.

Paola Leon-MimilaDivision of Cardiology, David Geffen School of Medicine, Department of Medicine, University of California, Los Angeles, Los Angeles, CA, United States.
Jessica WangDivision of Cardiology, David Geffen School of Medicine, Department of Medicine, University of California, Los Angeles, Los Angeles, CA, United States.
Adriana Huertas-VazquezDivision of Cardiology, David Geffen School of Medicine, Department of Medicine, University of California, Los Angeles, Los Angeles, CA, United States.

Funding

Sex Differences in the Metabolic SyndromeU54DK120342 · NIDDK · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI REUE, KAREN · 2018 to 2022
$7.6M
Epigenomic Mechanisms of Heart FailureR01HL129639 · NHLBI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI VONDRISKA, THOMAS M. · 2015 to 2018
$2.6M
Functional Validation of Myh14 in Stress-Induced Cardiac Remodeling.K08HL133491 · NHLBI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI WANG, JESSICA J · 2017 to 2021
$875k
NHLBI NIH HHS K08 HL133491NHLBI NIH HHS R01 HL129639NIDDK NIH HHS U54 DK120342
6 · The paper itself

Abstract

Cardiovascular diseases are the leading cause of death around the world. Despite the larger number of genes and loci identified, the precise mechanisms by which these genes influence risk of cardiovascular disease is not well understood. Recent advances in the development and optimization of high-throughput technologies for the generation of "omics data" have provided a deeper understanding of the processes and dynamic interactions involved in human diseases. However, the integrative analysis of "omics" data is not straightforward and represents several logistic and computational challenges. In spite of these difficulties, several studies have successfully applied integrative genomics approaches for the investigation of novel mechanisms and plasma biomarkers involved in cardiovascular diseases. In this review, we summarized recent studies aimed to understand the molecular framework of these diseases using multi-omics data from mice and humans. We discuss examples of omics studies for cardiovascular diseases focused on the integration of genomics, epigenomics, transcriptomics, and proteomics. This review also describes current gaps in the study of complex diseases using systems genetics approaches as well as potential limitations and future directions of this emerging field.

Indexed as

cardiovascular diseasedata integrationheart diseasemulti-omicssystems biology

Identifiers

PMID31380393
PMCPMC6656333

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.