Evidence map›Paper›PMID 32496909›Full record

ReviewCirculation research2020

Systems Genetics for Mechanistic Discovery in Heart Diseases.

Christoph D Rau, Aldons J Lusis, Yibin Wang

Open access · bronzeAbstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Circulation research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
0.7field-weighted citation impact, top 33% 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

11 citing papers in PubMed, 19 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Genome Editing in Dyslipidemia and Atherosclerosis.Advances in experimental medicine and biology · 2023
    Review
  7. Article
  8. YAP: The nexus between metabolism and cardiac remodeling.The Journal of clinical investigation · 2022
    Article
  9. Understanding the molecular basis of cardiomyopathy.American journal of physiology. Heart and circulatory physiology · 2022
    Review
  10. Article
  11. The Human Explanted Heart Program: A translational bridge for cardiovascular medicine.Biochimica et biophysica acta. Molecular basis of disease · 2021
    Review
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 at 1 institution in 1 country.

Christoph D RauFrom the Departments of Anesthesiology (C.D.R., Y.W.), David Geffen School of Medicine, University of California, Los Angeles.
Aldons J LusisHuman Genetics and Medicine (A.J.L.), David Geffen School of Medicine, University of California, Los Angeles.
Yibin WangFrom the Departments of Anesthesiology (C.D.R., Y.W.), David Geffen School of Medicine, University of California, Los Angeles.
University of California, Los Angeles · US

Funding

Gut microbiota and metabolite interactions in atherosclerosisR01HL144651 · NHLBI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Aldons Jake Lusis, Federico E Rey · 2021 to 2022
$1.3M
Systems Genetics Dissection of Non-alcoholic SteatohepatitisR01DK117850 · UNIVERSITY OF CALIFORNIA LOS ANGELES · 2025 to 2025
$654k
BCAA Catabolic Defect in HF: Novel Mechanism and Therapeutic TargetR01HL140116 · NHLBI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Zhaoping Li · 2021 to 2021
$390k
NHLBI NIH HHS K99 HL138301NHLBI NIH HHS R01 HL114437NHLBI NIH HHS R01 HL123295NHLBI NIH HHS R01 HL129639NHLBI NIH HHS R01 HL140116NHLBI NIH HHS R01 HL144651NHLBI NIH HHS R01 HL147883NIDDK NIH HHS R01 DK117850
6 · The paper itself

Abstract

Cardiovascular diseases are the leading cause of death worldwide. Complex diseases with highly heterogenous disease progression among patient populations, cardiovascular diseases feature multifactorial contributions from both genetic and environmental stressors. Despite significant effort utilizing multiple approaches from molecular biology to genome-wide association studies, the genetic landscape of cardiovascular diseases, particularly for the nonfamilial forms of heart failure, is still poorly understood. In the past decade, systems-level approaches based on omics technologies have become an important approach for the study of complex traits in large populations. These advances create opportunities to integrate genetic variation with other biological layers to identify and prioritize candidate genes, understand pathogenic pathways, and elucidate gene-gene and gene-environment interactions. In this review, we will highlight some of the recent progress made using systems genetics approaches to uncover novel mechanisms and molecular bases of cardiovascular pathophysiological manifestations. The key technology and data analysis platforms necessary to implement systems genetics will be described, and the current major challenges and future directions will also be discussed. For complex cardiovascular diseases, such as heart failure, systems genetics represents a powerful strategy to obtain mechanistic insights and to develop individualized diagnostic and therapeutic regiments, paving the way for precision cardiovascular medicine.

Indexed as

AnimalsGenetic Predisposition to DiseaseGenome-Wide Association StudyGenomicsHeart DiseasesHumansSystems Biologycause of deathdata analysisgenesgeneticsheart diseasessystems biology

Identifiers

PMID32496909
PMCPMC7286104
OpenAlexW3034169670

What Socratic holds

Textmetadata
LicenceTDM
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 Socratic graph.