Evidence map›Paper›PMID 34648097›Full record

ReviewCurrent atherosclerosis reports2021

Gene-Environment Interactions for Cardiovascular Disease.

Jaana A Hartiala, James R Hilser, Subarna Biswas, Aldons J Lusis, Hooman Allayee

Abstract readReview
In one paragraph

Review in Current atherosclerosis reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed
–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

36 citing papers in PubMed.

  1. Review
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  3. Review
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  6. Associations and interaction effects of socioeconomic, lifestyle, and genetic factors on intrinsic capacity.The journals of gerontology. Series A, Biological sciences and medical sciences · 2026
    Article
  7. Review
  8. Review
  9. Article
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  11. Review
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  15. Targeting the Epigenetic Remodeler GCN5 Prevents Vascular Oxidative Stress and Endothelial Dysfunction in Obesity: Insights in Patients with Cardiometabolic Disease.High blood pressure & cardiovascular prevention : the official journal of the Italian Society of Hypertension · 2025
    Article
  16. Article
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  19. Review
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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

5 authors.

Jaana A HartialaDepartment of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, 2250 Alcazar Street, CSC202, Los Angeles, CA, 90033, USA.
James R HilserDepartment of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, 2250 Alcazar Street, CSC202, Los Angeles, CA, 90033, USA.
Subarna BiswasDepartment of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, 2250 Alcazar Street, CSC202, Los Angeles, CA, 90033, USA.
Aldons J LusisDepartment of Medicine, David Geffen School of Medicine of UCLA, Los Angeles, CA, 90095, USA.
Hooman AllayeeDepartment of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, 2250 Alcazar Street, CSC202, Los Angeles, CA, 90033, USA. hallayee@usc.edu.ORCID http://orcid.org/0000-0002-2384-5239

Funding

Systems Genetics Dissection of Non-alcoholic SteatohepatitisR01DK117850 · NIDDK · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Aldons Jake Lusis · 2019 to 2026
$4.6M
Nutrigenetic Intervention to Reduce Liver Fat in Hispanics - SupplementR01MD010358 · NIMHD · UNIVERSITY OF SOUTHERN CALIFORNIA · PI GORAN, MICHAEL ISAAC · 2016 to 2019
$3.3M
Role of Glycine Metabolism in Cardiovascular DiseaseR01HL133169 · NHLBI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI ALLAYEE, HOOMAN · 2017 to 2020
$3.3M
Systems genetics approach to inflammatory mechanisms in atherosclerosisR01HL147883 · NHLBI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI LUSIS, ALDONS JAKE · 2019 to 2022
$3.0M
Genetic and Environmental Determinants of Asthma EndophenotypesR01ES025786 · NIEHS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI AKBARI, OMID, ALLAYEE, HOOMAN · 2015 to 2019
$2.8M
Gut microbiota and metabolite interactions in atherosclerosisR01HL144651 · NHLBI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI LUSIS, ALDONS JAKE, REY, FEDERICO E · 2019 to 2022
$2.6M
Biological Mechanisms through which TMAO Promotes AtherosclerosisR01HL148110 · NHLBI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI ALLAYEE, HOOMAN, SHIH, DIANA MOUHAN · 2020 to 2023
$2.5M
NHLBI NIH HHS R01 HL133169NHLBI NIH HHS R01 HL144651NHLBI NIH HHS R01 HL147883NHLBI NIH HHS R01 HL148110NIDDK NIH HHS R01 DK117850NIEHS NIH HHS R01 ES025786NIMHD NIH HHS R01 MD010358
6 · The paper itself

Abstract

purpose of reviewWe provide an overview of recent findings with respect to gene-environment (GxE) interactions for cardiovascular disease (CVD) risk and discuss future opportunities for advancing the field. RECENT

findingsOver the last several years, GxE interactions for CVD have mostly been identified for smoking and coronary artery disease (CAD) or related risk factors. By comparison, there is more limited evidence for GxE interactions between CVD outcomes and other exposures, such as physical activity, air pollution, diet, and sex. The establishment of large consortia and population-based cohorts, in combination with new computational tools and mouse genetics platforms, can potentially overcome some of the limitations that have hindered human GxE interaction studies and reveal additional association signals for CVD-related traits. The identification of novel GxE interactions is likely to provide a better understanding of the pathogenesis and genetic liability of CVD, with significant implications for healthy lifestyles and therapeutic strategies.

Indexed as

Cardiovascular DiseasesGene-Environment InteractionAnimalsGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansMicePhenotypeRisk FactorsCardiovascular diseaseEnvironmental factorsGene-environment interactionsGeneticsGenome-wide association study

Identifiers

PMID34648097
PMCPMC8903169

What OpenQuestion holds

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Read underepoch 390

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.