Evidence map›Paper›PMID 35987633›Full record

SynthesisBMC cardiovascular disorders2022

Gene-diet interactions and cardiovascular diseases: a systematic review of observational and clinical trials.

Zayne M Roa-Díaz, Julian Teuscher, Magda Gamba, Marvin Bundo, Giorgia Grisotto, Faina Wehrli, Edna Gamboa, Lyda Z Rojas, Sergio A Gómez-Ochoa, Sanne Verhoog and 7 more

Abstract readSystematic Review
In one paragraph

Synthesis in BMC cardiovascular disorders, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

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

  1. Polygenic Risk and Nutrient Intake Interactions on Obesity Outcomes: A Systematic Review and Meta-Analysis of Observational Studies.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2025
    Pooled it
  2. Pooled it
  3. Pooled it
  4. Trial
  5. Trial
  6. The Future for Personalised Nutrition.Nutrition bulletin · 2026
    Article
  7. Review
  8. Review
  9. Review
  10. Gene-diet interaction betweenFrontiers in nutrition · 2026
    Article
  11. Article
  12. Review
  13. Article
  14. Review
  15. Article
  16. Review
  17. Article
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

17 authors.

Zayne M Roa-DíazInstitute of Social and Preventive Medicine (ISPM), University of Bern, Mittelstrasse 43, 3012, Bern, Switzerland. zayne.roadiaz@ispm.unibe.ch.
Julian TeuscherInstitute of Social and Preventive Medicine (ISPM), University of Bern, Mittelstrasse 43, 3012, Bern, Switzerland.
Magda GambaInstitute of Social and Preventive Medicine (ISPM), University of Bern, Mittelstrasse 43, 3012, Bern, Switzerland.
Marvin BundoInstitute of Social and Preventive Medicine (ISPM), University of Bern, Mittelstrasse 43, 3012, Bern, Switzerland.
Giorgia GrisottoInstitute of Social and Preventive Medicine (ISPM), University of Bern, Mittelstrasse 43, 3012, Bern, Switzerland.
Faina WehrliInstitute of Social and Preventive Medicine (ISPM), University of Bern, Mittelstrasse 43, 3012, Bern, Switzerland.
Edna GamboaSchool of Nutrition and Dietetics, Health Faculty, Universidad Industrial de Santander, Bucaramanga, Colombia.
Lyda Z RojasNursing Research and Knowledge Development Group GIDCEN, Fundación Cardiovascular de Colombia, Floridablanca, Colombia.
Sergio A Gómez-OchoaInstitute of Social and Preventive Medicine (ISPM), University of Bern, Mittelstrasse 43, 3012, Bern, Switzerland.
Sanne VerhoogInstitute of Social and Preventive Medicine (ISPM), University of Bern, Mittelstrasse 43, 3012, Bern, Switzerland.
Manuel Frias VargasCentro de Salud Universitario Comillas, Madrid, Spain.
Beatrice MinderPublic Health & Primary Care Library, University Library of Bern, University of Bern, Bern, Switzerland.
Oscar H FrancoInstitute of Social and Preventive Medicine (ISPM), University of Bern, Mittelstrasse 43, 3012, Bern, Switzerland.
Abbas DehghanDepartment of Epidemiology, Erasmus MC University Medical Center, Rotterdam, The Netherlands.
Raha PazokiDepartment of Life Sciences, College of Health and Life Sciences, Brunel University London, Uxbridge, UK.
Pedro Marques-VidalDepartment of Medicine, Internal Medicine, Lausanne University Hospital (CHUV) and University of Lausanne, Lausanne, Switzerland.
Taulant MukaInstitute of Social and Preventive Medicine (ISPM), University of Bern, Mittelstrasse 43, 3012, Bern, Switzerland.

Funding

Medical Research Council MR/S019669/1
6 · The paper itself

Abstract

backgroundBoth genetic background and diet are important determinants of cardiovascular diseases (CVD). Understanding gene-diet interactions could help improve CVD prevention and prognosis. We aimed to summarise the evidence on gene-diet interactions and CVD outcomes systematically.

methodsWe searched MEDLINE RESULTS AND DISCUSSION: We included 59 articles based on data from 29 studies; six articles involved multiple studies, and seven did not report details of their source population. The median sample size of the articles was 2562 participants. Of the 59 articles, 21 (35.6%) were qualified as high quality, while the rest were intermediate or poor. Eleven (18.6%) articles adjusted for multiple comparisons, four (7.0%) attempted to replicate the findings, 18 (30.5%) were based on Han-Chinese ethnicity, and 29 (49.2%) did not present Minor Allele Frequency. Fifty different dietary exposures and 52 different genetic factors were investigated, with alcohol intake and ADH1C variants being the most examined. Of 266 investigated diet-gene interaction tests, 50 (18.8%) were statistically significant, including CETP-TaqIB and ADH1C variants, which interacted with alcohol intake on CHD risk. However, interactions effects were significant only in some articles and did not agree on the direction of effects. Moreover, most of the studies that reported significant interactions lacked replication. Overall, the evidence on gene-diet interactions on CVD is limited, and lack correction for multiple testing, replication and sample size consideration.

Indexed as

Cardiovascular DiseasesMyocardial InfarctionCross-Sectional StudiesDietHumansProspective StudiesCardiovascular diseasesCoronary heart diseaseDietGene-diet interactionMyocardial infarctionStroke

Identifiers

PMID35987633
PMCPMC9392936

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.