Evidence map›Paper›PMID 32308100›Full record

ArticleJournal of the American Heart Association2020

Whole-Genome Approach Discovers Novel Genetic and Nongenetic Variance Components Modulated by Lifestyle for Cardiovascular Health.

Xuan Zhou, Julius van der Werf, Kristin Carson-Chahhoud, Guiyan Ni, John McGrath, Elina Hyppönen, S Hong Lee

Abstract read
In one paragraph

Article in Journal of the American Heart Association, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. 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

7 authors.

Xuan ZhouAustralian Centre for Precision Health University of South Australia Adelaide South Australia Australia.
Julius van der WerfSchool of Environmental and Rural Science University of New England Armidale New South Wales Australia.
Kristin Carson-ChahhoudAustralian Centre for Precision Health University of South Australia Adelaide South Australia Australia.
Guiyan NiSchool of Environmental and Rural Science University of New England Armidale New South Wales Australia.
John McGrathQueensland Brain Institute University of Queensland Brisbane Queensland Australia.
Elina HyppönenAustralian Centre for Precision Health University of South Australia Adelaide South Australia Australia.
S Hong LeeAustralian Centre for Precision Health University of South Australia Adelaide South Australia Australia.

Funding

Department of HealthMedical Research Council MC_PC_17228Medical Research Council MC_QA137853NHLBI NIH HHS HHSN268201700001INHLBI NIH HHS HHSN268201700002INHLBI NIH HHS HHSN268201700003INHLBI NIH HHS HHSN268201700004INHLBI NIH HHS HHSN268201700005IWellcome Trust
6 · The paper itself

Abstract

Background Both genetic and nongenetic factors can predispose individuals to cardiovascular risk. Finding ways to alter these predispositions is important for cardiovascular disease prevention. Methods and Results We used a novel whole-genome approach to estimate the genetic and nongenetic effects on-and hence their predispositions to-cardiovascular risk and determined whether they vary with respect to lifestyle factors such as physical activity, smoking, alcohol consumption, and dietary intake. We performed analyses on the ARIC (Atherosclerosis Risk in Communities) Study (N=6896-7180) and validated findings using the UKBB (UK Biobank, N=14 076-34 538). Lifestyle modulation was evident for many cardiovascular traits such as body mass index and resting heart rate. For example, alcohol consumption modulated both genetic and nongenetic effects on body mass index, whereas smoking modulated nongenetic effects on heart rate, pulse pressure, and white blood cell count. We also stratified individuals according to estimated genetic and nongenetic effects that are modulated by lifestyle factors and showed distinct phenotype-lifestyle relationships across the stratified groups. Finally, we showed that neglecting lifestyle modulations of cardiovascular traits would on average reduce single nucleotide polymorphism heritability estimates of these traits by a small yet significant amount, primarily owing to the overestimation of residual variance. Conclusions Lifestyle changes are relevant to cardiovascular disease prevention. Individual differences in the genetic and nongenetic effects that are modulated by lifestyle factors, as shown by the stratified group analyses, implies a need for personalized lifestyle interventions. In addition, single nucleotide polymorphism-based heritability of cardiovascular traits without accounting for lifestyle modulations could be underestimated.

Indexed as

Gene-Environment InteractionHealthy LifestyleRisk Reduction BehaviorAdultAgedCardiovascular DiseasesFemaleGenetic Predisposition to DiseaseGenome-Wide Association StudyHeart Disease Risk FactorsHeredityHumansMaleMiddle AgedProtective FactorsRisk Assessmentcardiovascular traitsgenotype–lifestyle interactionlifestyleresidual–lifestyle interactionwhole‐genome approach

Identifiers

PMID32308100
PMCPMC7428517

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.