Evidence map›Paper›PMID 29046975›Full record

ReviewCurrent cardiology reports2017

The Genetics of Physical Activity.

Xiaochen Lin, Charles B Eaton, JoAnn E Manson, Simin Liu

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current cardiology reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
3.1field-weighted citation impact, top 8% 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

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 34 citations in OpenAlex.

  1. Genetic variants related to physical activity or sedentary behaviour: a systematic review.The international journal of behavioral nutrition and physical activity · 2021
    Pooled it
  2. Article
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  4. Article
  5. Sibling Resemblance in Physical Activity Levels: The Peruvian Sibling Study on Growth and Health.International journal of environmental research and public health · 2023
    Article
  6. Article
  7. Article
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  9. Article
  10. Article
  11. Article
  12. Article
  13. Genetic Determinants for Leisure-Time Physical Activity.Medicine and science in sports and exercise · 2018
    Article
  14. 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

4 authors at 2 institutions in 1 country.

Xiaochen LinDepartment of Epidemiology, Brown University, Providence, RI, USA.
Charles B EatonDepartment of Epidemiology, Brown University, Providence, RI, USA.
JoAnn E MansonDivision of Preventive Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
Simin LiuDepartment of Epidemiology, Brown University, Providence, RI, USA. Simin_liu@brown.edu.
Brown University · USHarvard University · US

Funding

SNRK(sucrose non-fermenting related kinase)and adipose energy homeostasisR01DK103699 · NIDDK · BROWN UNIVERSITY · PI XU, HAIYAN · 2015 to 2018
$1.6M
NIDDK NIH HHS R01 DK103699
6 · The paper itself

Abstract

purpose of reviewPhysical activity (PA) is a well-established modifiable lifestyle determinant for multiple cardio-metabolic outcomes. While many psychosocial and environmental correlates of PA have been identified, current understanding of the genetic architecture that contributes to PA is still very limited, especially when compared to other phenotypes such as obesity and diabetes. RECENT

findingsThis review systematically and comprehensively assesses available evidence from animal experiments, family studies, population-based candidate gene analyses, and genome-wide association studies (GWAS) studying the genetics of physical activity patterns. It discusses the scientific evolution in the field of PA genetics, including the recognition of increased sample sizes, the shift from early family-based approaches to association-based design, and the rapidly advancement of enabling genotyping and sequencing technologies. In addition, this review points to the gaps in the current knowledge base, including the general lack of GWAS and whole-genome sequence analyses particularly understudied populations, and the need for large-scale collaborative effort in both observational and experimental settings. In this review, we also call for research utilizing systems biology strategies for PA genetic research and accounting for complex gene-environment interactions that may vary by race/ethnicity. The epidemic of physical inactivity has been a public health nemesis, encompassing a large burden of diseases and high societal costs. A better understanding of the genetic basis of PA can inform public health policies for the prevention, control, and treatment of many chronic diseases related to physical inactivity.

Indexed as

Gene-Environment InteractionSedentary BehaviorCardiovascular DiseasesChronic DiseaseDiabetes MellitusEthnicityExerciseGenome-Wide Association StudyGenotypeHumansLife StyleObesityPhenotypePublic HealthResearchSystems BiologyCardio-metabolic healthGene-environment interactionGeneticsLifestyle interventionPhysical activity

Identifiers

PMID29046975
OpenAlexW2767174372

What OpenQuestion holds

Textmetadata
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.