Evidence map›Paper›PMID 32941506›Full record

ArticlePloS one2020

Association of a genetic risk score with BMI along the life-cycle: Evidence from several US cohorts.

Anna Sanz-de-Galdeano, Anastasia Terskaya, Angie Upegui

Abstract read
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Article
  6. Associations ofGenes · 2021
    Article
  7. 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

3 authors.

Anna Sanz-de-GaldeanoFAE, University of Alicante, San Vicente del Raspeig, Alicante, Spain.ORCID 0000-0002-5153-6927
Anastasia TerskayaSchool of Economics and Business, University of Navarra, Pamplona, Spain.
Angie UpeguiFAE, University of Alicante, San Vicente del Raspeig, Alicante, Spain.

Funding

Wave IV Data CollectionP01HD031921 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI HARRIS, KATHLEEN MULLAN · 1994 to 2020
$86.1M
NICHD NIH HHS P01 HD031921
6 · The paper itself

Abstract

We use data from the National Longitudinal Study of Adolescent to Adult Health and from the Health and Retirement Study to explore how the effect of individuals' genetic predisposition to higher BMI -measured by BMI polygenic scores- changes over the life-cycle for several cohorts. We find that the effect of BMI polygenic scores on BMI increases significantly as teenagers transition into adulthood (using the Add Health cohort, born 1974-83). However, this is not the case for individuals aged 55+ who were born in earlier HRS cohorts (1931-53), whose life-cycle pattern of genetic influence on BMI is remarkably stable as they move into old-age.

Indexed as

AdolescentAdultAge FactorsBody Mass IndexCohort StudiesFemaleGenetic Predisposition to DiseaseHumansLongitudinal StudiesMaleMiddle AgedObesityRisk FactorsYoung Adult

Identifiers

PMID32941506
PMCPMC7497990

What OpenQuestion holds

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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.