Evidence map›Paper›PMID 27380344›Full record

Observational studyJAMA2016

Association of a Genetic Risk Score With Body Mass Index Across Different Birth Cohorts.

Stefan Walter, Iván Mejía-Guevara, Karol Estrada, Sze Y Liu, M Maria Glymour

Abstract readObservational Study
PubMed Publisher
In one paragraph

Observational study in JAMA, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 74 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
74citing 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

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

  1. Pooled it
  2. Trial
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  9. Article
  10. Advantages and Limitations of the Body Mass Index (BMI) to Assess Adult Obesity.International journal of environmental research and public health · 2024
    Review
  11. Exploring the Fetal Origins Hypothesis Using Genetic Data.Social forces; a scientific medium of social study and interpretation · 2024
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
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14 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Stefan WalterDepartment of Epidemiology and Biostatistics, University of California, San Francisco.
Iván Mejía-GuevaraHarvard Center for Population and Development Studies, Harvard University, Cambridge, Massachusetts.
Karol EstradaProgram in Medical and Population Genetics, Broad Institute, Cambridge, Massachusetts.
Sze Y LiuHarvard Center for Population and Development Studies, Harvard University, Cambridge, Massachusetts.
M Maria GlymourDepartment of Epidemiology and Biostatistics, University of California, San Francisco.

Funding

HRS Yrs29-34: Y33 SSA CoFundingU01AG009740 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Jessica Faul, KENNETH M LANGA · 1990 to 2026
$555.8M
Creating a National Resource for Genetic Research in Behavioral & Health SciencesRC2AG036495 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI WEIR, DAVID R. · 2009 to 2010
$7.4M
Expanding a National Resource for Genetic Research in Behavioral & Health ScienceRC4AG039029 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI WEIR, DAVID R. · 2010 to 2010
$6.0M
NIA NIH HHS RC2AG036495NIA NIH HHS RC4AG039029NIA NIH HHS U01AG009740
6 · The paper itself

Abstract

importanceMany genetic variants are associated with body mass index (BMI). Associations may have changed with the 20th century obesity epidemic and may differ for black vs white individuals.

objectiveUsing birth cohort as an indicator for exposure to obesogenic environment, to evaluate whether genetic predisposition to higher BMI has a larger magnitude of association among adults from more recent birth cohorts, who were exposed to the obesity epidemic at younger ages. DESIGN, SETTING, AND

participantsObservational study of 8788 adults in the US national Health and Retirement Study who were aged 50 years and older, born between 1900 and 1958, with as many as 12 BMI assessments from 1992 to 2014. EXPOSURES: A multilocus genetic risk score for BMI (GRS-BMI), calculated as the weighted sum of alleles of 29 single nucleotide polymorphisms associated with BMI, with weights equal to the published per-allele effects. The GRS-BMI represents how much each person's BMI is expected to differ, based on genetic background (with respect to these 29 loci), from the BMI of a sample member with median genetic risk. The median-centered GRS-BMI ranged from -1.68 to 2.01. MAIN OUTCOMES AND MEASURES: BMI based on self-reported height and weight.

resultsGRS-BMI was significantly associated with BMI among white participants (n = 7482; mean age at first assessment, 59 years; 3373 [45%] were men; P <.001) and among black participants (n = 1306; mean age at first assessment, 57 years; 505 [39%] were men; P <.001) but accounted for 0.99% of variation in BMI among white participants and 1.37% among black participants. In multilevel models accounting for age, the magnitude of associations of GRS-BMI with BMI were larger for more recent birth cohorts. For example, among white participants, each unit higher GRS-BMI was associated with a difference in BMI of 1.37 (95% CI, 0.93 to 1.80) if born after 1943, and 0.17 (95% CI, -0.55 to 0.89) if born before 1924 (P = .006). For black participants, each unit higher GRS-BMI was associated with a difference in BMI of 3.70 (95% CI, 2.42 to 4.97) if born after 1943, and 1.44 (95% CI, -1.40 to 4.29) if born before 1924. CONCLUSIONS AND RELEVANCE: For participants born between 1900 and 1958, the magnitude of association between BMI and a genetic risk score for BMI was larger among persons born in later cohorts. This suggests that associations of known genetic variants with BMI may be modified by obesogenic environments.

Indexed as

AllelesBody Mass IndexGenetic VariationPolymorphism, Single NucleotideAgedAged, 80 and overAge FactorsBlack or African AmericanBlack PeopleCohort StudiesFemaleGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansMaleMiddle Aged

Identifiers

PMID27380344

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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.