Evidence map›Paper›PMID 24281739›Full record

ArticleDemography2014

Is the gene-environment interaction paradigm relevant to genome-wide studies? The case of education and body mass index.

Jason D Boardman, Benjamin W Domingue, Casey L Blalock, Brett C Haberstick, Kathleen Mullan Harris, Matthew B McQueen

Abstract read
In one paragraph

Article in Demography, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
42citing 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

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

  1. Pooled it
  2. Trial
  3. Trial
  4. Article
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  8. Exploring the Fetal Origins Hypothesis Using Genetic Data.Social forces; a scientific medium of social study and interpretation · 2024
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  9. Article
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  11. Observational
  12. Education and Cardiovascular Health as Effect Modifiers of APOE ε4 on Dementia: The Atherosclerosis Risk in Communities Study.The journals of gerontology. Series A, Biological sciences and medical sciences · 2022
    Article
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  14. Article
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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

6 authors.

Jason D BoardmanInstitute of Behavioral Science, University of Colorado, 1440 15th Street, Boulder, CO, 80309-0483, USA, boardman@colorado.edu.
Benjamin W Domingue
Casey L Blalock
Brett C Haberstick
Kathleen Mullan Harris
Matthew B McQueen

Funding

Carolina Population CenterR24HD050924 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI MORGAN, SAMUEL PHILIP · 2005 to 2014
$10.0M
University of Colorado Population CenterP2CHD066613 · NICHD · UNIVERSITY OF COLORADO · PI JANE A MENKEN · 2015 to 2026
$3.7M
Add Health: A Genotype and Phenotype Resource for the Global Scientific CommunityR01HD073342 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI HARRIS, KATHLEEN MULLAN · 2012 to 2016
$3.6M
Social Demographic Moderation of Genome Wide Associations for Body Mass IndexR01HD060726 · NICHD · UNIVERSITY OF COLORADO · PI BOARDMAN, JASON D, MCQUEEN, MATTHEW B · 2010 to 2014
$2.7M
The University of Colorado Population CenterR24HD066613 · NICHD · UNIVERSITY OF COLORADO · PI PAMPEL, FRED C · 2010 to 2014
$1.9M
THE FRAMINGHAM HEART STUDY-N01HC25195-268025195-268025195N01HC025195 · HC · TRUSTEES OF BOSTON UNIVERSITY · PI WOLF, PHILIP A · 2002 to 2006
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NHLBI NIH HHS N01 HC025195NHLBI NIH HHS N01-HC-25195NICHD NIH HHS P2C HD066613NICHD NIH HHS R01 HD060726NICHD NIH HHS R01HD060726NICHD NIH HHS R01 HD073342NICHD NIH HHS R24 HD050924NICHD NIH HHS R24 HD066613NICHD NIH HHS R24HD066613
6 · The paper itself

Abstract

This study uses data from the Framingham Heart Study to examine the relevance of the gene-environment interaction paradigm for genome-wide association studies (GWAS). We use completed college education as our environmental measure and estimate the interactive effect of genotype and education on body mass index (BMI) using 260,402 single-nucleotide polymorphisms (SNPs). Our results highlight the sensitivity of parameter estimates obtained from GWAS models and the difficulty of framing genome-wide results using the existing gene-environment interaction typology. We argue that SNP-environment interactions across the human genome are not likely to provide consistent evidence regarding genetic influences on health that differ by environment. Nevertheless, genome-wide data contain rich information about individual respondents, and we demonstrate the utility of this type of data. We highlight the fact that GWAS is just one use of genome-wide data, and we encourage demographers to develop methods that incorporate this vast amount of information from respondents into their analyses.

Indexed as

Body Mass IndexGene-Environment InteractionAdultEducational StatusFemaleGenome-Wide Association StudyHumansMaleMiddle AgedPolymorphism, Single NucleotideUnited States

Identifiers

PMID24281739
PMCPMC4035460

What OpenQuestion holds

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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.