Is the Gene-Environment Interaction Paradigm Relevant to Genome-Wide Studies? The Case of Education and Body Mass Index

Author:

Boardman Jason D.12,Domingue Benjamin W.1,Blalock Casey L.12,Haberstick Brett C.3,Harris Kathleen Mullan4,McQueen Matthew B.35

Affiliation:

1. Institute of Behavioral Science, University of Colorado, 1440 15th Street, Boulder, CO 80309-0483, USA

2. Department of Sociology, University of Colorado, 1440 15th Street, Boulder, CO 80309-0483, USA

3. Institute for Behavioral Genetics, University of Colorado, 1480 30th Street, Boulder, CO 80303, USA

4. Carolina Population Center and Department of Sociology, University of North Carolina, 123 W Franklin Street, Chapel Hill, NC 27516, USA

5. Department of Integrative Physiology, University of Colorado, 1480 30th Street, Boulder, CO 80303, USA

Abstract

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.

Publisher

Duke University Press

Subject

Demography

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