Language:

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

Demography, 2014-02-01, Vol.51 (1), p.119-139 [Peer Reviewed Journal]

Full text available

Citations Cited by

Actions
1. Add to e-Shelf
2. Remove from e-Shelf
3. E-mail
4. Print
5. Permalink
6. Citation
7. EasyBib
8. EndNote
9. RefWorks
10. Delicious
11. Export RIS
12. Export BibTeX

Title:
Is the Gene-Environment Interaction Paradigm Relevant to Genome-Wide Studies? The Case of Education and Body Mass Index
Author: Jason D. Boardman ; Benjamin W. Domingue ; Casey L. Blalock ; Brett C. Haberstick ; Kathleen Mullan Harris ; Matthew B. McQueen
Subjects: GENETICS AND SOCIAL CONTEXT ; Body mass index ; Obesity ; Phenotypes ; Demography ; Medical genetics ; P values ; Heritability ; Behavioral genetics ; Human genetics ; Bachelors degrees ; Gene-environment interactions ; Population Economics ; GWAS ; Geography (general) ; Social Sciences, general ; Framingham Heart Study ; Genome-wide ; Sociology, general ; Medicine/Public Health, general ; BMI ; Body Mass Index ; United States - epidemiology ; Humans ; Middle Aged ; Adult ; Female ; Male ; Educational Status ; Polymorphism, Single Nucleotide ; Genome-Wide Association Study - methods ; Gene-Environment Interaction ; Index Medicus
Is Part Of: Demography, 2014-02-01, Vol.51 (1), p.119-139
Description: 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 genomewide 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: Boston: Springer
Language: English
Identifier: ISSN: 0070-3370
EISSN: 1533-7790
DOI: 10.1007/s13524-013-0259-4
PMID: 24281739

Back to results list

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

Searching Remote Databases, Please Wait