Demography · 2013 · 67 citations · 49 references
Life SciencesGeneticsEpidemiologyGenomicsHuman GeneticsGene-environment InteractionGenome-wide Association StudiesGenotype-by-environment InteractionGene-environment Interaction ModelingGenome-wide Interaction Studies
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.
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GCTA: A Tool for Genome-wide Complex Trait Analysis
Jian Yang, Sang Lee, Michael E. Goddard et al. · The American Journal of Human Genetics · 2010 · 9.3K citations · Full text
Influence of Life Stress on Depression: Moderation by a Polymorphism in the 5-HTT Gene
Avshalom Caspi, Karen Sugden, Terrie E. Moffitt et al. · Science · 2003 · 8.1K citations