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- W2230201437 endingPage "37" @default.
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- W2230201437 abstract "For more than a decade, biometric moderation models have been used to examine whether genetic and environmental influences on individual differences might vary within the population. These quantitative Gene × Environment interaction models have the potential to elucidate not only when genetic and environmental influences on a phenotype might differ, but also why, as they provide an empirical test of several theoretical paradigms that serve as useful heuristics to explain etiology-diathesis-stress, bioecological, differential susceptibility, and social control. In the current article, we review how these developmental theories align with different patterns of findings from statistical models of gene-environment interplay. We then describe the extant empirical evidence, using work by our own research group and others, to lay out genetically informative plausible accounts of how phenotypes related to social inequality-physical health and cognition-might relate to these theoretical models." @default.
- W2230201437 created "2016-06-24" @default.
- W2230201437 creator A5012362271 @default.
- W2230201437 creator A5012484596 @default.
- W2230201437 creator A5084244790 @default.
- W2230201437 date "2015-11-21" @default.
- W2230201437 modified "2023-10-17" @default.
- W2230201437 title "Biometric Modeling of Gene-Environment Interplay: The Intersection of Theory and Method and Applications for Social Inequality" @default.
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- W2230201437 doi "https://doi.org/10.1111/jopy.12231" @default.
- W2230201437 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/4818206" @default.
- W2230201437 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/26426103" @default.
- W2230201437 hasPublicationYear "2015" @default.
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