2013
DOI: 10.1038/tp.2013.63
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Interaction between polygenic risk for cigarette use and environmental exposures in the Detroit neighborhood health study

Abstract: Cigarette smoking is influenced both by genetic and environmental factors. Until this year, all large-scale gene identification studies on smoking were conducted in populations of European ancestry. Consequently, the genetic architecture of smoking is not well described in other populations. Further, despite a rich epidemiologic literature focused on the social determinants of smoking, few studies have examined the moderation of genetic influences (for example, gene–environment interactions) on smoking in Afri… Show more

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Cited by 60 publications
(61 citation statements)
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“…Similarly, in the GAP European subsample, cases had on average higher adjusted PRS than controls, with standardized mean difference of 0.54, following correction for population stratification, and the association significantly held for both schizophrenia (R 2 = 16.3%, p = 3.7 Ã 10 −7 ) and other psychoses groups (R 2 = 2.7%, p = 0.03) [24]. This is in line with previous studies [23] demonstrating that cumulative genetic risk predicted case-control status for psychosis across independent samples at a high significance level. The predictive power of the PRS, based on the much larger PGC dataset, allowed these questions to be investigated in a smaller dataset than would be required for candidate gene by environment analysis [37].…”
Section: Discussionsupporting
confidence: 89%
“…Similarly, in the GAP European subsample, cases had on average higher adjusted PRS than controls, with standardized mean difference of 0.54, following correction for population stratification, and the association significantly held for both schizophrenia (R 2 = 16.3%, p = 3.7 Ã 10 −7 ) and other psychoses groups (R 2 = 2.7%, p = 0.03) [24]. This is in line with previous studies [23] demonstrating that cumulative genetic risk predicted case-control status for psychosis across independent samples at a high significance level. The predictive power of the PRS, based on the much larger PGC dataset, allowed these questions to be investigated in a smaller dataset than would be required for candidate gene by environment analysis [37].…”
Section: Discussionsupporting
confidence: 89%
“…Many genomic variants together contribute to overall risk (termed polygenic risk) for a number of complex traits [Peterson et al, 2011; Hamshere et al, 2013; Meyers et al, 2013], and this genetic architecture is evident in a number of psychiatric conditions—including BP [Purcell et al, 2009; Lee et al, 2012, 2013; Smoller et al, 2013; Bramon et al, 2014]. While the elucidation of the genetic causes for BP has been challenging, the field is progressing in understanding the genetic architecture of this complex disorder (reviewed in [Craddock and Sklar, 2013]) and in identifying specific genes which increase risk [Sklar et al, 2011].…”
Section: Discussionmentioning
confidence: 99%
“…In a majority African American sample from Detroit (n=399), the association between the genetic risk score and smoking was greater for those who had experienced a higher number of lifetime traumatic events and was diminished among individuals living in neighborhoods characterized by higher levels of social cohesion [12].…”
Section: Moderators Of Polygenic Risk Effectsmentioning
confidence: 98%
“…For example, Meyers et al [12] constructed a polygenic risk score comprising 6 variants that were significantly associated (at p<5×10…”
Section: Moderators Of Polygenic Risk Effectsmentioning
confidence: 99%
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