Novel directions for G × E analysis in psychiatry

Vinkhuyzen, A. A. E. and Wray, N. R. (2014) Novel directions for G × E analysis in psychiatry. Epidemiology and Psychiatric Sciences, 24 1: 12-19. doi:10.1017/S2045796014000584

Author Vinkhuyzen, A. A. E.
Wray, N. R.
Title Novel directions for G × E analysis in psychiatry
Journal name Epidemiology and Psychiatric Sciences   Check publisher's open access policy
ISSN 2045-7960
Publication date 2014-10-08
Year available 2014
Sub-type Critical review of research, literature review, critical commentary
DOI 10.1017/S2045796014000584
Open Access Status DOI
Volume 24
Issue 1
Start page 12
End page 19
Total pages 8
Place of publication Rome, Italy
Publisher Cambridge University Press
Language eng
Formatted abstract
G × E in psychiatry may explain why environmental risk factors have big impact in some individuals but not in others, and conversely why relatives that are genetically at risk for disease do not all develop disease. Here we discuss two novel methods that use an aggregate genome-wide measure of genetic risk to detect G × E and estimate its effect in the population using data currently available and data we anticipate will be available in the near future. The first method exploits summary statistics from large-scale genome-wide association studies ignorant of the environmental conditions and detects G × E in an out-of-sample risk-profiling framework. The second method relies on larger samples and is based on a mixed linear model framework. It estimates variance explained directly from single nucleotide polymorphisms and environmental measures. Both methods have great potential to improve public health interventions focusing on risk-based screening that is informed by both genetic and environmental risk factors.
Keyword Gene Environment Interactions
Psychiatric genetics
Q-Index Code C1
Q-Index Status Confirmed Code
Grant ID 1056929
Institutional Status UQ

Document type: Journal Article
Sub-type: Critical review of research, literature review, critical commentary
Collections: Queensland Brain Institute Publications
Official 2015 Collection
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Citation counts: TR Web of Science Citation Count  Cited 4 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 2 times in Scopus Article | Citations
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