Re: "Genetic Association and Gene-Environment Interaction: A New Method for Overcoming the Lack of Exposure Information in Controls"
Year: 2011
Type: letter
Abstract: We read with interest the recent paper by Kazma et al. (1), in which the authors propose a multinomial analysis to jointly test for genetic (G) and gene-environment interaction (G 3 E) effects using a reference control group for whom one has genotypes but no other data.The proposed logistic regression test makes clever use of a method developed for phenotypic subcategories, by treating exposed and unexposed cases as if they had separate phenotypes.The authors show that the resulting joint hypothesis test is powerful, sometimes even more powerful than a full case-control analysis.We wish to offer some clarifications and cautions related to that proposed analysis.
Source: American Journal of Epidemiology
DOI: 10.1093/aje/kwr105
Authors: C. R. Weinberg, M. Shi, D. M. Umbach
Institution: National Institute of Environmental Health Sciences
Language: English
Subfield: Genetics
Domain: Life Sciences
Open Access status: green
OpenAlex ID: W2096028409