Tests for gene-environment interaction from case-control data: a novel study of type I error, power and designs This article is a US government work, and, as such, is in the public domain in the United States of America.
dc.contributor.author | Mukherjee, Bhramar | en_US |
dc.contributor.author | Ahn, Jaeil | en_US |
dc.contributor.author | Gruber, Stephen B. | en_US |
dc.contributor.author | Rennert, Gad | en_US |
dc.contributor.author | Moreno, Victor | en_US |
dc.contributor.author | Chatterjee, Nilanjan | en_US |
dc.date.accessioned | 2008-11-03T18:53:12Z | |
dc.date.available | 2010-01-05T16:59:14Z | en_US |
dc.date.issued | 2008-11 | en_US |
dc.identifier.citation | Mukherjee, Bhramar; Ahn, Jaeil; Gruber, Stephen B.; Rennert, Gad; Moreno, Victor; Chatterjee, Nilanjan (2008). "Tests for gene-environment interaction from case-control data: a novel study of type I error, power and designs This article is a US government work, and, as such, is in the public domain in the United States of America. ." Genetic Epidemiology 32(7): 615-626. <http://hdl.handle.net/2027.42/61219> | en_US |
dc.identifier.issn | 0741-0395 | en_US |
dc.identifier.issn | 1098-2272 | en_US |
dc.identifier.uri | https://hdl.handle.net/2027.42/61219 | |
dc.identifier.uri | http://www.ncbi.nlm.nih.gov/sites/entrez?cmd=retrieve&db=pubmed&list_uids=18473390&dopt=citation | en_US |
dc.description.abstract | To evaluate the risk of a disease associated with the joint effects of genetic susceptibility and environmental exposures, epidemiologic researchers often test for non-multiplicative gene-environment effects from case-control studies. In this article, we present a comparative study of four alternative tests for interactions: (i) the standard case-control method; (ii) the case-only method, which requires an assumption of gene-environment independence for the underlying population; (iii) a two-step method that decides between the case-only and case-control estimators depending on a statistical test for the gene-environment independence assumption and (iv) a novel empirical-Bayes (EB) method that combines the case-control and case-only estimators depending on the sample size and strength of the gene-environment association in the data. We evaluate the methods in terms of integrated Type I error and power, averaged with respect to varying scenarios for gene-environment association that are likely to appear in practice. These unique studies suggest that the novel EB procedure overall is a promising approach for detection of gene-environment interactions from case-control studies. In particular, the EB procedure, unlike the case-only or two-step methods, can closely maintain a desired Type I error under realistic scenarios of gene-environment dependence and yet can be substantially more powerful than the traditional case-control analysis when the gene-environment independence assumption is satisfied, exactly or approximately. Our studies also reveal potential utility of some non-traditional case-control designs that samples controls at a smaller rate than the cases. Apart from the simulation studies, we also illustrate the different methods by analyzing interactions of two commonly studied genes, N -acetyl transferase type 2 and glutathione s -transferase M1, with smoking and dietary exposures, in a large case-control study of colorectal cancer. Genet. Epidemiol . 2008. Published 2008 Wiley-Liss, Inc. | en_US |
dc.format.extent | 181034 bytes | |
dc.format.extent | 3118 bytes | |
dc.format.mimetype | application/pdf | |
dc.format.mimetype | text/plain | |
dc.publisher | Wiley Subscription Services, Inc., A Wiley Company | en_US |
dc.subject.other | Life and Medical Sciences | en_US |
dc.subject.other | Genetics | en_US |
dc.title | Tests for gene-environment interaction from case-control data: a novel study of type I error, power and designs This article is a US government work, and, as such, is in the public domain in the United States of America. | en_US |
dc.type | Article | en_US |
dc.rights.robots | IndexNoFollow | en_US |
dc.subject.hlbsecondlevel | Biological Chemistry | en_US |
dc.subject.hlbsecondlevel | Genetics | en_US |
dc.subject.hlbsecondlevel | Molecular, Cellular and Developmental Biology | en_US |
dc.subject.hlbtoplevel | Health Sciences | en_US |
dc.subject.hlbtoplevel | Science | en_US |
dc.description.peerreviewed | Peer Reviewed | en_US |
dc.contributor.affiliationum | Department of Biostatistics, University of Michigan, Ann Arbor, Michigan | en_US |
dc.contributor.affiliationum | Department of Biostatistics, University of Michigan, Ann Arbor, Michigan | en_US |
dc.contributor.affiliationum | Department of Internal Medicine, Epidemiology and Human Genetics, University of Michigan, Ann Arbor, Michigan | en_US |
dc.contributor.affiliationother | Department of Community Medicine and Epidemiology, Carmel Medical Center and Technion Faculty of Medicine, CHS National Israeli Cancer Control Center, Haifa, Israel | en_US |
dc.contributor.affiliationother | IDIBELL, Catalan Institute of Oncology, L'Hospitalet, Barcelona, Spain | en_US |
dc.contributor.affiliationother | Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Rockville, Maryland ; Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Rockville, Maryland | en_US |
dc.identifier.pmid | 18473390 | en_US |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/61219/1/20337_ftp.pdf | |
dc.identifier.doi | http://dx.doi.org/10.1002/gepi.20337 | en_US |
dc.identifier.source | Genetic Epidemiology | en_US |
dc.owningcollname | Interdisciplinary and Peer-Reviewed |
Files in this item
Remediation of Harmful Language
The University of Michigan Library aims to describe library materials in a way that respects the people and communities who create, use, and are represented in our collections. Report harmful or offensive language in catalog records, finding aids, or elsewhere in our collections anonymously through our metadata feedback form. More information at Remediation of Harmful Language.
Accessibility
If you are unable to use this file in its current format, please select the Contact Us link and we can modify it to make it more accessible to you.