Quantifying and correcting for the winner's curse in genetic association studies
dc.contributor.author | Xiao, Rui | en_US |
dc.contributor.author | Boehnke, Michael | en_US |
dc.date.accessioned | 2009-08-12T15:36:06Z | |
dc.date.available | 2010-09-01T19:24:05Z | en_US |
dc.date.issued | 2009-07 | en_US |
dc.identifier.citation | Xiao, Rui; Boehnke, Michael (2009). "Quantifying and correcting for the winner's curse in genetic association studies." Genetic Epidemiology 33(5): 453-462. <http://hdl.handle.net/2027.42/63555> | en_US |
dc.identifier.issn | 0741-0395 | en_US |
dc.identifier.issn | 1098-2272 | en_US |
dc.identifier.uri | https://hdl.handle.net/2027.42/63555 | |
dc.description.abstract | Genetic association studies are a powerful tool to detect genetic variants that predispose to human disease. Once an associated variant is identified, investigators are also interested in estimating the effect of the identified variant on disease risk. Estimates of the genetic effect based on new association findings tend to be upwardly biased due to a phenomenon known as the “winner's curse.” Overestimation of genetic effect size in initial studies may cause follow-up studies to be underpowered and so to fail. In this paper, we quantify the impact of the winner's curse on the allele frequency difference and odds ratio estimators for one- and two-stage case-control association studies. We then propose an ascertainment-corrected maximum likelihood method to reduce the bias of these estimators. We show that overestimation of the genetic effect by the uncorrected estimator decreases as the power of the association study increases and that the ascertainment-corrected method reduces absolute bias and mean square error unless power to detect association is high. Genet. Epidemiol . 33:453–462, 2009. © 2009 Wiley-Liss, Inc. | en_US |
dc.format.extent | 352905 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 | Quantifying and correcting for the winner's curse in genetic association studies | 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 and Center for Statistical Genetics, University of Michigan, Michigan | en_US |
dc.contributor.affiliationum | Department of Biostatistics and Center for Statistical Genetics, University of Michigan, Michigan ; Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor, Michigan, 48109-2029 | en_US |
dc.identifier.pmid | 19140131 | en_US |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/63555/1/20398_ftp.pdf | |
dc.identifier.doi | 10.1002/gepi.20398 | 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.