Please use this identifier to cite or link to this item: https://doi.org/10.1002/sim.4391
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dc.titleEstimating the number of true discoveries in genome-wide association studies
dc.contributor.authorLee, W.
dc.contributor.authorGusnanto, A.
dc.contributor.authorSalim, A.
dc.contributor.authorMagnusson, P.
dc.contributor.authorSim, X.
dc.contributor.authorTai, E.S.
dc.contributor.authorPawitan, Y.
dc.date.accessioned2014-11-26T05:02:55Z
dc.date.available2014-11-26T05:02:55Z
dc.date.issued2012-05
dc.identifier.citationLee, W., Gusnanto, A., Salim, A., Magnusson, P., Sim, X., Tai, E.S., Pawitan, Y. (2012-05). Estimating the number of true discoveries in genome-wide association studies. Statistics in Medicine 31 (11-12) : 1177-1189. ScholarBank@NUS Repository. https://doi.org/10.1002/sim.4391
dc.identifier.issn02776715
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/108918
dc.description.abstractRecent genome-wide association studies have reported the discoveries of genetic variants of small to moderate effects. However, most studies of complex diseases face a great challenge because the number of significant variants is less than what is required to explain the disease heritability. A new approach is needed to recognize all potential discoveries in the data. In this paper, we present a practical model-free procedure to estimate the number of true discoveries as a function of the number of top-ranking SNPs together with the confidence bounds. This approach allows a practical methodology of general utility and produces relevant statistical quantities with simple interpretation. © 2011 John Wiley & Sons, Ltd.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1002/sim.4391
dc.sourceScopus
dc.subjectComplex diseases
dc.subjectFalse discovery rate
dc.subjectHigh-throughput data
dc.subjectStatistical genetics
dc.typeArticle
dc.contributor.departmentLIFE SCIENCES INSTITUTE
dc.contributor.departmentSAW SWEE HOCK SCHOOL OF PUBLIC HEALTH
dc.description.doi10.1002/sim.4391
dc.description.sourcetitleStatistics in Medicine
dc.description.volume31
dc.description.issue11-12
dc.description.page1177-1189
dc.description.codenSMEDD
dc.identifier.isiut000304088900016
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