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dc.contributor.authorHuang, Guan-Huaen_US
dc.contributor.authorHsieh, Chin-Chiangen_US
dc.contributor.authorChen, Chen-Hsinen_US
dc.contributor.authorChen, Wei J.en_US
dc.date.accessioned2014-12-08T15:08:48Z-
dc.date.available2014-12-08T15:08:48Z-
dc.date.issued2009-09-01en_US
dc.identifier.issn0741-0395en_US
dc.identifier.urihttp://dx.doi.org/10.1002/gepi.20407en_US
dc.identifier.urihttp://hdl.handle.net/11536/6725-
dc.description.abstractEndophenotypes, which involve the same biological pathways as diseases but presumably are closer to the relevant gene actions than diagnostic phenotypes, have emerged as an important concept in the genetic studies of complex diseases. In this report, we develop a formal statistical methodology for validating endophenotypes. The proposed method was motivated by the conditioning strategy used for surrogate endpoints commonly seen in clinical research. We define an endophenotype to be "a trait for which a test of null hypothesis of no genetic heritability implies the corresponding null hypothesis based on the phenotype of interest". Ail index, the proportion of heritability explained, is used as all operational criterion of validation. Statistical inferences oil this index are also developed. Usefulness of the proposed method is demonstrated through computer simulations and a study of assessing the Continuous Performance Test as an endophenotype of the schizophrenia spectrum. Genet. Epidemiol. 33:549-558, 2009. (C) 2009 Wiley-Liss, Inc.en_US
dc.language.isoen_USen_US
dc.subjectContinuous Performance Testen_US
dc.subjectheritabilityen_US
dc.subjectliability threshold modelen_US
dc.subjectschizophrenia-related personality disorderen_US
dc.subjectvariance component analysisen_US
dc.titleStatistical Validation of Endophenotypes Using a Surrogate Endpoint Analytic Analogueen_US
dc.typeArticleen_US
dc.identifier.doi10.1002/gepi.20407en_US
dc.identifier.journalGENETIC EPIDEMIOLOGYen_US
dc.citation.volume33en_US
dc.citation.issue6en_US
dc.citation.spage549en_US
dc.citation.epage558en_US
dc.contributor.department統計學研究所zh_TW
dc.contributor.departmentInstitute of Statisticsen_US
dc.identifier.wosnumberWOS:000269432400009-
dc.citation.woscount7-
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