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Conference Paper: Statistical issues and approaches in endophenotype research

TitleStatistical issues and approaches in endophenotype research
Authors
KeywordsAssociation
Endophenotypes
Genetics
Genomics
Linkage
Psychiatric disorders
Issue Date2011
PublisherScience China Press. The Journal's web site is located at http://www.springerlink.com/content/1001-6538/
Citation
The 2010 'Endophenotype Strategy for Psychotic Disorders and Summit Meeting of Key Laboratory of Mental Health, Institute of Psychology, CAS', Brijing, China, 11-13 October 2010. In Chinese Science Bulletin, 2011, v. 56 n. 32, p. 3403-3408 How to Cite?
AbstractThe endophenotype concept was initially proposed to enhance the power of genetic studies of complex disorders. It is closely related to the genetic component in a liability-threshold model; a perfect endophenotype should have a correlation of 1 with the genetic component of the liability to disease. In reality, a putative endophenotype is unlikely to be a perfect representation of the genetic component of disease liability. The magnitude of the correlation between a putative endophenotype and the genetic component of disease liability can be estimated by fitting multivariate genetic models to twin data. A number of statistical methods have been developed for incorporating endophenotypes in genetic linkage and association analyses with the aim of improving statistical power. The most recent of such methods can handle multiple endophenotypes simultaneously for the greatest increase in power. In addition to increasing statistical power, endophenotype research plays an important role in helping to understand the mechanisms which connect the associated genetic variants with disease occurrence. Novel statistical approaches may be required for the analysis of the complex relationships between endophenotypes at different levels and how they converge to cause the occurrence of disease. © 2011 Science China Press and Springer-Verlag Berlin Heidelberg.
DescriptionThis journal issue entitled: SPECIAL TOPIC Endophenotype Strategies for the Study of Neuropsychiatric Disorders
This special topic comprises 9 papers which were presented at the Symposium. (Chinese Science Bulletin, 2011, v. 56 n. 32 Editorial. doi: 10.1007/s11434-011-4716-4)
Persistent Identifierhttp://hdl.handle.net/10722/152818
ISSN
2015 Impact Factor: 1.789
ISI Accession Number ID
Funding AgencyGrant Number
Hong Kong Research Grants CouncilHKU 766906M
HKU 774707M
European Community (EU-GEI)HEALTH-F2-2010-241909
University of Hong Kong (HKU) Strategic Research Theme of Genomics
HKU201007176248
National Institute of Mental Health of the USA1K01MH086714
Funding Information:

The work was supported by the Hong Kong Research Grants Council General Research Fund (HKU 766906M and HKU 774707M), the European Community's Seventh Framework Programme under grant agreement No. HEALTH-F2-2010-241909 (Project EU-GEI), the University of Hong Kong (HKU) Strategic Research Theme of Genomics, HKU Small Project Funding (201007176248), and the National Institute of Mental Health of the USA (1K01MH086714).

References
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DC FieldValueLanguage
dc.contributor.authorSham, PCen_HK
dc.contributor.authorCherny, SSen_HK
dc.contributor.authorHall, MHen_HK
dc.date.accessioned2012-07-16T09:49:39Z-
dc.date.available2012-07-16T09:49:39Z-
dc.date.issued2011en_HK
dc.identifier.citationThe 2010 'Endophenotype Strategy for Psychotic Disorders and Summit Meeting of Key Laboratory of Mental Health, Institute of Psychology, CAS', Brijing, China, 11-13 October 2010. In Chinese Science Bulletin, 2011, v. 56 n. 32, p. 3403-3408en_HK
dc.identifier.issn1001-6538en_HK
dc.identifier.urihttp://hdl.handle.net/10722/152818-
dc.descriptionThis journal issue entitled: SPECIAL TOPIC Endophenotype Strategies for the Study of Neuropsychiatric Disorders-
dc.descriptionThis special topic comprises 9 papers which were presented at the Symposium. (Chinese Science Bulletin, 2011, v. 56 n. 32 Editorial. doi: 10.1007/s11434-011-4716-4)-
dc.description.abstractThe endophenotype concept was initially proposed to enhance the power of genetic studies of complex disorders. It is closely related to the genetic component in a liability-threshold model; a perfect endophenotype should have a correlation of 1 with the genetic component of the liability to disease. In reality, a putative endophenotype is unlikely to be a perfect representation of the genetic component of disease liability. The magnitude of the correlation between a putative endophenotype and the genetic component of disease liability can be estimated by fitting multivariate genetic models to twin data. A number of statistical methods have been developed for incorporating endophenotypes in genetic linkage and association analyses with the aim of improving statistical power. The most recent of such methods can handle multiple endophenotypes simultaneously for the greatest increase in power. In addition to increasing statistical power, endophenotype research plays an important role in helping to understand the mechanisms which connect the associated genetic variants with disease occurrence. Novel statistical approaches may be required for the analysis of the complex relationships between endophenotypes at different levels and how they converge to cause the occurrence of disease. © 2011 Science China Press and Springer-Verlag Berlin Heidelberg.en_HK
dc.languageengen_US
dc.publisherScience China Press. The Journal's web site is located at http://www.springerlink.com/content/1001-6538/en_HK
dc.relation.ispartofChinese Science Bulletinen_HK
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.subjectAssociationen_HK
dc.subjectEndophenotypesen_HK
dc.subjectGeneticsen_HK
dc.subjectGenomicsen_HK
dc.subjectLinkageen_HK
dc.subjectPsychiatric disordersen_HK
dc.titleStatistical issues and approaches in endophenotype researchen_HK
dc.typeConference_Paperen_HK
dc.identifier.emailSham, PC: pcsham@hku.hken_HK
dc.identifier.emailCherny, SS: cherny@hku.hken_HK
dc.identifier.authoritySham, PC=rp00459en_HK
dc.identifier.authorityCherny, SS=rp00232en_HK
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.1007/s11434-011-4746-yen_HK
dc.identifier.scopuseid_2-s2.0-80355132033en_HK
dc.identifier.hkuros189954en_US
dc.identifier.hkuros200599-
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-80355132033&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume56en_HK
dc.identifier.issue32en_HK
dc.identifier.spage3403en_HK
dc.identifier.epage3408en_HK
dc.identifier.isiWOS:000296641800009-
dc.publisher.placeChinaen_HK
dc.relation.projectGenome-wide association study of schizophrenia-
dc.identifier.scopusauthoridSham, PC=34573429300en_HK
dc.identifier.scopusauthoridCherny, SS=7004670001en_HK
dc.identifier.scopusauthoridHall, MH=14013171900en_HK
dc.identifier.citeulike9821286-

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