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- Publisher Website: 10.1002/gepi.2001.21.s1.s341
- Scopus: eid_2-s2.0-0034797728
- PMID: 11793695
- WOS: WOS:000171462700064
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Conference Paper: Association analysis in a variance components framework
Title | Association analysis in a variance components framework |
---|---|
Authors | |
Keywords | Association Extended pedigree QTL TDT |
Issue Date | 2001 |
Publisher | John Wiley & Sons, Inc. The Journal's web site is located at http://www3.interscience.wiley.com/cgi-bin/jhome/35841 |
Citation | Genetic Epidemiology, 2001, v. 21 suppl. 1, p. S341-S346 How to Cite? |
Abstract | Association analyses conducted in a variance components framework can include information from all available individuals but remain unbiased in the presence of familiality or linkage. Models that include both linkage and association parameters provide different estimates of the effect of a single locus and can be used to distinguish causal polymorphisms from other types of variation. We examine some of these models and their properties in a blind analysis of the simulated Genetic Analysis Workshop 12 data sets. © 2001 Wiley-Liss, Inc. |
Persistent Identifier | http://hdl.handle.net/10722/143619 |
ISSN | 2023 Impact Factor: 1.7 2023 SCImago Journal Rankings: 0.977 |
ISI Accession Number ID | |
References |
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Abecasis, GR | en_HK |
dc.contributor.author | Cardon, LR | en_HK |
dc.contributor.author | Cookson, WOC | en_HK |
dc.contributor.author | Sham, PC | en_HK |
dc.contributor.author | Cherny, SS | en_HK |
dc.date.accessioned | 2011-12-16T08:08:09Z | - |
dc.date.available | 2011-12-16T08:08:09Z | - |
dc.date.issued | 2001 | en_HK |
dc.identifier.citation | Genetic Epidemiology, 2001, v. 21 suppl. 1, p. S341-S346 | en_HK |
dc.identifier.issn | 0741-0395 | en_HK |
dc.identifier.uri | http://hdl.handle.net/10722/143619 | - |
dc.description.abstract | Association analyses conducted in a variance components framework can include information from all available individuals but remain unbiased in the presence of familiality or linkage. Models that include both linkage and association parameters provide different estimates of the effect of a single locus and can be used to distinguish causal polymorphisms from other types of variation. We examine some of these models and their properties in a blind analysis of the simulated Genetic Analysis Workshop 12 data sets. © 2001 Wiley-Liss, Inc. | en_HK |
dc.publisher | John Wiley & Sons, Inc. The Journal's web site is located at http://www3.interscience.wiley.com/cgi-bin/jhome/35841 | en_HK |
dc.relation.ispartof | Genetic Epidemiology | en_HK |
dc.subject | Association | en_HK |
dc.subject | Extended pedigree | en_HK |
dc.subject | QTL | en_HK |
dc.subject | TDT | en_HK |
dc.title | Association analysis in a variance components framework | en_HK |
dc.type | Conference_Paper | en_HK |
dc.identifier.email | Sham, PC: pcsham@hku.hk | en_HK |
dc.identifier.email | Cherny, SS: cherny@hku.hk | en_HK |
dc.identifier.authority | Sham, PC=rp00459 | en_HK |
dc.identifier.authority | Cherny, SS=rp00232 | en_HK |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1002/gepi.2001.21.s1.s341 | - |
dc.identifier.pmid | 11793695 | - |
dc.identifier.scopus | eid_2-s2.0-0034797728 | en_HK |
dc.relation.references | http://www.scopus.com/mlt/select.url?eid=2-s2.0-0034797728&selection=ref&src=s&origin=recordpage | en_HK |
dc.identifier.volume | 21 | en_HK |
dc.identifier.issue | suppl. 1 | en_HK |
dc.identifier.spage | S341 | en_HK |
dc.identifier.epage | S346 | en_HK |
dc.identifier.isi | WOS:000171462700064 | - |
dc.publisher.place | United States | en_HK |
dc.identifier.scopusauthorid | Abecasis, GR=6604013253 | en_HK |
dc.identifier.scopusauthorid | Cardon, LR=7005082964 | en_HK |
dc.identifier.scopusauthorid | Cookson, WOC=35261536800 | en_HK |
dc.identifier.scopusauthorid | Sham, PC=34573429300 | en_HK |
dc.identifier.scopusauthorid | Cherny, SS=7004670001 | en_HK |
dc.customcontrol.immutable | sml 161216 - amended | - |
dc.identifier.issnl | 0741-0395 | - |