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Analysis of multiple phenotypes in genome-wide genetic mapping studies
Suo, Chen1,2; Toulopoulou, Timothea3,4,5; Bramon, Elvira6,7; Walshe, Muriel6,7; Picchioni, Marco6,7; Murray, Robin6,7; Ott, Jurg1; Suo, C (reprint author), Chinese Acad Sci, Inst Psychol, Key Lab Mental Hlth, Beijing 100101, Peoples R China.
2013
Source PublicationBMC BIOINFORMATICS
ISSN1471-2105
Subtype期刊论文
Volume14
Contribution Rank1
AbstractBackground: Complex traits may be defined by a range of different criteria. It would result in a loss of information to perform analyses simply on the basis of a final clinical dichotomized affected / unaffected variable. Results: We assess the performance of four alternative approaches for the analysis of multiple phenotypes in genetic association studies. We describe the four methods in detail and discuss their relative theoretical merits and disadvantages. Using simulation we demonstrate that PCA provides the greatest power when applied to both correlated phenotypes and with large numbers of phenotypes. The multivariate approach had low type I error only with independent phenotypes or small numbers of phenotypes. In this study, our application of the four methods to schizophrenia data provides converging evidence of the relative performance of the methods. Conclusions: Via power analysis of simulated data and testing of experimental data, we conclude that PCA, creating one variable based on a linear combination of all the traits, performs optimally. We propose that our comparison will provide insight into the properties of the methods and help researchers to choose appropriate strategy in future experimental studies.
KeywordMultiple phenotypes Statistical method Genetic mapping
Subject AreaPhysiological Psychology/biological Psychology,psychology Research Method
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Indexed BySCI
Language英语
WOS Research AreaBiochemistry & Molecular Biology ; Biotechnology & Applied Microbiology ; Mathematical & Computational Biology
WOS SubjectBiochemical Research Methods ; Biotechnology & Applied Microbiology ; Mathematical & Computational Biology
WOS IDWOS:000319205800001
WOS HeadingsScience & Technology ; Life Sciences & Biomedicine
WOS KeywordSCHIZOPHRENIC-PATIENTS ; MEMORY ; RELATIVES ; LOCI
Citation statistics
Cited Times:17[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.psych.ac.cn/handle/311026/10784
Collection中国科学院心理健康重点实验室
Corresponding AuthorSuo, C (reprint author), Chinese Acad Sci, Inst Psychol, Key Lab Mental Hlth, Beijing 100101, Peoples R China.
Affiliation1.Chinese Acad Sci, Inst Psychol, Key Lab Mental Hlth, Beijing 100101, Peoples R China
2.Karolinska Inst, Dept Med Epidemiol & Biostat, Stockholm, Sweden
3.Univ Hong Kong, Dept Psychol, Hong Kong, Hong Kong, Peoples R China
4.Univ Hong Kong, State Key Lab Brain & Cognit Sci, Hong Kong, Hong Kong, Peoples R China
5.Kings Coll London, Inst Psychiat, Dept Psychosis Studies, Kings Hlth Partners, London WC2R 2LS, England
6.Kings Coll London, Inst Psychiat, London WC2R 2LS, England
7.Kings Coll London, St Andrews Acad Ctr, Northampton, England
First Author AffilicationKey Laboratory of Mental Health, CAS
Recommended Citation
GB/T 7714
Suo, Chen,Toulopoulou, Timothea,Bramon, Elvira,et al. Analysis of multiple phenotypes in genome-wide genetic mapping studies[J]. BMC BIOINFORMATICS,2013,14.
APA Suo, Chen.,Toulopoulou, Timothea.,Bramon, Elvira.,Walshe, Muriel.,Picchioni, Marco.,...&Suo, C .(2013).Analysis of multiple phenotypes in genome-wide genetic mapping studies.BMC BIOINFORMATICS,14.
MLA Suo, Chen,et al."Analysis of multiple phenotypes in genome-wide genetic mapping studies".BMC BIOINFORMATICS 14(2013).
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