Analysis of multiple phenotypes in genome-wide genetic mapping studies

	Analysis of multiple phenotypes in genome-wide genetic mapping studies
	Suo, Chen 1,2; Toulopoulou, Timothea 3,4,5; Bramon, Elvira 6,7; Walshe, Muriel 6,7; Picchioni, Marco 6,7; Murray, Robin 6,7; Ott, Jurg 1; Suo, C (reprint author), Chinese Acad Sci, Inst Psychol, Key Lab Mental Hlth, Beijing 100101, Peoples R China.
心理所单位排序	1
摘要	Background: 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.
关键词	Multiple phenotypes Statistical method Genetic mapping
学科领域	Physiological Psychology/biological Psychology，psychology Research Method
	2013
语种	英语
发表期刊	BMC BIOINFORMATICS
ISSN	1471-2105
卷号	14
期刊论文类型	期刊论文
URL	查看原文
收录类别	SCI
WOS关键词	SCHIZOPHRENIC-PATIENTS ; MEMORY ; RELATIVES ; LOCI
WOS标题词	Science & Technology ; Life Sciences & Biomedicine
WOS研究方向	Biochemistry & Molecular Biology ; Biotechnology & Applied Microbiology ; Mathematical & Computational Biology
WOS类目	Biochemical Research Methods ; Biotechnology & Applied Microbiology ; Mathematical & Computational Biology
WOS记录号	WOS:000319205800001
引用统计	被引频次：22[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.psych.ac.cn/handle/311026/10784
专题	中国科学院心理健康重点实验室
通讯作者	Suo, C (reprint author), Chinese Acad Sci, Inst Psychol, Key Lab Mental Hlth, Beijing 100101, Peoples R China.
作者单位	1.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
第一作者单位	中国科学院心理健康重点实验室
推荐引用方式 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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