Analysis of multiple phenotypes in genome-wide genetic mapping studies

doi:10.1186/1471-2105-14-151

PSYCH OpenIR

	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 6,7,8; Murray,Robin 6,7; Ott,Jurg 1
通讯作者	Suo,Chen(chen.suo@ki.se)
摘要	AbstractBackgroundComplex 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.ResultsWe 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.ConclusionsVia 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
	2013-05-02
语种	英语
DOI	10.1186/1471-2105-14-151
发表期刊	BMC Bioinformatics
ISSN	1471-2105
卷号	14 期号:1
出版者	BioMed Central
WOS记录号	BMC:10.1186/1471-2105-14-151
引用统计
文献类型	期刊论文
条目标识符	http://ir.psych.ac.cn/handle/311026/41965
通讯作者	Suo,Chen
作者单位	1.Institute of Psychology, Chinese Academy of Sciences; Key Laboratory of Mental Health 2.Karolinska Institutet; Department of Medical Epidemiology and Biostatistics 3.The University of Hong Kong; Department of Psychology 4.The University of Hong Kong; State Key Laboratory of Brain and Cognitive Sciences 5.King's Health Partners, Department of Psychosis Studies Institute of Psychiatry; King's College London 6.King’s College; Institute of Psychiatry 7.Kings College London; St Andrew’s Academic Centre 8.Kings College London; St Andrew’s Academic Centre
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(1).
APA	Suo,Chen.,Toulopoulou,Timothea.,Bramon,Elvira.,Walshe,Muriel.,Picchioni,Marco.,...&Ott,Jurg.(2013).Analysis of multiple phenotypes in genome-wide genetic mapping studies.BMC Bioinformatics,14(1).
MLA	Suo,Chen,et al."Analysis of multiple phenotypes in genome-wide genetic mapping studies".BMC Bioinformatics 14.1(2013).