Analysis of multiple phenotypes in genome-wide genetic mapping studies
文献类型：期刊论文
| 作者 | Suo, Chen1,2; Toulopoulou, Timothea3,4,5; Bramon, Elvira6,7; Walshe, Muriel6,7; Picchioni, Marco6,7; Murray, Robin6,7; Ott, Jurg1 |
| 刊名 | BMC BIOINFORMATICS
 |
| 出版日期 | 2013 |
| 卷号 | 14 |
| 关键词 | Multiple phenotypes Statistical method Genetic mapping |
| ISSN号 | 1471-2105 |
| 产权排序 | 1 |
| 通讯作者 | Suo, C (reprint author), Chinese Acad Sci, Inst Psychol, Key Lab Mental Hlth, Beijing 100101, Peoples R China. |
| 英文摘要 | 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. |
| WOS标题词 | Science & Technology ; Life Sciences & Biomedicine |
| 学科主题 | Physiological psychology/Biological Psychology，Psychology research method |
| 类目[WOS] | Biochemical Research Methods ; Biotechnology & Applied Microbiology ; Mathematical & Computational Biology |
| 研究领域[WOS] | Biochemistry & Molecular Biology ; Biotechnology & Applied Microbiology ; Mathematical & Computational Biology |
| 关键词[WOS] | SCHIZOPHRENIC-PATIENTS ; MEMORY ; RELATIVES ; LOCI |
| 收录类别 | SCI |
| 原文出处 | http://www.biomedcentral.com/content/pdf/1471-2105-14-151.pdf |
| 语种 | 英语 |
| WOS记录号 | WOS:000319205800001 |
| 源URL | [http://ir.psych.ac.cn/handle/311026/10784]  |
| 专题 | 心理研究所_中国科学院心理健康重点实验室 |
| 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 |
| 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.,...&Ott, Jurg.(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). |
入库方式： OAI收割
来源：心理研究所
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