Multilocus association analysis under polygenic models

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	Multilocus association analysis under polygenic models
	Ott, Jurg 1; Sun, Dandan 2
刊名	INTERNATIONAL JOURNAL OF DATA MINING AND BIOINFORMATICS
	2012
卷号	6 期号:5 页码:482-489
关键词	polygenic trait emergenesis emergenic trait epistatic interaction schizophrenia
ISSN号	1748-5673
英文摘要	For each variant in a genome-wide association study, the risk allele is the one with an odds ratio greater than 1. For a given set of variants, the number of risk alleles in cases minus that in controls is evaluated and a p-value is obtained for this difference. Successive sums of these differences over the best 2, 3, etc. variants and associated p-values are obtained. The smallest such p-value is our genome-wide test statistic, for which an empirical significance level is obtained by permutation analysis. Applied to disease datasets, our approach furnishes significant results even with little single-locus effects.
收录类别	SCI
语种	英语
WOS记录号	WOS:000309610700003
内容类型	期刊论文
源URL	[http://ir.psych.ac.cn/handle/311026/13424]
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.Chinese Acad Sci, Beijing Inst Genom, Beijing 100029, Peoples R China
推荐引用方式 GB/T 7714	Ott, Jurg,Sun, Dandan. Multilocus association analysis under polygenic models[J]. INTERNATIONAL JOURNAL OF DATA MINING AND BIOINFORMATICS,2012,6(5):482-489.
APA	Ott, Jurg,&Sun, Dandan.(2012).Multilocus association analysis under polygenic models.INTERNATIONAL JOURNAL OF DATA MINING AND BIOINFORMATICS,6(5),482-489.
MLA	Ott, Jurg,et al."Multilocus association analysis under polygenic models".INTERNATIONAL JOURNAL OF DATA MINING AND BIOINFORMATICS 6.5(2012):482-489.