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Multilocus association analysis under polygenic models
Ott, Jurg1; Sun, Dandan2
2012
发表期刊INTERNATIONAL JOURNAL OF DATA MINING AND BIOINFORMATICS
ISSN1748-5673
文章类型Article
卷号6期号:5页码:482-489
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.
关键词polygenic trait emergenesis emergenic trait epistatic interaction schizophrenia
收录类别SCI
语种英语
WOS记录号WOS:000309610700003
引用统计
被引频次:1[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/311026/13424
专题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
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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.
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