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Multilocus association analysis under polygenic models
Ott, Jurg1; Sun, Dandan2
2012
Source PublicationINTERNATIONAL JOURNAL OF DATA MINING AND BIOINFORMATICS
ISSN1748-5673
SubtypeArticle
Volume6Issue:5Pages:482-489
AbstractFor 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.
Keywordpolygenic trait emergenesis emergenic trait epistatic interaction schizophrenia
Indexed BySCI
Language英语
WOS IDWOS:000309610700003
Citation statistics
Cited Times:2[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.psych.ac.cn/handle/311026/13424
Collection中国科学院心理健康重点实验室
Affiliation1.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
First Author AffilicationKey Laboratory of Mental Health, CAS
Recommended Citation
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.
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