title: Multilocus association analysis under polygenic models.
abstract: 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.
authors.affiliation: Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, 4A Datun Road, Beijing 100101, China. ottjurg@psych.ac.cn
authors.forename: Jurg
authors.initials: J
authors.lastname: Ott
authors.forename: Dandan
authors.initials: D
authors.lastname: Sun
mesh_terms: D000483:Alleles; D020022:Genetic Predisposition to Disease; D014644:Genetic Variation; D016678:Genome; D055106:Genome-Wide Association Study / Q000379:methods; D023281:Genomics / Q000379:methods*; D006801:Humans