Bayesian nonparametric clustering and association studies for candidate SNP observations

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• 作者：Charlotte Wang^a ; Fabrizio Ruggeri^b ; Chuhsing K. Hsiao^c ; Raffaele Argiento^b ; ^d ; ^{raffaele@mi.imati.cnr.it}
• 关键词：Bayesian Clustering ; Bayesian Nonparametric ; Random partitions ; Dirichlet process mixture model ; GWAS ; Logistic regression
• 刊名：International Journal of Approximate Reasoning
• 出版年：2017
• 出版时间：January 2017
• 年：2017
• 卷：80
• 期：Complete
• 页码：19-35
• 全文大小：902 K
• 卷排序：80

文摘

A Bayesian nonparametric model to cluster SNPs data is proposed. A efficient Gibbs sampler is designed and a model based genetic score is computed. Association between groups of SNPs and a disease is assessed via the genetic score. The method is applied to a Crohn's disease study.