title: Inferring Alcoholism SNPs and Regulatory Chemical Compounds Based on Ensemble Bayesian Network.
abstract: OBJECTIVE
  The disturbance of consciousness is one of the most common symptoms of those have alcoholism and may cause disability and mortality. Previous studies indicated that several single nucleotide polymorphisms (SNP) increase the susceptibility of alcoholism. In this study, we utilized the Ensemble Bayesian Network (EBN) method to identify causal SNPs of alcoholism based on the verified GAW14 data.
  
  
  METHODS
  We built a Bayesian network combining random process and greedy search by using Genetic Analysis Workshop 14 (GAW14) dataset to establish EBN of SNPs. Then we predicted the association between SNPs and alcoholism by determining Bayes' prior probability.
  
  
  CONCLUSIONS
  Thirteen out of eighteen SNPs directly connected with alcoholism were found concordance with potential risk regions of alcoholism in OMIM database. As many SNPs were found contributing to alteration on gene expression, known as expression quantitative trait loci (eQTLs), we further sought to identify chemical compounds acting as regulators of alcoholism genes captured by causal SNPs. Chloroprene and valproic acid were identified as the expression regulators for genes C11orf66 and SALL3 which were captured by alcoholism SNPs, respectively.
authors.affiliation: Department of Bioinformatics, Nanjing Medical University, Nanjing 210029, China.
authors.forename: Huan
authors.initials: H
authors.lastname: Chen
authors.affiliation: Department of Bioinformatics, Nanjing Medical University, Nanjing 210029, China.
authors.forename: Jiatong
authors.initials: J
authors.lastname: Sun
authors.affiliation: Department of Bioinformatics, Nanjing Medical University, Nanjing 210029, China.
authors.forename: Hong
authors.initials: H
authors.lastname: Jiang
authors.affiliation: Department of Bioinformatics, Nanjing Medical University, Nanjing 210029, China.
authors.forename: Xianyue
authors.initials: X
authors.lastname: Wang
authors.affiliation: Department of Bioinformatics, Nanjing Medical University, Nanjing 210029, China.
authors.forename: Lingxiang
authors.initials: L
authors.lastname: Wu
authors.affiliation: Department of Bioinformatics, Nanjing Medical University, Nanjing 210029, China.
authors.forename: Wei
authors.initials: W
authors.lastname: Wu
authors.affiliation: Department of Bioinformatics, Nanjing Medical University, Nanjing 210029, China.
authors.forename: Qh
authors.initials: Q
authors.lastname: Wang
mesh_terms: D000437:Alcoholism / Q000235:genetics*; D001499:Bayes Theorem; D002737:Chloroprene / Q000494:pharmacology; D030541:Databases, Genetic; D005786:Gene Expression Regulation / Q000187:drug effects; D006801:Humans; D020641:Polymorphism, Single Nucleotide / Q000235:genetics*; D040641:Quantitative Trait Loci; D014635:Valproic Acid / Q000494:pharmacology
chemical_list: D002737:Chloroprene; D014635:Valproic Acid
keywords: SNPs; alcoholism; chemical compound; eQTLs; ensemble bayesian network