Genome-Wide Association for Methamphetamine Dependence

• DOI: 10.1001/archpsyc.65.3.345
• Publication Date: 2008-03-03T16:25:31Z
• Authors: George R. Uhl; Tomas Drgon; Qing-Rong Liu; Catherine Johnson; Donna Walther; Tokutaro Komiyama; Mutsuo Harano; Yoshimoto Sekine; Toshiya Inada; Norio Ozaki; Masaomi Iyo; Nakao Iwata; Mitsuhiko Yamada; Ichiro Sora; Chih-Ken Chen; Hsing-Cheng Liu; Hiroshi Ujike; Shih-Ku Lin
• Keywords: Methamphetamine; Substance dependence; Genome-wide Association Study; Cocaine dependence; Alcohol Dependence; SNP

Context:We can improve understanding of human methamphetamine dependence, and possibly our abilities to prevent treat this devastating disorder, by identifying genes whose allelic variants predispose dependence.Objective: To find "methamphetamine dependence" identified each 2 genome-wide association (GWA) studies independent samples methamphetamine-dependent individuals matched controls.Design: Replicated GWA results in casecontrol studies.Setting: Japan Taiwan.Participants: Individuals with dependence control subjects free from psychiatric, substance abuse, or diagnoses (N=580).Main Outcome Measures: "Methamphetamine that were reproducibly clusters nominally positive single-nucleotide polymorphisms (SNPs) both ways unlikely represent chance observations, based on Monte Carlo simulations corrected for multiple comparisons, subsets also other addictive substances, success quitting smoking, memory.Results: Genes clustered SNPs observations (Monte PϽ.00001).Variants these are likely alter cell adhesion, enzymatic functions, transcription, structure, DNA, RNA, and/or protein handling modification.Cell adhesion CSMD1 CDH13 displayed the largest numbers SNPs."Methamphetamine overlapped, extents much greater than chance, memory P range Ͻ.04 Ͻ.00001). Conclusion:These data support polygenic contributions include those contribute several mnemonic processes.