Genome-wide association study of conduct disorder symptomatology

D. M. Dick, F. Aliev, R. F. Krueger, A. Edwards, A. Agrawal, M. Lynskey, P. Lin, M. Schuckit, V. Hesselbrock, J. Nurnberger, L. Almasy, B. Porjesz, H. J. Edenberg, K. Bucholz, J. Kramer, S. Kuperman, L. Bierut

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82 Scopus citations


Conduct disorder (CD) is one of the most prevalent childhood psychiatric conditions, and is associated with a number of serious concomitant and future problems. CD symptomatology is known to have a considerable genetic component, with heritability estimates in the range of 50%. Despite this, there is a relative paucity of studies aimed at identifying genes involved in the susceptibility to CD. In this study, we report results from a genome-wide association study of CD symptoms. CD symptoms were retrospectively reported by a psychiatric interview among a sample of cases and controls, in which cases met the criteria for alcohol dependence. Our primary phenotype was the natural log transformation of the number of CD symptoms that were endorsed, with data available for 3963 individuals who were genotyped on the Illumina Human 1M beadchip array. Secondary analyses are presented for case versus control status, in which caseness was established as endorsing three or more CD symptoms (N872 with CD and N3091 without CD). We find four markers that meet the criteria for genome-wide significance (P<5 × 10 -8) with the CD symptom count, two of which are located in the gene C1QTNF7 (C1q and tumor necrosis factor-related protein 7). There were six additional SNPs in the gene that yielded converging evidence of association. These data provide the first evidence of a specific gene that is associated with CD symptomatology. None of the top signals resided in traditional candidate genes, underscoring the importance of a genome-wide approach for identifying novel variants involved in this serious childhood disorder.

Original languageEnglish
Pages (from-to)800-808
Number of pages9
JournalMolecular Psychiatry
Issue number8
StatePublished - Aug 2011


  • GWAS
  • association analysis
  • conduct disorder
  • genetics


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