Linkage scan for quantitative traits identifies new regions of interest for substance dependence in the Collaborative Study on the Genetics of Alcoholism (COGA) sample

Arpana Agrawal, Anthony L. Hinrichs, Gerald Dunn, Sarah Bertelsen, Danielle M. Dick, Scott F. Saccone, Nancy L. Saccone, Richard A. Grucza, Jen C. Wang, C. Robert Cloninger, Howard J. Edenberg, Tatiana Foroud, Victor Hesselbrock, John Kramer, Kathleen K. Bucholz, Samuel Kuperman, John I. Nurnberger, Bernice Porjesz, Marc A. Schuckit, Alison M. GoateLaura J. Bierut

Research output: Contribution to journalArticle

54 Citations (Scopus)

Abstract

Dependence on alcohol and illicit drugs frequently co-occur. Results from a number of twin studies suggest that heritable influences on alcohol dependence and drug dependence may substantially overlap. Using large, genetically informative pedigrees from the Collaborative Study on the Genetics of Alcoholism (COGA), we performed quantitative linkage analyses using a panel of 1717 SNPs. Genome-wide linkage analyses were conducted for quantitative measures of DSM-IV alcohol dependence criteria, cannabis dependence criteria and dependence criteria across any illicit drug (including cannabis) individually and in combination as an average score across alcohol and illicit drug dependence criteria. For alcohol dependence, LOD scores exceeding 2.0 were noted on chromosome 1 (2.0 at 213 cM), 2 (3.4 at 234 cM) and 10 (3.7 at 60 cM). For cannabis dependence, a maximum LOD of 1.9 was noted at 95 cM on chromosome 14. For any illicit drug dependence, LODs of 2.0 and 2.4 were observed on chromosome 10 (116 cM) and 13 (64 cM) respectively. Finally, the combined alcohol and/or drug dependence symptoms yielded LODs >2.0 on chromosome 2 (3.2, 234 cM), 10 (2.4 and 2.6 at 60 cM and 116 cM) and 13 (2.1 at 64 cM). These regions may harbor genes that contribute to the biological basis of alcohol and drug dependence.

Original languageEnglish (US)
Pages (from-to)12-20
Number of pages9
JournalDrug and Alcohol Dependence
Volume93
Issue number1-2
DOIs
StatePublished - Jan 11 2008

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alcoholism
Alcoholism
Substance-Related Disorders
drug dependence
alcohol
Alcohols
Street Drugs
Chromosomes
Cannabis
Marijuana Abuse
Genes
Pharmaceutical Preparations
twin studies
drug
Chromosomes, Human, Pair 14
Chromosomes, Human, Pair 10
Twin Studies
Chromosomes, Human, Pair 2
Chromosomes, Human, Pair 1
Pedigree

Keywords

  • Alcohol
  • Cannabis
  • COGA
  • Dependence
  • Illicit drugs
  • Linkage

ASJC Scopus subject areas

  • Medicine(all)
  • Behavioral Neuroscience
  • Toxicology
  • Health(social science)

Cite this

Linkage scan for quantitative traits identifies new regions of interest for substance dependence in the Collaborative Study on the Genetics of Alcoholism (COGA) sample. / Agrawal, Arpana; Hinrichs, Anthony L.; Dunn, Gerald; Bertelsen, Sarah; Dick, Danielle M.; Saccone, Scott F.; Saccone, Nancy L.; Grucza, Richard A.; Wang, Jen C.; Cloninger, C. Robert; Edenberg, Howard J.; Foroud, Tatiana; Hesselbrock, Victor; Kramer, John; Bucholz, Kathleen K.; Kuperman, Samuel; Nurnberger, John I.; Porjesz, Bernice; Schuckit, Marc A.; Goate, Alison M.; Bierut, Laura J.

In: Drug and Alcohol Dependence, Vol. 93, No. 1-2, 11.01.2008, p. 12-20.

Research output: Contribution to journalArticle

Agrawal, A, Hinrichs, AL, Dunn, G, Bertelsen, S, Dick, DM, Saccone, SF, Saccone, NL, Grucza, RA, Wang, JC, Cloninger, CR, Edenberg, HJ, Foroud, T, Hesselbrock, V, Kramer, J, Bucholz, KK, Kuperman, S, Nurnberger, JI, Porjesz, B, Schuckit, MA, Goate, AM & Bierut, LJ 2008, 'Linkage scan for quantitative traits identifies new regions of interest for substance dependence in the Collaborative Study on the Genetics of Alcoholism (COGA) sample', Drug and Alcohol Dependence, vol. 93, no. 1-2, pp. 12-20. https://doi.org/10.1016/j.drugalcdep.2007.08.015
Agrawal, Arpana ; Hinrichs, Anthony L. ; Dunn, Gerald ; Bertelsen, Sarah ; Dick, Danielle M. ; Saccone, Scott F. ; Saccone, Nancy L. ; Grucza, Richard A. ; Wang, Jen C. ; Cloninger, C. Robert ; Edenberg, Howard J. ; Foroud, Tatiana ; Hesselbrock, Victor ; Kramer, John ; Bucholz, Kathleen K. ; Kuperman, Samuel ; Nurnberger, John I. ; Porjesz, Bernice ; Schuckit, Marc A. ; Goate, Alison M. ; Bierut, Laura J. / Linkage scan for quantitative traits identifies new regions of interest for substance dependence in the Collaborative Study on the Genetics of Alcoholism (COGA) sample. In: Drug and Alcohol Dependence. 2008 ; Vol. 93, No. 1-2. pp. 12-20.
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