Literature DB >> 19860796

Linkage analysis of alcohol dependence symptoms in the community.

Narelle K Hansell1, Arpana Agrawal, John B Whitfield, Katherine I Morley, Scott D Gordon, Penelope A Lind, Michele L Pergadia, Grant W Montgomery, Pamela A F Madden, Richard D Todd, Andrew C Heath, Nicholas G Martin.   

Abstract

BACKGROUND: We have previously identified suggestive linkage for alcohol consumption in a community-based sample of Australian adults. In this companion paper, we explore the strength of genetic linkage signals for alcohol dependence symptoms.
METHODS: An alcohol dependence symptom score, based on DSM-IIIR and DSM-IV criteria, was examined. Twins and their nontwin siblings (1,654 males, 2,518 females), aged 21 to 81 years, were interviewed, with 803 individuals interviewed on 2 occasions, approximately 10 years apart. Linkage analyses were conducted on datasets compiled to maximize data collected at either the younger or the older age. In addition, linkage was compared between full samples and truncated samples that excluded the lightest drinkers (approximately 10% of the sample).
RESULTS: Suggestive peaks on chromosome 5p (LODs >2.2) were found in a region previously identified in alcohol linkage studies using clinical populations. Linkage signal strength was found to vary between full and truncated samples and when samples differed only on the collection age for a sample subset.
CONCLUSIONS: The results support the finding that large community samples can be informative in the study of alcohol-related traits.

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Mesh:

Year:  2009        PMID: 19860796      PMCID: PMC3210700          DOI: 10.1111/j.1530-0277.2009.01077.x

Source DB:  PubMed          Journal:  Alcohol Clin Exp Res        ISSN: 0145-6008            Impact factor:   3.455


  43 in total

Review 1.  Making memories stick: cell-adhesion molecules in synaptic plasticity.

Authors:  D L Benson; L M Schnapp; L Shapiro; G W Huntley
Journal:  Trends Cell Biol       Date:  2000-11       Impact factor: 20.808

2.  Merlin--rapid analysis of dense genetic maps using sparse gene flow trees.

Authors:  Gonçalo R Abecasis; Stacey S Cherny; William O Cookson; Lon R Cardon
Journal:  Nat Genet       Date:  2001-12-03       Impact factor: 38.330

3.  Powerful regression-based quantitative-trait linkage analysis of general pedigrees.

Authors:  Pak C Sham; Shaun Purcell; Stacey S Cherny; Gonçalo R Abecasis
Journal:  Am J Hum Genet       Date:  2002-07-05       Impact factor: 11.025

4.  Limits of fine-mapping a quantitative trait.

Authors:  Larry D Atwood; Nancy L Heard-Costa
Journal:  Genet Epidemiol       Date:  2003-02       Impact factor: 2.135

5.  Transcription profiling reveals mitochondrial, ubiquitin and signaling systems abnormalities in postmortem brains from subjects with a history of alcohol abuse or dependence.

Authors:  Boris P Sokolov; Lixin Jiang; Niraj S Trivedi; Christopher Aston
Journal:  J Neurosci Res       Date:  2003-06-15       Impact factor: 4.164

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

Authors:  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 Goate; Laura J Bierut
Journal:  Drug Alcohol Depend       Date:  2007-10-17       Impact factor: 4.492

7.  Variations in GABRA2, encoding the alpha 2 subunit of the GABA(A) receptor, are associated with alcohol dependence and with brain oscillations.

Authors:  Howard J Edenberg; Danielle M Dick; Xiaoling Xuei; Huijun Tian; Laura Almasy; Lance O Bauer; Raymond R Crowe; Alison Goate; Victor Hesselbrock; Kevin Jones; Jennifer Kwon; Ting-Kai Li; John I Nurnberger; Sean J O'Connor; Theodore Reich; John Rice; Marc A Schuckit; Bernice Porjesz; Tatiana Foroud; Henri Begleiter
Journal:  Am J Hum Genet       Date:  2004-03-12       Impact factor: 11.025

8.  Suggestive linkage on chromosome 1 for a quantitative alcohol-related phenotype.

Authors:  Danielle M Dick; John Nurnberger; Howard J Edenberg; Alison Goate; Ray Crowe; John Rice; Kathleen K Bucholz; John Kramer; Marc A Schuckit; Tom L Smith; Bernice Porjesz; Henri Begleiter; Victor Hesselbrock; Tatiana Foroud
Journal:  Alcohol Clin Exp Res       Date:  2002-10       Impact factor: 3.455

9.  A genome-wide screen for genes influencing conduct disorder.

Authors:  D M Dick; T-K Li; H J Edenberg; V Hesselbrock; J Kramer; S Kuperman; B Porjesz; K Bucholz; A Goate; J Nurnberger; T Foroud
Journal:  Mol Psychiatry       Date:  2004-01       Impact factor: 15.992

10.  Genome-wide screen for heavy alcohol consumption.

Authors:  Diego F Wyszynski; Carolien I Panhuysen; Qianli Ma; Agustin G Yip; Marsha Wilcox; Porat Erlich; Lindsay A Farrer
Journal:  BMC Genet       Date:  2003-12-31       Impact factor: 2.797

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  3 in total

1.  Integrating GWASs and human protein interaction networks identifies a gene subnetwork underlying alcohol dependence.

Authors:  Shizhong Han; Bao-Zhu Yang; Henry R Kranzler; Xiaoming Liu; Hongyu Zhao; Lindsay A Farrer; Eric Boerwinkle; James B Potash; Joel Gelernter
Journal:  Am J Hum Genet       Date:  2013-11-21       Impact factor: 11.025

Review 2.  The genetics of substance dependence.

Authors:  Jen-Chyong Wang; Manav Kapoor; Alison M Goate
Journal:  Annu Rev Genomics Hum Genet       Date:  2012-06-11       Impact factor: 8.929

3.  Discovering genes involved in alcohol dependence and other alcohol responses: role of animal models.

Authors:  Kari J Buck; Lauren C Milner; Deaunne L Denmark; Seth G N Grant; Laura B Kozell
Journal:  Alcohol Res       Date:  2012
  3 in total

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