Journal article
Genetic linkage findings for DSM-IV nicotine withdrawal in two populations
American Journal of Medical Genetics. Part B: Neuropsychiatric Genetics, Vol.150(7), pp.950-959
2009
Abstract
Nicotine withdrawal (NW) is both an important contributor to difficulty quitting cigarettes and because of mood-related withdrawal symptoms a problem of particular relevance to psychiatry. Twin-studies suggest that genetic factors influence NW (heritability = 45%). Only one previous linkage study has published findings on NW [Swan et al. (2006); Am J Med Genet Part B 141B:354-360; LOD = 2.7; Chr. 6 at 159 cM]. As part of an international consortium, genome-wide scans (using over 360 autosomal microsatellite markers) and telephone diagnostic interviews were conducted on 289 Australian (AUS) and 161 Finnish (FIN, combined (COMB) N = 450 families) families ascertained from twin registries through index-cases with a lifetime history of cigarette smoking. The statistical approach used an affected-sib-pair design (at least two adult full siblings reported a history of DSM-IV NW) and conducted the linkage analyses using MERLIN. Linkage signals with LOD scores >1.5 were found on two chromosomes: 6 (FIN: LOD = 1.93 at 75 cM) and 11 at two different locations (FIN: LOD = 3.55 at 17 cM, and AUS: LOD = 1.68 with a COMB: LOD = 2.30 at 123 cM). The multipoint LOD score of 3.55 on chromosome 11p15 in FIN met genomewide significance (P = 0.013 with 1,000 simulations). At least four strong candidate genes lie within or near this peak on chromosome 11: DRD4, TPH, TH, and CHRNA10. Other studies have reported that chromosome 11 may harbor genes associated with various aspects of smoking behavior. This study adds to that literature by highlighting evidence for NW.
Details
- Title
- Genetic linkage findings for DSM-IV nicotine withdrawal in two populations
- Authors
- M L Pergadia (Author) - Washington University, United StatesA Agrawal (Author) - Washington University, United StatesA Loukola (Author) - University of Helsinki, FinlandG W Montgomery (Author) - Queensland Institute of Medical ResearchU Broms (Author) - University of Helsinki, FinlandS F Saccone (Author) - Washington University, United StatesJ C Wang (Author) - Washington University, United StatesA A Todorov (Author) - Washington University, United StatesK Heikklia (Author) - Washington University, United StatesDixie J Statham (Author) - University of the Sunshine Coast - Faculty of Arts and Social SciencesA Henders (Author) - Queensland Institute of Medical ResearchM Campbell (Author) - Queensland Institute of Medical ResearchJ Rice (Author) - Washington University, United StatesR D Todd (Author) - Washington University, United StatesA C Heath (Author) - Washington University, United StatesA M Goate (Author) - Washington University, United StatesL Peltonen (Author) - University of Helsinki, FinlandJ Kaprio (Author) - University of Helsinki, FinlandN G Martin (Author) - Queensland Institute of Medical ResearchP A F Madden (Author) - Washington University, United States
- Publication details
- American Journal of Medical Genetics. Part B: Neuropsychiatric Genetics, Vol.150(7), pp.950-959
- Publisher
- John Wiley & Sons Inc.
- Date published
- 2009
- DOI
- 10.1002/ajmg.b.30924
- ISSN
- 1552-4841
- Copyright note
- Copyright © 2009 The Authors. This is the accepted version of the following article: Pergadia ML, Agrawal A, Loukola A, Montgomery GW, Broms U, Saccone SF, Wang JC, Todorov AA, Heikkilä K, Statham DJ, Henders AK, Campbell MJ, Rice JP, Todd RD, Heath AC, Goate AM, Peltonen L, Kaprio J, Martin NG, Madden PAF. 2009. Genetic Linkage Findings for DSM-IV Nicotine Withdrawal in Two Populations. Am J Med Genet Part B 150B:950-959., which has been published in final form at http://dx.doi.org/10.1002/ajmg.b.30924
- Organisation Unit
- School of Social Sciences - Legacy; University of the Sunshine Coast, Queensland
- Language
- English
- Record Identifier
- 99449852102621
- Output Type
- Journal article
Metrics
32 File views/ downloads
707 Record Views
InCites Highlights
These are selected metrics from InCites Benchmarking & Analytics tool, related to this output
- Collaboration types
- Domestic collaboration
- International collaboration
- Web Of Science research areas
- Genetics & Heredity
- Psychiatry
UN Sustainable Development Goals (SDGs)
This output has contributed to the advancement of the following goals:
Source: InCites