Literature DB >> 17436240

Genetic linkage to chromosome 22q12 for a heavy-smoking quantitative trait in two independent samples.

Scott F Saccone1, Michele L Pergadia, Anu Loukola, Ulla Broms, Grant W Montgomery, Jen C Wang, Arpana Agrawal, Danielle M Dick, Andrew C Heath, Alexandre A Todorov, Heidi Maunu, Kauko Heikkila, Katherine I Morley, John P Rice, Richard D Todd, Jaakko Kaprio, Leena Peltonen, Nicholas G Martin, Alison M Goate, Pamela A F Madden.   

Abstract

We conducted a genomewide linkage screen of a simple heavy-smoking quantitative trait, the maximum number of cigarettes smoked in a 24-h period, using two independent samples: 289 Australian and 155 Finnish nuclear multiplex families, all of which were of European ancestry and were targeted for DNA analysis by use of probands with a heavy-smoking phenotype. We analyzed the trait, using a regression of identity-by-descent allele sharing on the sum and difference of the trait values for relative pairs. Suggestive linkage was detected on chromosome 22 at 27-29 cM in each sample, with a LOD score of 5.98 at 26.96 cM in the combined sample. After additional markers were used to localize the signal, the LOD score was 5.21 at 25.46 cM. To assess the statistical significance of the LOD score in the combined sample, 1,000 simulated genomewide screens were conducted, resulting in an empirical P value of .006 for the LOD score of 5.21. This linkage signal is driven mainly by the microsatellite marker D22S315 (22.59 cM), which had a single-point LOD score of 5.41 in the combined sample and an empirical P value <.001 from 1,000 simulated genomewide screens. This marker is located within an intron of the gene ADRBK2, encoding the beta-adrenergic receptor kinase 2. Fine mapping of this linkage region may reveal variants contributing to heaviness of smoking, which will lead to a better understanding of the genetic mechanisms underlying nicotine dependence.

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Year:  2007        PMID: 17436240      PMCID: PMC1852734          DOI: 10.1086/513703

Source DB:  PubMed          Journal:  Am J Hum Genet        ISSN: 0002-9297            Impact factor:   11.025


  51 in total

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2.  A genome-wide search for loci contributing to smoking and alcoholism.

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3.  Statistical tests for detection of misspecified relationships by use of genome-screen data.

Authors:  M S McPeek; L Sun
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4.  Merlin--rapid analysis of dense genetic maps using sparse gene flow trees.

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5.  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

6.  A high-resolution recombination map of the human genome.

Authors:  Augustine Kong; Daniel F Gudbjartsson; Jesus Sainz; Gudrun M Jonsdottir; Sigurjon A Gudjonsson; Bjorgvin Richardsson; Sigrun Sigurdardottir; John Barnard; Bjorn Hallbeck; Gisli Masson; Adam Shlien; Stefan T Palsson; Michael L Frigge; Thorgeir E Thorgeirsson; Jeffrey R Gulcher; Kari Stefansson
Journal:  Nat Genet       Date:  2002-06-10       Impact factor: 38.330

7.  A validity study of the SSAGA--a comparison with the SCAN.

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Journal:  Addiction       Date:  1999-09       Impact factor: 6.526

8.  The genetics of smoking persistence in men and women: a multicultural study.

Authors:  P A Madden; A C Heath; N L Pedersen; J Kaprio; M J Koskenvuo; N G Martin
Journal:  Behav Genet       Date:  1999-11       Impact factor: 2.805

9.  Alcoholism susceptibility loci: confirmation studies in a replicate sample and further mapping.

Authors:  T Foroud; H J Edenberg; A Goate; J Rice; L Flury; D L Koller; L J Bierut; P M Conneally; J I Nurnberger; K K Bucholz; T K Li; V Hesselbrock; R Crowe; M Schuckit; B Porjesz; H Begleiter; T Reich
Journal:  Alcohol Clin Exp Res       Date:  2000-07       Impact factor: 3.455

10.  Genomewide linkage scan for nicotine dependence: identification of a chromosome 5 risk locus.

Authors:  Joel Gelernter; Carolien Panhuysen; Roger Weiss; Kathleen Brady; James Poling; Michael Krauthammer; Lindsay Farrer; Henry R Kranzler
Journal:  Biol Psychiatry       Date:  2006-11-01       Impact factor: 13.382

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  53 in total

Review 1.  Introduction to deep sequencing and its application to drug addiction research with a focus on rare variants.

Authors:  Shaolin Wang; Zhongli Yang; Jennie Z Ma; Thomas J Payne; Ming D Li
Journal:  Mol Neurobiol       Date:  2013-08-30       Impact factor: 5.590

2.  A Systematic single nucleotide polymorphism screen to fine-map alcohol dependence genes on chromosome 7 identifies association with a novel susceptibility gene ACN9.

Authors:  Danielle M Dick; Fazil Aliev; Jen C Wang; Scott Saccone; Anthony Hinrichs; Sarah Bertelsen; John Budde; Nancy Saccone; Tatiana Foroud; John Nurnberger; Xiaoling Xuei; P M Conneally; Marc Schuckit; Laura Almasy; Raymond Crowe; Samuel Kuperman; John Kramer; Jay A Tischfield; Victor Hesselbrock; Howard J Edenberg; Bernice Porjesz; John P Rice; Laura Bierut; Alison Goate
Journal:  Biol Psychiatry       Date:  2007-12-27       Impact factor: 13.382

3.  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

4.  Systematic biological prioritization after a genome-wide association study: an application to nicotine dependence.

Authors:  Scott F Saccone; Nancy L Saccone; Gary E Swan; Pamela A F Madden; Alison M Goate; John P Rice; Laura J Bierut
Journal:  Bioinformatics       Date:  2008-06-19       Impact factor: 6.937

Review 5.  Molecular genetics of addiction and related heritable phenotypes: genome-wide association approaches identify "connectivity constellation" and drug target genes with pleiotropic effects.

Authors:  George R Uhl; Tomas Drgon; Catherine Johnson; Chuan-Yun Li; Carlo Contoreggi; Judith Hess; Daniel Naiman; Qing-Rong Liu
Journal:  Ann N Y Acad Sci       Date:  2008-10       Impact factor: 5.691

Review 6.  Identifying susceptibility loci for nicotine dependence: 2008 update based on recent genome-wide linkage analyses.

Authors:  Ming D Li
Journal:  Hum Genet       Date:  2008-01-19       Impact factor: 4.132

7.  Examining the association of NRXN3 SNPs with borderline personality disorder phenotypes in heroin dependent cases and socio-economically disadvantaged controls.

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Journal:  Drug Alcohol Depend       Date:  2012-12-12       Impact factor: 4.492

8.  Genetic linkage findings for DSM-IV nicotine withdrawal in two populations.

Authors:  Michele L Pergadia; Arpana Agrawal; Anu Loukola; Grant W Montgomery; Ulla Broms; Scott F Saccone; Jen C Wang; Alexandre A Todorov; Kauko Heikkilä; Dixie J Statham; Anjali K Henders; Megan J Campbell; John P Rice; Richard D Todd; Andrew C Heath; Alison M Goate; Leena Peltonen; Jaakko Kaprio; Nicholas G Martin; Pamela A F Madden
Journal:  Am J Med Genet B Neuropsychiatr Genet       Date:  2009-10-05       Impact factor: 3.568

9.  A human-specific de novo protein-coding gene associated with human brain functions.

Authors:  Chuan-Yun Li; Yong Zhang; Zhanbo Wang; Yan Zhang; Chunmei Cao; Ping-Wu Zhang; Shu-Juan Lu; Xiao-Mo Li; Quan Yu; Xiaofeng Zheng; Quan Du; George R Uhl; Qing-Rong Liu; Liping Wei
Journal:  PLoS Comput Biol       Date:  2010-03-26       Impact factor: 4.475

10.  EEG alpha phenotypes: linkage analyses and relation to alcohol dependence in an American Indian community study.

Authors:  Cindy L Ehlers; Ian R Gizer; Evelyn Phillips; Kirk C Wilhelmsen
Journal:  BMC Med Genet       Date:  2010-03-18       Impact factor: 2.103

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