Literature DB >> 27606319

A Review of Genome-Wide Association Studies of Stimulant and Opioid Use Disorders.

Kevin P Jensen1.   

Abstract

Substance use disorders (SUD) are a major contributor to disability and disease burden worldwide. Risk for developing SUDs is influenced by variation in the genome. Identifying the genetic variants that influence SUD risk may help us to understand the biological mechanisms for the disorders and improve treatments. Genome-wide association studies (GWAS) have been successful in identifying many regions of the genome associated with common human disorders. Here, findings from recent GWAS of SUDs that involve illicit substances will be reviewed. Several GWAS have been reported, including studies on opioid and stimulant use disorder (cocaine and methamphetamine). Several of these GWAS report associations that are biologically interesting and statistically robust. Replication of the associations in independent samples and functional studies to understand the basis for the statistical associations will be important next steps.

Entities:  

Keywords:  Addiction; Cocaine; Genome-wide association studies; Opioid; Stimulant

Year:  2016        PMID: 27606319      PMCID: PMC4996024          DOI: 10.1159/000444755

Source DB:  PubMed          Journal:  Mol Neuropsychiatry        ISSN: 2296-9179


  64 in total

1.  Regulation of cocaine reward by CREB.

Authors:  W A Carlezon; J Thome; V G Olson; S B Lane-Ladd; E S Brodkin; N Hiroi; R S Duman; R L Neve; E J Nestler
Journal:  Science       Date:  1998-12-18       Impact factor: 47.728

2.  Incorporating age at onset of smoking into genetic models for nicotine dependence: evidence for interaction with multiple genes.

Authors:  Richard A Grucza; Eric O Johnson; Robert F Krueger; Naomi Breslau; Nancy L Saccone; Li-Shiun Chen; Jaime Derringer; Arpana Agrawal; Michael Lynskey; Laura J Bierut
Journal:  Addict Biol       Date:  2010-07       Impact factor: 4.280

3.  Genomewide linkage scan for cocaine dependence and related traits: significant linkages for a cocaine-related trait and cocaine-induced paranoia.

Authors:  Joel Gelernter; Carolien Panhuysen; Roger Weiss; Kathleen Brady; Victor Hesselbrock; Bruce Rounsaville; James Poling; Marsha Wilcox; Lindsay Farrer; Henry R Kranzler
Journal:  Am J Med Genet B Neuropsychiatr Genet       Date:  2005-07-05       Impact factor: 3.568

4.  Genome-wide meta-analyses identify multiple loci associated with smoking behavior.

Authors: 
Journal:  Nat Genet       Date:  2010-04-25       Impact factor: 38.330

5.  Multiple independent loci at chromosome 15q25.1 affect smoking quantity: a meta-analysis and comparison with lung cancer and COPD.

Authors:  Nancy L Saccone; Robert C Culverhouse; Tae-Hwi Schwantes-An; Dale S Cannon; Xiangning Chen; Sven Cichon; Ina Giegling; Shizhong Han; Younghun Han; Kaisu Keskitalo-Vuokko; Xiangyang Kong; Maria Teresa Landi; Jennie Z Ma; Susan E Short; Sarah H Stephens; Victoria L Stevens; Lingwei Sun; Yufei Wang; Angela S Wenzlaff; Steven H Aggen; Naomi Breslau; Peter Broderick; Nilanjan Chatterjee; Jingchun Chen; Andrew C Heath; Markku Heliövaara; Nicole R Hoft; David J Hunter; Majken K Jensen; Nicholas G Martin; Grant W Montgomery; Tianhua Niu; Thomas J Payne; Leena Peltonen; Michele L Pergadia; John P Rice; Richard Sherva; Margaret R Spitz; Juzhong Sun; Jen C Wang; Robert B Weiss; William Wheeler; Stephanie H Witt; Bao-Zhu Yang; Neil E Caporaso; Marissa A Ehringer; Tim Eisen; Susan M Gapstur; Joel Gelernter; Richard Houlston; Jaakko Kaprio; Kenneth S Kendler; Peter Kraft; Mark F Leppert; Ming D Li; Pamela A F Madden; Markus M Nöthen; Sreekumar Pillai; Marcella Rietschel; Dan Rujescu; Ann Schwartz; Christopher I Amos; Laura J Bierut
Journal:  PLoS Genet       Date:  2010-08-05       Impact factor: 5.917

6.  Regulation of gene expression and cocaine reward by CREB and DeltaFosB.

Authors:  Colleen A McClung; Eric J Nestler
Journal:  Nat Neurosci       Date:  2003-10-19       Impact factor: 24.884

7.  Genome-wide association for methamphetamine dependence: convergent results from 2 samples.

Authors:  George R Uhl; Tomas Drgon; Qing-Rong Liu; Catherine Johnson; Donna Walther; Tokutaro Komiyama; Mutsuo Harano; Yoshimoto Sekine; Toshiya Inada; Norio Ozaki; Masaomi Iyo; Nakao Iwata; Mitsuhiko Yamada; Ichiro Sora; Chih-Ken Chen; Hsing-Cheng Liu; Hiroshi Ujike; Shih-Ku Lin
Journal:  Arch Gen Psychiatry       Date:  2008-03

8.  Large-scale genome-wide association analysis of bipolar disorder identifies a new susceptibility locus near ODZ4.

Authors: 
Journal:  Nat Genet       Date:  2011-09-18       Impact factor: 38.330

9.  Genome-wide association study identifies five new schizophrenia loci.

Authors: 
Journal:  Nat Genet       Date:  2011-09-18       Impact factor: 38.330

10.  QuantiSNP: an Objective Bayes Hidden-Markov Model to detect and accurately map copy number variation using SNP genotyping data.

Authors:  Stefano Colella; Christopher Yau; Jennifer M Taylor; Ghazala Mirza; Helen Butler; Penny Clouston; Anne S Bassett; Anneke Seller; Christopher C Holmes; Jiannis Ragoussis
Journal:  Nucleic Acids Res       Date:  2007-03-06       Impact factor: 16.971

View more
  19 in total

1.  Characterization of DSM-IV Opioid Dependence Among Individuals of European Ancestry.

Authors:  Leslie A Brick; Lauren Micalizzi; Valerie S Knopik; Rohan H C Palmer
Journal:  J Stud Alcohol Drugs       Date:  2019-05       Impact factor: 2.582

Review 2.  Multigenerational and transgenerational effects of paternal exposure to drugs of abuse on behavioral and neural function.

Authors:  Lisa R Goldberg; Thomas J Gould
Journal:  Eur J Neurosci       Date:  2018-07-20       Impact factor: 3.386

Review 3.  Environmental, genetic and epigenetic contributions to cocaine addiction.

Authors:  R Christopher Pierce; Bruno Fant; Sarah E Swinford-Jackson; Elizabeth A Heller; Wade H Berrettini; Mathieu E Wimmer
Journal:  Neuropsychopharmacology       Date:  2018-02-05       Impact factor: 7.853

4.  Associations Between Two Single-Nucleotide Polymorphisms in NINJ2 Gene and Risk of Psychiatric Disorders.

Authors:  Arezou Sayad; Soudeh Ghafouri-Fard; Mir Davood Omrani; Mohammad Taheri
Journal:  J Mol Neurosci       Date:  2019-12-23       Impact factor: 3.444

Review 5.  Opioid use disorder.

Authors:  John Strang; Nora D Volkow; Louisa Degenhardt; Matthew Hickman; Kimberly Johnson; George F Koob; Brandon D L Marshall; Mark Tyndall; Sharon L Walsh
Journal:  Nat Rev Dis Primers       Date:  2020-01-09       Impact factor: 52.329

6.  A genome-wide association study of cocaine use disorder accounting for phenotypic heterogeneity and gene–environment interaction

Authors:  Jiangwen Sun; Henry R. Kranzler; Joel Gelernter; Jinbo Bi
Journal:  J Psychiatry Neurosci       Date:  2020-01-01       Impact factor: 6.186

7.  5' UTR variants in the quantitative trait gene Hnrnph1 support reduced 5' UTR usage and hnRNP H protein as a molecular mechanism underlying reduced methamphetamine sensitivity.

Authors:  Qiu T Ruan; Neema Yazdani; Eric R Reed; Jacob A Beierle; Lucy P Peterson; Kimberly P Luttik; Karen K Szumlinski; William E Johnson; Peter E A Ash; Benjamin Wolozin; Camron D Bryant
Journal:  FASEB J       Date:  2020-05-13       Impact factor: 5.191

8.  Collaborative Phenotype Inference from Comorbid Substance Use Disorders and Genotypes.

Authors:  Jin Lu; Jiangwen Sun; Xinyu Wang; Henry R Kranzler; Joel Gelernter; Jinbo Bi
Journal:  Proceedings (IEEE Int Conf Bioinformatics Biomed)       Date:  2017-12-18

Review 9.  The Cholinergic System as a Treatment Target for Opioid Use Disorder.

Authors:  Kevin P Jensen; Elise E DeVito; Sarah Yip; Kathleen M Carroll; Mehmet Sofuoglu
Journal:  CNS Drugs       Date:  2018-11       Impact factor: 5.749

10.  Intracranial self-stimulation and concomitant behaviors following systemic methamphetamine administration in Hnrnph1 mutant mice.

Authors:  Kristyn N Borrelli; Carly R Langan; Kyra R Dubinsky; Karen K Szumlinski; William A Carlezon; Elena H Chartoff; Camron D Bryant
Journal:  Psychopharmacology (Berl)       Date:  2021-03-23       Impact factor: 4.530

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.