Literature DB >> 36171425

Cross-ancestry meta-analysis of opioid use disorder uncovers novel loci with predominant effects in brain regions associated with addiction.

Rachel L Kember1,2, Rachel Vickers-Smith1,3,4, Heng Xu2, Sylvanus Toikumo2, Maria Niarchou5, Hang Zhou6,7, Emily E Hartwell1,2, Richard C Crist1,2, Christopher T Rentsch6,7,8, Lea K Davis5, Amy C Justice6,7,9, Sandra Sanchez-Roige5,10, Kyle M Kampman1,2, Joel Gelernter6,7, Henry R Kranzler11,12.   

Abstract

Despite an estimated heritability of ~50%, genome-wide association studies of opioid use disorder (OUD) have revealed few genome-wide significant loci. We conducted a cross-ancestry meta-analysis of OUD in the Million Veteran Program (N = 425,944). In addition to known exonic variants in OPRM1 and FURIN, we identified intronic variants in RABEPK, FBXW4, NCAM1 and KCNN1. A meta-analysis including other datasets identified a locus in TSNARE1. In total, we identified 14 loci for OUD, 12 of which are novel. Significant genetic correlations were identified for 127 traits, including psychiatric disorders and other substance use-related traits. The only significantly enriched cell-type group was CNS, with gene expression enrichment in brain regions previously associated with substance use disorders. These findings increase our understanding of the biological basis of OUD and provide further evidence that it is a brain disease, which may help to reduce stigma and inform efforts to address the opioid epidemic.
© 2022. This is a U.S. Government work and not under copyright protection in the US; foreign copyright protection may apply.

Entities:  

Mesh:

Substances:

Year:  2022        PMID: 36171425     DOI: 10.1038/s41593-022-01160-z

Source DB:  PubMed          Journal:  Nat Neurosci        ISSN: 1097-6256            Impact factor:   28.771


  67 in total

1.  Specificity of genetic and environmental risk factors for use and abuse/dependence of cannabis, cocaine, hallucinogens, sedatives, stimulants, and opiates in male twins.

Authors:  Kenneth S Kendler; Kristen C Jacobson; Carol A Prescott; Michael C Neale
Journal:  Am J Psychiatry       Date:  2003-04       Impact factor: 18.112

2.  Genome-wide association analysis of opioid use disorder: A novel approach using clinical data.

Authors:  Wenyu Song; Joe Kossowsky; John Torous; Chia-Yen Chen; Hailiang Huang; Kenneth J Mukamal; Charles B Berde; David W Bates; Adam Wright
Journal:  Drug Alcohol Depend       Date:  2020-09-15       Impact factor: 4.492

Review 3.  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

4.  Genome-wide association study of opioid dependence: multiple associations mapped to calcium and potassium pathways.

Authors:  Joel Gelernter; Henry R Kranzler; Richard Sherva; Ryan Koesterer; Laura Almasy; Hongyu Zhao; Lindsay A Farrer
Journal:  Biol Psychiatry       Date:  2013-10-19       Impact factor: 13.382

5.  Genome-wide Association Study Identifies a Regulatory Variant of RGMA Associated With Opioid Dependence in European Americans.

Authors:  Zhongshan Cheng; Hang Zhou; Richard Sherva; Lindsay A Farrer; Henry R Kranzler; Joel Gelernter
Journal:  Biol Psychiatry       Date:  2018-01-11       Impact factor: 13.382

Review 6.  Rates of opioid misuse, abuse, and addiction in chronic pain: a systematic review and data synthesis.

Authors:  Kevin E Vowles; Mindy L McEntee; Peter Siyahhan Julnes; Tessa Frohe; John P Ney; David N van der Goes
Journal:  Pain       Date:  2015-04       Impact factor: 6.961

7.  Association of OPRM1 Functional Coding Variant With Opioid Use Disorder: A Genome-Wide Association Study.

Authors:  Hang Zhou; Christopher T Rentsch; Zhongshan Cheng; Rachel L Kember; Yaira Z Nunez; Richard M Sherva; Janet P Tate; Cecilia Dao; Ke Xu; Renato Polimanti; Lindsay A Farrer; Amy C Justice; Henry R Kranzler; Joel Gelernter
Journal:  JAMA Psychiatry       Date:  2020-10-01       Impact factor: 21.596

8.  Evidence of CNIH3 involvement in opioid dependence.

Authors:  E C Nelson; A Agrawal; A C Heath; R Bogdan; R Sherva; B Zhang; R Al-Hasani; M R Bruchas; Y-L Chou; C H Demers; C E Carey; E D Conley; A K Fakira; L A Farrer; A Goate; S Gordon; A K Henders; V Hesselbrock; M Kapoor; M T Lynskey; P A F Madden; J A Moron; J P Rice; N L Saccone; S G Schwab; F L Shand; A A Todorov; L Wallace; T Wang; N R Wray; X Zhou; L Degenhardt; N G Martin; A R Hariri; H R Kranzler; J Gelernter; L J Bierut; D J Clark; G W Montgomery
Journal:  Mol Psychiatry       Date:  2015-08-04       Impact factor: 15.992

9.  Drug and Opioid-Involved Overdose Deaths - United States, 2017-2018.

Authors:  Nana Wilson; Mbabazi Kariisa; Puja Seth; Herschel Smith; Nicole L Davis
Journal:  MMWR Morb Mortal Wkly Rep       Date:  2020-03-20       Impact factor: 17.586

10.  Leveraging genome-wide data to investigate differences between opioid use vs. opioid dependence in 41,176 individuals from the Psychiatric Genomics Consortium.

Authors:  Renato Polimanti; Raymond K Walters; Emma C Johnson; Jeanette N McClintick; Amy E Adkins; Daniel E Adkins; Silviu-Alin Bacanu; Laura J Bierut; Tim B Bigdeli; Sandra Brown; Kathleen K Bucholz; William E Copeland; E Jane Costello; Louisa Degenhardt; Lindsay A Farrer; Tatiana M Foroud; Louis Fox; Alison M Goate; Richard Grucza; Laura M Hack; Dana B Hancock; Sarah M Hartz; Andrew C Heath; John K Hewitt; Christian J Hopfer; Eric O Johnson; Kenneth S Kendler; Henry R Kranzler; Kenneth Krauter; Dongbing Lai; Pamela A F Madden; Nicholas G Martin; Hermine H Maes; Elliot C Nelson; Roseann E Peterson; Bernice Porjesz; Brien P Riley; Nancy Saccone; Michael Stallings; Tamara L Wall; Bradley T Webb; Leah Wetherill; Howard J Edenberg; Arpana Agrawal; Joel Gelernter
Journal:  Mol Psychiatry       Date:  2020-02-26       Impact factor: 15.992

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.