Literature DB >> 34611967

Genetic liability for substance use associated with medical comorbidities in electronic health records of African- and European-ancestry individuals.

Emily E Hartwell1,2, Alison K Merikangas3, Shefali S Verma4, Marylyn D Ritchie5,6, Henry R Kranzler1,2, Rachel L Kember1,2.   

Abstract

Polygenic risk scores (PRS) represent an individual's summed genetic risk for a trait and can serve as biomarkers for disease. Less is known about the utility of PRS as a means to quantify genetic risk for substance use disorders (SUDs) than for many other traits. Nonetheless, the growth of large, electronic health record-based biobanks makes it possible to evaluate the association of SUD PRS with other traits. We calculated PRS for smoking initiation, alcohol use disorder (AUD), and opioid use disorder (OUD) using summary statistics from the Million Veteran Program sample. We then tested the association of each PRS with its primary phenotype in the Penn Medicine BioBank (PMBB) using all available genotyped participants of African or European ancestry (AFR and EUR, respectively) (N = 18,612). Finally, we conducted phenome-wide association analyses (PheWAS) separately by ancestry and sex to test for associations across disease categories. Tobacco use disorder was the most common SUD in the PMBB, followed by AUD and OUD, consistent with the population prevalence of these disorders. All PRS were associated with their primary phenotype in both ancestry groups. PheWAS results yielded cross-trait associations across multiple domains, including psychiatric disorders and medical conditions. SUD PRS were associated with their primary phenotypes; however, they are not yet predictive enough to be useful diagnostically. The cross-trait associations of the SUD PRS are indicative of a broader genetic liability. Future work should extend findings to additional population groups and for other substances of abuse.
© 2021 Society for the Study of Addiction.

Entities:  

Keywords:  electronic health record; genome-wide association study; phenome-wide association study; polygenic risk score; substance use disorders

Mesh:

Year:  2021        PMID: 34611967      PMCID: PMC9254745          DOI: 10.1111/adb.13099

Source DB:  PubMed          Journal:  Addict Biol        ISSN: 1355-6215            Impact factor:   4.093


  34 in total

1.  What Are Polygenic Scores and Why Are They Important?

Authors:  Leo P Sugrue; Rahul S Desikan
Journal:  JAMA       Date:  2019-05-14       Impact factor: 56.272

2.  The differences between male and female drug users: community samples of heroin and cocaine users compared.

Authors:  B Powis; P Griffiths; M Gossop; J Strang
Journal:  Subst Use Misuse       Date:  1996-04       Impact factor: 2.164

3.  Polygenic Scores for Major Depressive Disorder and Risk of Alcohol Dependence.

Authors:  Allan M Andersen; Robert H Pietrzak; Henry R Kranzler; Li Ma; Hang Zhou; Xiaoming Liu; John Kramer; Samuel Kuperman; Howard J Edenberg; John I Nurnberger; John P Rice; Jay A Tischfield; Alison Goate; Tatiana M Foroud; Jacquelyn L Meyers; Bernice Porjesz; Danielle M Dick; Victor Hesselbrock; Eric Boerwinkle; Steven M Southwick; John H Krystal; Myrna M Weissman; Douglas F Levinson; James B Potash; Joel Gelernter; Shizhong Han
Journal:  JAMA Psychiatry       Date:  2017-11-01       Impact factor: 21.596

4.  Sex differences in the sources of genetic liability to alcohol abuse and dependence in a population-based sample of U.S. twins.

Authors:  C A Prescott; S H Aggen; K S Kendler
Journal:  Alcohol Clin Exp Res       Date:  1999-07       Impact factor: 3.455

5.  Sex differences in the brain's dopamine signature of cigarette smoking.

Authors:  Kelly P Cosgrove; Shuo Wang; Su-Jin Kim; Erin McGovern; Nabeel Nabulsi; Hong Gao; David Labaree; Hemant D Tagare; Jenna M Sullivan; Evan D Morris
Journal:  J Neurosci       Date:  2014-12-10       Impact factor: 6.167

6.  Gender and comorbidity among individuals with opioid use disorders in the NESARC study.

Authors:  Christine E Grella; Mitchell P Karno; Umme S Warda; Noosha Niv; Alison A Moore
Journal:  Addict Behav       Date:  2009-01-30       Impact factor: 3.913

Review 7.  Stress is a principal factor that promotes tobacco use in females.

Authors:  Oscar V Torres; Laura E O'Dell
Journal:  Prog Neuropsychopharmacol Biol Psychiatry       Date:  2015-04-22       Impact factor: 5.067

8.  Gender differences relative to smoking behavior and emissions of toxins from mainstream cigarette smoke.

Authors:  Assieh A Melikian; Mirjana V Djordjevic; James Hosey; Jie Zhang; Shuquan Chen; Edith Zang; Joshua Muscat; Steven D Stellman
Journal:  Nicotine Tob Res       Date:  2007-03       Impact factor: 4.244

9.  A global reference for human genetic variation.

Authors:  Adam Auton; Lisa D Brooks; Richard M Durbin; Erik P Garrison; Hyun Min Kang; Jan O Korbel; Jonathan L Marchini; Shane McCarthy; Gil A McVean; Gonçalo R Abecasis
Journal:  Nature       Date:  2015-10-01       Impact factor: 49.962

10.  Genome-wide meta-analysis of problematic alcohol use in 435,563 individuals yields insights into biology and relationships with other traits.

Authors:  Hang Zhou; Julia M Sealock; Sandra Sanchez-Roige; Toni-Kim Clarke; Daniel F Levey; Zhongshan Cheng; Boyang Li; Renato Polimanti; Rachel L Kember; Rachel Vickers Smith; Johan H Thygesen; Marsha Y Morgan; Stephen R Atkinson; Mark R Thursz; Mette Nyegaard; Manuel Mattheisen; Anders D Børglum; Emma C Johnson; Amy C Justice; Abraham A Palmer; Andrew McQuillin; Lea K Davis; Howard J Edenberg; Arpana Agrawal; Henry R Kranzler; Joel Gelernter
Journal:  Nat Neurosci       Date:  2020-05-25       Impact factor: 24.884

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