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Gerring ZF, Thorp JG, Treur JL, Verweij KJH, Derks EM. The genetic landscape of substance use disorders. Mol Psychiatry 2024:10.1038/s41380-024-02547-z. [PMID: 38811691 DOI: 10.1038/s41380-024-02547-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/17/2023] [Revised: 03/21/2024] [Accepted: 03/28/2024] [Indexed: 05/31/2024]
Abstract
Substance use disorders represent a significant public health concern with considerable socioeconomic implications worldwide. Twin and family-based studies have long established a heritable component underlying these disorders. In recent years, genome-wide association studies of large, broadly phenotyped samples have identified regions of the genome that harbour genetic risk variants associated with substance use disorders. These regions have enabled the discovery of putative causal genes and improved our understanding of genetic relationships among substance use disorders and other traits. Furthermore, the integration of these data with clinical information has yielded promising insights into how individuals respond to medications, allowing for the development of personalized treatment approaches based on an individual's genetic profile. This review article provides an overview of recent advances in the genetics of substance use disorders and demonstrates how genetic data may be used to reduce the burden of disease and improve public health outcomes.
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Affiliation(s)
- Zachary F Gerring
- Translational Neurogenomics Laboratory, Mental Health and Neuroscience, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
| | - Jackson G Thorp
- Translational Neurogenomics Laboratory, Mental Health and Neuroscience, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
| | - Jorien L Treur
- Department of Psychiatry, Amsterdam UMC, location University of Amsterdam, Amsterdam, the Netherlands
| | - Karin J H Verweij
- Department of Psychiatry, Amsterdam UMC, location University of Amsterdam, Amsterdam, the Netherlands
| | - Eske M Derks
- Translational Neurogenomics Laboratory, Mental Health and Neuroscience, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia.
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2
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Yakovchik AY, Tolynyova DV, Kashtanova DA, Sutulova ER, Ivanov MV, Mamchur AA, Erema VV, Matkava LR, Terekhov MV, Rumyantseva AM, Blinova OI, Akinshina AI, Mitrofanov SI, Yudin VS, Makarov VV, Keskinov AА, Kraevoy SA, Yudin SM. Genetics of psycho-emotional well-being: genome-wide association study and polygenic risk score analysis. Front Psychiatry 2024; 14:1188427. [PMID: 38328521 PMCID: PMC10847277 DOI: 10.3389/fpsyt.2023.1188427] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/17/2023] [Accepted: 07/28/2023] [Indexed: 02/09/2024] Open
Abstract
Background Psycho-emotional well-being is essential for living a life of satisfaction and fulfillment. However, depression and anxiety have become the leading mental health issues worldwide, according to the World Health Organization. Both disorders have been linked to stress and other psychological factors. Their genetic basis remains understudied. Methods In 2020-2021, the psycho-emotional well-being of 30,063 Russians with no known psychiatric history was assessed using the Hospital Anxiety and Depression Scale (HADS) for general mental health and the HADS subscale A (anxiety) for anxiety. Following the original instructions, an anxiety score of ≥11 points was used as the anxiety threshold. A genome-wide association study was performed to find associations between anxiety and HADS/HADS-A scores using linear and logistic regressions based on HADS/HADS-A scores as binary and continuous variables, respectively. In addition, the links between anxiety, sociodemographic factors (such as age, sex, and employment), lifestyle (such as physical activity, sleep duration, and smoking), and markers of caffeine and alcohol metabolism were analyzed. To assess the risk of anxiety, polygenic risk score modeling was carried out using open-access software and principal component analysis (PCA) to simplify the calculations (ROC AUC = 89.4 ± 2.2% on the test set). Results There was a strong positive association between HADS/HADS-A scores and sociodemographic factors and lifestyle. New single-nucleotide polymorphisms (SNPs) with genome-wide significance were discovered, which had not been associated with anxiety or other stress-related conditions but were located in genes previously associated with bipolar disorder, schizophrenia, or emotional instability. The CACNA1C variant rs1205787230 was associated with clinical anxiety (a HADS-A score of ≥11 points). There was an association between anxiety levels (HADS-A scores) and genes involved in the activity of excitatory neurotransmitters: PTPRN2 (rs3857647), DLGAP4 (rs8114927), and STK24 (rs9517326). Conclusion Our results suggest that calcium channels and monoamine neurotransmitters, as well as SNPs in genes directly or indirectly affecting neurogenesis and synaptic functions, may be involved in the development of increased anxiety. The role of some non-genetic factors and the clinical significance of physiological markers such as lifestyle were also demonstrated.
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Affiliation(s)
- Anna Yurievna Yakovchik
- Federal State Budgetary Institution Centre for Strategic Planning and Management of Biomedical Health Risks of the Federal Medical Biological Agency, Moscow, Russia
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3
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Holen B, Shadrin AA, Icick R, Filiz TT, Hindley G, Rødevand L, O'Connell KS, Hagen E, Frei O, Bahrami S, Cheng W, Parker N, Tesfaye M, Jahołkowski P, Karadag N, Dale AM, Djurovic S, Smeland OB, Andreassen OA. Genome-wide analyses reveal novel opioid use disorder loci and genetic overlap with schizophrenia, bipolar disorder, and major depression. Addict Biol 2023; 28:e13282. [PMID: 37252880 DOI: 10.1111/adb.13282] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2022] [Revised: 03/20/2023] [Accepted: 04/03/2023] [Indexed: 06/01/2023]
Abstract
Opioid use disorder (OUD) and mental disorders are often comorbid, with increased morbidity and mortality. The causes underlying this relationship are poorly understood. Although these conditions are highly heritable, their shared genetic vulnerabilities remain unaccounted for. We applied the conditional/conjunctional false discovery rate (cond/conjFDR) approach to analyse summary statistics from independent genome wide association studies of OUD, schizophrenia (SCZ), bipolar disorder (BD) and major depression (MD) of European ancestry. Next, we characterized the identified shared loci using biological annotation resources. OUD data were obtained from the Million Veteran Program, Yale-Penn and Study of Addiction: Genetics and Environment (SAGE) (15 756 cases, 99 039 controls). SCZ (53 386 cases, 77 258 controls), BD (41 917 cases, 371 549 controls) and MD (170 756 cases, 329 443 controls) data were provided by the Psychiatric Genomics Consortium. We discovered genetic enrichment for OUD conditional on associations with SCZ, BD, MD and vice versa, indicating polygenic overlap with identification of 14 novel OUD loci at condFDR < 0.05 and 7 unique loci shared between OUD and SCZ (n = 2), BD (n = 2) and MD (n = 7) at conjFDR < 0.05 with concordant effect directions, in line with estimated positive genetic correlations. Two loci were novel for OUD, one for BD and one for MD. Three OUD risk loci were shared with more than one psychiatric disorder, at DRD2 on chromosome 11 (BD and MD), at FURIN on chromosome 15 (SCZ, BD and MD) and at the major histocompatibility complex region (SCZ and MD). Our findings provide new insights into the shared genetic architecture between OUD and SCZ, BD and MD, indicating a complex genetic relationship, suggesting overlapping neurobiological pathways.
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Affiliation(s)
- Børge Holen
- NORMENT, Institute of Clinical Medicine, Division of Mental Health and Addiction, Oslo University Hospital, University of Oslo, Oslo, Norway
| | - Alexey A Shadrin
- NORMENT, Institute of Clinical Medicine, Division of Mental Health and Addiction, Oslo University Hospital, University of Oslo, Oslo, Norway
| | - Romain Icick
- NORMENT, Institute of Clinical Medicine, Division of Mental Health and Addiction, Oslo University Hospital, University of Oslo, Oslo, Norway
- INSERM UMR-S1144, Paris University, Paris, France
| | - Tahir T Filiz
- NORMENT, Institute of Clinical Medicine, Division of Mental Health and Addiction, Oslo University Hospital, University of Oslo, Oslo, Norway
| | - Guy Hindley
- NORMENT, Institute of Clinical Medicine, Division of Mental Health and Addiction, Oslo University Hospital, University of Oslo, Oslo, Norway
| | - Linn Rødevand
- NORMENT, Institute of Clinical Medicine, Division of Mental Health and Addiction, Oslo University Hospital, University of Oslo, Oslo, Norway
| | - Kevin S O'Connell
- NORMENT, Institute of Clinical Medicine, Division of Mental Health and Addiction, Oslo University Hospital, University of Oslo, Oslo, Norway
| | - Espen Hagen
- NORMENT, Institute of Clinical Medicine, Division of Mental Health and Addiction, Oslo University Hospital, University of Oslo, Oslo, Norway
| | - Oleksandr Frei
- NORMENT, Institute of Clinical Medicine, Division of Mental Health and Addiction, Oslo University Hospital, University of Oslo, Oslo, Norway
| | - Shahram Bahrami
- NORMENT, Institute of Clinical Medicine, Division of Mental Health and Addiction, Oslo University Hospital, University of Oslo, Oslo, Norway
| | - Weiqiu Cheng
- NORMENT, Institute of Clinical Medicine, Division of Mental Health and Addiction, Oslo University Hospital, University of Oslo, Oslo, Norway
| | - Nadine Parker
- NORMENT, Institute of Clinical Medicine, Division of Mental Health and Addiction, Oslo University Hospital, University of Oslo, Oslo, Norway
| | - Markos Tesfaye
- NORMENT, Institute of Clinical Medicine, Division of Mental Health and Addiction, Oslo University Hospital, University of Oslo, Oslo, Norway
| | - Piotr Jahołkowski
- NORMENT, Institute of Clinical Medicine, Division of Mental Health and Addiction, Oslo University Hospital, University of Oslo, Oslo, Norway
| | - Naz Karadag
- NORMENT, Institute of Clinical Medicine, Division of Mental Health and Addiction, Oslo University Hospital, University of Oslo, Oslo, Norway
| | - Anders M Dale
- Department of Cognitive Science, University of California San Diego, La Jolla, California, USA
- Department of Radiology, University of California San Diego, La Jolla, California, USA
- Multimodal Imaging Laboratory, University of California San Diego, La Jolla, California, USA
- Department of Psychiatry, University of California San Diego, La Jolla, California, USA
- Department of Neurosciences, University of California San Diego, La Jolla, California, USA
| | - Srdjan Djurovic
- Department of Medical Genetics, Oslo University Hospital, Oslo, Norway
- NORMENT, Department of Clinical Science, University of Bergen, Bergen, Norway
| | - Olav B Smeland
- NORMENT, Institute of Clinical Medicine, Division of Mental Health and Addiction, Oslo University Hospital, University of Oslo, Oslo, Norway
| | - Ole A Andreassen
- NORMENT, Institute of Clinical Medicine, Division of Mental Health and Addiction, Oslo University Hospital, University of Oslo, Oslo, Norway
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Uhl GR. Selecting the appropriate hurdles and endpoints for pentilludin, a novel antiaddiction pharmacotherapeutic targeting the receptor type protein tyrosine phosphatase D. Front Psychiatry 2023; 14:1031283. [PMID: 37139308 PMCID: PMC10149857 DOI: 10.3389/fpsyt.2023.1031283] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/29/2022] [Accepted: 01/30/2023] [Indexed: 05/05/2023] Open
Abstract
Substance use disorders provide challenges for development of effective medications. Use of abused substances is likely initiated, sustained and "quit" by complex brain and pharmacological mechanisms that have both genetic and environmental determinants. Medical utilities of prescribed stimulants and opioids provide complex challenges for prevention: how can we minimize their contribution to substance use disorders while retaining medical benefits for pain, restless leg syndrome, attention deficit hyperactivity disorder, narcolepsy and other indications. Data required to support assessments of reduced abuse liability and resulting regulatory scheduling differs from information required to support licensing of novel prophylactic or therapeutic anti-addiction medications, adding further complexity and challenges. I describe some of these challenges in the context of our current efforts to develop pentilludin as a novel anti-addiction therapeutic for a target that is strongly supported by human and mouse genetic and pharmacologic studies, the receptor type protein tyrosine phosphatase D (PTPRD).
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Affiliation(s)
- George R. Uhl
- Departments of Neurology and Pharmacology, University of Maryland School of Medicine, Neurology Service, VA Maryland Healthcare System, Baltimore, MD, United States
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States
- *Correspondence: George R. Uhl
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5
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Bogdan R, Hatoum AS, Johnson EC, Agrawal A. The Genetically Informed Neurobiology of Addiction (GINA) model. Nat Rev Neurosci 2023; 24:40-57. [PMID: 36446900 PMCID: PMC10041646 DOI: 10.1038/s41583-022-00656-8] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/19/2022] [Indexed: 11/30/2022]
Abstract
Addictions are heritable and unfold dynamically across the lifespan. One prominent neurobiological theory proposes that substance-induced changes in neural circuitry promote the progression of addiction. Genome-wide association studies have begun to characterize the polygenic architecture undergirding addiction liability and revealed that genetic loci associated with risk can be divided into those associated with a general broad-spectrum liability to addiction and those associated with drug-specific addiction risk. In this Perspective, we integrate these genomic findings with our current understanding of the neurobiology of addiction to propose a new Genetically Informed Neurobiology of Addiction (GINA) model.
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Affiliation(s)
- Ryan Bogdan
- Department of Psychological and Brain Sciences, Washington University in St. Louis, St. Louis, MO, USA.
| | - Alexander S Hatoum
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
| | - Emma C Johnson
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
| | - Arpana Agrawal
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA.
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6
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Freda PJ, Kranzler HR, Moore JH. Novel digital approaches to the assessment of problematic opioid use. BioData Min 2022; 15:14. [PMID: 35840990 PMCID: PMC9284824 DOI: 10.1186/s13040-022-00301-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2021] [Accepted: 06/30/2022] [Indexed: 11/16/2022] Open
Abstract
The opioid epidemic continues to contribute to loss of life through overdose and significant social and economic burdens. Many individuals who develop problematic opioid use (POU) do so after being exposed to prescribed opioid analgesics. Therefore, it is important to accurately identify and classify risk factors for POU. In this review, we discuss the etiology of POU and highlight novel approaches to identifying its risk factors. These approaches include the application of polygenic risk scores (PRS) and diverse machine learning (ML) algorithms used in tandem with data from electronic health records (EHR), clinical notes, patient demographics, and digital footprints. The implementation and synergy of these types of data and approaches can greatly assist in reducing the incidence of POU and opioid-related mortality by increasing the knowledge base of patient-related risk factors, which can help to improve prescribing practices for opioid analgesics.
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Affiliation(s)
- Philip J Freda
- Cedars-Sinai Medical Center, Department of Computational Biomedicine, 700 N. San Vicente Blvd., Pacific Design Center Suite G540, West Hollywood, CA, 90069, USA.
| | - Henry R Kranzler
- University of Pennsylvania, Center for Studies of Addiction, 3535 Market St., Suite 500 and Crescenz VAMC, 3800 Woodland Ave., Philadelphia, PA, 19104, USA
| | - Jason H Moore
- Cedars-Sinai Medical Center, Department of Computational Biomedicine, 700 N. San Vicente Blvd., Pacific Design Center Suite G540, West Hollywood, CA, 90069, USA
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7
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Strong and weak cross-inheritance of substance use disorders in a nationally representative sample. Mol Psychiatry 2022; 27:1742-1753. [PMID: 34759357 PMCID: PMC9085976 DOI: 10.1038/s41380-021-01370-0] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/05/2021] [Revised: 10/18/2021] [Accepted: 10/19/2021] [Indexed: 12/21/2022]
Abstract
Substance use disorders (SUDs) are moderately to highly heritable and are in part cross-transmitted genetically, as observed in twin and family studies. We performed exome-focused genotyping to examine the cross-transmission of four SUDs: alcohol use disorder (AUD, n = 4487); nicotine use disorder (NUD, n = 4394); cannabis use disorder (CUD, n = 954); and nonmedical prescription opioid use disorder (NMPOUD, n = 346) within a large nationally representative sample (n = 36,309), the National Epidemiologic Survey on Alcohol and Related Conditions-III (NESARC-III). All diagnoses were based on in-person structured psychiatric interview (AUDADIS-5). SUD cases were compared alone and together to 3959 "super controls" who had neither a SUD nor a psychiatric disorder using an exome-focused array assaying 363,496 SNPs, yielding a representative view of within-disorder and cross-disorder genetic influences on SUDs. The 29 top susceptibility genes for one or more SUDs overlapped highly with genes previously implicated by GWAS of SUD. Polygenic scores (PGS) were computed within the European ancestry (EA) component of the sample (n = 12,505) using summary statistics from each of four clinically distinct SUDs compared to the 3959 "super controls" but then used for two distinctly different purposes: to predict SUD severity (mild, moderate, or severe) and to predict each of the other 3 SUDs. Our findings based on PGS highlight shared and unshared genetic contributions to the pathogenesis of SUDs, confirming the strong cross-inheritance of AUD and NUD as well as the distinctiveness of inheritance of opioid use disorder.
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8
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Henderson IM, Zeng F, Bhuiyan NH, Luo D, Martinez M, Smoake J, Bi F, Perera C, Johnson D, Prisinzano TE, Wang W, Uhl GR. Structure-activity studies of PTPRD phosphatase inhibitors identify a 7-cyclopentymethoxy illudalic acid analog candidate for development. Biochem Pharmacol 2022; 195:114868. [PMID: 34863978 PMCID: PMC9248268 DOI: 10.1016/j.bcp.2021.114868] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2021] [Revised: 11/27/2021] [Accepted: 11/30/2021] [Indexed: 12/30/2022]
Abstract
Interest in development of potent, selective inhibitors of the phosphatase from the receptor type protein tyrosine phosphatase PTPRD as antiaddiction agents is supported by human genetics, mouse models and studies of our lead compound PTPRD phosphatase inhibitor, 7-butoxy illudalic acid analog 1 (7-BIA). We now report structure-activity relationships for almost 70 7-BIA-related compounds and results that nominate a 7- cyclopentyl methoxy analog as a candidate for further development. While efforts to design 7-BIA analogs with substitutions for other parts failed to yield potent inhibitors of PTPRD's phosphatase, ten 7-position substituted analogs displayed greater potency at PTPRD than 7-BIA. Several were more selective for PTPRD vs the receptor type protein tyrosine phosphatases S, F and J or the nonreceptor type protein tyrosine phosphatase N1 (PTPRS, PTPRF, PTPRJ or PTPN1/PTP1B), phosphatases at which 7-BIA displays activity. In silico studies aided design of novel analogs. A 7-position cyclopentyl methoxy substituted 7-BIA analog termed NHB1109 displayed 600-700 nM potencies in inhibiting PTPRD and PTPRS, improved selectivity vs PTPRS, PTPRF, PTPRJ or PTPN1/PTP1B phosphatases, no substantial potency at other protein tyrosine phosphatases screened, no significant potency at any of the targets of clinically-useful drugs identified in EUROFINS screens and significant oral bioavailability. Oral doses up to 200 mg/kg were well tolerated by mice, though higher doses resulted in reduced weight and apparent ileus without clear organ histopathology. NHB1109 provides a good candidate to advance to in vivo studies in addiction paradigms and toward human use to reduce reward from addictive substances.
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Affiliation(s)
- Ian M Henderson
- Biomedical Research Institute of New Mexico, Albuquerque, NM, United States; New Mexico VA Healthcare System, Albuquerque, NM, United States
| | - Fanxun Zeng
- College of Pharmacy, University of Arizona, Tucson, AZ, United States
| | - Nazmul H Bhuiyan
- College of Pharmacy, University of Kentucky, Lexington, KY, United States
| | - Dan Luo
- College of Pharmacy, University of Kentucky, Lexington, KY, United States
| | - Maria Martinez
- Biomedical Research Institute of New Mexico, Albuquerque, NM, United States; New Mexico VA Healthcare System, Albuquerque, NM, United States
| | - Jane Smoake
- Biomedical Research Institute of New Mexico, Albuquerque, NM, United States; New Mexico VA Healthcare System, Albuquerque, NM, United States
| | - Fangchao Bi
- College of Pharmacy, University of Arizona, Tucson, AZ, United States
| | | | | | | | - Wei Wang
- College of Pharmacy, University of Arizona, Tucson, AZ, United States.
| | - George R Uhl
- Biomedical Research Institute of New Mexico, Albuquerque, NM, United States; New Mexico VA Healthcare System, Albuquerque, NM, United States; Departments of Neurology, Neuroscience and Molecular Genetics and Microbiology, University of New Mexico, Albuquerque, NM, United States; Departments of Neurology and Pharmacology, University of Maryland School of Medicine, Baltimore, MD, United States; VA Maryland Healthcare System, Baltimore, MD, United States.
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Genomic and Personalized Medicine Approaches for Substance Use Disorders (SUDs) Looking at Genome-Wide Association Studies. Biomedicines 2021; 9:biomedicines9121799. [PMID: 34944615 PMCID: PMC8698472 DOI: 10.3390/biomedicines9121799] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2021] [Revised: 11/23/2021] [Accepted: 11/25/2021] [Indexed: 12/19/2022] Open
Abstract
Drug addiction, or substance use disorder (SUD), is a chronic, relapsing disorder in which compulsive drug-seeking and drug-taking behaviour persist despite serious negative consequences. Drug abuse represents a problem that deserves great attention from a social point of view, and focuses on the importance of genetic studies to help in understanding the genetic basis of addiction and its medical treatment. Despite the complexity of drug addiction disorders, and the high number of environmental variables playing a role in the onset, recurrence, and duration of the symptoms, several studies have highlighted the non-negligible role of genetics, as demonstrated by heritability and genome-wide association studies. A correlation between the relative risk of addiction to specific substances and heritability has been recently observed, suggesting that neurobiological mechanisms may be, at least in part, inherited. All these observations point towards a scenario where the core neurobiological factors of addiction, involving the reward system, impulsivity, compulsivity, stress, and anxiety response, are transmitted, and therefore, genes and mutations underlying their variation might be detected. In the last few years, the development of new and more efficient sequencing technologies has paved the way for large-scale studies in searching for genetic and epigenetic factors affecting drug addiction disorders and their treatments. These studies have been crucial to pinpoint single nucleotide polymorphisms (SNPs) in genes that affect the reaction to medical treatments. This is critically important to identify pharmacogenomic approaches for substance use disorder, such as OPRM1 SNPs and methadone required doses for maintenance treatment (MMT). Nevertheless, despite the promising results obtained by genome-wide association and pharmacogenomic studies, specific studies related to population genetics diversity are lacking, undermining the overall applicability of the preliminary findings, and thus potentially affecting the portability and the accuracy of the genetic studies. In this review, focusing on cannabis, cocaine and heroin use, we report the state-of-the-art genomics and pharmacogenomics of SUDs, and the possible future perspectives related to medical treatment response in people that ask for assistance in solving drug-related problems.
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Abstract
Substance use disorders (SUDs) are prevalent and result in an array of negative consequences. They are influenced by genetic factors (h2 = ~50%). Recent years have brought substantial progress in our understanding of the genetic etiology of SUDs and related traits. The present review covers the current state of the field for SUD genetics, including the epidemiology and genetic epidemiology of SUDs, findings from the first-generation of SUD genome-wide association studies (GWAS), cautions about translating GWAS findings to clinical settings, and suggested prioritizations for the next wave of SUD genetics efforts. Recent advances in SUD genetics have been facilitated by the assembly of large GWAS samples, and the development of state-of-the-art methods modeling the aggregate effect of genome-wide variation. These advances have confirmed that SUDs are highly polygenic with many variants across the genome conferring risk, the vast majority of which are of small effect. Downstream analyses have enabled finer resolution of the genetic architecture of SUDs and revealed insights into their genetic relationship with other psychiatric disorders. Recent efforts have also prioritized a closer examination of GWAS findings that have suggested non-uniform genetic influences across measures of substance use (e.g. consumption) and problematic use (e.g. SUD). Additional highlights from recent SUD GWAS include the robust confirmation of loci in alcohol metabolizing genes (e.g. ADH1B and ALDH2) affecting alcohol-related traits, and loci within the CHRNA5-CHRNA3-CHRNB4 gene cluster influencing nicotine-related traits. Similar successes are expected for cannabis, opioid, and cocaine use disorders as sample sizes approach those assembled for alcohol and nicotine.
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Affiliation(s)
- Joseph D. Deak
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA
- Department of Psychiatry, Veterans Affairs Connecticut Healthcare Center, West Haven, CT, USA
| | - Emma C. Johnson
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
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11
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Freda PJ, Moore JH, Kranzler HR. The phenomics and genetics of addictive and affective comorbidity in opioid use disorder. Drug Alcohol Depend 2021; 221:108602. [PMID: 33652377 PMCID: PMC8059867 DOI: 10.1016/j.drugalcdep.2021.108602] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/14/2020] [Revised: 01/25/2021] [Accepted: 01/26/2021] [Indexed: 12/21/2022]
Abstract
Opioid use disorder (OUD) creates significant public health and economic burdens worldwide. Therefore, understanding the risk factors that lead to the development of OUD is fundamental to reducing both its prevalence and its impact. Significant sources of OUD risk include co-occurring lifetime and current diagnoses of both psychiatric disorders, primarily mood disorders, and other substance use disorders, and unique and shared genetic factors. Although there appears to be pleiotropy between OUD and both mood and substance use disorders, this aspect of OUD risk is poorly understood. In this review, we describe the prevalence and clinical significance of addictive and affective comorbidities as risk factors for OUD development as a basis for rational opioid prescribing and OUD treatment and to improve efforts to prevent the disorder. We also review the genetic variants that have been associated with OUD and other addictive and affective disorders to highlight targets for future study and risk assessment protocols.
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Affiliation(s)
- Philip J. Freda
- University of Pennsylvania, Biostatistics, Epidemiology, & Informatics, The Perelman School of Medicine, University of Pennsylvania A201 R…, Philadelphia, Pennsylvania 19104, United States
| | - Jason H. Moore
- Edward Rose Professor of Informatics, Director, Institute for Biomedical Informatics, Director, Division of Informatics, Department of Biostatistics, Epidemiology, & Informatics, Senior Associate Dean for Informatics, The Perelman School of Medicine, University of Pennsylvania, Contact Information: D202 Richards Building, 3700 Hamilton Walk, University of Pennsylvania, Philadelphia, PA 19104-6116
| | - Henry R. Kranzler
- Benjamin Rush Professor in Psychiatry, Department of Psychiatry, University of Pennsylvania, Treatment Research Center, 3535 Market Street, Suite 500, Philadelphia, PA 19104-6178
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Cigarette Smoking Behavior a Gateway to Opium Use Disorder: A Mendelian Randomization Analysis. Behav Genet 2021; 51:385-393. [PMID: 33710466 DOI: 10.1007/s10519-021-10052-0] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2020] [Accepted: 02/16/2021] [Indexed: 10/21/2022]
Abstract
Gateway hypothesis presumes that using a psychotropic drug can increase the probability of using another drug. The study was to assess whether cigarette smoking is a gateway drug for subsequent opium use. Mendelian randomization (MR) analysis was applied to test and estimate the size of causal effect of cigarette smoking on opium use. The CHRNA3 rs1051730 polymorphism was used as an instrumental variable. A population-based case control study in the setting of Fasa Cohort Study was carried out using 477 cases and 531 controls based on their opium use status at the baseline of cohort study. The logistic two stage estimator method was applied. The Number of cigarettes smoked per day was associated with opium use (OR 1.17, 95% CI 1.15-1.19). In the MR analysis, rs1051730 T alleles were associated with increased risk of opium use among ever smokers (OR 5.73, 95% CI 1.72-19.07) however there found no evidence of association among never smokers. In instrumental variable analysis, showed that on average smoking every 1 more cigarette per day increases the odds of opium use by 1.17 (OR 1.17, 95%CI:1.14-1.19). The MR analysis found a positive finding on the relationship between cigarette smoking and opium use which supports the gateway hypothesis. It adds new information to the gateway theory regarding the relation of cigarette smoking and drug use, and increases our understanding of the importance of tobacco control for prevention of opium addiction.
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Vorspan F, Marie-Claire C, Bellivier F, Bloch V. Biomarkers to predict staging and treatment response in opioid dependence: A narrative review. Drug Dev Res 2021; 82:668-677. [PMID: 33416203 DOI: 10.1002/ddr.21789] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2020] [Revised: 12/17/2020] [Accepted: 12/23/2020] [Indexed: 12/25/2022]
Abstract
Opioid use disorder is a devastating disorder with a high burden in terms of overdose mortality, with an urgent need for more personalized prevention or therapeutic interventions. For this purpose, the description and validation of biological measures of staging or treatment response is a highly active research field. We conducted a narrative review on the pathophysiology of opioid use disorder to propose staging of the disease and search for research studies proposing or demonstrating the predictive value of biomarkers. We propose a IV stage description of opioid use disorder, from (I) vulnerability stage to (II) disease progression, (III) constituted opioid dependence and were several type of treatments can be applied, to the reach a (IV) modified health state. We classified biomarkers studies according to the stage of the disorder they were intended to predict, and to the three categories of methods they used: anatomical and functional aspects of the brain, genetic/transcriptomic/epigenetic studies, and lastly biomarkers of systemic modifications associated with opioid use disorder, especially regarding the immune system. Most studies predicting Stage III that we reviewed collected data from small samples sizes and were cross-sectional association studies comparing opioid dependent patients and control groups. Pharmacogenetic biomarkers are proposed to predict treatment response. Future research should now emphasize prospective studies, replication in independent samples, and predictive value calculation of each biomarker. The most promising results are multimodal evaluations to be able to measure the state of the brain reward system in living individuals.
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Affiliation(s)
- Florence Vorspan
- Optimisation Thérapeutique en Neuropsychopharmacologie, Université de Paris, INSERM UMRS 1144, Paris, France.,APHP, NORD, Département de Psychiatrie et de Médecine Addictologique, Hôpital Fernand Widal, Paris, France
| | - Cynthia Marie-Claire
- APHP, NORD, Département de Psychiatrie et de Médecine Addictologique, Hôpital Fernand Widal, Paris, France
| | - Frank Bellivier
- Optimisation Thérapeutique en Neuropsychopharmacologie, Université de Paris, INSERM UMRS 1144, Paris, France.,APHP, NORD, Département de Psychiatrie et de Médecine Addictologique, Hôpital Fernand Widal, Paris, France
| | - Vanessa Bloch
- APHP, NORD, Département de Psychiatrie et de Médecine Addictologique, Hôpital Fernand Widal, Paris, France.,APHP, NORD, Service de Pharmacie, Hôpital Fernand Widal, Paris, France
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14
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Bubier JA, He H, Philip VM, Roy T, Hernandez CM, Bernat R, Donohue KD, O'Hara BF, Chesler EJ. Genetic variation regulates opioid-induced respiratory depression in mice. Sci Rep 2020; 10:14970. [PMID: 32917924 PMCID: PMC7486296 DOI: 10.1038/s41598-020-71804-2] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2020] [Accepted: 08/11/2020] [Indexed: 12/14/2022] Open
Abstract
In the U.S., opioid prescription for treatment of pain nearly quadrupled from 1999 to 2014. The diversion and misuse of prescription opioids along with increased use of drugs like heroin and fentanyl, has led to an epidemic in addiction and overdose deaths. The most common cause of opioid overdose and death is opioid-induced respiratory depression (OIRD), a life-threatening depression in respiratory rate thought to be caused by stimulation of opioid receptors in the inspiratory-generating regions of the brain. Studies in mice have revealed that variation in opiate lethality is associated with strain differences, suggesting that sensitivity to OIRD is genetically determined. We first tested the hypothesis that genetic variation in inbred strains of mice influences the innate variability in opioid-induced responses in respiratory depression, recovery time and survival time. Using the founders of the advanced, high-diversity mouse population, the Diversity Outbred (DO), we found substantial sex and genetic effects on respiratory sensitivity and opiate lethality. We used DO mice treated with morphine to map quantitative trait loci for respiratory depression, recovery time and survival time. Trait mapping and integrative functional genomic analysis in GeneWeaver has allowed us to implicate Galnt11, an N-acetylgalactosaminyltransferase, as a gene that regulates OIRD.
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Affiliation(s)
| | - Hao He
- The Jackson Laboratory, Bar Harbor, ME, 04605, USA
| | | | - Tyler Roy
- The Jackson Laboratory, Bar Harbor, ME, 04605, USA
| | | | | | - Kevin D Donohue
- Signal Solutions, LLC, Lexington, KY, USA
- Electrical and Computer Engineering Department, University of Kentucky, Lexington, KY, USA
| | - Bruce F O'Hara
- Signal Solutions, LLC, Lexington, KY, USA
- Department of Biology, University of Kentucky, Lexington, KY, USA
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Abstract
PURPOSE OF REVIEW To summarize the current literature regarding comorbid schizophrenia and opioid use disorder (OUD). RECENT FINDINGS Epidemiological evidence is unclear on whether patients with schizophrenia have a higher rate of OUD. Patients with OUD have been shown to have a higher risk of developing schizophrenia. However, it is clear that patients with both schizophrenia and OUD are less likely to receive standard of care including medication-assisted treatment (MAT) for opiate use disorder and have worse outcomes compared with patients with schizophrenia who do not abuse opioids. OUD significantly increases the risk of converting patients from prodromal schizophrenia states to schizophrenia or schizoaffective disorder. Shared pathophysiology involving the kappa opioid receptor may help explain the relationships between schizophrenia and OUD. Second-generation antipsychotics, long-acting injectables, and MAT for OUD should be utilized in a dual-diagnosis and treatment approach for patients with schizophrenia and OUD. SUMMARY Exploration into the relationship between schizophrenia and opiate abuse is still in its infancy and requires a significant amount of future attention to clarify the epidemiology of this comorbidity, neurobiological relationship, shared genetic underpinnings, and possible treatments for both the psychotic symptoms and substance abuse.
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16
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Brick LA, Micalizzi L, Knopik VS, Palmer RHC. Characterization of DSM-IV Opioid Dependence Among Individuals of European Ancestry. J Stud Alcohol Drugs 2020. [PMID: 31250797 DOI: 10.15288/jsad.2019.80.319] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022] Open
Abstract
OBJECTIVE The opioid epidemic in the United States has led to unprecedented increases in morbidity and mortality, posing a serious public health crisis. Although twin and family studies, as well as genome-wide association studies (GWAS), all identify significant genetic factors contributing to opioid dependence, no studies to date have estimated marker-based heritability estimates of opioid dependence. The goal of the current study was to use a large, genetically imputed, case/control sample of 4,064 participants (after quality control and imputation) with genome-wide data to estimate the unbiased heritability tagged by single nucleotide polymorphisms (SNPs). METHOD Study data were part of the Genome-wide Study of Heroin Dependence obtained via the Database for Genotypes and Phenotypes (dbGaP). Genomic-Relatedness-Matrix Restricted Maximum Likelihood with adjustment for minor allele frequency (MAF) and linkage disequilibrium (LD; GREML-LDMS) was used to determine the variation in opioid dependence attributable to common SNPs from imputed data. Mixed linear models were used in an exploratory GWAS to assess effects of single SNPs. RESULTS At least 45% of the variance in opioid dependence according to the Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition, was attributable to common SNPs, after stratifying to account for differences in MAF and LD across the genome. Most of the genetic variance was tagged by SNPs in the 1%-9% MAF range and in low LD with other SNPs in the region. Two markers in LOC101927293 survived multiple-testing correction (i.e., q value < .05). CONCLUSIONS Nearly half of the variation in opioid dependence can be attributed to common SNPs. Most of this variation is due to rare variants in low LD with other markers in the region.
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Affiliation(s)
- Leslie A Brick
- Department of Psychiatry and Human Behavior, Alpert Medical School, Brown University, Providence, Rhode Island
| | - Lauren Micalizzi
- Center for Alcohol and Addiction Studies, Department of Behavioral and Social Sciences, School of Public Health, Brown University, Providence, Rhode Island
| | - Valerie S Knopik
- Department of Human Development and Family Studies, Purdue University, West Lafayette, Indiana
| | - Rohan H C Palmer
- Behavioral Genetics of Addiction Laboratory, Department of Psychology, Emory University, Atlanta, Georgia
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Balyan R, Hahn D, Huang H, Chidambaran V. Pharmacokinetic and pharmacodynamic considerations in developing a response to the opioid epidemic. Expert Opin Drug Metab Toxicol 2020; 16:125-141. [PMID: 31976778 PMCID: PMC7199505 DOI: 10.1080/17425255.2020.1721458] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2019] [Accepted: 01/22/2020] [Indexed: 12/14/2022]
Abstract
Introduction: Opioids continue to be used widely for pain management. Widespread availability of prescription opioids has led to opioid abuse and addiction. Besides steps to reduce inappropriate prescribing, exploiting opioid pharmacology to make their use safer is important.Areas covered: This article discusses the pathology and factors underlying opioid abuse. Pharmacokinetic and pharmacodynamic properties affecting abuse liability of commonly abused opioids have been highlighted. These properties inform the development of ideal abuse deterrent products. Mechanisms and cost-effectiveness of available abuse deterrent products have been reviewed in addition to the pharmacology of medications used to treat addiction.Expert opinion: The opioid crisis presents unique challenges to managing pain effectively given the limited repertoire of strong analgesics. The 5-point strategy to combat the opioid crisis calls for better preventive, treatment, and recovery services, better data, better pain management, better availability of overdose-reversing drugs and better research. There is an urgent need to decrease the cost of abuse deterrent opioids which deters their cost-effectiveness. In addition, discovery of novel analgesics, further insight into central and peripheral pain mechanisms, understanding genomic risk profiles for efficient targeted efforts, and education will be key to winning this fight against the opioid crisis.
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Affiliation(s)
- Rajiv Balyan
- Department of Anesthesia, Cincinnati Children’s Hospital Medical Center, Cincinnati, USA
- Division of Clinical Pharmacology, Cincinnati Children’s Hospital Medical Center, Cincinnati, USA
| | - David Hahn
- Division of Clinical Pharmacology, Cincinnati Children’s Hospital Medical Center, Cincinnati, USA
| | - Henry Huang
- Department of Anesthesia, Cincinnati Children’s Hospital Medical Center, Cincinnati, USA
| | - Vidya Chidambaran
- Department of Anesthesia, Cincinnati Children’s Hospital Medical Center, Cincinnati, USA
- Department of Pediatrics, College of Medicine, University of Cincinnati, Cincinnati, USA
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18
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Alblooshi H, Al Safar H, El Kashef A, Al Ghaferi H, Shawky M, Hulse GK, Tay GK. Stratified analyses of genome wide association study data reveal haplotypes for a candidate gene on chromosome 2 (KIAA1211L) is associated with opioid use in patients of Arabian descent. BMC Psychiatry 2020; 20:41. [PMID: 32005204 PMCID: PMC6995052 DOI: 10.1186/s12888-019-2425-8] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/13/2019] [Accepted: 12/30/2019] [Indexed: 01/19/2023] Open
Abstract
BACKGROUND Genome Wide Association Studies (GWAS) have been conducted to identify genes and pathways involved in development of opioid use disorder. This study extends the first GWAS of substance use disorder (SUD) patients from the United Arab Emirates (UAE) by stratifying the study group based on opioid use, which is the most common substance of use in this cohort. METHODS The GWAS cohort consisted of 512 (262 case, 250 controls) male participants from the UAE. The samples were genotyped using the Illumina Omni5 Exome system. Data was stratified according to opioid use using PLINK. Haplotype analysis was conducted using Haploview 4.2. RESULTS Two main associations were identified in this study. Firstly, two SNPs on chromosome 7 were associated with opioid use disorder, rs118129027 (p-value = 1.23 × 10 - 8) and rs74477937 (p-value = 1.48 × 10 - 8). This has been reported in Alblooshi et al. (Am J Med Genet B Neuropsychiatr Genet 180(1):68-79, 2019). Secondly, haplotypes on chromosome 2 which mapped to the KIAA1211L locus were identified in association with opioid use. Five SNPs in high linkage disequilibrium (LD) (rs2280142, rs6542837, rs12712037, rs10175560, rs11900524) were arranged into haplotypes. Two haplotypes GAGCG and AGTTA were associated with opioid use disorders (p-value 3.26 × 10- 8 and 7.16 × 10- 7, respectively). CONCLUSION This is the first GWAS to identify candidate genes associated with opioid use disorder in participants from the UAE. The lack of other genetic data of Arabian descent opioid use patients has hindered replication of the findings. Nevertheless, the outcomes implicate new pathways in opioid use disorder that requires further research to assess the role of the identified genes in the development of opioid use disorder.
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Affiliation(s)
- Hiba Alblooshi
- 0000 0004 1936 7910grid.1012.2Division of Psychiatry, the University of Western Australia, Crawley, Western Australia Australia ,0000 0004 1936 7910grid.1012.2School of Human Science, The University of Western Australia, Crawley, Western Australia Australia ,0000 0001 2193 6666grid.43519.3aCollege of Medicine and Health Science, The United Arab Emirates University, Al Ain, United Arab Emirates
| | - Habiba Al Safar
- 0000 0004 1762 9729grid.440568.bCenter of Biotechnology, Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates ,0000 0004 1762 9729grid.440568.bDepartment of Biomedical Engineering, Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates
| | - Ahmed El Kashef
- National Rehabilitation Center, Abu Dhabi, United Arab Emirates
| | | | - Mansour Shawky
- National Rehabilitation Center, Abu Dhabi, United Arab Emirates
| | - Gary K. Hulse
- 0000 0004 1936 7910grid.1012.2Division of Psychiatry, the University of Western Australia, Crawley, Western Australia Australia ,0000 0004 0389 4302grid.1038.aSchool of Health and Medical Science, Edith Cowan University, Joondalup, Western Australia Australia
| | - Guan K. Tay
- 0000 0004 1936 7910grid.1012.2Division of Psychiatry, the University of Western Australia, Crawley, Western Australia Australia ,0000 0004 1762 9729grid.440568.bCenter of Biotechnology, Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates ,0000 0004 1762 9729grid.440568.bDepartment of Biomedical Engineering, Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates ,0000 0004 0389 4302grid.1038.aSchool of Health and Medical Science, Edith Cowan University, Joondalup, Western Australia Australia
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19
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Genome-Wide Association Study of Opioid Cessation. J Clin Med 2020; 9:jcm9010180. [PMID: 31936517 PMCID: PMC7019731 DOI: 10.3390/jcm9010180] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2019] [Revised: 12/20/2019] [Accepted: 01/03/2020] [Indexed: 01/10/2023] Open
Abstract
The United States is experiencing an epidemic of opioid use disorder (OUD) and overdose-related deaths. However, the genetic basis for the ability to discontinue opioid use has not been investigated. We performed a genome-wide association study (GWAS) of opioid cessation (defined as abstinence from illicit opioids for >1 year or <6 months before the interview date) in 1130 African American (AA) and 2919 European ancestry (EA) participants recruited for genetic studies of substance use disorders and who met lifetime Diagnostic and Statistical Manual of Mental Disorders, 5th Edition (DSM-5) criteria for OUD. Association tests performed separately within each ethnic group were combined by meta-analysis with results obtained from the Comorbidity and Trauma Study. Although there were no genome-wide significant associations, we found suggestive associations with nine independent loci, including three which are biologically relevant: rs4740988 in PTPRD (pAA + EA = 2.24 × 10−6), rs36098404 in MYOM2 (pEA = 2.24 × 10−6), and rs592026 in SNAP25-AS1 (pEA = 6.53 × 10−6). Significant pathways identified in persons of European ancestry (EA) are related to vitamin D metabolism (p = 3.79 × 10−2) and fibroblast growth factor (FGF) signaling (p = 2.39 × 10−2). UK Biobank traits including smoking and drinking cessation and chronic back pain were significantly associated with opioid cessation using GWAS-derived polygenic risk scores. These results provide evidence for genetic influences on opioid cessation, suggest genetic overlap with other relevant traits, and may indicate potential novel therapeutic targets for OUD.
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20
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Rentsch CT, Edelman EJ, Justice AC, Marshall BDL, Xu K, Smith AH, Crystal S, Gaither JR, Gordon AJ, Smith RV, Kember RL, Polimanti R, Gelernter J, Fiellin DA, Tate JP, Kranzler HR, Becker WC. Patterns and Correlates of Prescription Opioid Receipt Among US Veterans: A National, 18-Year Observational Cohort Study. AIDS Behav 2019; 23:3340-3349. [PMID: 31317364 PMCID: PMC7344341 DOI: 10.1007/s10461-019-02608-3] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
A better understanding of predisposition to transition to high-dose, long-term opioid therapy after initial opioid receipt could facilitate efforts to prevent opioid use disorder (OUD). We extracted data on 69,268 patients in the Veterans Aging Cohort Study who received any opioid prescription between 1998 and 2015. Using latent growth mixture modelling, we identified four distinguishable dose trajectories: low (53%), moderate (29%), escalating (13%), and rapidly escalating (5%). Compared to low dose trajectory, those in the rapidly escalating dose trajectory were proportionately more European-American (59% rapidly escalating vs. 38% low); had a higher prevalence of HIV (31% vs. 29%) and hepatitis C (18% vs. 12%); and during follow-up, had a higher incidence of OUD diagnoses (13% vs. 3%); were hospitalised more often [18.1/100 person-years (PYs) vs. 12.5/100 PY]; and had higher all-cause mortality (4.7/100 PY vs. 1.8/100 PY, all p < 0.0001). These measures can potentially be used in future prevention research, including genetic discovery.
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Affiliation(s)
- Christopher T Rentsch
- Faculty of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, Keppel Street, London, WC1E 7HT, UK.
- Veterans Aging Cohort Study Coordinating Center, VA Connecticut Healthcare System, West Haven, CT, 06516, USA.
| | - E Jennifer Edelman
- Internal Medicine, Yale School of Medicine, New Haven, CT, 06515, USA
- Center for Interdisciplinary Research on AIDS, Yale School of Public Health, New Haven, CT, 06515, USA
| | - Amy C Justice
- Veterans Aging Cohort Study Coordinating Center, VA Connecticut Healthcare System, West Haven, CT, 06516, USA
- Internal Medicine, Yale School of Medicine, New Haven, CT, 06515, USA
- Center for Interdisciplinary Research on AIDS, Yale School of Public Health, New Haven, CT, 06515, USA
| | - Brandon D L Marshall
- Department of Epidemiology, Brown School of Public Health, Providence, RI, 02903, USA
| | - Ke Xu
- Department of Psychiatry, Yale School of Medicine and VA Connecticut Healthcare System, West Haven, CT, 06516, USA
| | - Andrew H Smith
- Department of Psychiatry, Yale School of Medicine and VA Connecticut Healthcare System, West Haven, CT, 06516, USA
| | - Stephen Crystal
- Institute for Health, Health Care Policy, and Aging Research, Rutgers University, New Brunswick, NJ, 08901, USA
| | - Julie R Gaither
- Yale Center for Medical Informatics, Yale School of Medicine, New Haven, CT, 06515, USA
- Pain Research, Informatics, Multi-morbidities and Education (PRIME) Center, VA Connecticut Healthcare System, West Haven, CT, 06516, USA
| | - Adam J Gordon
- VA COIN Informatics, Decision-Enhancement and Analytic Sciences Center, Salt Lake City VA Health Care System, University of Utah School of Medicine, Salt Lake City, UT, 84132, USA
| | - Rachel V Smith
- School of Nursing, University of Louisville, Louisville, KY, 40202, USA
| | - Rachel L Kember
- Department of Genetics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, 19104, USA
- Mental Illness Research, Education and Clinical Center, Crescenz Veterans Affairs Medical Center, Philadelphia, PA, 19104, USA
| | - Renato Polimanti
- Department of Psychiatry, Yale School of Medicine and VA Connecticut Healthcare System, West Haven, CT, 06516, USA
| | - Joel Gelernter
- Department of Psychiatry, Yale School of Medicine and VA Connecticut Healthcare System, West Haven, CT, 06516, USA
- Departments of Genetics and Neuroscience, Yale School of Medicine, New Haven, CT, 06515, USA
| | - David A Fiellin
- Internal Medicine, Yale School of Medicine, New Haven, CT, 06515, USA
- Center for Interdisciplinary Research on AIDS, Yale School of Public Health, New Haven, CT, 06515, USA
| | - Janet P Tate
- Veterans Aging Cohort Study Coordinating Center, VA Connecticut Healthcare System, West Haven, CT, 06516, USA
- Internal Medicine, Yale School of Medicine, New Haven, CT, 06515, USA
| | - Henry R Kranzler
- Mental Illness Research, Education and Clinical Center, Crescenz Veterans Affairs Medical Center, Philadelphia, PA, 19104, USA
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, 19104, USA
| | - William C Becker
- Internal Medicine, Yale School of Medicine, New Haven, CT, 06515, USA
- Pain Research, Informatics, Multi-morbidities and Education (PRIME) Center, VA Connecticut Healthcare System, West Haven, CT, 06516, USA
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21
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Uhl GR, Martinez MJ. PTPRD: neurobiology, genetics, and initial pharmacology of a pleiotropic contributor to brain phenotypes. Ann N Y Acad Sci 2019; 1451:112-129. [PMID: 30648269 PMCID: PMC6629525 DOI: 10.1111/nyas.14002] [Citation(s) in RCA: 50] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2018] [Revised: 11/12/2018] [Accepted: 12/19/2018] [Indexed: 12/12/2022]
Abstract
Receptor-type protein tyrosine phosphatase, receptor type D (PTPRD) has likely roles as a neuronal cell adhesion molecule and synaptic specifier. Interest in its neurobiology and genomics has been stimulated by results from human genetics and mouse models for phenotypes related to addiction, restless leg syndrome, neurofibrillary pathology in Alzheimer's disease, cognitive impairment/intellectual disability, mood lability, and obsessive-compulsive disorder. We review PTPRD's discovery, gene family, candidate homomeric and heteromeric binding partners, phosphatase activities, brain distribution, human genetic associations with nervous system phenotypes, and mouse model data relevant to these phenotypes. We discuss the recently reported discovery of the first small molecule inhibitor of PTPRD phosphatase, the identification of its addiction-related effects, and the implications of these findings for the PTPRD-associated brain phenotypes. In assembling PTPRD neurobiology, human genetics, and mouse genetic and pharmacological datasets, we provide a compelling picture of the roles played by PTPRD, its variation, and its potential as a target for novel therapeutics.
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Affiliation(s)
- George R Uhl
- Neurology and Research Services, New Mexico VA Healthcare System, Albuquerque, New Mexico.,Departments of Neurology, Neuroscience, Molecular Genetics and Microbiology, University of New Mexico, Albuquerque, New Mexico.,Biomedical Research Institute of New Mexico, Albuquerque, New Mexico.,Departments of Neurology, Neuroscience and Mental Health, Johns Hopkins Medical Institutions, Baltimore, Maryland
| | - Maria J Martinez
- Neurology and Research Services, New Mexico VA Healthcare System, Albuquerque, New Mexico.,Biomedical Research Institute of New Mexico, Albuquerque, New Mexico
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22
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Alblooshi H, Al Safar H, Fisher HF, Cordell HJ, El Kashef A, Al Ghaferi H, Shawky M, Reece S, Hulse GK, Tay GK. A case-control genome wide association study of substance use disorder (SUD) identifies novel variants on chromosome 7p14.1 in patients from the United Arab Emirates (UAE). Am J Med Genet B Neuropsychiatr Genet 2019; 180:68-79. [PMID: 30556296 DOI: 10.1002/ajmg.b.32708] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/26/2018] [Revised: 10/17/2018] [Accepted: 11/21/2018] [Indexed: 12/11/2022]
Abstract
Genome wide association studies (GWASs) have provided insights into the molecular basis of the disorder in different population. This study presents the first GWAS of substance use disorder (SUD) in patients from the United Arab Emirates (UAE). The aim was to identify genetic association(s) that may provide insights into the molecular basis of the disorder. The GWAS discovery cohort consisted of 512 (250 cases and 262 controls) male participants from the UAE. Controls with no prior history of SUD were available from the Emirates family registry. The replication cohort consisted of 520 (415 cases and 105 controls) Australian male Caucasian participants. The GWAS discovery samples were genotyped for 4.6 million single nucleotide polymorphism (SNP). The replication cohort was genotyped using TaqMan assay. The GWAS association analysis identified three potential SNPs rs118129027 (p-value = 6.24 × 10-8 ), rs74477937 (p-value = 8.56 × 10-8 ) and rs78707086 (p-value = 8.55 × 10-8 ) on ch7p14.1, that did not meet the GWAS significance threshold but were highly suggestive. In the replication cohort, the association of the three top SNPs did not reach statistical significance. In a meta-analysis of the discovery and the replication cohorts, there were no strengthen evidence for association of the three SNPs. The top identified rs118129027 overlaps with a regulatory factor (enhancer) region that targets three neighboring genes LOC105375237, LOC105375240, and YAE1D1. The YAE1D1, which represents a potential locus that is involved in regulating translation initiation pathway. Novel associations that require further confirmation were identified, suggesting a new insight to the genetic basis of SUD.
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Affiliation(s)
- Hiba Alblooshi
- School of Psychiatry and Clinical Neurosciences, The University of Western Australia, Crawley, Western Australia, Australia.,School of Human Science, The University of Western Australia, Crawley, Western Australia, Australia
| | - Habiba Al Safar
- Center of Biotechnology, Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates.,Department of Biomedical Engineering, Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates
| | - Holly F Fisher
- Institute of Genetic Medicine, Newcastle University, Newcastle Upon Tyne, United Kingdom
| | - Heather J Cordell
- Institute of Genetic Medicine, Newcastle University, Newcastle Upon Tyne, United Kingdom
| | - Ahmed El Kashef
- National Rehabilitation Center, Abu Dhabi, United Arab Emirates
| | | | - Mansour Shawky
- National Rehabilitation Center, Abu Dhabi, United Arab Emirates
| | - Stuart Reece
- School of Psychiatry and Clinical Neurosciences, The University of Western Australia, Crawley, Western Australia, Australia
| | - Gary K Hulse
- School of Psychiatry and Clinical Neurosciences, The University of Western Australia, Crawley, Western Australia, Australia.,School of Medical Science, Edith Cowan University, Joondalup, Western Australia, Australia
| | - Guan K Tay
- School of Psychiatry and Clinical Neurosciences, The University of Western Australia, Crawley, Western Australia, Australia.,Center of Biotechnology, Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates.,Department of Biomedical Engineering, Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates.,School of Medical Science, Edith Cowan University, Joondalup, Western Australia, Australia
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23
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Cocaine reward is reduced by decreased expression of receptor-type protein tyrosine phosphatase D (PTPRD) and by a novel PTPRD antagonist. Proc Natl Acad Sci U S A 2018; 115:11597-11602. [PMID: 30348770 DOI: 10.1073/pnas.1720446115] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022] Open
Abstract
Receptor-type protein tyrosine phosphatase D (PTPRD) is a neuronal cell-adhesion molecule/synaptic specifier that has been implicated in addiction vulnerability and stimulant reward by human genomewide association and mouse cocaine-conditioned place-preference data. However, there have been no reports of effects of reduced expression on cocaine self-administration. There have been no reports of PTPRD targeting by any small molecule. There are no data about behavioral effects of any PTPRD ligand. We now report (i) robust effects of heterozygous PTPRD KO on cocaine self-administration (These data substantially extend prior conditioned place-preference data and add to the rationale for PTPRD as a target for addiction therapeutics.); (ii) identification of 7-butoxy illudalic acid analog (7-BIA) as a small molecule that targets PTPRD and inhibits its phosphatase with some specificity; (iii) lack of toxicity when 7-BIA is administered to mice acutely or with repeated dosing; (iv) reduced cocaine-conditioned place preference when 7-BIA is administered before conditioning sessions; and (v) reductions in well-established cocaine self-administration when 7-BIA is administered before a session (in WT, not PTPRD heterozygous KOs). These results add to support for PTPRD as a target for medications to combat cocaine use disorders. 7-BIA provides a lead compound for addiction therapeutics.
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Abstract
Increased physician prescribing of opioids to treat chronic nonprogressive pain has been accompanied by an increase in opioid addiction. Twin studies of opioid addiction are consistent with an inherited component of risk, approximately 50%. Several genome-wide association study (GWAS) reports indicate that genetic risk for opioid addiction is conveyed by many alleles of small effect (odds ratios <1.5). These reports have detected alleles in potassium-ion-channel genes (KCNC1 and KCNG2) and in a glutamate receptor auxiliary protein (CNIH3). Additionally, a variant at the µ-opioid receptor gene (OPRM1), which regulates OPRM1 expression appears promising. In pharmacogenetics of opioid addictions, methadone dose may be regulated by variants in cytochrome P450 2B6 (CYP2B6), a methadone-metabolizing enzyme, and by a locus 300 kb 5' to OPRM1. A δ-opioid-receptor gene single-nucleotide polymorphism may predict treatment response to methadone versus buprenorphine. To achieve better progress, larger sample sizes are needed for GWAS research, including controls with chronic opioid exposure, but no addiction. Large clinical trials comparing effective pharmacotherapies for opioid addiction (naltrexone, methadone, and buprenorphine) are needed for pharmacogenetic progress.
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Affiliation(s)
- Wade Berrettini
- Karl E. Rickels Professor of Psychiatry, Perelman School of Medicine, University of Pennsylvania, USA
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25
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Crist RC, Reiner BC, Berrettini WH. A review of opioid addiction genetics. Curr Opin Psychol 2018; 27:31-35. [PMID: 30118972 DOI: 10.1016/j.copsyc.2018.07.014] [Citation(s) in RCA: 66] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2018] [Revised: 07/20/2018] [Accepted: 07/31/2018] [Indexed: 01/04/2023]
Abstract
Opioid use disorder (OUD) affects millions of people worldwide and the risk of developing the disorder has a significant genetic component according to twin and family studies. Identification of the genetic variants underlying this inherited risk has focused on two different methods: candidate gene studies and genome-wide association studies (GWAS). The most studied candidate genes have included the mu-opioid receptor (OPRM1), the delta-opioid receptor (OPRD1), the dopamine D2 receptor (DRD2), and brain-derived neurotrophic factor (BDNF). Variants in these genes have been associated with relatively small, but reproducible, effects on OUD risk. More recently, GWAS have identified potential associations with variants in KCNG2, KCNC1, CNIH3, APBB2, and RGMA. In total the genetic associations identified so far explain only a small portion of OUD risk. GWAS of OUD is still in the early stages when compared to studies of other psychiatric disorders, such as schizophrenia, which have found many relevant variants with small effect sizes only after large meta-analyses. Substantial increases in cohort sizes will likely be necessary in the OUD field to achieve similar results. In addition, it will be important for future studies of OUD to incorporate rare variants, epigenetics, and gene × environment interactions into models in order to better explain the observed heritability.
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Affiliation(s)
- Richard C Crist
- Center for Neurobiology and Behavior, Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
| | - Benjamin C Reiner
- Center for Neurobiology and Behavior, Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Wade H Berrettini
- Center for Neurobiology and Behavior, Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
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26
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Abstract
PURPOSE OF REVIEW With the advent of the genome-wide association study (GWAS), our understanding of the genetics of addiction has made significant strides forward. Here, we summarize genetic loci containing variants identified at genome-wide statistical significance (P < 5 × 10-8) and independently replicated, review evidence of functional or regulatory effects for GWAS-identified variants, and outline multi-omics approaches to enhance discovery and characterize addiction loci. RECENT FINDINGS Replicable GWAS findings span 11 genetic loci for smoking, eight loci for alcohol, and two loci for illicit drugs combined and include missense functional variants and noncoding variants with regulatory effects in human brain tissues traditionally viewed as addiction-relevant (e.g., prefrontal cortex [PFC]) and, more recently, tissues often overlooked (e.g., cerebellum). GWAS analyses have discovered several novel, replicable variants contributing to addiction. Using larger sample sizes from harmonized datasets and new approaches to integrate GWAS with multiple 'omics data across human brain tissues holds great promise to significantly advance our understanding of the biology underlying addiction.
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Affiliation(s)
- Dana B Hancock
- Behavioral and Urban Health Program, Behavioral Health and Criminal Justice Division, RTI International, 3040 East Cornwallis Road, P. O. Box 12194, Research Triangle Park, NC, 27709, USA.
| | - Christina A Markunas
- Behavioral and Urban Health Program, Behavioral Health and Criminal Justice Division, RTI International, 3040 East Cornwallis Road, P. O. Box 12194, Research Triangle Park, NC, 27709, USA
| | - Laura J Bierut
- Department of Psychiatry, Washington University, St. Louis, MO, USA
| | - Eric O Johnson
- Fellow Program and Behavioral Health and Criminal Justice Division, RTI International, Research Triangle Park, NC, USA
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27
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The Role of Cell Adhesion Molecule Genes Regulating Neuroplasticity in Addiction. Neural Plast 2018; 2018:9803764. [PMID: 29675039 PMCID: PMC5838467 DOI: 10.1155/2018/9803764] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2017] [Accepted: 12/10/2017] [Indexed: 01/06/2023] Open
Abstract
A variety of genetic approaches, including twin studies, linkage studies, and candidate gene studies, has established a firm genetic basis for addiction. However, there has been difficulty identifying the precise genes that underlie addiction liability using these approaches. This situation became especially clear in genome-wide association studies (GWAS) of addiction. Moreover, the results of GWAS brought into clarity many of the shortcomings of those early genetic approaches. GWAS studies stripped away those preconceived notions, examining genes that would not previously have been considered in the study of addiction, consequently creating a shift in our understanding. Most importantly, those studies implicated a class of genes that had not previously been considered in the study of addiction genetics: cell adhesion molecules (CAMs). Considering the well-documented evidence supporting a role for various CAMs in synaptic plasticity, axonal growth, and regeneration, it is not surprising that allelic variation in CAM genes might also play a role in addiction liability. This review focuses on the role of various cell adhesion molecules in neuroplasticity that might contribute to addictive processes and emphasizes the importance of ongoing research on CAM genes that have been implicated in addiction by GWAS.
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Yang L, Wu D, Chen J, Chen J, Qiu F, Li Y, Liu L, Cao Y, Yang B, Zhou Y, Lu J. A functional CNVR_3425.1 damping lincRNA FENDRR increases lifetime risk of lung cancer and COPD in Chinese. Carcinogenesis 2017; 39:347-359. [DOI: 10.1093/carcin/bgx149] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2017] [Accepted: 12/19/2017] [Indexed: 11/13/2022] Open
Affiliation(s)
- Lei Yang
- The State Key Lab of Respiratory Disease, The institute for Chemical Carcinogenesis, Collaborative Innovation Center for Environmental Toxicity, Guangzhou Medical University, Xinzao, Panyu District, Guangzhou, China
- The State Key Lab of Respiratory Disease, Guangzhou Institute of Respiratory Diseases, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Di Wu
- The State Key Lab of Respiratory Disease, The institute for Chemical Carcinogenesis, Collaborative Innovation Center for Environmental Toxicity, Guangzhou Medical University, Xinzao, Panyu District, Guangzhou, China
| | - Jinbin Chen
- The State Key Lab of Respiratory Disease, The institute for Chemical Carcinogenesis, Collaborative Innovation Center for Environmental Toxicity, Guangzhou Medical University, Xinzao, Panyu District, Guangzhou, China
| | - Jiansong Chen
- The State Key Lab of Respiratory Disease, The institute for Chemical Carcinogenesis, Collaborative Innovation Center for Environmental Toxicity, Guangzhou Medical University, Xinzao, Panyu District, Guangzhou, China
| | - Fuman Qiu
- The State Key Lab of Respiratory Disease, The institute for Chemical Carcinogenesis, Collaborative Innovation Center for Environmental Toxicity, Guangzhou Medical University, Xinzao, Panyu District, Guangzhou, China
| | - Yinyan Li
- The State Key Lab of Respiratory Disease, The institute for Chemical Carcinogenesis, Collaborative Innovation Center for Environmental Toxicity, Guangzhou Medical University, Xinzao, Panyu District, Guangzhou, China
| | - Li Liu
- The State Key Lab of Respiratory Disease, The institute for Chemical Carcinogenesis, Collaborative Innovation Center for Environmental Toxicity, Guangzhou Medical University, Xinzao, Panyu District, Guangzhou, China
| | - Yi Cao
- The State Key Lab of Respiratory Disease, The institute for Chemical Carcinogenesis, Collaborative Innovation Center for Environmental Toxicity, Guangzhou Medical University, Xinzao, Panyu District, Guangzhou, China
| | - Binyao Yang
- The State Key Lab of Respiratory Disease, The institute for Chemical Carcinogenesis, Collaborative Innovation Center for Environmental Toxicity, Guangzhou Medical University, Xinzao, Panyu District, Guangzhou, China
| | - Yifeng Zhou
- Department of Genetics, Medical College of Soochow University, Suzhou, China
| | - Jiachun Lu
- The State Key Lab of Respiratory Disease, The institute for Chemical Carcinogenesis, Collaborative Innovation Center for Environmental Toxicity, Guangzhou Medical University, Xinzao, Panyu District, Guangzhou, China
- The State Key Lab of Respiratory Disease, Guangzhou Institute of Respiratory Diseases, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
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29
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Pedram P, Zhai G, Gulliver W, Zhang H, Sun G. Two novel candidate genes identified in adults from the Newfoundland population with addictive tendencies towards food. Appetite 2017; 115:71-79. [DOI: 10.1016/j.appet.2017.01.004] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2016] [Revised: 12/06/2016] [Accepted: 01/06/2017] [Indexed: 02/06/2023]
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30
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Sulovari A, Liu Z, Zhu Z, Li D. Genome-wide meta-analysis of copy number variations with alcohol dependence. THE PHARMACOGENOMICS JOURNAL 2017; 18:398-405. [PMID: 28696413 DOI: 10.1038/tpj.2017.35] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/03/2017] [Revised: 05/10/2017] [Accepted: 06/07/2017] [Indexed: 12/26/2022]
Abstract
Genetic association studies and meta-analyses of alcohol dependence (AD) have reported AD-associated single nucleotide polymorphisms (SNPs). These SNPs collectively account for a small portion of estimated heritability in AD. Recent genome-wide copy number variation (CNV) studies have identified CNVs associated with AD and substance dependence, suggesting that a portion of the missing heritability is explained by CNV. We applied PennCNV and QuantiSNP CNV calling algorithms to identify consensus CNVs in five AD cohorts of European and African origins. After rigorous quality control, genome-wide meta-analyses of CNVs were carried out in 3243 well-diagnosed AD cases and 2802 controls. We identified nine CNV regions, including a deletion in chromosome 5q21.3 with a suggestive association with AD (OR=2.15 (1.41-3.29) and P=3.8 × 10-4) and eight nominally significant CNV regions. All regions were replicated with consistent effect sizes across studies and populations. Pathway and gene-drug interaction enrichment analyses based on the resulting genes indicated the mitogen-activated protein kinase signaling pathway and the recombinant insulin and hyaluronidase drugs, which were relevant to AD biology or treatment. To our knowledge, this is the first genome-wide meta-analysis of CNVs with addiction. Further investigation of the AD-associated CNV regions will provide better understanding of the AD genetic mechanism.
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Affiliation(s)
- A Sulovari
- Department of Microbiology and Molecular Genetics, University of Vermont, Burlington, VT, USA
| | - Z Liu
- Spine Surgery, Drum Tower Hospital, Nanjing University Medical School, Nanjing, China
| | - Z Zhu
- Spine Surgery, Drum Tower Hospital, Nanjing University Medical School, Nanjing, China
| | - D Li
- Department of Microbiology and Molecular Genetics, University of Vermont, Burlington, VT, USA.,Department of Computer Science, University of Vermont, Burlington, VT, USA.,Neuroscience, Behavior, and Health Initiative, University of Vermont, Burlington, VT, USA
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31
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Brenton A, Richeimer S, Sharma M, Lee C, Kantorovich S, Blanchard J, Meshkin B. Observational study to calculate addictive risk to opioids: a validation study of a predictive algorithm to evaluate opioid use disorder. PHARMACOGENOMICS & PERSONALIZED MEDICINE 2017; 10:187-195. [PMID: 28572737 PMCID: PMC5441670 DOI: 10.2147/pgpm.s123376] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
Abstract
Background Opioid abuse in chronic pain patients is a major public health issue, with rapidly increasing addiction rates and deaths from unintentional overdose more than quadrupling since 1999. Purpose This study seeks to determine the predictability of aberrant behavior to opioids using a comprehensive scoring algorithm incorporating phenotypic risk factors and neuroscience-associated single-nucleotide polymorphisms (SNPs). Patients and methods The Proove Opioid Risk (POR) algorithm determines the predictability of aberrant behavior to opioids using a comprehensive scoring algorithm incorporating phenotypic risk factors and neuroscience-associated SNPs. In a validation study with 258 subjects with diagnosed opioid use disorder (OUD) and 650 controls who reported using opioids, the POR successfully categorized patients at high and moderate risks of opioid misuse or abuse with 95.7% sensitivity. Regardless of changes in the prevalence of opioid misuse or abuse, the sensitivity of POR remained >95%. Conclusion The POR correctly stratifies patients into low-, moderate-, and high-risk categories to appropriately identify patients at need for additional guidance, monitoring, or treatment changes.
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Affiliation(s)
| | - Steven Richeimer
- Keck school of Medicine, University of Southern California, Los Angeles, CA.,Departments of Anesthesiology and Psychiatry, University of Southern California, Los Angeles, CA
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32
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Sharma M, Lee C, Kantorovich S, Tedtaotao M, Smith GA, Brenton A. Validation Study of a Predictive Algorithm to Evaluate Opioid Use Disorder in a Primary Care Setting. Health Serv Res Manag Epidemiol 2017; 4:2333392817717411. [PMID: 28890908 PMCID: PMC5574481 DOI: 10.1177/2333392817717411] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2017] [Accepted: 05/18/2017] [Indexed: 11/21/2022] Open
Abstract
BACKGROUND Opioid abuse in chronic pain patients is a major public health issue. Primary care providers are frequently the first to prescribe opioids to patients suffering from pain, yet do not always have the time or resources to adequately evaluate the risk of opioid use disorder (OUD). PURPOSE This study seeks to determine the predictability of aberrant behavior to opioids using a comprehensive scoring algorithm ("profile") incorporating phenotypic and, more uniquely, genotypic risk factors. METHODS AND RESULTS In a validation study with 452 participants diagnosed with OUD and 1237 controls, the algorithm successfully categorized patients at high and moderate risk of OUD with 91.8% sensitivity. Regardless of changes in the prevalence of OUD, sensitivity of the algorithm remained >90%. CONCLUSION The algorithm correctly stratifies primary care patients into low-, moderate-, and high-risk categories to appropriately identify patients in need for additional guidance, monitoring, or treatment changes.
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Affiliation(s)
| | - Chee Lee
- Proove Biosciences Inc, Irvine, CA, USA
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33
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A Highly Polymorphic Copy Number Variant in the NSF Gene is Associated with Cocaine Dependence. Sci Rep 2016; 6:31033. [PMID: 27498889 PMCID: PMC4976312 DOI: 10.1038/srep31033] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2016] [Accepted: 07/12/2016] [Indexed: 12/25/2022] Open
Abstract
Cocaine dependence is a complex psychiatric disorder involving both genetic and environmental factors. Several neurotransmitter systems mediate cocaine’s effects, dependence and relapse, being the components of the neurotransmitter release machinery good candidates for the disorder. Previously, we identified a risk haplotype for cocaine dependence in the NSF gene, encoding the protein N-Ethylmaleimide-Sensitive Factor essential for synaptic vesicle turnover. Here we examined the possible contribution to cocaine dependence of a large copy number variant (CNV) that encompasses part of the NSF gene. We performed a case-control association study in a discovery sample (359 cases and 356 controls) and identified an association between cocaine dependence and the CNV (P = 0.013), that was confirmed in the replication sample (508 cases and 569 controls, P = 7.1e-03) and in a pooled analysis (P = 1.8e-04), with an over-representation of low number of copies in cases. Subsequently, we studied the functional impact of the CNV on gene expression and found that the levels of two NSF transcripts were significantly increased in peripheral blood mononuclear cells (PBMC) along with the number of copies of the CNV. These results, together with a previous study from our group, support the role of NSF in the susceptibility to cocaine dependence.
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34
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Jensen KP. A Review of Genome-Wide Association Studies of Stimulant and Opioid Use Disorders. MOLECULAR NEUROPSYCHIATRY 2016; 2:37-45. [PMID: 27606319 DOI: 10.1159/000444755] [Citation(s) in RCA: 33] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/07/2015] [Accepted: 02/16/2016] [Indexed: 12/27/2022]
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.
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Affiliation(s)
- Kevin P Jensen
- Department of Psychiatry, Yale University School of Medicine, New Haven, Conn., and VA Connecticut Healthcare System, West Haven, Conn., USA
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35
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Sulovari A, Kranzler HR, Farrer LA, Gelernter J, Li D. Eye color: A potential indicator of alcohol dependence risk in European Americans. Am J Med Genet B Neuropsychiatr Genet 2015; 168B:347-53. [PMID: 25921801 DOI: 10.1002/ajmg.b.32316] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/06/2015] [Accepted: 04/02/2015] [Indexed: 12/20/2022]
Abstract
In archival samples of European-ancestry subjects, light-eyed individuals have been found to consume more alcohol than dark-eyed individuals. No published population-based studies have directly tested the association between alcohol dependence (AD) and eye color. We hypothesized that light-eyed individuals have a higher prevalence of AD than dark-eyed individuals. A mixture model was used to select a homogeneous sample of 1,263 European-Americans and control for population stratification. After quality control, we conducted an association study using logistic regression, adjusting for confounders (age, sex, and genetic ancestry). We found evidence of association between AD and blue eye color (P = 0.0005 and odds ratio = 1.83 (1.31-2.57)), supporting light eye color as a risk factor relative to brown eye color. Network-based analyses revealed a statistically significant (P = 0.02) number of genetic interactions between eye color genes and AD-associated genes. We found evidence of linkage disequilibrium between an AD-associated GABA receptor gene cluster, GABRB3/GABRG3, and eye color genes, OCA2/HERC2, as well as between AD-associated GRM5 and pigmentation-associated TYR. Our population-phenotype, network, and linkage disequilibrium analyses support association between blue eye color and AD. Although we controlled for stratification we cannot exclude underlying occult stratification as a contributor to this observation. Although replication is needed, our findings suggest that eye pigmentation information may be useful in research on AD. Further characterization of this association may unravel new AD etiological factors. © 2015 Wiley Periodicals, Inc.
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Affiliation(s)
- Arvis Sulovari
- Department of Microbiology and Molecular Genetics, University of Vermont, Burlington, Vermont.,Cell, Molecular, and Biomedical Sciences Graduate Program, University of Vermont, Burlington, Vermont
| | - Henry R Kranzler
- Departmentof Psychiatry, University of Pennsylvania School of Medicine and VAMC 4 MIRECC, Philadelphia VAMC, Philadelphia, Pennsylvania
| | - Lindsay A Farrer
- Departments of Medicine (Biomedical Genetics), Neurology, Ophthalmology, Genetics & Genomics, Biostatistics, and Epidemiology, Boston University Schools of Medicine and Public Health, Boston, Massachusetts
| | - Joel Gelernter
- Department of Psychiatry, School of Medicine, Yale University, New Haven, Connecticut.,Department of Genetics, School of Medicine, Yale University, New Haven, Connecticut.,Connecticutand Department of Neurobiology, Yale University School of Medicine, VA Connecticut Healthcare Center, West Haven, New Haven, Connecticut
| | - Dawei Li
- Department of Microbiology and Molecular Genetics, University of Vermont, Burlington, Vermont.,Department of Computer Science, University of Vermont, Burlington, Vermont.,Neuroscience, Behavior, and Health Initiative, University of Vermont, Burlington, Vermont
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