Hang Zhou, PhD
Assistant Professor of Psychiatry, and of Biomedical Informatics and Data Science
Research & Publications
Biography
News
Research Summary
My primary research interest is identifying novel genetic risks and exploring the biological etiology for psychiatric diseases and comorbidities.
Extensive Research Description
The central goal of my graduate and postdoctoral work is to understand the human genome and how it affects human traits and diseases. To reach this goal, I completed training in population genetics during PhD and psychiatric genetics as postdoc. I performed a series of genetic studies on natural selection in the human genome and genome-wide studies on substance use disorders (SUDs) and comorbid psychiatric diseases. We were the first to study the shared genetic mechanism for SUDs and major depression comorbidity using genome-wide methods, identified a risk variant (SEMA3A) which specifically contributed to comorbid alcohol use disorder (AUD) and depression (Zhou et al., JAMA Psychiatry, 2017; highlighted by an Editorial paper in JAMA Psychiatry), and a risk variant in GRIA4 gene associated with comorbid nicotine dependence and depression (Zhou et al., Translational Psychiatry, 2018).
I was promoted to Associate Research Scientist in July 2018. During this period, I lead the analytic effort for several projects in the Million Veteran Program (MVP). We conducted the largest multi-ancestry genome-wide association study (GWAS) on alcohol consumption and AUD (Kranzler*, Zhou*, Kember* et al., Nature Communications, 2019), all five major US ancestry groups were included (African Americans, European Americans, Latino Americans, East Asian and South Asian Americans). This study delivered a key message that changed this field: AUD differs from alcohol consumption genetically. We accomplished, to our knowledge, the largest meta-analysis for problematic alcohol use (PAU) in European samples (N=435,563), tripled the number of risk variants associated with PAU (Zhou et al., Nature Neuroscience, 2020). In particular, we found that PAU is genetically correlated with many traits; phenome-wide polygenic risk score (PRS) analysis in an independent biobank (Vanderbilt University Biobank) confirmed the genetic correlations between PAU and substance use and psychiatric disorders; Mendelian randomization (MR) suggested that the liability to PAU was attributable in part to substance use, psychiatric status, risk-taking behavior and cognitive performance; and the genetic heritability of PAU was enriched in certain brain regions. We also conducted the largest-to-date genetic study of opioid use disorder (OUD) and identified functional coding variant Asn40Asp in OPRM1 associated with OUD (Zhou et al., JAMA Psychiatry, 2020). These studies made a noteworthy contribution to this field.
Currently, I am working on multiple projects in MVP, include comorbid AUD and mental disorders, and others. MVP has released the genotype data release 4 containing over 650,000 unique samples, which is presently the world’s largest genomic cohort connected to electronic health record data. I am also working on the whole exome sequencing (WES) data in Yale-Penn cohort (over 4,400 samples) for PAU and comorbid diseases (Brain Behavior Research Foundation 2018 NARSAD Young Investigator Award).
Future research plans
Based on my previous work, my future research will focus on three topics related to alcohol: 1) the genetic causality of alcohol intake and PAU on cancer risk; 2) genetics of sex differences in alcohol use and PAU; 3) advanced genetic study of PAU by incorporating WES, whole genome sequencing (WGS), functional magnetic resonance imaging (fMRI) data, and machine learning methodologies.
Coauthors
Research Interests
Alcoholism; Anxiety Disorders; Depression; Opioid-Related Disorders; Tobacco Use Disorder; Genome-Wide Association Study; Binge Drinking; Whole Genome Sequencing; Exome Sequencing; Human Genetics
Research Images
Selected Publications
- Alcohol Use and Use Disorder and Cancer Risk: Perspective on Causal InferenceZhou H, Vasiliou V. Alcohol Use and Use Disorder and Cancer Risk: Perspective on Causal Inference. Complex Psychiatry 2022, 8: 9-12. PMID: 36601413, PMCID: PMC9669948, DOI: 10.1159/000526407.
- Functional connectome-wide associations of schizophrenia polygenic riskCao H, Zhou H, Cannon TD. Functional connectome-wide associations of schizophrenia polygenic risk. Molecular Psychiatry 2020, 26: 2553-2561. PMID: 32127647, PMCID: PMC9557214, DOI: 10.1038/s41380-020-0699-3.
- Genetic Underpinnings of the Transition From Alcohol Consumption to Alcohol Use Disorder: Shared and Unique Genetic Architectures in a Cross-Ancestry SampleKember R, Vickers-Smith R, Zhou H, Xu H, Jennings M, Dao C, Davis L, Sanchez-Roige S, Justice A, Gelernter J, Vujkovic M, Kranzler H. Genetic Underpinnings of the Transition From Alcohol Consumption to Alcohol Use Disorder: Shared and Unique Genetic Architectures in a Cross-Ancestry Sample. American Journal Of Psychiatry 2023, 180: 584-593. PMID: 37282553, PMCID: PMC10731616, DOI: 10.1176/appi.ajp.21090892.
- Cross-ancestry meta-analysis of opioid use disorder uncovers novel loci with predominant effects in brain regions associated with addictionKember RL, Vickers-Smith R, Xu H, Toikumo S, Niarchou M, Zhou H, Hartwell EE, Crist RC, Rentsch CT, Davis L, Justice A, Sanchez-Roige S, Kampman K, Gelernter J, Kranzler H. Cross-ancestry meta-analysis of opioid use disorder uncovers novel loci with predominant effects in brain regions associated with addiction. Nature Neuroscience 2022, 25: 1279-1287. PMID: 36171425, PMCID: PMC9682545, DOI: 10.1038/s41593-022-01160-z.
- Phenome-wide Association Analysis of Substance Use Disorders in a Deeply Phenotyped SampleKember RL, Hartwell EE, Xu H, Rotenberg J, Almasy L, Zhou H, Gelernter J, Kranzler HR. Phenome-wide Association Analysis of Substance Use Disorders in a Deeply Phenotyped Sample. Biological Psychiatry 2022, 93: 536-545. PMID: 36273948, PMCID: PMC9931661, DOI: 10.1016/j.biopsych.2022.08.010.
- Associations between moderate alcohol consumption, brain iron, and cognition in UK Biobank participants: Observational and mendelian randomization analysesTopiwala A, Wang C, Ebmeier KP, Burgess S, Bell S, Levey DF, Zhou H, McCracken C, Roca-Fernández A, Petersen SE, Raman B, Husain M, Gelernter J, Miller KL, Smith SM, Nichols TE. Associations between moderate alcohol consumption, brain iron, and cognition in UK Biobank participants: Observational and mendelian randomization analyses. PLOS Medicine 2022, 19: e1004039. PMID: 35834561, PMCID: PMC9282660, DOI: 10.1371/journal.pmed.1004039.
- Epigenome-wide association study of posttraumatic stress disorder identifies novel loci in U.S. military veteransMontalvo-Ortiz JL, Gelernter J, Cheng Z, Girgenti MJ, Xu K, Zhang X, Gopalan S, Zhou H, Duman RS, Southwick SM, Krystal JH, Pietrzak R. Epigenome-wide association study of posttraumatic stress disorder identifies novel loci in U.S. military veterans. Translational Psychiatry 2022, 12: 65. PMID: 35177594, PMCID: PMC8854688, DOI: 10.1038/s41398-022-01822-3.
- Genome-wide meta-analysis of alcohol use disorder in East AsiansZhou H, Kalayasiri R, Sun Y, Nuñez YZ, Deng HW, Chen XD, Justice AC, Kranzler HR, Chang S, Lu L, Shi J, Sanichwankul K, Mutirangura A, Malison RT, Gelernter J. Genome-wide meta-analysis of alcohol use disorder in East Asians. Neuropsychopharmacology 2022, 47: 1791-1797. PMID: 35094024, PMCID: PMC9372033, DOI: 10.1038/s41386-022-01265-w.
- Identifying and Reducing Bias in Genome-Wide Association Studies of Alcohol-Related TraitsKranzler HR, Zhou H, Kember RL. Identifying and Reducing Bias in Genome-Wide Association Studies of Alcohol-Related Traits. American Journal Of Psychiatry 2022, 179: 14-16. PMID: 34974756, DOI: 10.1176/appi.ajp.2021.21111107.
- The addiction risk factor: A unitary genetic vulnerability characterizes substance use disorders and their associations with common correlatesHatoum AS, Johnson EC, Colbert SMC, Polimanti R, Zhou H, Walters RK, Gelernter J, Edenberg HJ, Bogdan R, Agrawal A. The addiction risk factor: A unitary genetic vulnerability characterizes substance use disorders and their associations with common correlates. Neuropsychopharmacology 2021, 47: 1739-1745. PMID: 34750568, PMCID: PMC9372072, DOI: 10.1038/s41386-021-01209-w.
- Bi-ancestral depression GWAS in the Million Veteran Program and meta-analysis in >1.2 million individuals highlight new therapeutic directionsLevey DF, Stein MB, Wendt FR, Pathak GA, Zhou H, Aslan M, Quaden R, Harrington KM, Nuñez YZ, Overstreet C, Radhakrishnan K, Sanacora G, McIntosh AM, Shi J, Shringarpure SS, Concato J, Polimanti R, Gelernter J. Bi-ancestral depression GWAS in the Million Veteran Program and meta-analysis in >1.2 million individuals highlight new therapeutic directions. Nature Neuroscience 2021, 24: 954-963. PMID: 34045744, PMCID: PMC8404304, DOI: 10.1038/s41593-021-00860-2.
- The impact of removing former drinkers from genome‐wide association studies of AUDIT‐CDao C, Zhou H, Small A, Gordon KS, Li B, Kember RL, Ye Y, Gelernter J, Xu K, Kranzler HR, Zhao H, Justice AC. The impact of removing former drinkers from genome‐wide association studies of AUDIT‐C. Addiction 2021, 116: 3044-3054. PMID: 33861876, PMCID: PMC9377185, DOI: 10.1111/add.15511.
- Genome-wide association study of smoking trajectory and meta-analysis of smoking status in 842,000 individualsXu K, Li B, McGinnis KA, Vickers-Smith R, Dao C, Sun N, Kember RL, Zhou H, Becker WC, Gelernter J, Kranzler HR, Zhao H, Justice AC. Genome-wide association study of smoking trajectory and meta-analysis of smoking status in 842,000 individuals. Nature Communications 2020, 11: 5302. PMID: 33082346, PMCID: PMC7598939, DOI: 10.1038/s41467-020-18489-3.
- Association of OPRM1 Functional Coding Variant With Opioid Use DisorderZhou H, Rentsch CT, Cheng Z, Kember RL, Nunez YZ, Sherva RM, Tate JP, Dao C, Xu K, Polimanti R, Farrer LA, Justice AC, Kranzler HR, Gelernter J. Association of OPRM1 Functional Coding Variant With Opioid Use Disorder. JAMA Psychiatry 2020, 77: 1072-1080. PMID: 32492095, PMCID: PMC7270886, DOI: 10.1001/jamapsychiatry.2020.1206.
- Reproducible Genetic Risk Loci for Anxiety: Results From ∼200,000 Participants in the Million Veteran ProgramLevey DF, Gelernter J, Polimanti R, Zhou H, Cheng Z, Aslan M, Quaden R, Concato J, Radhakrishnan K, Bryois J, Sullivan PF, Stein M. Reproducible Genetic Risk Loci for Anxiety: Results From ∼200,000 Participants in the Million Veteran Program. American Journal Of Psychiatry 2020, 177: 223-232. PMID: 31906708, PMCID: PMC7869502, DOI: 10.1176/appi.ajp.2019.19030256.
- Genome-wide association study of alcohol consumption and use disorder in 274,424 individuals from multiple populationsKranzler HR, Zhou H, Kember RL, Vickers Smith R, Justice AC, Damrauer S, Tsao PS, Klarin D, Baras A, Reid J, Overton J, Rader DJ, Cheng Z, Tate JP, Becker WC, Concato J, Xu K, Polimanti R, Zhao H, Gelernter J. Genome-wide association study of alcohol consumption and use disorder in 274,424 individuals from multiple populations. Nature Communications 2019, 10: 1499. PMID: 30940813, PMCID: PMC6445072, DOI: 10.1038/s41467-019-09480-8.
- Genome-wide association study identifies glutamate ionotropic receptor GRIA4 as a risk gene for comorbid nicotine dependence and major depressionZhou H, Cheng Z, Bass N, Krystal JH, Farrer LA, Kranzler HR, Gelernter J. Genome-wide association study identifies glutamate ionotropic receptor GRIA4 as a risk gene for comorbid nicotine dependence and major depression. Translational Psychiatry 2018, 8: 208. PMID: 30287806, PMCID: PMC6172277, DOI: 10.1038/s41398-018-0258-8.
- Translational studies support a role for serotonin 2B receptor (HTR2B) gene in aggression-related cannabis responseMontalvo-Ortiz JL, Zhou H, D’Andrea I, Maroteaux L, Lori A, Smith A, Ressler KJ, Nuñez YZ, Farrer LA, Zhao H, Kranzler HR, Gelernter J. Translational studies support a role for serotonin 2B receptor (HTR2B) gene in aggression-related cannabis response. Molecular Psychiatry 2018, 23: 2277-2286. PMID: 29875475, PMCID: PMC6281782, DOI: 10.1038/s41380-018-0077-6.
- Genetic Risk Variants Associated With Comorbid Alcohol Dependence and Major DepressionZhou H, Polimanti R, Yang BZ, Wang Q, Han S, Sherva R, Nuñez YZ, Zhao H, Farrer LA, Kranzler HR, Gelernter J. Genetic Risk Variants Associated With Comorbid Alcohol Dependence and Major Depression. JAMA Psychiatry 2017, 74: 1234-1241. PMID: 29071344, PMCID: PMC6331050, DOI: 10.1001/jamapsychiatry.2017.3275.
- Polygenic Scores for Major Depressive Disorder and Risk of Alcohol DependenceAndersen AM, Pietrzak RH, Kranzler HR, Ma L, Zhou H, Liu X, Kramer J, Kuperman S, Edenberg HJ, Nurnberger JI, Rice JP, Tischfield JA, Goate A, Foroud TM, Meyers JL, Porjesz B, Dick DM, Hesselbrock V, Boerwinkle E, Southwick SM, Krystal JH, Weissman MM, Levinson DF, Potash JB, Gelernter J, Han S. Polygenic Scores for Major Depressive Disorder and Risk of Alcohol Dependence. JAMA Psychiatry 2017, 74: 1153-1160. PMID: 28813562, PMCID: PMC5710224, DOI: 10.1001/jamapsychiatry.2017.2269.
- Multi-ancestry study of the genetics of problematic alcohol use in over 1 million individualsZhou H, Kember R, Deak J, Xu H, Toikumo S, Yuan K, Lind P, Farajzadeh L, Wang L, Hatoum A, Johnson J, Lee H, Mallard T, Xu J, Johnston K, Johnson E, Nielsen T, Galimberti M, Dao C, Levey D, Overstreet C, Byrne E, Gillespie N, Gordon S, Hickie I, Whitfield J, Xu K, Zhao H, Huckins L, Davis L, Sanchez-Roige S, Madden P, Heath A, Medland S, Martin N, Ge T, Smoller J, Hougaard D, Børglum A, Demontis D, Krystal J, Gaziano J, Edenberg H, Agrawal A, Justice A, Stein M, Kranzler H, Gelernter J. Multi-ancestry study of the genetics of problematic alcohol use in over 1 million individuals. Nature Medicine 2023, 29: 3184-3192. PMID: 38062264, PMCID: PMC10719093, DOI: 10.1038/s41591-023-02653-5.
- Genome-wide association studies and cross-population meta-analyses investigating short and long sleep durationAustin-Zimmerman I, Levey D, Giannakopoulou O, Deak J, Galimberti M, Adhikari K, Zhou H, Denaxas S, Irizar H, Kuchenbaecker K, McQuillin A, Concato J, Buysse D, Gaziano J, Gottlieb D, Polimanti R, Stein M, Bramon E, Gelernter J. Genome-wide association studies and cross-population meta-analyses investigating short and long sleep duration. Nature Communications 2023, 14: 6059. PMID: 37770476, PMCID: PMC10539313, DOI: 10.1038/s41467-023-41249-y.
- Genome-wide association study of antisocial personality disorder diagnostic criteria provides evidence for shared risk factors across disordersLi W, Zhou H, Thygesen J, Heydtmann M, Smith I, Degenhardt F, Nöthen M, Morgan M, Kranzler H, Gelernter J, Bass N, McQuillin A. Genome-wide association study of antisocial personality disorder diagnostic criteria provides evidence for shared risk factors across disorders. Psychiatric Genetics 2023, 33: 233-242. PMID: 37756443, PMCID: PMC10635348, DOI: 10.1097/ypg.0000000000000352.
- Positive personality traits moderate persistent high alcohol consumption, determined by polygenic risk in U.S. military veterans: results from a 10-year, population-based, observational cohort studyNa P, Zhou H, Montalvo-Ortiz J, Cabrera-Mendoza B, Petrakis I, Krystal J, Polimanti R, Gelernter J, Pietrzak R. Positive personality traits moderate persistent high alcohol consumption, determined by polygenic risk in U.S. military veterans: results from a 10-year, population-based, observational cohort study. Psychological Medicine 2023, 53: 7893-7901. PMID: 37642191, DOI: 10.1017/s003329172300199x.
- Multi-trait genome-wide association analyses leveraging alcohol use disorder findings identify novel loci for smoking behaviors in the Million Veteran ProgramCheng Y, Dao C, Zhou H, Li B, Kember R, Toikumo S, Zhao H, Gelernter J, Kranzler H, Justice A, Xu K. Multi-trait genome-wide association analyses leveraging alcohol use disorder findings identify novel loci for smoking behaviors in the Million Veteran Program. Translational Psychiatry 2023, 13: 148. PMID: 37147289, PMCID: PMC10162964, DOI: 10.1038/s41398-023-02409-2.
- Factor structure of the posttraumatic stress disorder checklist (PCL-17) in 279,897 million veteran program participantsOverstreet C, Levey D, Zhou H, Harrington K, Quaden R, Stein M, Gelernter J, Pietrzak R, Program M. Factor structure of the posttraumatic stress disorder checklist (PCL-17) in 279,897 million veteran program participants. Psychiatry Research 2022, 319: 114994. PMID: 36516638, PMCID: PMC10184787, DOI: 10.1016/j.psychres.2022.114994.
- Alcohol consumption and telomere length: Mendelian randomization clarifies alcohol’s effectsTopiwala A, Taschler B, Ebmeier KP, Smith S, Zhou H, Levey DF, Codd V, Samani NJ, Gelernter J, Nichols TE, Burgess S. Alcohol consumption and telomere length: Mendelian randomization clarifies alcohol’s effects. Molecular Psychiatry 2022, 27: 4001-4008. PMID: 35879401, PMCID: PMC9718662, DOI: 10.1038/s41380-022-01690-9.
- Genome-wide association study in individuals of European and African ancestry and multi-trait analysis of opioid use disorder identifies 19 independent genome-wide significant risk lociDeak JD, Zhou H, Galimberti M, Levey DF, Wendt FR, Sanchez-Roige S, Hatoum AS, Johnson EC, Nunez YZ, Demontis D, Børglum AD, Rajagopal VM, Jennings MV, Kember RL, Justice AC, Edenberg HJ, Agrawal A, Polimanti R, Kranzler HR, Gelernter J. Genome-wide association study in individuals of European and African ancestry and multi-trait analysis of opioid use disorder identifies 19 independent genome-wide significant risk loci. Molecular Psychiatry 2022, 27: 3970-3979. PMID: 35879402, PMCID: PMC9718667, DOI: 10.1038/s41380-022-01709-1.
- Unique and joint associations of polygenic risk for major depression and opioid use disorder with endogenous opioid system functionLove T, Shabalin AA, Kember RL, Docherty AR, Zhou H, Koppelmans V, Gelernter J, Baker AK, Hartwell E, Dubroff J, Zubieta JK, Kranzler HR. Unique and joint associations of polygenic risk for major depression and opioid use disorder with endogenous opioid system function. Neuropsychopharmacology 2022, 47: 1784-1790. PMID: 35545664, PMCID: PMC9372136, DOI: 10.1038/s41386-022-01325-1.
- Multivariate analysis of 1.5 million people identifies genetic associations with traits related to self-regulation and addictionKarlsson Linnér R, Mallard TT, Barr PB, Sanchez-Roige S, Madole JW, Driver MN, Poore HE, de Vlaming R, Grotzinger AD, Tielbeek JJ, Johnson EC, Liu M, Rosenthal SB, Ideker T, Zhou H, Kember RL, Pasman JA, Verweij KJH, Liu DJ, Vrieze S, Kranzler H, Gelernter J, Harris K, Tucker-Drob E, Waldman I, Palmer A, Harden K, Koellinger P, Dick D. Multivariate analysis of 1.5 million people identifies genetic associations with traits related to self-regulation and addiction. Nature Neuroscience 2021, 24: 1367-1376. PMID: 34446935, PMCID: PMC8484054, DOI: 10.1038/s41593-021-00908-3.
- Investigation of convergent and divergent genetic influences underlying schizophrenia and alcohol use disorderJohnson EC, Kapoor M, Hatoum AS, Zhou H, Polimanti R, Wendt FR, Walters RK, Lai D, Kember RL, Hartz S, Meyers JL, Peterson RE, Ripke S, Bigdeli TB, Fanous AH, Pato CN, Pato MT, Goate AM, Kranzler HR, O'Donovan MC, Walters JTR, Gelernter J, Edenberg HJ, Agrawal A. Investigation of convergent and divergent genetic influences underlying schizophrenia and alcohol use disorder. Psychological Medicine 2021, 53: 1196-1204. PMID: 34231451, PMCID: PMC8738774, DOI: 10.1017/s003329172100266x.
- Genomewide Gene-by-Sex Interaction Scans Identify ADGRV1 for Sex Differences in Opioid Dependent African AmericansYang BZ, Zhou H, Cheng Z, Kranzler HR, Gelernter J. Genomewide Gene-by-Sex Interaction Scans Identify ADGRV1 for Sex Differences in Opioid Dependent African Americans. Scientific Reports 2019, 9: 18070. PMID: 31792237, PMCID: PMC6889277, DOI: 10.1038/s41598-019-53560-0.
- Genome-wide association study of alcohol dependence in male Han Chinese and cross-ethnic polygenic risk score comparisonSun Y, Chang S, Wang F, Sun H, Ni Z, Yue W, Zhou H, Gelernter J, Malison RT, Kalayasiri R, Wu P, Lu L, Shi J. Genome-wide association study of alcohol dependence in male Han Chinese and cross-ethnic polygenic risk score comparison. Translational Psychiatry 2019, 9: 249. PMID: 31591379, PMCID: PMC6779867, DOI: 10.1038/s41398-019-0586-3.
- Genome‐wide scan identifies opioid overdose risk locus close to MCOLN1Cheng Z, Yang B, Zhou H, Nunez Y, Kranzler HR, Gelernter J. Genome‐wide scan identifies opioid overdose risk locus close to MCOLN1. Addiction Biology 2019, 25: e12811. PMID: 31362332, PMCID: PMC7485539, DOI: 10.1111/adb.12811.
- Genetic associations with suicide attempt severity and genetic overlap with major depressionLevey DF, Polimanti R, Cheng Z, Zhou H, Nuñez YZ, Jain S, He F, Sun X, Ursano RJ, Kessler RC, Smoller JW, Stein MB, Kranzler HR, Gelernter J. Genetic associations with suicide attempt severity and genetic overlap with major depression. Translational Psychiatry 2019, 9: 22. PMID: 30655502, PMCID: PMC6336846, DOI: 10.1038/s41398-018-0340-2.
- GWAS and network analysis of co‐occurring nicotine and alcohol dependence identifies significantly associated alleles and networkXiang B, Yang B, Zhou H, Kranzler H, Gelernter J. GWAS and network analysis of co‐occurring nicotine and alcohol dependence identifies significantly associated alleles and network. American Journal Of Medical Genetics Part B Neuropsychiatric Genetics 2018, 180: 3-11. PMID: 30488612, PMCID: PMC6918694, DOI: 10.1002/ajmg.b.32692.
- Genome‐wide association study of cognitive flexibility assessed by the Wisconsin Card Sorting TestZhang H, Zhou H, Lencz T, Farrer LA, Kranzler HR, Gelernter J. Genome‐wide association study of cognitive flexibility assessed by the Wisconsin Card Sorting Test. American Journal Of Medical Genetics Part B Neuropsychiatric Genetics 2018, 177: 511-519. PMID: 30134085, PMCID: PMC6110090, DOI: 10.1002/ajmg.b.32642.
- Genomewide Association Study of Alcohol Dependence and Related Traits in a Thai PopulationGelernter J, Zhou H, Nuñez YZ, Mutirangura A, Malison RT, Kalayasiri R. Genomewide Association Study of Alcohol Dependence and Related Traits in a Thai Population. Alcohol Clinical And Experimental Research 2018, 42: 861-868. PMID: 29460428, PMCID: PMC5916336, DOI: 10.1111/acer.13614.
- Genome-wide Association Study Identifies a Regulatory Variant of RGMA Associated With Opioid Dependence in European AmericansCheng Z, Zhou H, Sherva R, Farrer LA, Kranzler HR, Gelernter J. Genome-wide Association Study Identifies a Regulatory Variant of RGMA Associated With Opioid Dependence in European Americans. Biological Psychiatry 2018, 84: 762-770. PMID: 29478698, PMCID: PMC6041180, DOI: 10.1016/j.biopsych.2017.12.016.