Polygenic Scores for Major Depressive Disorder and Risk of Alcohol Dependence
dc.contributor.author | Andersen, Allan M. | |
dc.contributor.author | Pietrzak, Robert H. | |
dc.contributor.author | Kranzler, Henry R. | |
dc.contributor.author | Ma, Li | |
dc.contributor.author | Zhou, Hang | |
dc.contributor.author | Liu, Xiaoming | |
dc.contributor.author | Kramer, John | |
dc.contributor.author | Kuperman, Samuel | |
dc.contributor.author | Edenberg, Howard J. | |
dc.contributor.author | Nurnberger, John I., Jr. | |
dc.contributor.author | Rice, John P. | |
dc.contributor.author | Tischfield, Jay A. | |
dc.contributor.author | Goate, Alison | |
dc.contributor.author | Foroud, Tatiana M. | |
dc.contributor.author | Meyers, Jacquelyn L. | |
dc.contributor.author | Porjesz, Bernice | |
dc.contributor.author | Dick, Danielle M. | |
dc.contributor.author | Hesselbrock, Victor | |
dc.contributor.author | Boerwinkle, Eric | |
dc.contributor.author | Southwick, Steven M. | |
dc.contributor.author | Krystal, John H. | |
dc.contributor.author | Weissman, Myrna M. | |
dc.contributor.author | Levinson, Douglas F. | |
dc.contributor.author | Potash, James B. | |
dc.contributor.author | Gelernter, Joel | |
dc.contributor.author | Han, Shizhong | |
dc.contributor.department | Biochemistry and Molecular Biology, School of Medicine | en_US |
dc.date.accessioned | 2019-06-04T13:50:54Z | |
dc.date.available | 2019-06-04T13:50:54Z | |
dc.date.issued | 2017-11-01 | |
dc.description.abstract | Importance: Major depressive disorder (MDD) and alcohol dependence (AD) are heritable disorders with significant public health burdens, and they are frequently comorbid. Common genetic factors that influence the co-occurrence of MDD and AD have been sought in family, twin, and adoption studies, and results to date have been promising but inconclusive. Objective: To examine whether AD and MDD overlap genetically, using a polygenic score approach. Design, Settings, and Participants: Association analyses were conducted between MDD polygenic risk score (PRS) and AD case-control status in European ancestry samples from 4 independent genome-wide association study (GWAS) data sets: the Collaborative Study on the Genetics of Alcoholism (COGA); the Study of Addiction, Genetics, and Environment (SAGE); the Yale-Penn genetic study of substance dependence; and the National Health and Resilience in Veterans Study (NHRVS). Results from a meta-analysis of MDD (9240 patients with MDD and 9519 controls) from the Psychiatric Genomics Consortium were applied to calculate PRS at thresholds from P < .05 to P ≤ .99 in each AD GWAS data set. Main Outcomes and Measures: Association between MDD PRS and AD. Results: Participants analyzed included 788 cases (548 [69.5%] men; mean [SD] age, 38.2 [10.8] years) and 522 controls (151 [28.9.%] men; age [SD], 43.9 [11.6] years) from COGA; 631 cases (333 [52.8%] men; age [SD], 35.0 [7.7] years) and 756 controls (260 [34.4%] male; age [SD] 36.1 [7.7] years) from SAGE; 2135 cases (1375 [64.4%] men; age [SD], 39.4 [11.5] years) and 350 controls (126 [36.0%] men; age [SD], 43.5 [13.9] years) from Yale-Penn; and 317 cases (295 [93.1%] men; age [SD], 59.1 [13.1] years) and 1719 controls (1545 [89.9%] men; age [SD], 64.5 [13.3] years) from NHRVS. Higher MDD PRS was associated with a significantly increased risk of AD in all samples (COGA: best P = 1.7 × 10-6, R2 = 0.026; SAGE: best P = .001, R2 = 0.01; Yale-Penn: best P = .035, R2 = 0.0018; and NHRVS: best P = .004, R2 = 0.0074), with stronger evidence for association after meta-analysis of the 4 samples (best P = 3.3 × 10-9). In analyses adjusted for MDD status in 3 AD GWAS data sets, similar patterns of association were observed (COGA: best P = 7.6 × 10-6, R2 = 0.023; Yale-Penn: best P = .08, R2 = 0.0013; and NHRVS: best P = .006, R2 = 0.0072). After recalculating MDD PRS using MDD GWAS data sets without comorbid MDD-AD cases, significant evidence was observed for an association between the MDD PRS and AD in the meta-analysis of 3 GWAS AD samples without MDD cases (best P = .007). Conclusions and Relevance: These results suggest that shared genetic susceptibility contributes modestly to MDD and AD comorbidity. Individuals with elevated polygenic risk for MDD may also be at risk for AD. | en_US |
dc.eprint.version | Final published version | en_US |
dc.identifier.citation | Andersen, A. M., Pietrzak, R. H., Kranzler, H. R., Ma, L., Zhou, H., Liu, X., … Han, S. (2017). Polygenic Scores for Major Depressive Disorder and Risk of Alcohol Dependence. JAMA psychiatry, 74(11), 1153–1160. doi:10.1001/jamapsychiatry.2017.2269 | en_US |
dc.identifier.uri | https://hdl.handle.net/1805/19520 | |
dc.language.iso | en_US | en_US |
dc.publisher | American Medical Association | en_US |
dc.relation.isversionof | 10.1001/jamapsychiatry.2017.2269 | en_US |
dc.relation.journal | JAMA Psychiatry | en_US |
dc.rights | Publisher Policy | en_US |
dc.source | PMC | en_US |
dc.subject | Alcoholism | en_US |
dc.subject | Comorbidity | en_US |
dc.subject | Depressive Disorder, Major | en_US |
dc.subject | European Continental Ancestry Group | en_US |
dc.subject | Genetic Predisposition to Disease | en_US |
dc.subject | Genome-Wide Association Study | en_US |
dc.subject | Middle Aged | en_US |
dc.subject | Multifactorial Inheritance | en_US |
dc.title | Polygenic Scores for Major Depressive Disorder and Risk of Alcohol Dependence | en_US |
dc.type | Article | en_US |
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