Polygenic Risk: Predicting Depression Outcomes in Clinical and Epidemiological Cohorts of Youths : Predicting depression outcomes in clinical and epidemiological cohorts of youths
| dc.contributor.author | Halldórsdóttir, Þórhildur | |
| dc.contributor.department | Department of Psychology | |
| dc.date.accessioned | 2026-10-09T11:08:06Z | |
| dc.date.available | 2026-10-09T11:08:06Z | |
| dc.date.issued | 2019-04-05 | |
| dc.description | Funding Information: The authors thank all youths and families participating in the clinical and epidemiological studies, making the present study possible; the research participants and employees of 23andMe for contributing to the meta-analysis of major depressive disorder incorporated here; and the Fuqua Family Foundation for its support of the genetics component of the Portugal Prevention of Depression Study. Dr. Halldorsdottir receives funding from European Research Council Consolidator Grant 726413. Drs. Arnarson and Craighead are board membersofHugarheill,anIcelandiccompanydedicatedtotheprevention of depression. Dr. Craighead receives book royalties from John Wiley & Sons; he has received research support from the Fuqua Family Foundation, the Mary and John Brock Foundation, and NIH; and he is a consultant to the George West Mental Health Foundation and AIM for Mental Health Foundation. Dr. Binder is a co-inventor on a patent on FKBP5, a novel target for antidepressant therapy (European patent 1687443 B1), and receives research funding from Boehringer Ingelheim for a collaboration on functional investigations of FKBP5. The other authors report no financial relationships with commercial interests. Publisher Copyright: © 2019 American Psychiatric Association. All rights reserved. | en |
| dc.description.abstract | Objective: Identifying risk factors for major depression and depressive symptoms in youths could have important implications for prevention efforts. This study examined the association of polygenic risk scores (PRSs) for a broad depression phenotype derived from a large-scale genome-wide association study (GWAS) in adults, and its interaction with childhood abuse, with clinically relevant depression outcomes in clinical and epidemiological youth cohorts. Methods: The clinical cohort comprised 279 youths with major depression (mean age=14.76 years [SD=2.00], 68% female) and 187 healthy control subjects (mean age=14.67 years [SD=2.45], 63% female). The first epidemiological cohort included 1,450 youths (mean age=13.99 years [SD= 0.92], 63% female). Of those, 694 who were not clinically depressed at baseline underwent follow-ups at 6, 12, and 24 months. The replication epidemiological cohort comprised children assessed at ages 8 (N=184; 49.2% female) and 11 (N=317; 46.7% female) years. All cohorts were genome-wide genotyped and completed measures for major depression, depressive symptoms, and/or childhood abuse. Summary statistics from the largest GWAS to date on depression were used to calculate the depression PRS. Results: In the clinical cohort, the depression PRS predicted case-control status (odds ratio=1.560, 95% CI=1.230–1.980), depression severity (b=0.177, SE=0.069), and age at onset (b=20.375, SE=0.160). In the first epidemiological cohort, the depression PRS predicted baseline depressive symptoms (b=0.557, SE=0.200) and prospectively predicted onset of moderate to severe depressive symptoms (hazard ratio=1.202, 95% CI=1.045–1.383). The associations with depressive symptoms were replicated in the second epidemiological cohort. Evidence was found for an additive, but not an interactive, effect of the depression PRS and childhood abuse on depression outcomes. Conclusions: Depression PRSs derived from adults generalize to depression outcomes in youths and may serve as an early indicator of clinically significant levels of depression. | en |
| dc.description.version | Peer reviewed | en |
| dc.format.extent | 11 | |
| dc.format.extent | 877355 | |
| dc.format.extent | 615-625 | |
| dc.identifier.citation | Halldórsdóttir, Þ 2019, 'Polygenic Risk: Predicting Depression Outcomes in Clinical and Epidemiological Cohorts of Youths : Predicting depression outcomes in clinical and epidemiological cohorts of youths', American Journal of Psychiatry, vol. 176, no. 8, pp. 615-625. https://doi.org/10.1176/appi.ajp.2019.18091014 | en |
| dc.identifier.doi | 10.1176/appi.ajp.2019.18091014 | |
| dc.identifier.issn | 0002-953X | |
| dc.identifier.other | 251177855 | |
| dc.identifier.other | 5ddc15ad-ed32-4fb2-ac29-b050138bf6d2 | |
| dc.identifier.other | ORCID: /0000-0003-0637-8912/work/59059151 | |
| dc.identifier.other | 30947532 | |
| dc.identifier.other | 85067031203 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.11815/8614 | |
| dc.language.iso | en | |
| dc.relation.ispartofseries | American Journal of Psychiatry; 176(8) | en |
| dc.relation.url | http://dx.doi.org/10.1176/appi.ajp.2019.18091014 | en |
| dc.relation.url | https://www.scopus.com/pages/publications/85067031203 | en |
| dc.rights | info:eu-repo/semantics/openAccess | en |
| dc.subject | Psychiatry and Mental Health | en |
| dc.title | Polygenic Risk: Predicting Depression Outcomes in Clinical and Epidemiological Cohorts of Youths : Predicting depression outcomes in clinical and epidemiological cohorts of youths | en |
| dc.type | /dk/atira/pure/researchoutput/researchoutputtypes/contributiontojournal/article | en |
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