guest ::
| Home > Publications Database > Contrasting genetic burden for bipolar disorder: Early onset versus late onset in an older adult bipolar disorder sample > print |
| Home > Publications Database > Contrasting genetic burden for bipolar disorder: Early onset versus late onset in an older adult bipolar disorder sample > print |
| 001 | 274096 | ||
| 005 | 20250119000331.0 | ||
| 024 | 7 | _ | |a 10.1016/j.euroneuro.2024.12.001 |2 doi |
| 024 | 7 | _ | |a 0924-977X |2 ISSN |
| 024 | 7 | _ | |a 1873-7862 |2 ISSN |
| 024 | 7 | _ | |a altmetric:172417781 |2 altmetric |
| 024 | 7 | _ | |a pmid:39718074 |2 pmid |
| 037 | _ | _ | |a DZNE-2025-00052 |
| 082 | _ | _ | |a 610 |
| 100 | 1 | _ | |a Montejo, Laura |0 0000-0003-4407-9454 |b 0 |
| 245 | _ | _ | |a Contrasting genetic burden for bipolar disorder: Early onset versus late onset in an older adult bipolar disorder sample |
| 260 | _ | _ | |a Amsterdam |c 2025 |b Elsevier |
| 336 | 7 | _ | |a article |2 DRIVER |
| 336 | 7 | _ | |a Output Types/Journal article |2 DataCite |
| 336 | 7 | _ | |a Journal Article |b journal |m journal |0 PUB:(DE-HGF)16 |s 1736941328_13620 |2 PUB:(DE-HGF) |
| 336 | 7 | _ | |a ARTICLE |2 BibTeX |
| 336 | 7 | _ | |a JOURNAL_ARTICLE |2 ORCID |
| 336 | 7 | _ | |a Journal Article |0 0 |2 EndNote |
| 520 | _ | _ | |a Older Adults with Bipolar Disorder (OABD) represent a heterogeneous group, including those with early and late onset of the disorder. Recent evidence shows both groups have distinct clinical, cognitive, and medical features, tied to different neurobiological profiles. This study explored the link between polygenic risk scores (PRS) for bipolar disorder (PRS-BD), schizophrenia (PRS-SCZ), and major depressive disorder (PRS-MDD) with age of onset in OABD. PRS-SCZ, PRS-BD, and PRS-MDD among early vs late onset were calculated. PRS was used to infer posterior SNP effect sizes using a fully Bayesian approach. Demographic, clinical, and cognitive variables were also analyzed. Logistic regression analysis was used to estimate the amount of variation of each group explained by standardized PRS-SCZ, PRS-MDD, and PRS-BD. A total of 207 OABD subjects were included (144 EOBD; 63 LOBD). EOBD showed higher PRS-BD compared to LOBD (p = 0.005), while no association was found between age of onset and PRS-SCZ or PRS-MDD. Compared to LOBD, EOBD individuals also showed a higher likelihood for suicide attempts (p = 0.01), higher presence of psychotic symptoms (p = 0.003), higher prevalence of BD-I (p = 0.002), higher rates of familiarity for any psychiatric disorder (p = 0.004), and lower processing speed measured with Trail-Making Test part A (p = 0.03). OABD subjects with an early onset showed a greater genetic burden for BD compared to subjects with a late onset. These findings contribute to the notion that EOBD and LOBD may represent different forms of OABD, particularly regarding the genetic predisposition to BD. |
| 536 | _ | _ | |a 353 - Clinical and Health Care Research (POF4-353) |0 G:(DE-HGF)POF4-353 |c POF4-353 |f POF IV |x 0 |
| 588 | _ | _ | |a Dataset connected to CrossRef, Journals: pub.dzne.de |
| 700 | 1 | _ | |a Sole, Brisa |0 0000-0003-1673-8248 |b 1 |
| 700 | 1 | _ | |a Fico, Giovanna |b 2 |
| 700 | 1 | _ | |a Kalman, Janos L. |b 3 |
| 700 | 1 | _ | |a Budde, Monika |0 0000-0001-7301-9157 |b 4 |
| 700 | 1 | _ | |a Heilbronner, Urs |0 P:(DE-2719)9000977 |b 5 |
| 700 | 1 | _ | |a Oliva, Vincenzo |0 0000-0002-5961-6032 |b 6 |
| 700 | 1 | _ | |a De Prisco, Michele |0 0000-0002-2032-1181 |b 7 |
| 700 | 1 | _ | |a Martin-Parra, Sara |0 0009-0008-4675-8358 |b 8 |
| 700 | 1 | _ | |a Ruiz, Andrea |b 9 |
| 700 | 1 | _ | |a Martinez-Aran, Anabel |b 10 |
| 700 | 1 | _ | |a Adorjan, Kristina |b 11 |
| 700 | 1 | _ | |a Falkai, Peter |b 12 |
| 700 | 1 | _ | |a Heilbronner, Maria |b 13 |
| 700 | 1 | _ | |a Kohshour, Mojtaba Oraki |0 0000-0002-1357-2636 |b 14 |
| 700 | 1 | _ | |a Reich-Erkelenz, Daniela |0 0000-0001-7818-539X |b 15 |
| 700 | 1 | _ | |a Schaupp, Sabrina K. |b 16 |
| 700 | 1 | _ | |a Schulte, Eva C. |0 0000-0003-3105-5672 |b 17 |
| 700 | 1 | _ | |a Senner, Fanny |b 18 |
| 700 | 1 | _ | |a Vogl, Thomas |b 19 |
| 700 | 1 | _ | |a Anghelescu, Ion-George |b 20 |
| 700 | 1 | _ | |a Arolt, Volker |b 21 |
| 700 | 1 | _ | |a Baune, Bernhard T. |b 22 |
| 700 | 1 | _ | |a Dannlowski, Udo |b 23 |
| 700 | 1 | _ | |a Dietrich, Detlef E. |b 24 |
| 700 | 1 | _ | |a Fallgatter, Andreas J. |0 P:(DE-HGF)0 |b 25 |
| 700 | 1 | _ | |a Figge, Christian |b 26 |
| 700 | 1 | _ | |a Juckel, Georg |b 27 |
| 700 | 1 | _ | |a Konrad, Carsten |b 28 |
| 700 | 1 | _ | |a Reimer, Jens |0 0009-0007-5406-5319 |b 29 |
| 700 | 1 | _ | |a Reininghaus, Eva Z. |0 0000-0001-5964-4087 |b 30 |
| 700 | 1 | _ | |a Schmauß, Max |b 31 |
| 700 | 1 | _ | |a Wiltfang, Jens |0 P:(DE-2719)2811317 |b 32 |u dzne |
| 700 | 1 | _ | |a Zimmermann, Jörg |b 33 |
| 700 | 1 | _ | |a Vieta, Eduard |0 0000-0002-0548-0053 |b 34 |
| 700 | 1 | _ | |a Papiol, Sergi |0 0000-0001-9366-8728 |b 35 |
| 700 | 1 | _ | |a Schulze, Thomas G. |b 36 |
| 700 | 1 | _ | |a Torrent, Carla |b 37 |
| 773 | _ | _ | |a 10.1016/j.euroneuro.2024.12.001 |g Vol. 92, p. 29 - 37 |0 PERI:(DE-600)2019305-1 |p 29 - 37 |t European neuropsychopharmacology |v 92 |y 2025 |x 0924-977X |
| 856 | 4 | _ | |y OpenAccess |u https://pub.dzne.de/record/274096/files/DZNE-2025-00052.pdf |
| 856 | 4 | _ | |y OpenAccess |x pdfa |u https://pub.dzne.de/record/274096/files/DZNE-2025-00052.pdf?subformat=pdfa |
| 909 | C | O | |o oai:pub.dzne.de:274096 |p openaire |p open_access |p VDB |p driver |p dnbdelivery |
| 910 | 1 | _ | |a Deutsches Zentrum für Neurodegenerative Erkrankungen |0 I:(DE-588)1065079516 |k DZNE |b 32 |6 P:(DE-2719)2811317 |
| 913 | 1 | _ | |a DE-HGF |b Gesundheit |l Neurodegenerative Diseases |1 G:(DE-HGF)POF4-350 |0 G:(DE-HGF)POF4-353 |3 G:(DE-HGF)POF4 |2 G:(DE-HGF)POF4-300 |4 G:(DE-HGF)POF |v Clinical and Health Care Research |x 0 |
| 914 | 1 | _ | |y 2025 |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0150 |2 StatID |b Web of Science Core Collection |d 2023-10-22 |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0160 |2 StatID |b Essential Science Indicators |d 2023-10-22 |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)1050 |2 StatID |b BIOSIS Previews |d 2023-10-22 |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)1190 |2 StatID |b Biological Abstracts |d 2023-10-22 |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0600 |2 StatID |b Ebsco Academic Search |d 2023-10-22 |
| 915 | _ | _ | |a JCR |0 StatID:(DE-HGF)0100 |2 StatID |b EUR NEUROPSYCHOPHARM : 2022 |d 2023-10-22 |
| 915 | _ | _ | |a WoS |0 StatID:(DE-HGF)0113 |2 StatID |b Science Citation Index Expanded |d 2023-10-22 |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)1030 |2 StatID |b Current Contents - Life Sciences |d 2023-10-22 |
| 915 | _ | _ | |a OpenAccess |0 StatID:(DE-HGF)0510 |2 StatID |
| 915 | _ | _ | |a Peer Review |0 StatID:(DE-HGF)0030 |2 StatID |b ASC |d 2023-10-22 |
| 915 | _ | _ | |a IF >= 5 |0 StatID:(DE-HGF)9905 |2 StatID |b EUR NEUROPSYCHOPHARM : 2022 |d 2023-10-22 |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0300 |2 StatID |b Medline |d 2023-10-22 |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0200 |2 StatID |b SCOPUS |d 2023-10-22 |
| 915 | _ | _ | |a Creative Commons Attribution CC BY 4.0 |0 LIC:(DE-HGF)CCBY4 |2 HGFVOC |
| 915 | _ | _ | |a Nationallizenz |0 StatID:(DE-HGF)0420 |2 StatID |d 2023-10-22 |w ger |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0199 |2 StatID |b Clarivate Analytics Master Journal List |d 2023-10-22 |
| 920 | 1 | _ | |0 I:(DE-2719)1410006 |k AG Wiltfang |l Molecular biomarkers for predictive diagnostics of neurodegenerative diseases |x 0 |
| 980 | _ | _ | |a journal |
| 980 | _ | _ | |a VDB |
| 980 | _ | _ | |a UNRESTRICTED |
| 980 | _ | _ | |a I:(DE-2719)1410006 |
| 980 | 1 | _ | |a FullTexts |
| Library | Collection | CLSMajor | CLSMinor | Language | Author |
|---|