| Autor: |
Linn Rødevand, Shahram Bahrami, Oleksandr Frei, Yunhan Chu, Alexey Shadrin, Kevin S. O’Connell, Olav B. Smeland, Torbjørn Elvsåshagen, Guy F. L. Hindley, Srdjan Djurovic, Anders M. Dale, Trine V. Lagerberg, Nils Eiel Steen, Ole A. Andreassen |
| Jazyk: |
angličtina |
| Rok vydání: |
2021 |
| Předmět: |
|
| Zdroj: |
Translational Psychiatry, Vol 11, Iss 1, Pp 1-9 (2021) |
| Druh dokumentu: |
article |
| ISSN: |
2158-3188 |
| DOI: |
10.1038/s41398-021-01527-z |
| Popis: |
Abstract Patients with bipolar disorder (BIP) have a high risk of cardiovascular disease (CVD), despite considerable individual variation. The mechanisms underlying comorbid CVD in BIP remain largely unknown. We investigated polygenic overlap between BIP and CVD phenotypes, including CVD risk factors and coronary artery disease (CAD). We analyzed large genome-wide association studies of BIP (n = 51,710) and CVD phenotypes (n = 159,208–795,640), using bivariate causal mixture model (MiXeR), which estimates the total amount of shared genetic variants, and conjunctional false discovery rate (FDR), which identifies specific overlapping loci. MiXeR revealed polygenic overlap between BIP and body mass index (BMI) (82%), diastolic and systolic blood pressure (20–22%) and CAD (11%) despite insignificant genetic correlations. Using conjunctional FDR |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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