Molecular genetic overlap in bipolar disorder, schizophrenia, and major depressive disorder

Schulze, Thomas G. and Akula, Nirmala and Breuer, René and Steele, Jo and Nalls, Michael A. and Singleton, Andrew B. and Degenhardt, Franziska A. and Nöthen, Markus M. and Cichon, Sven and Rietschel, Marcella and The Bipolar Genome Study, and McMahon, Francis J.. (2014) Molecular genetic overlap in bipolar disorder, schizophrenia, and major depressive disorder. The World Journal of Biological Psychiatry, 15 (3). pp. 200-208.

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Official URL: https://edoc.unibas.ch/61583/

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Genome-wide association studies (GWAS) in complex phenotypes, including psychiatric disorders, have yielded many replicated findings, yet individual markers account for only a small fraction of the inherited differences in risk. We tested the performance of polygenic models in discriminating between cases and healthy controls and among cases with distinct psychiatric diagnoses. GWAS results in bipolar disorder (BD), major depressive disorder (MDD), schizophrenia (SZ), and Parkinson's disease (PD) were used to assign weights to individual alleles, based on odds ratios. These weights were used to calculate allele scores for individual cases and controls in independent samples, summing across many single nucleotide polymorphisms (SNPs). How well allele scores discriminated between cases and controls and between cases with different disorders was tested by logistic regression. Large sets of SNPs were needed to achieve even modest discrimination between cases and controls. The most informative SNPs were overlapping in BD, SZ, and MDD, with correlated effect sizes. Little or no overlap was seen between allele scores for psychiatric disorders and those for PD. BD, SZ, and MDD all share a similar polygenic component, but the polygenic models tested lack discriminative accuracy and are unlikely to be useful for clinical diagnosis.
Faculties and Departments:03 Faculty of Medicine > Departement Biomedizin > Department of Biomedicine, University Hospital Basel > Human Genetics (Cichon)
UniBasel Contributors:Cichon, Sven
Item Type:Article, refereed
Article Subtype:Research Article
Publisher:Taylor & Francis
Note:Publication type according to Uni Basel Research Database: Journal article
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Last Modified:09 Dec 2020 16:51
Deposited On:09 Dec 2020 16:51

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