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ORCID: https://orcid.org/0000-0001-7073-2379, Oedegaard, Ketil J., Owen, Michael J. ORCID: https://orcid.org/0000-0003-4798-0862, Paciga, Sara A., Pato, Carlos, Pato, Michele T., Posthuma, Danielle, Ramos-Quiroga, Josep Antoni, Ribasés, Marta, Rietschel, Marcella, Rouleau, Guy A., Schalling, Martin, Schofield, Peter R., Schulze, Thomas G., Serretti, Alessandro, Smoller, Jordan W., Stefansson, Hreinn, Stefansson, Kari, Stordal, Eystein, Sullivan, Patrick F., Turecki, Gustavo, Vaaler, Arne E., Vieta, Eduard, Vincent, John B., Werge, Thomas, Nurnberger, John I., Wray, Naomi R., Di Florio, Arianna ORCID: https://orcid.org/0000-0003-0338-2748, Edenberg, Howard J., Cichon, Sven, Ophoff, Roel A., Scott, Laura J., Andreassen, Ole A., Kelsoe, John and Sklar, Pamela 2019. Genome-wide association study identifies 30 loci associated with bipolar disorder. Nature Genetics 51 , pp. 793-803. 10.1038/s41588-019-0397-8 |
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Abstract
Bipolar disorder is a highly heritable psychiatric disorder. We performed a genome-wide association study (GWAS) including 20,352 cases and 31,358 controls of European descent, with follow-up analysis of 822 variants with P < 1 × 10−4 in an additional 9,412 cases and 137,760 controls. Eight of the 19 variants that were genome-wide significant (P < 5 × 10−8) in the discovery GWAS were not genome-wide significant in the combined analysis, consistent with small effect sizes and limited power but also with genetic heterogeneity. In the combined analysis, 30 loci were genome-wide significant, including 20 newly identified loci. The significant loci contain genes encoding ion channels, neurotransmitter transporters and synaptic components. Pathway analysis revealed nine significantly enriched gene sets, including regulation of insulin secretion and endocannabinoid signaling. Bipolar I disorder is strongly genetically correlated with schizophrenia, driven by psychosis, whereas bipolar II disorder is more strongly correlated with major depressive disorder. These findings address key clinical questions and provide potential biological mechanisms for bipolar disorder.
Item Type: | Article |
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Date Type: | Publication |
Status: | Published |
Schools: | Medicine MRC Centre for Neuropsychiatric Genetics and Genomics (CNGG) |
Additional Information: | Bipolar Disorder Working Group of the Psychiatric Genomics Consortium |
Publisher: | Nature |
ISSN: | 1061-4036 |
Date of First Compliant Deposit: | 8 May 2019 |
Date of Acceptance: | 18 March 2019 |
Last Modified: | 06 Nov 2024 21:45 |
URI: | https://orca.cardiff.ac.uk/id/eprint/122269 |
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