Bivariate causal mixture model quantifies polygenic overlap between complex traits beyond genetic correlation

Oleksandr Frei; Dominic Holland; Olav B. Smeland; Alexey A. Shadrin; Chun Chieh Fan; Steffen Maeland; Kevin S. O’Connell; Yunpeng Wang; Srdjan Djurovic; Wesley K. Thompson; Ole A. Andreassen; Anders M. Dale

doi:10.1038/s41467-019-10310-0

Nature Communications (Jun 2019)

Bivariate causal mixture model quantifies polygenic overlap between complex traits beyond genetic correlation

Oleksandr Frei,
Dominic Holland,
Olav B. Smeland,
Alexey A. Shadrin,
Chun Chieh Fan,
Steffen Maeland,
Kevin S. O’Connell,
Yunpeng Wang,
Srdjan Djurovic,
Wesley K. Thompson,
Ole A. Andreassen,
Anders M. Dale

Affiliations

Oleksandr Frei: NORMENT, KG Jebsen Centre for Psychosis Research, Institute of Clinical Medicine, University of Oslo
Dominic Holland: Center for Multimodal Imaging and Genetics, University of California at San Diego
Olav B. Smeland: NORMENT, KG Jebsen Centre for Psychosis Research, Institute of Clinical Medicine, University of Oslo
Alexey A. Shadrin: NORMENT, KG Jebsen Centre for Psychosis Research, Institute of Clinical Medicine, University of Oslo
Chun Chieh Fan: Center for Multimodal Imaging and Genetics, University of California at San Diego
Steffen Maeland: NORMENT, KG Jebsen Centre for Psychosis Research, Institute of Clinical Medicine, University of Oslo
Kevin S. O’Connell: NORMENT, KG Jebsen Centre for Psychosis Research, Institute of Clinical Medicine, University of Oslo
Yunpeng Wang: NORMENT, KG Jebsen Centre for Psychosis Research, Institute of Clinical Medicine, University of Oslo
Srdjan Djurovic: Department of Medical Genetics, Oslo University Hospital
Wesley K. Thompson: Department of Family Medicine and Public Health, University of California, San Diego
Ole A. Andreassen: NORMENT, KG Jebsen Centre for Psychosis Research, Institute of Clinical Medicine, University of Oslo
Anders M. Dale: Center for Multimodal Imaging and Genetics, University of California at San Diego

DOI: https://doi.org/10.1038/s41467-019-10310-0
Journal volume & issue: Vol. 10, no. 1
pp. 1 – 11

Abstract

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To better understand the phenotypic relationships of complex traits it is also important to understand their genetic overlap. Here, Frei et al. develop MiXeR which uses GWAS summary statistics to evaluate the polygenic overlap between two traits irrespective of their genetic correlation.

Published in Nature Communications

ISSN: 2041-1723 (Online)
Publisher: Nature Portfolio
Country of publisher: United Kingdom
LCC subjects: Science
Website: https://www.nature.com/ncomms/

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