Polygenic overlap and shared genetic loci between loneliness, severe mental disorders, and cardiovascular disease risk factors suggest shared molecular mechanisms

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作者
Linn Rødevand
Shahram Bahrami
Oleksandr Frei
Aihua Lin
Osman Gani
Alexey Shadrin
Olav B. Smeland
Kevin S. O’ Connell
Torbjørn Elvsåshagen
Adriano Winterton
Daniel S. Quintana
Guy F. L. Hindley
Maren C. F. Werner
Srdjan Djurovic
Anders M. Dale
Trine V. Lagerberg
Nils Eiel Steen
Ole A. Andreassen
机构
[1] University of Oslo,NORMENT, Centre for Mental Disorders Research, Division of Mental Health and Addiction, Oslo University Hospital, and Institute of Clinical Medicine
[2] University of Oslo,Center for Bioinformatics, Department of Informatics
[3] Oslo University Hospital,Department of Neurology
[4] University of Oslo,Department of Psychology
[5] University of Oslo,KG Jebsen Centre for Neurodevelopmental Disorders
[6] King’s College London,Institute of Psychiatry, Psychology and Neuroscience
[7] Oslo University Hospital,Department of Medical Genetics
[8] University of Bergen,NORMENT Centre, Department of Clinical Science
[9] University of California San Diego,Department of Radiology
[10] University of California San Diego,Multimodal Imaging Laboratory
[11] University of California San Diego,Department of Psychiatry
[12] University of California San Diego,Department of Neurosciences
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摘要
Clinical and epidemiological evidence suggest that loneliness is associated with severe mental disorders (SMDs) and increases the risk of cardiovascular disease (CVD). However, the mechanisms underlying the relationship between loneliness, SMDs, and CVD risk factors remain unknown. Here we explored overlapping genetic architecture and genetic loci shared between SMDs, loneliness, and CVD risk factors. We analyzed large independent genome-wide association study data on schizophrenia (SCZ), bipolar disorder (BD), major depression (MD), loneliness and CVD risk factors using bivariate causal mixture mode (MiXeR), which estimates the total amount of shared variants, and conditional false discovery rate to evaluate overlap in specific loci. We observed substantial genetic overlap between SMDs, loneliness and CVD risk factors, beyond genetic correlation. We identified 149 loci jointly associated with loneliness and SMDs (MD n = 67, SCZ n = 54, and BD n = 28), and 55 distinct loci jointly associated with loneliness and CVD risk factors. A total of 153 novel loneliness loci were found. Most of the shared loci possessed concordant effect directions, suggesting that genetic risk for loneliness may increase the risk of both SMDs and CVD. Functional analyses of the shared loci implicated biological processes related to the brain, metabolic processes, chromatin and immune system. Altogether, the study revealed polygenic overlap between loneliness, SMDs and CVD risk factors, providing new insights into their shared genetic architecture and common genetic mechanisms.
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