This study examined multimorbidities to identify Major Depressive Disorder (MDD) subtypes with distinct genetic and non-genetic factors. Using dynamic Bayesian network approaches on 1.2 million participants from the UK, Finland, and Spain, seven clusters of disease-burden trajectories were identified. These clusters showed unique protective and risk-factor profiles, age-specific clinical courses driven by inflammatory processes, and a comprehensive map of heritability and genetic correlations. The findings can guide personalized MDD treatments.
Publisher
Nature Communications
Published On
Aug 21, 2024
Authors
Andras Gezsi, Sandra Van der Auwera, Hannu Mäkinen, Nora Eszlár, Gábor Hullam, Tamás Nagy, Sarah Bonk, Rubèn González-Colom, Xenia Gonda, Linda Garvert, Teemu Paajanen, Zsófia Gal, Kevin Kirchner, András Millinghoffer, Carsten O. Schmidt, Bence Bolgár, Josep Roca, Isaac Cano, Mikko Kuokkanen, Peter Antal, Gabriella Juhász
Tags
Major Depressive Disorder
multimorbidities
genetic factors
non-genetic factors
Bayesian network
personalized treatment
disease-burden trajectories
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