Unique genetic and risk-factor profiles in clusters of major depressive disorder-related multimorbidity trajectories

The heterogeneity and complexity of symptom presentation, comorbidities and genetic factors pose challenges to the identification of biological mechanisms underlying complex diseases. Current approaches used to identify biological subtypes of major depressive disorder (MDD) mainly focus on clinical...

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Veröffentlicht in:	Nature communications Jg. 15; H. 1; S. 7190 - 18
Hauptverfasser:	Gezsi, Andras, Van der Auwera, Sandra, Mäkinen, Hannu, Eszlari, Nora, Hullam, Gabor, Nagy, Tamas, Bonk, Sarah, González-Colom, Rubèn, Gonda, Xenia, Garvert, Linda, Paajanen, Teemu, Gal, Zsofia, Kirchner, Kevin, Millinghoffer, Andras, Schmidt, Carsten O., Bolgar, Bence, Roca, Josep, Cano, Isaac, Kuokkanen, Mikko, Antal, Peter, Juhasz, Gabriella
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London Nature Publishing Group UK 21.08.2024 Nature Publishing Group Nature Portfolio
Schlagworte:	45 45/43 631/114/1314 631/208/205/2138 692/308/2056 692/699/476/1414 692/700/478/174 Adult Aged Bayes Theorem Bayesian analysis Clusters Comorbidity Complexity Depressive Disorder, Major - epidemiology Depressive Disorder, Major - genetics Female Finland - epidemiology Genetic factors Genetic Predisposition to Disease Heritability Heterogeneity Humanities and Social Sciences Humans Life span Male Mathematical models Mental depression Middle Aged multidisciplinary Multimorbidity Risk Factors Science Science (multidisciplinary) Spain - epidemiology United Kingdom - epidemiology Young Adult United Kingdom Finland Spain
ISSN:	2041-1723, 2041-1723
Online-Zugang:	Volltext
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