Impact of gene-by-trauma interaction in MDD-related multimorbidity clusters

Bonk, Sarah; Eszlari, Nora; Kirchner, Kevin; Gezsi, Andras; Garvert, Linda; Kuokkanen, Mikko; Cano, Isaac; Grabe, Hans J.; Antal, Peter; Juhasz, Gabriella; Van der Auwera, Sandra

doi:10.1016/j.jad.2024.05.126

Journal of Affective Disorders

2024

DOI: 10.1016/j.jad.2024.05.126

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Impact of gene-by-trauma interaction in MDD-related multimorbidity clusters

Sarah Bonk,

Nora Eszlari,

Kevin Kirchner

et al.

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2024

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Cited by 2 publications

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Association of single nucleotide polymorphisms and gene-environment interactions with major depressive disorder in Chinese

Luan,

Li,

Zhang

et al. 2024

Heliyon

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Association of single nucleotide polymorphisms and gene-environment interactions with major depressive disorder in Chinese

Luan,

Li,

Zhang

et al. 2024

Heliyon

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

Gezsi,

Van der Auwera,

Mäkinen

et al. 2024

Nat Commun

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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 characteristics that cannot be linked to specific biological models. Here, we examined multimorbidities to identify MDD subtypes with distinct genetic and non-genetic factors. We leveraged dynamic Bayesian network approaches to determine a minimal set of multimorbidities relevant to MDD and identified seven clusters of disease-burden trajectories throughout the lifespan among 1.2 million participants from cohorts in the UK, Finland, and Spain. The clusters had clear protective- and risk-factor profiles as well as age-specific clinical courses mainly driven by inflammatory processes, and a comprehensive map of heritability and genetic correlations among these clusters was revealed. Our results can guide the development of personalized treatments for MDD based on the unique genetic, clinical and non-genetic risk-factor profiles of patients.

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Impact of gene-by-trauma interaction in MDD-related multimorbidity clusters

Cited by 2 publications

References 60 publications

Association of single nucleotide polymorphisms and gene-environment interactions with major depressive disorder in Chinese

Association of single nucleotide polymorphisms and gene-environment interactions with major depressive disorder in Chinese

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

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