Back to search

Article

Unique genetic and risk-factor profiles in multimorbidity clusters of depression-related disease trajectories from a study of 1.2 million subjects

2023-08-02

Abstract excerpt

<title>Abstract</title> <p>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 mu...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
53b97f22-c924-5e03-b8a1-4430aa307419
DOI
10.21203/rs.3.rs-3199113/v1
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Unique genetic and risk-factor profiles in multimorbidity clusters of depression-related disease trajectories from a study of 1.2 million subjectsDOI 10.21203/rs.3.rs-3199113/v1
Unique genetic and risk-factor profiles in clusters of major depressive disorder-related multimorbidity trajectories.Semantic proximity
Genetic heterogeneity affects the risk of incident depression, comorbidity, and response to environment: A prospective trajectory study.Semantic proximity
Phenome-wide investigation of bidirectional causal relationships between major depressive disorder and common human diseases.Semantic proximity
Topological data analysis communities reveal gene-environment-brain subtypes of major depression in UK Biobank and multi-site cohortsSemantic proximity
Sex-specific and multiomic integration enhance accuracy of peripheral blood biomarkers of major depressive disorderSemantic proximity
Clinical stratification of Major Depressive Disorder in the UK Biobank: A gene-environment-brain Topological Data AnalysisSemantic proximity
Polygenic risk for immuno-metabolic markers and specific depressive symptoms: A multi-sample network analysis studySemantic proximity
Dissecting biological heterogeneity in major depressive disorder based on neuroimaging subtypes with multi-omics dataSemantic proximity
Prediction of susceptibility to major depression by a model of interactions of multiple functional genetic variants and environmental factors.Semantic proximity
Symptom-specific genetics reveal heterogeneity within major depressive disorderSemantic proximity
Distinct genomic signatures and modifiable risk factors underly the comorbidity between major depressive disorder and cardiovascular diseaseSemantic proximity
ENIGMA MDD: Seven Years of Global Neuroimaging Studies of Major Depression through Worldwide Data SharingSemantic proximity
Select a neighboring publication to make it the new centre.