ArticleNature genetics2025
Genome-wide association analyses identify distinct genetic architectures for early-onset and late-onset depression.
Article in Nature genetics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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Who cites it
7 citing papers in PubMed.
- Shared genetic architecture across social disconnection, social disadvantage, and psychiatric and neurodevelopmental traits.European archives of psychiatry and clinical neuroscience · 2026Article
- Genetic interconnections between personality-related phenotypes and psychiatric disorders.European archives of psychiatry and clinical neuroscience · 2026Article
- Characterizing the Uncertainty, Misclassification and Inconsistency of Polygenic Prediction.medRxiv : the preprint server for health sciences · 2026Article
- The role of rare copy number variants in early-onset depression.JCPP advances · 2026Article
- Symptom-specific genetics reveal heterogeneity within major depressive disorder.medRxiv : the preprint server for health sciences · 2026Article
- Integrative analysis via bioinformatics and machine learning identifies SERPING1 as a biomarker candidate for major depressive disorder.BMC psychiatry · 2026Article
- Depression genetics through the lens of age at onset.Nature genetics · 2025Article
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Authors and funding
32 authors.
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Abstract
Major depressive disorder (MDD) is a common and heterogeneous disorder of complex etiology. Studying more homogeneous groups stratified according to clinical characteristics, such as age of onset, can improve the identification of the underlying genetic causes and lead to more targeted treatment strategies. We leveraged Nordic biobanks with longitudinal health registries to investigate differences in the genetic architectures of early-onset (eoMDD; n = 46,708 cases) and late-onset (loMDD; n = 37,168 cases) MDD. We identified 12 genomic loci for eoMDD and two for loMDD. Overall, the two MDD subtypes correlated moderately (genetic correlation, r
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