Research
Print page Print page
Switch language
The Capital Region of Denmark - a part of Copenhagen University Hospital
Published

Deep learning-based integration of genetics with registry data for stratification of schizophrenia and depression

Research output: Contribution to journalJournal articlepeer-review

DOI

  1. Mutations in BCOR, a co-repressor of CRX/OTX2, are associated with early-onset retinal degeneration

    Research output: Contribution to journalJournal articlepeer-review

  2. H3K9 dimethylation safeguards cancer cells against activation of the interferon pathway

    Research output: Contribution to journalJournal articlepeer-review

  3. Systematic dissection of transcriptional regulatory networks by genome-scale and single-cell CRISPR screens

    Research output: Contribution to journalJournal articlepeer-review

  4. Ketogenic diet reduces alcohol withdrawal symptoms in humans and alcohol intake in rodents

    Research output: Contribution to journalJournal articlepeer-review

View graph of relations

Currently, psychiatric diagnoses are, in contrast to most other medical fields, based on subjective symptoms and observable signs and call for new and improved diagnostics to provide the most optimal care. On the basis of a deep learning approach, we performed unsupervised patient stratification of 19,636 patients with depression [major depressive disorder (MDD)] and/or schizophrenia (SCZ) and 22,467 population controls from the iPSYCH2012 case cohort. We integrated data of disorder severity, history of mental disorders and disease comorbidities, genetics, and medical birth data. From this, we stratified the individuals in six and seven unique clusters for MDD and SCZ, respectively. When censoring data until diagnosis, we could predict MDD clusters with areas under the curve (AUCs) of 0.54 to 0.80 and SCZ clusters with AUCs of 0.71 to 0.86. Overall cases and controls could be predicted with an AUC of 0.81, illustrating the utility of data-driven subgrouping in psychiatry.

Original languageEnglish
JournalScience Advances
Volume8
Issue number26
Pages (from-to)eabi7293
DOIs
Publication statusPublished - Jul 2022

    Research areas

  • Deep Learning, Depression/genetics, Depressive Disorder, Major/diagnosis, Humans, Registries, Schizophrenia/diagnosis

ID: 79545534