Depression pathophysiology, risk prediction of recurrence and comorbid psychiatric disorders using genome-wide analyses.

doi:10.1038/s41591-023-02352-1

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Community

Back to search

Article

Depression pathophysiology, risk prediction of recurrence and comorbid psychiatric disorders using genome-wide analyses.

Nature medicine - 1 Jul 2023

Als Thomas D, Kurki Mitja I, Grove Jakob, Voloudakis Georgios, Therrien Karen, Tasanko Elisa, Nielsen Trine Tollerup, Naamanka Joonas, Veerapen Kumar, Levey Daniel F, Bendl Jaroslav, Bybjerg-Grauholm Jonas, Zeng Biao, Demontis Ditte, Rosengren Anders, Athanasiadis Georgios, Bækved-Hansen Marie, Qvist Per, Bragi Walters G, Thorgeirsson Thorgeir, Stefánsson Hreinn, Musliner Katherine L, Rajagopal Veera M, Farajzadeh Leila, Thirstrup Janne, Vilhjálmsson Bjarni J, McGrath John J, Mattheisen Manuel, Meier Sandra, Agerbo Esben, Stefánsson Kári, Nordentoft Merete, Werge Thomas, Hougaard David M, Mortensen Preben B, Stein Murray B, Gelernter Joel, Hovatta Iiris, Roussos Panos, Daly Mark J, Mors Ole, Palotie Aarno, Børglum Anders D

Abstract excerpt

Depression is a common psychiatric disorder and a leading cause of disability worldwide. Here we conducted a genome-wide association study meta-analysis of six datasets, including >1.3 million individuals (371,184 with depression) and identified 243 risk loci. Overall, 64 loci were new, including genes encoding glutamate and GABA receptors, which are targets for antidepressant drugs. Intersection with functional...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Attention Deficit Disorder with Hyperactivity

Share to Bipolar Disorder

Share to Depression

Share to Genetic Predisposition to Disease

Share to Genome-Wide Association Study

Share to Polymorphism, Single Nucleotide

Share to Schizophrenia

Source

Open in PubMed Open full text

Identifiers

PMID: 37464041
DOI: 10.1038/s41591-023-02352-1
PMCID: PMC10839245

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 2 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Depression pathophysiology, risk prediction of recurrence and comorbid psychiatric disorders using genome-wide analyses.PMID 37464041Read ↗

Identification of 64 new risk loci for major depression, refinement of the genetic architecture and risk prediction of recurrence and comorbiditiesSemantic proximity Read ↗

Reviewing the genetics of heterogeneity in depression: operationalizations, manifestations and etiologies.Semantic proximity Read ↗

The Australian Genetics of Depression Study: New Risk Loci and Dissecting Heterogeneity Between Subtypes.Semantic proximity Read ↗

The Role of Genetic Data in Dissecting Depression Heterogeneity.Semantic proximity Read ↗

The genetics of the mood disorder spectrum: genome-wide association analyses of over 185,000 cases and 439,000 controlsSemantic proximity Read ↗

Genome-wide association study of depression phenotypes in UK Biobank (n = 322,580) identifies the enrichment of variants in excitatory synaptic pathwaysSemantic proximity Read ↗

The genetics of major depression.Semantic proximity Read ↗

Genetic heterogeneity affects the risk of incident depression, comorbidity, and response to environment: A prospective trajectory study.Semantic proximity Read ↗

Genome-wide association analyses identify 44 risk variants and refine the genetic architecture of major depression.Semantic proximity Read ↗

Phenomic Network Analysis for Depression Reveals Comorbidity Architecture, Genomic Relationships, and Pleiotropic VariantsSemantic proximity Read ↗

The Genetics of the Mood Disorder Spectrum: Genome-wide Association Analyses of More Than 185,000 Cases and 439,000 ControlsSemantic proximity Read ↗

Trans-ancestry genome-wide study of depression identifies 697 associations implicating cell types and pharmacotherapies.Semantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.