Discover Community Create You

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

Article

[Identification of novel genetic loci associated with major depressive disorder and the hippocampus in a European population using the condFDR method].

Zhonghua yi xue yi chuan xue za zhi = Zhonghua yixue yichuanxue zazhi = Chinese journal of medical genetics - 10 Jul 2024

Du Qing, Yu Minglan, Liang Xuemei, Wang Tingting, He Rongfang, Lei Wei, Chen Jing, Huang Chaohua, Liu Kezhi, Xiang Bo

Abstract excerpt

OBJECTIVE: To identify additional loci associated with depression and the hippocampus (HIP) through genome-wide association study. METHODS: The depression-related genome-wide association study (GWAS) meta summary data was downloaded from the official website of the Psychiatric Genomics Consortium, which had involved 170 756 cases and 329 443 controls. The left and right hippocampal volume GWAS data sets were...

Read the complete abstract on PubMed

Topics

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

Share to Depressive Disorder, Major
Share to Genetic Loci

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Genetic Predisposition to Disease

Share to Genome-Wide Association Study

Share to Hippocampus

Share to Polymorphism, Single Nucleotide

Share to United Kingdom

Share to White People

Source

Identifiers

PMID: 38946356
DOI: 10.3760/cma.j.cn511374-20230515-00285

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 6 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

[Identification of novel genetic loci associated with major depressive disorder and the hippocampus in a European population using the condFDR method].PMID 38946356Read ↗

Association between polygenic risk for Major Depression and brain structure in a mega-analysis of 50,975 participants across 11 studies.Semantic proximity Read ↗

Investigating the shared genetic architecture between depression and subcortical volumes.Semantic proximity Read ↗

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

A phenome-wide association and Mendelian Randomisation study of polygenic risk for depression in UK Biobank.Semantic proximity Read ↗

Genome-wide analysis identifies novel shared loci between depression and white matter microstructureSemantic proximity Read ↗

GWAS of Depression Phenotypes in the Million Veteran Program and Meta-analysis in More than 1.2 Million Participants Yields 178 Independent Risk LociSemantic proximity Read ↗

Genetics of Depression: Progress at Last.Semantic proximity Read ↗

Genome-wide association studies in non-anxiety individuals identified novel risk loci for depression.Semantic proximity Read ↗

GWAS-identified risk variants for major depressive disorder: Preliminary support for an association with late-life depressive symptoms and brain structural alterations.Semantic proximity Read ↗

Do regional brain volumes and major depressive disorder share genetic architecture? A study of Generation Scotland (n=19 762), UK Biobank (n=24 048) and the English Longitudinal Study of Ageing (n=5766).Semantic proximity Read ↗

Multivariate genome-wide association study of depression, cognition, and memory phenotypes and validation analysis identify 12 cross-ethnic variants.Semantic proximity Read ↗

Novel polygenic risk score links depression-related cortical transcriptomic changes to brain morphology and symptom severitySemantic proximity Read ↗

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