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

Genome-wide meta-analyses of stratified depression in Generation Scotland and UK Biobank.

Translational psychiatry - 10 Jan 2018

Hall Lynsey S, Adams Mark J, Arnau-Soler Aleix, Clarke Toni-Kim, Howard David M, Zeng Yanni, Davies Gail, Hagenaars Saskia P, Maria Fernandez-Pujals Ana, Gibson Jude, Wigmore Eleanor M, Boutin Thibaud S, Hayward Caroline, Scotland Generation, Porteous David J, Deary Ian J, Thomson Pippa A, Haley Chris S, McIntosh Andrew M

Abstract excerpt

Few replicable genetic associations for Major Depressive Disorder (MDD) have been identified. Recent studies of MDD have identified common risk variants by using a broader phenotype definition in very large samples, or by reducing phenotypic and ancestral heterogeneity. We sought to ascertain whether it is more informative to maximize the sample size using data from all available cases and controls, or to use a...

Read the complete abstract on PubMed

Topics

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

Share to Biological Specimen Banks
Share to Depressive Disorder, Major

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Genome-Wide Association Study

Share to Logistic Models

Share to Multifactorial Inheritance

Share to Risk Factors

Share to Scotland

Share to United Kingdom

Source

Open in PubMed Open full text

Identifiers

PMID: 29317602
DOI: 10.1038/s41398-017-0034-1
PMCID: PMC5802463

Genes

CRTAP
GLB1
TMPPE

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 5 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Genome-wide meta-analyses of stratified depression in Generation Scotland and UK Biobank.PMID 29317602Read ↗

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

Genome-wide haplotype-based association analysis of major depressive disorder in Generation Scotland and UK Biobank.Semantic proximity Read ↗

Genome-wide haplotype-based association analysis of major depressive disorder in Generation Scotland and UK BiobankSemantic proximity Read ↗

Epidemiology and Heritability of Major Depressive Disorder, Stratified by Age of Onset, Sex, and Illness Course in Generation Scotland: Scottish Family Health Study (GS:SFHS).Semantic proximity Read ↗

Genome-wide association analyses identify 44 risk variants and refine the genetic architecture of major depressive disorderSemantic proximity Read ↗

A sex-specific genome-wide association study of depression phenotypes in UK Biobank.Semantic proximity Read ↗

Genome-wide Regional Heritability Mapping Identifies a Locus Within the TOX2 Gene Associated With Major Depressive Disorder.Semantic proximity Read ↗

Genetic stratification of depression in UK Biobank suggests a subgroup linked to age of natural menopauseSemantic proximity Read ↗

A Sex-Specific Genome-Wide Association Study of Depression Phenotypes in UK BiobankSemantic proximity Read ↗

Multiple measures of depression to enhance validity of Major Depressive Disorder in the UK BiobankSemantic proximity Read ↗

Multiple measures of depression to enhance validity of major depressive disorder in the UK BiobankSemantic proximity Read ↗

Genetic effects influencing risk for major depressive disorder in China and Europe.Semantic proximity Read ↗

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