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

Characterization of genome-wide association study data reveals spatiotemporal heterogeneity of mental disorders.

BMC medical genomics - 28 Dec 2020

Dai Yulin, O'Brien Timothy D, Pei Guangsheng, Zhao Zhongming, Jia Peilin

Abstract excerpt

BACKGROUND: Psychiatric disorders such as schizophrenia (SCZ), bipolar disorder (BIP), major depressive disorder (MDD), attention deficit-hyperactivity disorder (ADHD), and autism spectrum disorder (ASD) are often related to brain development. Both shared and unique biological and neurodevelopmental processes have been reported to be involved in these disorders. METHODS: In this work, we developed an integrative...

Read the complete abstract on PubMed

Topics

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

Share to Biomarkers
Share to Case-Control Studies
Share to Gene Regulatory Networks

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Genetic Predisposition to Disease

Share to Genome-Wide Association Study

Share to Mental Disorders

Share to Spatio-Temporal Analysis

Source

Open in PubMed Open full text

Identifiers

PMID: 33371872
DOI: 10.1186/s12920-020-00832-8
PMCID: PMC7771094

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

Characterization of genome-wide association study data reveals spatiotemporal heterogeneity of mental disorders.PMID 33371872Read ↗

Spatiotemporal brain transcriptomics reveal risk gene hot-spots in major neuropsychiatric disorders.Semantic proximity Read ↗

Distinct effect of prenatal and postnatal brain expression across 20 brain disorders and anthropometric social traits: a systematic study of spatiotemporal modularity.Semantic proximity Read ↗

Interactome modules underlie shared spatiotemporal patterns in specific psychiatric and neurodegenerative disordersSemantic proximity Read ↗

Temporal expression signatures of rare variant-harboring genes linked to autism, bipolar disorder, schizophrenia and epilepsy across neurodevelopmentSemantic proximity Read ↗

An integrative single-cell atlas to explore the cellular and temporal specificity of neurological disorder genes during human brain developmentSemantic proximity Read ↗

Autism genetics perturb prenatal neurodevelopment through a hierarchy of broadly-expressed and brain-specific genesSemantic proximity Read ↗

Integrative analysis of genome-wide association studies identifies novel loci associated with neuropsychiatric disorders.Semantic proximity Read ↗

Spatiotemporal Brain Transcriptomics Reveal Risk Gene Hot-Spots in Major Neuropsychiatric DisordersSemantic proximity Read ↗

Convergence and Divergence of Common and Rare Variants of Autism Spectrum Disorders in Tissue-specific Pathways and Gene NetworksSemantic proximity Read ↗

Convergence and divergence of genes informed by common and rare variants of autism spectrum disorders in tissue-specific pathways and gene networks.Semantic proximity Read ↗

A large-scale integrative analysis of GWAS and common meQTLs across whole life course identifies genes, pathways and tissue/cell types for three major psychiatric disorders.Semantic proximity Read ↗

Convergent roles of de novo mutations and common variants in schizophrenia in tissue-specific and spatiotemporal co-expression network.Semantic proximity Read ↗

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