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

Brain proteome‐wide association study linking‐genes in multiple sclerosis pathogenesis

7 Dec 2022

Abstract excerpt

Abstract Objectives To identify genes that confer MS risk via the alteration of cis‐regulated protein abundance and verify their aberrant expression in human brain. Methods Utilizing a two‐stage proteome‐wide association study (PWAS) design, MS GWAS data (N = 41,505) was respectively integrated with two distinct human brain proteomes from the dorsolateral prefrontal cortex, including ROSMAP (N = 376) in the...

Read the complete abstract on PubMed

Topics

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

Share to Bioinformatics and Genomic Networks
Share to Genetic Associations and Epidemiology
Share to Multiple Sclerosis Research Studies

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Source

Identifiers

PMID: 36475386
DOI: 10.1002/acn3.51699

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Brain proteome‐wide association study linking‐genes in multiple sclerosis pathogenesisPMID 36475386Read ↗

Multiomics integration prioritizes potential drug targets for multiple sclerosisSemantic proximity Read ↗

Multi-omics integration prioritizes potential drug targets for multiple sclerosisSemantic proximity Read ↗

Novel plasma and brain proteins that are implicated in multiple sclerosisSemantic proximity Read ↗

Integrated multi-omics and machine learning prioritize key immune genes for multiple sclerosis risk prediction.Semantic proximity Read ↗

Genetic-Proteomic Integration Identifies Predictive Plasma Proteins for Multiple Sclerosis.Semantic proximity Read ↗

MS Atlas - A molecular map of brain lesion stages in progressive multiple sclerosisSemantic proximity Read ↗

The multiple sclerosis whole blood mRNA transcriptome and genetic associations indicate dysregulation of specific T cell pathways in pathogenesis.Semantic proximity Read ↗

Genome‐wide association studies of multiple sclerosisSemantic proximity Read ↗

Unveiling the Molecular Landscape: Network Analysis of Genes, Proteins, and Transcription Factors in Primary Progressive and Secondary Progressive Multiple Sclerosis for Unraveling Disease Progression and Prognostic FactorsSemantic proximity Read ↗

The genetic architecture of multiple sclerosis in 2026: From susceptibility to disease progression.Semantic proximity Read ↗

Integration of epigenetic and genetic profiles identifies multiple sclerosis disease-critical cell types and genes.Semantic proximity Read ↗

Identification of novel drug targets for multiple sclerosis by integrating plasma genetics and proteomes.Semantic proximity Read ↗

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