Article

Multi-omics integration prioritizes potential drug targets for multiple sclerosis

2024-09-27

Abstract excerpt

<h4>Background and Objectives</h4> Multiple sclerosis (MS) is a chronic autoimmune disease with limited treatment options. Thus, drug discovery and repurposing are essential to enhance treatment efficacy and safety. <h4>Methods</h4> We obtained summary statistics for protein quantitative trait loci (pQTL) of 2,004 plasma proteins and 1,443 brain proteins, a genome-wide association study (GWAS) of MS susceptibili...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: afd05f0b-66c5-52a8-a6a5-6ccd31de4a46
DOI: 10.1101/2024.09.26.24314450

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Multi-omics integration prioritizes potential drug targets for multiple sclerosisDOI 10.1101/2024.09.26.24314450Read

Multiomics integration prioritizes potential drug targets for multiple sclerosisSemantic proximity Read

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

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

Multi-Omics Integration Analysis Pinpoint Proteins Influencing Brain Structure and Function: Toward Drug Targets and Neuroimaging Biomarkers for Neuropsychiatric Disorders.Semantic proximity Read

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

Integration of genomic variants and bioinformatic-based approach to drive drug repurposing for 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

Disentangling multiple sclerosis phenotypes through Mendelian disorders: A network approach.Semantic proximity Read

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

Integrating Genomic, eQTL, and Mendelian Randomization Analyses to Identify Microglial Drug Targets in Multiple Sclerosis.Semantic proximity Read

Network-based analysis of differentially expressed genes in cerebrospinal fluid (CSF) and blood reveals new candidate genes for multiple sclerosisSemantic proximity Read

Mendelian randomization and colocalization analysis reveal novel drug targets for myasthenia gravis.Semantic proximity Read