ArticleJournal of translational medicine2024
Integrative multi-omics analysis identifies genetically supported druggable targets and immune cell specificity for myasthenia gravis.
Article in Journal of translational medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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Who cites it
7 citing papers in PubMed, 9 citations in OpenAlex.
- Article
- Genetic prioritisation of candidate drug targets for glaucoma through multi-trait and multi-omics integration.Eye and vision (London, England) · 2025Article
- Systematic Druggable-Proteome-Wide Mendelian Randomization Identifies Potential Therapeutic Targets for Allergic Conjunctivitis.Translational vision science & technology · 2025Article
- Systematic druggable genome-wide Mendelian randomization identifies therapeutic targets for osteoporosis.Osteoporosis and sarcopenia · 2025Article
- Role of circulating inflammatory protein in the development of diabetic renal complications: proteome-wide Mendelian randomization and colocalization analyses.Frontiers in endocrinology · 2024Article
- Advances in the genetics of myasthenia gravis: insights from cutting-edge neuroscience research.Frontiers in medicine · 2024Review
- Myasthenia gravis complicated with autoimmune encephalitis: a review.Frontiers in neurologyReview
Corrections and comments
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Authors and funding
15 authors at 3 institutions in 3 countries.
Funding
Abstract
backgroundMyasthenia gravis (MG) is a chronic autoimmune disorder characterized by fluctuating muscle weakness. Despite the availability of established therapies, the management of MG symptoms remains suboptimal, partially attributed to lack of efficacy or intolerable side-effects. Therefore, new effective drugs are warranted for treatment of MG.
methodsBy employing an analytical framework that combines Mendelian randomization (MR) and colocalization analysis, we estimate the causal effects of blood druggable expression quantitative trait loci (eQTLs) and protein quantitative trait loci (pQTLs) on the susceptibility of MG. We subsequently investigated whether potential genetic effects exhibit cell-type specificity by utilizing genetic colocalization analysis to assess the interplay between immune-cell-specific eQTLs and MG risk.
resultsWe identified significant MR results for four genes (CDC42BPB, CD226, PRSS36, and TNFSF12) using cis-eQTL genetic instruments and three proteins (CTSH, PRSS8, and CPN2) using cis-pQTL genetic instruments. Six of these loci demonstrated evidence of colocalization with MG susceptibility (posterior probability > 0.80). We next undertook genetic colocalization to investigate cell-type-specific effects at these loci. Notably, we identified robust evidence of colocalization, with a posterior probability of 0.854, linking CTSH expression in T
conclusionsThis study provides crucial insights into the genetic and molecular factors associated with MG susceptibility, singling out CTSH as a potential candidate for in-depth investigation and clinical consideration. It additionally sheds light on the immune-cell regulatory mechanisms related to the disease. However, further research is imperative to validate these targets and evaluate their feasibility for drug development.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.