ArticleBrain : a journal of neurology2025
Mendelian randomization identifies proteins involved in neurodegenerative diseases.
Article in Brain : a journal of neurology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed.
- Genetic Prioritization of Plasma Proteins Across Dementia Subtypes: A Proteome-Wide Mendelian Randomization and Bayesian Colocalization Analysis.Cellular and molecular neurobiology · 2026Article
- Sex-aware causal inference assessment of the immune system in complex neurodegenerative diseases.Brain : a journal of neurology · 2026Article
- Genetic-Proteomic Integration Identifies Predictive Plasma Proteins for Multiple Sclerosis.Annals of neurology · 2026Article
- Transcending genome-wide association studies to create useful multi-omic views of glaucoma.Progress in retinal and eye research · 2026Review
- Investigating causal associations among inflammatory proteins, blood metabolites, and Alzheimer's disease risk.BMC psychiatry · 2026Article
- Integrating single-cell transcriptomics and epigenetics in a multi-omics MR framework identifies PARK7 as a causal gene in streptococcal septicemia.Epigenetics & chromatin · 2026Article
- Genetic analysis of neurodegenerative diseases.The Journal of clinical investigation · 2026Review
- Article
- Association between leukemic immunophenotype and overall survival in patients with acute promyelocytic leukemia: a retrospective cohort study.Frontiers in cell and developmental biology · 2026Article
- Interleukin-6, CD8Frontiers in aging neuroscience · 2026Review
- Causal effect of obesity on cataract and mediating roles of metabolites: a Mendelian randomization study.International journal of ophthalmology · 2026Article
- Redefining ALS: Large-scale proteomic profiling reveals a prolonged pre-diagnostic phase with immune, muscular, metabolic, and brain involvement.Research square · 2025Article
- Redefining ALS: Large-scale proteomic profiling reveals a prolonged pre-diagnostic phase with immune, muscular, metabolic, and brain involvement.medRxiv : the preprint server for health sciences · 2025Article
- fSuSiE enables fine-mapping of QTLs from genome-scale molecular profiles.bioRxiv : the preprint server for biology · 2025Article
- Large-scale plasma proteomics uncovers preclinical molecular signatures of Parkinson's disease and overlap with other neurodegenerative disorders.medRxiv : the preprint server for health sciences · 2025Article
- A multi-omics approach combining causal inference andFrontiers in immunology · 2025Article
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5 authors.
Funding
Abstract
Proteins are involved in multiple biological functions. High-throughput technologies have allowed the measurement of thousands of proteins in population biobanks. In this study, we aimed to identify proteins related to Alzheimer's disease, Parkinson's disease, multiple sclerosis and amyotrophic lateral sclerosis by leveraging large-scale genetic and proteomic data. We performed a two-sample cis Mendelian randomization study by selecting instrumental variables for the abundance of >2700 proteins measured by either Olink or SomaScan platforms in plasma from the UK Biobank and the deCODE Health Study. We also used the latest publicly available genome-wide association studies for the neurodegenerative diseases of interest. The potentially causal effect of proteins on neurodegenerative diseases was estimated based on the Wald ratio. We tested 13 377 protein-disease associations, identifying 169 associations that were statistically significant (5% false discovery rate). Evidence of co-localization between plasma protein abundance and disease risk (posterior probability > 0.80) was identified for 61 protein-disease pairs, leading to 50 unique protein-disease associations. Notably, 23 of 50 protein-disease associations corresponded to genetic loci not previously reported by genome-wide association studies. The two-sample Mendelian randomization and co-localization analysis also showed that APOE abundance in plasma was associated with three subcortical volumes (hippocampus, amygdala and nucleus accumbens) and white matter hyper-intensities, whereas PILRA and PILRB abundance in plasma was associated with caudate nucleus volume. Our study provided a comprehensive assessment of the effect of the human proteome that is currently measurable through two different platforms on neurodegenerative diseases. The newly associated proteins indicated the involvement of complement (C1S and C1R), microglia (SIRPA, SIGLEC9 and PRSS8) and lysosomes (CLN5) in Alzheimer's disease; the interleukin-6 pathway (CTF1) in Parkinson's disease; lysosomes (TPP1), blood-brain barrier integrity (MFAP2) and astrocytes (TNFSF13) in amyotrophic lateral sclerosis; and blood-brain barrier integrity (VEGFB), oligodendrocytes (PARP1), node of Ranvier and dorsal root ganglion (NCS1, FLRT3 and CDH15) and the innate immune system (CR1, AHSG and WARS) in multiple sclerosis. Our study demonstrates how harnessing large-scale genomic and proteomic data can yield new insights into the role of the plasma proteome in the pathogenesis of neurodegenerative diseases.
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