Mapping the serum proteome to neurological diseases using whole genome sequencing
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Despite the increasing global burden of neurological disorders, there is a lack of effective diagnostic and therapeutic biomarkers. Proteins are often dysregulated in disease and have a strong genetic component. Here, we carry out a protein quantitative trait locus analysis of 184 neurologically-relevant proteins, using whole genome sequencing data from two isolated population-based cohorts (N = 2893). In doing so, we elucidate the genetic landscape of the circulating proteome and its connection to neurological disorders. We detect 214 independently-associated variants for 107 proteins, the majority of which (76%) are cis-acting, including 114 variants that have not been previously identified. Using two-sample Mendelian randomisation, we identify causal associations between serum CD33 and Alzheimer’s disease, GPNMB and Parkinson’s disease, and MSR1 and schizophrenia, describing their clinical potential and highlighting drug repurposing opportunities.
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Integrating human genomics and proteomics can help elucidate disease mechanisms, identify clinical biomarkers and discover drug targets.
“Integrating human genomics and proteomics can help elucidate disease mechanisms, identify clinical biomarkers and discover drug targets1–4.”
From Rare variant associations with plasma protein levels in the UK Biobank (2023) · cites this paper as [4]
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Rare variant associations with plasma protein levels in the UK Biobank
Dhindsa, R. S., Burren, O. S., Sun, B. B., Prins, B. P., Matelska, D., Wheeler, E., Mitchell, J., Oerton, E., Hristova, V. A., Smith, K. R., et al. (2023) · Nature · doi:10.1038/s41586-023-06547-x · Cited by 193 · see citing works
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- Authors
- Png, G., Barysenka, A., Repetto, L., Navarro, P., Shen, X., Pietzner, M., Wheeler, E., Wareham, N. J., Langenberg, C., Tsafantakis, E., Karaleftheri, M., Dedoussis, G., Mälarstig, A., Wilson, J. F., Gilly, A., & Zeggini, E.
- Affiliations
- TUM Klinikum (DE)
- Helmholtz Munich (DE)
- University of Edinburgh (GB)
- Institute of Genetics and Cancer (GB)
- Fudan University (CN)
- University of Cambridge (GB)
- Harokopio University of Athens (GR)
- Pfizer (United States) (US)
- Corresponding author
- Png, Grace
- Zeggini, Eleftheria
- ORCID
- Venue
- Nature Communications
- Published
- 2021-12-02
- Volume
- 12
- Issue
- 1
- Pages
- 7042-7042
- ISSN
- 2041-1723 (ISSN-L)
- PMC
- PMC8640022
- OpenAlex
- W3217370940
- Cited by
- 55
- References
- 11
- Citations by year
- 2026: 2 · 2025: 14 · 2024: 10 · 2023: 18 · 2022: 11
- FWCI
- 5.51
- Type
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- Language
- en
- Open access
- gold
- doi.org
- Locations
- Nature Communications (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Edinburgh Research Explorer (University of Edinburgh) (submittedVersion, cc-by)
- Apollo (University of Cambridge) (submittedVersion, cc-by)
- RePEc: Research Papers in Economics (submittedVersion)
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- Funders
- Wellcome Trust (098051)
- Broad Institute
- University of Cambridge (00001)
- European Commission
- Medical Research Council (MC_UU_12015/1, MC_PC_13046, MC_UU_12015, 098051, MC_UU_00007/10)
- European Social Fund
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Mapping and Diversity in Plants and Animals
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Bioinformatics and Genomic Networks
- Keywords
- serum proteome, neurological disorders, quantitative trait loci, genetic variants, circulating proteins, Alzheimer's disease, Parkinson's disease, schizophrenia, CD33, GPNMB, MSR1, biomarkers, drug repurposing, Mendelian randomization, cis-acting variants
- MeSH terms
- Whole Genome Sequencing, Alzheimer Disease, Humans, Membrane Glycoproteins, Parkinson Disease, Schizophrenia, Cohort Studies, Biomarkers, Gene Expression, Genome, Human, Genetic Predisposition to Disease, Proteome, Quantitative Trait Loci, Scavenger Receptors, Class A, Mendelian Randomization Analysis, Molecular Sequence Annotation, Sialic Acid Binding Ig-like Lectin 3, Gene Ontology
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