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Mapping the serum proteome to neurological diseases using whole genome sequencing.
- Source :
-
Nature communications [Nat Commun] 2021 Dec 02; Vol. 12 (1), pp. 7042. Date of Electronic Publication: 2021 Dec 02. - Publication Year :
- 2021
-
Abstract
- 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.<br /> (© 2021. The Author(s).)
- Subjects :
- Alzheimer Disease blood
Alzheimer Disease diagnosis
Alzheimer Disease pathology
Biomarkers blood
Cohort Studies
Gene Expression
Gene Ontology
Genetic Predisposition to Disease
Genome, Human
Humans
Membrane Glycoproteins blood
Mendelian Randomization Analysis
Molecular Sequence Annotation
Parkinson Disease blood
Parkinson Disease diagnosis
Parkinson Disease pathology
Proteome genetics
Proteome metabolism
Quantitative Trait Loci
Scavenger Receptors, Class A blood
Schizophrenia blood
Schizophrenia diagnosis
Schizophrenia pathology
Sialic Acid Binding Ig-like Lectin 3 blood
Whole Genome Sequencing
Alzheimer Disease genetics
Membrane Glycoproteins genetics
Parkinson Disease genetics
Scavenger Receptors, Class A genetics
Schizophrenia genetics
Sialic Acid Binding Ig-like Lectin 3 genetics
Subjects
Details
- Language :
- English
- ISSN :
- 2041-1723
- Volume :
- 12
- Issue :
- 1
- Database :
- MEDLINE
- Journal :
- Nature communications
- Publication Type :
- Academic Journal
- Accession number :
- 34857772
- Full Text :
- https://doi.org/10.1038/s41467-021-27387-1