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Mapping the serum proteome to neurological diseases using whole genome sequencing

Grace Png (), Andrei Barysenka, Linda Repetto, Pau Navarro, Xia Shen, Maik Pietzner, Eleanor Wheeler, Nicholas J. Wareham, Claudia Langenberg, Emmanouil Tsafantakis, Maria Karaleftheri, George Dedoussis, Anders Mälarstig, James F. Wilson, Arthur Gilly and Eleftheria Zeggini ()
Additional contact information
Grace Png: Helmholtz Zentrum München – German Research Center for Environmental Health
Andrei Barysenka: Helmholtz Zentrum München – German Research Center for Environmental Health
Linda Repetto: University of Edinburgh
Pau Navarro: University of Edinburgh
Xia Shen: University of Edinburgh
Maik Pietzner: University of Cambridge
Eleanor Wheeler: University of Cambridge
Nicholas J. Wareham: University of Cambridge
Claudia Langenberg: University of Cambridge
Emmanouil Tsafantakis: Anogia Medical Centre
Maria Karaleftheri: Echinos Medical Centre
George Dedoussis: School of Health Science and Education, Harokopio University of Athens
Anders Mälarstig: Karolinska Institute
James F. Wilson: University of Edinburgh
Arthur Gilly: Helmholtz Zentrum München – German Research Center for Environmental Health
Eleftheria Zeggini: Helmholtz Zentrum München – German Research Center for Environmental Health

Nature Communications, 2021, vol. 12, issue 1, 1-12

Abstract: 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.

Date: 2021
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Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:12:y:2021:i:1:d:10.1038_s41467-021-27387-1

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DOI: 10.1038/s41467-021-27387-1

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