Published July 27, 2023 | Version v1

Genomic atlas of the human proteome from brain, CSF and plasma: Improvement with TOPMed imputed genomics

Description

Abstract

Comprehensive expression quantitative trait loci (eQTL) studies have been instrumental for understanding tissue-specific gene regulation and pinpointing functional genes for disease-associated GWAS loci in a tissue-specific manner. Compared to gene expressions, proteins more directly affect various biological processes, often dysregulated in disease, and are important drug targets. We previously performed and identified tissue-specific protein QTL (pQTL) in neurologically relevant tissues. We now enhance this work by analyzing more proteins (1,300 versus 1,079) and an almost twofold increase in high-quality imputed genetic variants (8.4 million versus 4.4 million) by using TOPMed reference panel. We identified 38 genomic regions associated with 43 proteins in brain, 150 regions associated with 247 proteins in CSF, and 95 regions associated with 145 proteins in plasma. Compared to our previous study, this study newly identified 12 pQTL in brain, 30 pQTL in CSF, and 22 pQTL in plasma. Our improved genomic atlas uncovers the genetic control of protein regulation across multiple tissues. These pQTL findings are assessable through the Online Neurodegenerative Trait Integrative Multi-Omics Explorer (ONTIME) for use by the scientific community.

Notes

We thank all the participants and their families from Knight ADRC and DIAN studies. This work was supported by grants from the National Institutes of Health (RF1AG074007 (YJS), R01AG044546 (CC), P01AG003991 (CC), RF1AG053303 (CC), RF1AG058501 (CC), and U01AG058922 (CC), and the Chan Zuckerberg Initiative (CZI). This work was supported by access to equipment made possible by the Hope Center for Neurological Disorders, the Neurogenomics and Informatics Center (NGI: https://neurogenomics.wustl.edu/) and the Departments of Neurology and Psychiatry at Washington University School of Medicine.

Files

Files (42.9 GB)

Name Size
md5:49e2570f7bc035d2ce3f5c0c70843f87
42.9 GB Download