Cited by 311Genetic Associations and EpidemiologyGenetic Mapping and Diversity in Plants and AnimalsGenomics and Chromatin Dynamics

Cell-type-specific cis-eQTLs in eight human brain cell types identify novel risk genes for psychiatric and neurological disorders

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Bryois, Julien, Calini, Daniela, Macnair, Will, Foo, Lynette, Urich, Eduard, Ortmann, Ward, Iglesias, Victor Alejandro, Selvaraj, Suresh +8 more·2022·Nature Neuroscience

Published version of a preprint

Abstract

To date, most expression quantitative trait loci (eQTL) studies, which investigate how genetic variants contribute to gene expression, have been performed in heterogeneous brain tissues rather than specific cell types. In this study, we performed an eQTL analysis using single-nuclei RNA sequencing from 192 individuals in eight brain cell types derived from the prefrontal cortex, temporal cortex and white matter. We identified 7,607 eGenes, a substantial fraction (46%, 3,537/7,607) of which show cell-type-specific effects, with strongest effects in microglia. Cell-type-level eQTLs affected more constrained genes and had larger effect sizes than tissue-level eQTLs. Integration of brain cell type eQTLs with genome-wide association studies (GWAS) revealed novel relationships between expression and disease risk for neuropsychiatric and neurodegenerative diseases. For most GWAS loci, a single gene co-localized in a single cell type, providing new clues into disease etiology. Our findings demonstrate substantial contrast in genetic regulation of gene expression among brain cell types and reveal potential mechanisms by which disease risk genes influence brain disorders.

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  • The directional effect of the AD risk allele of rs10792832 on PICALM expression was consistent with other hMG eQTL findings.

    “The directional effect of the AD risk allele of rs10792832 on PICALM expression was consistent with other hMG eQTL findings8,9,25.”

    From PICALM Alzheimer’s risk allele causes aberrant lipid droplets in microglia (2025) · cites this paper as [9]

    The 'Brain cell type eQTLs mediate brain disease associations' section reports a microglial PICALM co-localization signal and associates increased PICALM expression with decreased AD risk. The 'Mapping of risk variants to cell type regulatory elements' section identifies rs10792832 at a microglia-specific enhancer connected to PICALM, but our copy does not establish the expression effect of that particular risk allele or compare its direction with other human microglia eQTL findings. The indexed passages provide section labels but no specific page for these statements. (LLM, conf=0.82)

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  17. Myers, T. A., Chanock, S. J. & Machiela, M. J. LDlinkR: an R package for rapidly calculating linkage disequilibrium statistics in diverse populations. Front. Genet. 11, 157 (2020). GRCh38 reference human genome: http://ftp.ensembl.org/pub/release-96/fasta/homo_sapiens/dna/ Ensembl Homo_sapiens GRCh38.96 reference annotation: http://ftp.ensembl.org/pub/release-96/gtf/homo_sapiens/ Ensembl Homo_sapiens GRCh38.91 reference annotation: http://ftp.ensembl.org/pub/release-91/gtf/homo_sapiens/ GWAS summary statistics are available here: Alzheimer's disease: http://ftp.ebi.ac.uk/pub/databases/gwas/summary_statistics/GCST90012001-GCST90013000/GCST90012877/ GCST90012877_buildGRCh37.tsv.gz Parkinson's disease: https://drive.google.com/drive/folders/10bGj6HfAXgl-JslpI9ZJIL_JIgZyktxn Multiple sclerosis: https://imsgc.net/?page_id=31 Schizophrenia: https://www.med.unc.edu/pgc/download-results Field-specific reporting Please select the one below that is the best fit for your research. If you are not sure, read the appropriate sections before making your selection. Life sciences Behavioural & social sciences Ecological, evolutionary & environmental sciences For a reference copy of the document with all sections, see nature.com/documents/nr-reporting-summary-flat.pdf Life sciences study design All studies must disclose on these points even when the disclosure is negative. Sample size We performed single nuclei RNA-seq on all brain samples available to us. The sample size of this study (N=192) is the largest (to our knowledge) for an eQTL study using single nuclei RNA-seq data.

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Authors
Bryois, J., Calini, D., Macnair, W., Foo, L., Urich, E., Ortmann, W., Iglesias, V. A., Selvaraj, S., Nutma, E., Marzin, M., Amor, S., Williams, A., Castelo-Branco, G., Menon, V., De Jager, P., & Malhotra, D.
Affiliations
  • F. Hoffmann-La Roche AG (CH)
  • Genentech (US)
  • Amsterdam University Medical Centers (NL)
  • Queen Mary University of London (GB)
  • MRC Centre for Regenerative Medicine (GB)
  • Columbia University Irving Medical Center (US)
Corresponding author
  • Bryois, Julien
  • Malhotra, Dheeraj
Venue
Nature Neuroscience
Published
2022-08
Volume
25
Issue
8
Pages
1104-1112
ISSN
  • 1097-6256 (ISSN-L)
  • 1546-1726
OpenAlex
W4289261763
Cited by
311
References
20
Citations by year
2026: 84 · 2025: 88 · 2024: 81 · 2023: 41 · 2022: 17
FWCI
36.05
Type
journal article
Language
en
Open access
Locations
  • Nature Neuroscience (publishedVersion)
  • medRxiv (acceptedVersion, cc-by-nc-nd)
  • PubMed (publishedVersion)
  • Pure Amsterdam UMC (acceptedVersion, other-oa)
  • Amsterdam UMC (VU Amsterdam) - Institutional Repository (submittedVersion)
  • Edinburgh Research Explorer (University of Edinburgh) (submittedVersion, cc-by)
  • Data Archiving and Networked Services (DANS) (submittedVersion)
Funders
  • Illinois Department of Public Health (P30AG10161, R01AG15819, R01AG17917, R01AG30146)
  • Rush University
  • Translational Genomics Research Institute
  • National Institute on Aging (R01AG36042, U01AG46161, P30-AG 10161, U01 AG32984, R01 AG30146, R01‐AG17917, R01 AG15819, R01-AG36836, U01‐AG61356, R01AG48015, RC2AG036547, RF1AG57473, U01‐AG46152)
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 › Genomics and Chromatin Dynamics
Keywords
cis-eQTL, cell type-specific gene expression, brain cell types, single-nucleus RNA sequencing, microglia, prefrontal cortex, temporal cortex, white matter, neuropsychiatric disorders, neurodegenerative diseases, risk genes, genetic colocalization, expression quantitative trait loci
MeSH terms
Brain, Humans, Nervous System Diseases, Genetic Predisposition to Disease, Polymorphism, Single Nucleotide, Quantitative Trait Loci, Genome-Wide Association Study

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