Single-cell Mendelian randomisation identifies cell-type specific genetic effects on human brain disease and behaviour

Translating genome-wide association loci to therapies requires knowledge of the causal genes, their directionality of effect and the cell-types in which they act. To infer these relationships in the human brain, we implemented Mendelian randomisation using single cell-type expression quantitative tr...

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Published in:bioRxiv 2022-11
Main Authors: Haglund, Alexander, Zuber, Verena, Yang, Yifei, Abouzeid, Maya, Feleke, Rahel, Jeong-Hun Ko, Nott, Alexi, Babtie, Ann C, Mills, James D, Louwai Muhammed, Laaniste, Liisi, Gveric, Djordje O, Clode, Daniel, Pagni, Susanna, Ravishankara Bellampalli, Somani, Alyma, Mcdade, Karina, Anink, Jasper J, Mesarosova, Lucia, Aronica, Eleonora, Thom, Maria, Sisodiya, Sanjay M, Srivastava, Prashant K, Malhotra, Dheeraj, Bryois, Julien, Bottolo, Leonardo, Johnson, Michael R
Format: Article
Language:English
Subjects:
Brain diseases
Genomes
Mental disorders
Phenotypes
Quantitative trait loci
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Summary:Translating genome-wide association loci to therapies requires knowledge of the causal genes, their directionality of effect and the cell-types in which they act. To infer these relationships in the human brain, we implemented Mendelian randomisation using single cell-type expression quantitative trait loci (eQTLs) as genetic anchors. Expression QTLs were mapped across 8 major cell-types in brain tissue exclusively ascertained from donors with no history of brain disease. We report evidence for a causal association between the change in expression of 118 genes and one or more of 16 brain phenotypes, revealing candidate targets for risk mitigation and opportunities for shared preventative therapeutic strategies. We highlight key causal genes for neurodegenerative and neuropsychiatric disease and for each, we report its cellular context and the therapeutic directionality required for risk mitigation. Our use of control samples establishes a new resource for the causal interpretation of GWAS risk alleles for human brain phenotypes.Competing Interest StatementThe authors have declared no competing interest.Footnotes* Figure margins revised* https://www.dgidb.org/downloads* http://stitch.embl.de/* https://platform.opentargets.org/downloads* https://github.com/nottalexi/brain-cell-type-peak-files
DOI:10.1101/2022.11.28.517913