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Cell-subtype specific effects of genetic variation in the aging and Alzheimer cortex

Fujita, M.; Gao, Z.; Zeng, L.; McCabe, C.; White, C. C.; Ng, B.; Green, G. S.; Rozenblatt-Rosen, O.; Phillips, D.; Amir-Zilberstein, L.; Lee, H.; Pearse, R. V.; Khan, A.; Vardarajan, B. N.; Kiryluk, K.; Ye, C. J.; Klein, H.-U.; Wang, G.; Regev, A.; Habib, N.; Schneider, J. A.; Wang, Y.; Young-Pearse, T.; Mostafavi, S.; Bennett, D. A.; Menon, V.; De Jager, P. L.

2022-11-08 genomics
10.1101/2022.11.07.515446 bioRxiv
Show abstract

The relationship between genetic variation and gene expression in individual brain cell types and subtypes has remained elusive. Here, we generated single-nucleus RNA sequencing data from the dorsolateral prefrontal cortex of 424 individuals of advanced age; analyzing 1.5 million nuclear transcriptomes, we assessed the effect of genetic variants on RNA expression in cis (cis-eQTL) for 7 cell types and 81 cell subtypes. This effort identified 10,004 eGenes at the cell type level and 8,138 eGenes at the cell subtype level. Many eGenes are only detected within cell subtypes. A new variant influences APOE expression only in microglia and is associated with greater cerebral amyloid angiopathy but not Alzheimer pathology, accounting for the effect of APOE{varepsilon}4, providing mechanistic insights into both pathologies. While eQTLs are readily detected, only a TMEM106B variant robustly affects the proportion of cell subtypes. Integration of these results with GWAS highlighted the targeted cell type and likely causal gene within susceptibility loci for Alzheimers, Parkinsons, schizophrenia, and educational attainment.

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