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Meta-analysis of harmonized brain transcriptomics data prioritizes therapeutic target genes

A meta-analysis of harmonized human brain RNA-seq datasets creates expression quantitative trait locus (eQTL) maps for multiple ancestries and brain regions, predicts cell-type-dependent eQTLs and produces gene networks. This prioritizes genes for multiple brain-related diseases, serving as a promising step toward the identification of central nervous system (CNS) drug targets.

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Fig. 1: Meta-analysis of harmonized brain transcriptomics datasets.


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This is a summary of: de Klein, N. et al. Brain expression quantitative trait locus and network analysis reveal downstream effects and putative drivers for brain-related diseases. Nat. Genet. (2023).

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Meta-analysis of harmonized brain transcriptomics data prioritizes therapeutic target genes. Nat Genet 55, 363–364 (2023).

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