A single-nucleus transcriptome-wide association study implicates novel genes in depression pathogenesis.

Lu ZengMasashi FujitaZongmei GaoCharles C WhiteGilad S GreenNaomi HabibVilas MenonDavid A BennettPatricia A BoyleHans-Ulrich KleinPhilip Lawrence De Jager

Published in: medRxiv : the preprint server for health sciences (2023)

These two sets of analyses illustrate the utility of large snucRNAseq data to uncover both genes whose expression is altered in specific cell subtypes in the context of depression and to enhance the interpretation of well-powered GWAS so that we can prioritize specific susceptibility genes for further analysis and therapeutic development.

Keyphrases

genome wide
single cell
depressive symptoms
bioinformatics analysis
genome wide identification
dna methylation
poor prognosis
sleep quality
genome wide analysis
gene expression
cell therapy
stem cells
electronic health record
rna seq
bone marrow
long non coding rna