Discover and read the best of Twitter Threads about #eQTL
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We are thrilled to share our #preprint "Atlas of genetic effects in human #microglia transcriptome across brain regions, aging and #disease pathologies"!
Work led by @lopeskp @JackHumphrey_ #Gijsje and others from #deWitte and #Raj Lab (@towfiqueRaj)
t.ly/pZqQ 1/23
Work led by @lopeskp @JackHumphrey_ #Gijsje and others from #deWitte and #Raj Lab (@towfiqueRaj)
t.ly/pZqQ 1/23
Here, we describe the Microglia Genomic Atlas (#MiGA) project. A genetic and transcriptomic resource of 255 primary human microglia isolated from 4 brain regions of 100 donors with neurodegenerative and psychiatric disease and controls. 2/23 
1/ Excited to share work led by @varshney_arushi genetics.org/content/211/2/… @GeneticsGSA, we compared gene regulatory annotations defined using diverse #epigenomic data across 4 cell types to measure cell specificities and #genetics of #geneRegulation
2/ We observed that stretch and super #enhancers are more cell type-specific whereas HOT regions and broad domains comprise more ubiquitous promoter states
3/ #eQTL in stretch enhancers have significantly smaller effect sizes compared to those in HOT regions. This suggests regulatory buffering where the expression of cell-identity genes is more tightly controlled
