Thread by @theparkerlab

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

4/ Strikingly, #chromatin accessibility #QTL in stretch #enhancers have significantly larger effect sizes compared to those in HOT regions. SEs could harbor genetically primed #chromatin to enable changes in TF binding, likely driving specific response to stimuli

5/ Our results suggest that current #eQTL studies are relatively underpowered or could lack the appropriate environmental context to detect #genetic effects in the most cell type-specific regulatory annotations

6/ Also read the nice write up by @umichmedicine here: labblog.uofmhealth.org/lab-report/stu…
@UM_Genetics @UMichResearch