This week, we're showcasing 2 great talks from authors:
04.12 Dan Liang (@danliang_unc ) of @UNC
04.14 Gemma Zhao (@Gemma_MZ) of @Stanford
jrnlclub.org/this-weeksView quoted post on X
In our new preprint, we identify putatively imprinted regions and genes in cultured progenitors and differentiated neurons, finding many of them are cell-type specific ://www.biorxiv.org/content/10.1101/2021.10.04.463060v1.abstract?%3Fcollection=View quoted post on X
Thanks to everyone that made this all possible after many years of work @danliang_unc (the lab's first PhD!), @NilAygun8, @HeloKrupa (the lab's second PhD!), @mikelove, @LTULab , @GeschwindLab and many others!View quoted post on X
@Joni_Coleman @mikelove @danliang_unc You're right that our method for association (mixed model) looks for associations that are consistent across ancestries, not ancestry specific. Because sample sizes would be cut by subgrouping, we tried to analyze all data together for increased power.View quoted post on X
A total of 24K cases and 34K controls were tested in meta-analysis with previous iPSYCH+PGC study. We integrate various tools and multi-level datasets (Hi-C coupled MAGMA, MPRA, eQTL, and chromatin accessibility) to identify a causal variant and target gene. Enjoy our work!View quoted post on X
