PGSC, a new method from my student Renée Fonseca, shows that gene-context interactions can robustly improve prediction. PGSC gains can be large, replicate across ancestries and cohorts, and largely survive on the log scale, unlike PGS amplification. biorxiv.org/content/10.648…
Andy Dahl
@andywdahl
Assistant professor at uchicago working on statistical genetics methods
613 Following 681 Followers 57 Posts
Latest posts 5
Very proud of Minhui's paper and excited for his new lab at VCU :)
CIGMA is out in Nature — A linear mixed model to unbiasedly characterize cell-type-specific eQTLs. Work advised by @andywdahl and a lot of help from @xinpei_wView quoted post on X
nature.com/articles/s4158…
Analyzing phenotypes on the wrong scale reduces power and creates spurious genetic interactions. SIQReg, a new method from my postdoc Zhenhong Huang, learns an optimal phenotype scale to fix this: biorxiv.org/content/10.648…
Monotone convex transformations of an additive phenotype induce sign-consistent GxE--new preprint from @sadowskimich, Noah Zaitlen and Richard Border
New preprint. We show that a wide class of outcome transformations and endogenous treatment effects induce sign-consistent gene-environment interaction (GxE) effects. biorxiv.org/content/10.110…View quoted post on X
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GxDrug interactions now published at cell genomics :) @sadowskimich did a ton of great work in this paper. We hope the approach is a step toward improving predictions for individual-specific treatment response
Our work using gene-environment interaction methods to study the genetics of drug response is now out in @CellGenomics. @CellPressNewsView quoted post on X
cell.com/cell-genomics/…