18 citations · 21 across the 3 of their papers we have counts for
3 papers
stat.ME2021★ 1 cited
Bayesian Mendelian randomization with study heterogeneity and data partitioning for large studies
Linyi Zou, Hui Guo, Carlo Berzuini
Background: Mendelian randomization (MR) is a useful approach to causal inference from observational studies when randomised controlled trials are not feasible. However, study hete…
math.ST2016★ 2 cited
Bayesian Mendelian Randomization
Carlo Berzuini, Hui Guo, Stephen Burgess +1
Our Bayesian approach to Mendelian Randomisation uses multiple instruments to assess the putative causal effect of an exposure on an outcome. The approach is robust to violations o…
q-bio.GN2014★ 18 cited
VSEAMS: A pipeline for variant set enrichment analysis using summary GWAS data identifies IKZF3, BATF and ESRRA as key transcription factors in type 1 diabetes
Oliver S Burren, Hui Guo, Chris Wallace
Motivation: Genome-wide association studies (GWAS) have identified many loci implicated in disease susceptibility. Integration of GWAS summary statistics (p values) and functional…