4.8k citations · 5k across the 3 of their papers we have counts for
3 papers
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…
q-bio.GN2013★ 4.8k cited
Bayesian Test for Colocalisation Between Pairs of Genetic Association Studies Using Summary Statistics
Claudia Giambartolomei, Damjan Vukcevic, Eric E. Schadt +4
Genetic association studies, in particular the genome-wide association study design, have provided a wealth of novel insights into the aetiology of a wide range of human diseases a…
q-bio.GN2013★ 131 cited
Statistical testing of shared genetic control for potentially related traits
Chris Wallace
Integration of data from genome-wide single nucleotide polymorphism (SNP) association studies of different traits should allow researchers to disentangle the genetics of potentiall…