A more accurate method for colocalisation analysis allowing for multiple causal variants

A powerful and versatile colocalization test

(2020) Yangqing Deng et al.   PLoS Computational Biology

Eliciting priors and relaxing the single causal variant assumption in colocalisation analyses

(2020) Chris Wallace   PLoS Genetics

A simple new approach to variable selection in regression, with application to genetic fine mapping

(2020) Gao Wang et al.   JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY

Stochastic search and joint fine-mapping increases accuracy and identifies previously unreported associations in immune-mediated diseases

(2019) Jennifer L. Asimit et al.   Nature Communications

Colocalization of GWAS and eQTL Signals Detects Target Genes

(2016) Farhad Hormozdiari et al.   AMERICAN JOURNAL OF HUMAN GENETICS

FINEMAP: efficient variable selection using summary data from genome-wide association studies

(2016) Christian Benner et al.   BIOINFORMATICS

JAM: A Scalable Bayesian Framework for Joint Analysis of Marginal SNP Effects

(2016) Paul J. Newcombe et al.   GENETIC EPIDEMIOLOGY

A global reference for human genetic variation

(2015) Richard A. Gibbs et al.   NATURE

Identifying Causal Variants at Loci with Multiple Signals of Association

(2014) F. Hormozdiari et al.   GENETICS

Bayesian Test for Colocalisation between Pairs of Genetic Association Studies Using Summary Statistics

(2014) Claudia Giambartolomei et al.   PLoS Genetics

Bayesian refinement of association signals for 14 loci in 3 common diseases

(2012) Julian B Maller et al.   NATURE GENETICS

A Flexible and Accurate Genotype Imputation Method for the Next Generation of Genome-Wide Association Studies

(2009) Bryan N. Howie et al.   PLoS Genetics

Bayes factors for genome-wide association studies: comparison withP-values

(2008) Jon Wakefield   GENETIC EPIDEMIOLOGY