An efficient Bayesian meta-analysis approach for studying cross-phenotype genetic associations

How Can We Explain Very Low Odds Ratios in GWAS? I. Polygenic Models

(2016) Susan E. Hodge et al.   HUMAN HEREDITY

Genome-Wide Meta-Analyses of Breast, Ovarian, and Prostate Cancer Association Studies Identify Multiple New Susceptibility Loci Shared by at Least Two Cancer Types

(2016) S. P. Kar et al.   Cancer Discovery

Estimating Effect Sizes and Expected Replication Probabilities from GWAS Summary Statistics

(2016) Dominic Holland et al.   Frontiers in Genetics

Leveraging Multi-ethnic Evidence for Mapping Complex Traits in Minority Populations: An Empirical Bayes Approach

(2015) Marc A. Coram et al.   AMERICAN JOURNAL OF HUMAN GENETICS

Meta-analysis of Correlated Traits via Summary Statistics from GWASs with an Application in Hypertension

(2015) Xiaofeng Zhu et al.   AMERICAN JOURNAL OF HUMAN GENETICS

Modeling Linkage Disequilibrium Increases Accuracy of Polygenic Risk Scores

(2015) Bjarni J. Vilhjálmsson et al.   AMERICAN JOURNAL OF HUMAN GENETICS

A Pleiotropy-Informed Bayesian False Discovery Rate Adapted to a Shared Control Design Finds New Disease Associations From GWAS Summary Statistics

(2015) James Liley et al.   PLoS Genetics

An Empirical Bayes Mixture Model for Effect Size Distributions in Genome-Wide Association Studies

(2015) Wesley K. Thompson et al.   PLoS Genetics

Bayesian methods for genetic association analysis with heterogeneous subgroups: From meta-analyses to gene–environment interactions

(2014) Xiaoquan Wen et al.   Annals of Applied Statistics

A Comparison of Multivariate Genome-Wide Association Methods

(2014) Tessel E. Galesloot et al.   PLoS One

GPA: A Statistical Approach to Prioritizing GWAS Results by Integrating Pleiotropy and Annotation

(2014) Dongjun Chung et al.   PLoS Genetics

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

(2014) Claudia Giambartolomei et al.   PLoS Genetics

Improved Detection of Common Variants Associated with Schizophrenia by Leveraging Pleiotropy with Cardiovascular-Disease Risk Factors

(2013) Ole A. Andreassen et al.   AMERICAN JOURNAL OF HUMAN GENETICS

Common genetic variants in the 9p21 region and their associations with multiple tumours

(2013) F Gu et al.   BRITISH JOURNAL OF CANCER

Turning of COGS moves forward findings for hormonally mediated cancers

(2013) Lori C Sakoda et al.   NATURE GENETICS

Genetic relationship between five psychiatric disorders estimated from genome-wide SNPs

(2013) S Hong Lee et al.   NATURE GENETICS

Discovery and refinement of loci associated with lipid levels

(2013) Cristen J Willer et al.   NATURE GENETICS

Genetic insights into common pathways and complex relationships among immune-mediated diseases

(2013) Miles Parkes et al.   NATURE REVIEWS GENETICS

Polygenic Modeling with Bayesian Sparse Linear Mixed Models

(2013) Xiang Zhou et al.   PLoS Genetics

Improved Detection of Common Variants Associated with Schizophrenia and Bipolar Disorder Using Pleiotropy-Informed Conditional False Discovery Rate

(2013) Ole A. Andreassen et al.   PLoS Genetics

A Subset-Based Approach Improves Power and Interpretation for the Combined Analysis of Genetic Association Studies of Heterogeneous Traits

(2012) Samsiddhi Bhattacharjee et al.   AMERICAN JOURNAL OF HUMAN GENETICS

MultiPhen: Joint Model of Multiple Phenotypes Can Increase Discovery in GWAS

(2012) Paul F. O’Reilly et al.   PLoS One

Interpreting Meta-Analyses of Genome-Wide Association Studies

(2012) Buhm Han et al.   PLoS Genetics

Abundant Pleiotropy in Human Complex Diseases and Traits

(2011) Shanya Sivakumaran et al.   AMERICAN JOURNAL OF HUMAN GENETICS

P-value based analysis for shared controls design in genome-wide association studies

(2010) Dmitri V. Zaykin et al.   GENETIC EPIDEMIOLOGY

Meta-Analysis of Genome-wide Association Studies with Overlapping Subjects

(2009) Dan-Yu Lin et al.   AMERICAN JOURNAL OF HUMAN GENETICS

Bayesian statistical methods for genetic association studies

(2009) Matthew Stephens et al.   NATURE REVIEWS GENETICS