Integrative pathway analysis of genome-wide association studies and gene expression data in prostate cancer

An efficient hierarchical generalized linear mixed model for pathway analysis of genome-wide association studies

(2011) Lily Wang et al.   BIOINFORMATICS

Cancer statistics, 2011

(2011) Rebecca Siegel et al.   CA-A CANCER JOURNAL FOR CLINICIANS

KEGG for integration and interpretation of large-scale molecular data sets

(2011) M. Kanehisa et al.   NUCLEIC ACIDS RESEARCH

Insights into Colon Cancer Etiology via a Regularized Approach to Gene Set Analysis of GWAS Data

(2010) Lin S. Chen et al.   AMERICAN JOURNAL OF HUMAN GENETICS

Understanding mechanisms underlying human gene expression variation with RNA sequencing

(2010) Joseph K. Pickrell et al.   NATURE

Analysing biological pathways in genome-wide association studies

(2010) Kai Wang et al.   NATURE REVIEWS GENETICS

i-GSEA4GWAS: a web server for identification of pathways/gene sets associated with traits by applying an improved gene set enrichment analysis to genome-wide association study

(2010) K. Zhang et al.   NUCLEIC ACIDS RESEARCH

Common variants conferring risk of schizophrenia: A pathway analysis of GWAS data

(2010) Peilin Jia et al.   SCHIZOPHRENIA RESEARCH

Gene Ontology Analysis of GWA Study Data Sets Provides Insights into the Biology of Bipolar Disorder

(2009) Peter Holmans et al.   AMERICAN JOURNAL OF HUMAN GENETICS

The SNP ratio test: pathway analysis of genome-wide association datasets

(2009) Colm O'Dushlaine et al.   BIOINFORMATICS

Pathway analysis by adaptive combination ofP-values

(2009) Kai Yu et al.   GENETIC EPIDEMIOLOGY

Potential etiologic and functional implications of genome-wide association loci for human diseases and traits

(2009) L. A. Hindorff et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

GSEA-SNP: applying gene set enrichment analysis to SNP data from genome-wide association studies

(2008) Marit Holden et al.   BIOINFORMATICS

Integrating large-scale functional genomic data to dissect the complexity of yeast regulatory networks

(2008) Jun Zhu et al.   NATURE GENETICS

Mining for JAK–STAT mutations in cancer

(2008) Stefan N. Constantinescu et al.   TRENDS IN BIOCHEMICAL SCIENCES