Mixed-effects polygenic risk score Phenome-wide association study detects genetic correlation between colorectal cancer risk and phenotype data extracted from the electronic health record
Elisabeth A. Rosenthal(University of Washington), Gail P. Jarvik(University of Washington Medical Center), Chunhua Weng(Columbia University Irving Medical Center), Daniel J. Schaid(Mayo Clinic), David R. Crosslin(Tulane University), Leah C. Kottyan(Cincinnati Children's Hospital Medical Center), Wei‐Qi Wei(Vanderbilt University Medical Center), Bahram Namjou‐Khales(Cincinnati Children's Hospital Medical Center), Ulrike Peters(University of Washington), Iftikhar J. Kullo(Medical College of Wisconsin), William M. Grady(Seattle University), Michael Lape(Cincinnati Children's Hospital Medical Center), Li Yang Hsu(National University of Singapore), Yuan Luo(China Railway Group (China)), Edward D. Esplin(Stanford University), Allan Gordon(University of Washington), Jennifer A. Pacheco(University of Arizona)
Cited by 0
Related Papers
A reference panel of 64,976 haplotypes for genotype imputation
|Nature Genetics|2016|3.3k
Common variants at MS4A4/MS4A6E, CD2AP, CD33 and EPHA1 are associated with late-onset Alzheimer's disease
|Nature Genetics|2011|2k
Systematic comparison of phenome-wide association study of electronic medical record data and genome-wide association study data
|Nature Biotechnology|2013|1.1k
Genomic and Epigenetic Instability in Colorectal Cancer Pathogenesis
|Gastroenterology|2008|942