Estimation of effect size distribution from genome-wide association studies and implications for future discoveries
Ju-Hyun Park(Department of Health and Human Services), Nilanjan Chatterjee(National Institutes of Health), Sholom Wacholder(National Cancer Institute), Kevin B. Jacobs(Emergent BioSolutions (United States)), Stephen J. Chanock(National Cancer Institute), Mitchell H. Gail(Georgetown University Medical Center), Ulrike Peters(Fred Hutch Cancer Center)
Cited by 709
Related Papers
LDlink: a web-based application for exploring population-specific haplotype structure and linking correlated alleles of possible functional variants
|Bioinformatics|2015|2.2k
Assessing the Probability That a Positive Report is False: An Approach for Molecular Epidemiology Studies
|JNCI Journal of the National Cancer Institute|2004|1.8k
A genome-wide association study identifies alleles in FGFR2 associated with risk of sporadic postmenopausal breast cancer
|Nature Genetics|2007|1.5k
Replicating genotype–phenotype associations
|Nature|2007|1.4k
Polygenic Risk Scores for Prediction of Breast Cancer and Breast Cancer Subtypes
|The American Journal of Human Genetics|2018|1.2k