Efficiently controlling for case-control imbalance and sample relatedness in large-scale genetic association studies
Year: 2018
Type: article
Source: Nature Genetics
Authors: Wei Zhou, Jonas B. Nielsen, Lars G. Fritsche, Rounak Dey, Maiken E. Gabrielsen, Brooke N. Wolford, Jonathon LeFaive, Peter VandeHaar, Sarah A. Gagliano, Aliya Gifford, Lisa A. Bastarache, Wei-Qi Wei, Joshua C. Denny, Maoxuan Lin, Kristian Hveem, Hyun Min Kang, Goncalo R. Abecasis, Cristen J. Willer, Seunggeun Lee
Language: English
Subfield: Genetics
Domain: Life Sciences
Open Access status: green
Funders: University of Michigan, Hjerteforeningen, Lundbeckfonden, H. Lundbeck A/S, National Institutes of Health, Medical Research Council, National Heart, Lung, and Blood Institute, National Human Genome Research Institute, U.S. National Library of Medicine, Eunice Kennedy Shriver National Institute of Child Health and Human Development
Awards: Statistical and computational methods for rare variant association analysis, G4289356419, Using Genetics to Inform Mechanism of Cardiovascular Disease, G5520316217, Eunice Kennedy Shriver Intellectual and Developmental Disabilities Research Center at Vanderbilt University, G5850737185, Data and Research Support Center , Beyond PheWAS: Recognition of Phenotype Patterns for Discovery and Translation, G812891927, Exploring Statin Pleiotropic Effects within a Very Large EHR Cohort, University of Michigan Training Program in Genomic Science, Using genetics to discover mechanisms of abdominal aortic aneurysm
OpenAlex ID: W2950099124