Pan-UK Biobank genome-wide association analyses enhance discovery and resolution of ancestry-enriched effects
Konrad J. Karczewski, Rahul Gupta, Masahiro Kanai, Wenhan Lu, Kristin Tsuo, Ying Wang, Raymond K. Walters, Patrick Turley, Shawneequa Callier, Nirav N. Shah, Nikolas Baya, Duncan S. Palmer, Jacqueline I. Goldstein, Gopal Sarma, Matthew Solomonson, Nathan Cheng, Samuel C. Bryant, Claire Churchhouse, Caroline Cusick, Timothy Poterba, John Compitello, Daniel King, Wei Zhou, Cotton Seed, Hilary K. Finucane, Mark J. Daly, Benjamin M. Neale, Elizabeth G. Atkinson, Alicia R. Martin
Topics & Concepts
BiobankPhenomeBiologyGenetic genealogyGenetic associationPopulationPopulation stratificationGeneticsComputational biologyAssociation (psychology)Genetic dataBiorepositoryEvolutionary biologyGenetic variationMultiple comparisons problemGenome-wide association studyGenetic testingData sciencePrecision medicineBioinformaticsHuman geneticsInterpretation (philosophy)Imputation (statistics)Summary statisticsGenetic modelGenetic variantsAssociation testGenotypeMissense mutationPopulation geneticsGenetic epidemiologyGenomicsGenetic Associations and EpidemiologyBRCA gene mutations in cancerFolate and B Vitamins Research