Genome-wide polygenic score to predict chronic kidney disease across ancestries
Atlas Khan, Michael C. Turchin, Amit Patki, Vinodh Srinivasasainagendra, Ning Shang, Rajiv Nadukuru, Alana Jones, Edyta Małolepsza, Ozan Dikilitas, Iftikhar J. Kullo, Daniel J. Schaid, Elizabeth W. Karlson, Tian Ge, James B. Meigs, Jordan W. Smoller, Christoph Lange, David R. Crosslin, Gail P. Jarvik, Pavan K. Bhatraju, Jacklyn N. Hellwege, Paulette D. Chandler, Laura Rasmussen Torvik, Alex Fedotov, Cong Liu, Christopher Kachulis, Niall J. Lennon, Noura S. Abul‐Husn, Judy H. Cho, Iuliana Ionita‐Laza, Ali G. Gharavi, Wendy K. Chung, George Hripcsak, Chunhua Weng, Girish N. Nadkarni, Marguerite R. Irvin, Hemant K. Tiwari, Eimear E. Kenny, Nita A. Limdi, Krzysztof Kiryluk
Topics & Concepts
Genome-wide association studyKidney diseasePolygenic risk score1000 Genomes ProjectGenetic genealogyGenotypeBiologyTransferabilityGenetic associationRenal functionMedicineDiseaseGeneticsInternal medicineSingle-nucleotide polymorphismGenePopulationEnvironmental healthMathematicsStatisticsLogitGenetic Associations and EpidemiologyRenal Diseases and GlomerulopathiesGenetic Syndromes and Imprinting