Litcius/Paper detail

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

2022Nature Medicine162 citationsDOIOpen Access PDF

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