Genome-wide study investigating effector genes and polygenic prediction for kidney function in persons with ancestry from Africa and the Americas

By sjmartinez • January 9, 2024

Hughes O, Bentley AR, Breeze CE, Aguet F, Xu X, Nadkarni G, Sun Q, Lin BM, Gilliland T, Meyer MC, Du J, Raffield LM, Kramer H, Morton RW, Gouveia MH, Atkinson EG, Valladares-Salgado A, Wacher-Rodarte N, Dueker ND, Guo X, Hai Y, Adeyemo A, Best LG, Cai J, Chen G, Chong M, Doumatey A, Eales J, Goodarzi MO, Ipp E, Irvin MR, Jiang M, Jones AC, Kooperberg C, Krieger JE, Lange EM, Lanktree MB, Lash JP, Lotufo PA, Loos RJF, Ha My VT, Peralta-Romero J, Qi L, Raffel LJ, Rich SS, Rodriquez EJ, Tarazona-Santos E, Taylor KD, Umans JG, Wen J, Young BA, Yu Z, Zhang Y, Ida Chen YD, Rundek T, Rotter JI, Cruz M, Fornage M, Lima-Costa MF, Pereira AC, Paré G, Natarajan P, Cole SA, Carson AP, Lange LA, Li Y, Perez-Stable EJ, Do R, Charchar FJ, Tomaszewski M, Mychaleckyj JC, Rotimi C, Morris AP, Franceschini N. Genome-wide study investigating effector genes and polygenic prediction for kidney function in persons with ancestry from Africa and the Americas. Cell Genom. 2023 Dec 20:100468. doi: 10.1016/j.xgen.2023.100468. Epub ahead of print. PMID: 38190104.

Tags: admixed populations, Cedars Sinai DoM, Chronic kidney disease, EGFR, Endocrinology, expression quantitative trait locus, fine-mapping, Genome-wide association study, kidney function, multi-ancestry, polygenic scores, Publications

AI-CVD-AF: A Novel Atrial Fibrillation Prediction Model Based on Coronary Artery Calcium Scans

Mirjalili SR, Atlas K, Reeves AP, Zhang C, Wasserthal J, Azimi A, Hashemi A, Mozafarybazargany M, Atlas T, Henschke CI, Yankelevitz DF, Zulueta JJ, Fan[...]

Are Urologists and/or Radiation Oncologists Biased when Reporting of Advantages and Disadvantages of Surgery versus Radiation in Consultations for Early-Stage Prostate Cancer?

Friedrich NA, Luu M, Gale R, Chaplin A, Polineni R, Shiang A, Shin D, Freedland SJ, Spiegel B, Ballas LK, Kokorowski P, Daskivich TJ. Are[...]

Charting the translational pathway: ISSCR best practices for the development of PSC-derived therapies

Barry J, Abranches E, Baptista RP, Barry C, Brandsten C, Bruce K, Carpenter MK, Cavagnaro J, Collins L, Csaszar E, Dashnau J, de Villa D,[...]