Genome-wide meta-analysis and omics integration identifies novel genes associated with diabetic kidney disease.
Sandholm N, Cole JB, Nair V, Sheng X, Liu H, Ahlqvist E, van Zuydam N, Dahlström EH, Fermin D, Smyth LJ, Salem RM, Forsblom C, Valo E, Harjutsalo V, Brennan EP, McKay GJ, Andrews D, Doyle R, Looker HC, Nelson RG, Palmer C, McKnight AJ, Godson C, Maxwell AP, Groop L, McCarthy MI, Kretzler M, Susztak K, Hirschhorn JN, Florez JC, Groop PH; GENIE Consortium.
Sandholm N, et al.
Diabetologia. 2022 Sep;65(9):1495-1509. doi: 10.1007/s00125-022-05735-0. Epub 2022 Jun 28.
Diabetologia. 2022.
PMID: 35763030
Free PMC article.
RESULTS: The meta-analysis identified a novel intronic variant (rs72831309) in the TENM2 gene associated with a lower risk of the combined chronic kidney disease (eGFR<60 ml/min per 1.73 m(2)) and DKD (microalbuminuria or worse) phenotype (p=9.810(-9); although not with …
RESULTS: The meta-analysis identified a novel intronic variant (rs72831309) in the TENM2 gene associated with a lower risk of the combined c …