1.
van Zuydam NR, Ahlqvist E, Sandholm N, et al. A Genome-Wide Association Study of Diabetic Kidney Disease in Subjects With Type 2 Diabetes. Diabetes. 2018;67(7):1414-1427. doi:10.2337/db17-0914.
1.
Rhee EP, Souza A, Farrell L, et al. Metabolite profiling identifies markers of uremia. J Am Soc Nephrol. 2010;21(6):1041-1051. doi:10.1681/ASN.2009111132.
1.
Chan Y, Lim ET, Sandholm N, et al. An excess of risk-increasing low-frequency variants can be a signal of polygenic inheritance in complex diseases. Am J Hum Genet. 2014;94(3):437-52. doi:10.1016/j.ajhg.2014.02.006.
1.
Kalim S, Clish CB, Wenger J, et al. A plasma long-chain acylcarnitine predicts cardiovascular mortality in incident dialysis patients. J Am Heart Assoc. 2013;2(6):e000542. doi:10.1161/JAHA.113.000542.
1.
Rhee EP, Clish CB, Ghorbani A, et al. A combined epidemiologic and metabolomic approach improves CKD prediction. J Am Soc Nephrol. 2013;24(8):1330-8. doi:10.1681/ASN.2012101006.
1.
Kalim S, Clish CB, Deferio JJ, et al. Cross-sectional examination of metabolites and metabolic phenotypes in uremia. BMC Nephrol. 2015;16:98. doi:10.1186/s12882-015-0100-y.