40246_2019_205_MOESM1_ESM.zip (138.76 kB)
Additional file 1: of Genome-wide association study identifies novel loci for type 2 diabetes-attributed end-stage kidney disease in African Americans
dataset
posted on 2019-05-15, 05:00 authored by Meijian Guan, Jacob Keaton, Latchezar Dimitrov, Pamela Hicks, Jianzhao Xu, Nicholette Palmer, Lijun Ma, Swapan Das, Yii-Der Chen, Josef Coresh, Myriam Fornage, Nora Franceschini, Holly Kramer, Carl Langefeld, Josyf Mychaleckyj, Rulan Parekh, Wendy Post, Laura Rasmussen-Torvik, Stephen Rich, Jerome Rotter, John Sedor, Denyse Thornley-Brown, Adrienne Tin, James Wilson, Barry Freedman, Donald Bowden, Maggie NgFigure S1. QQ plot of GWAS results of T2D-ESKD vs. non-diabetic non-nephropathy controls under baseline model. Figure S2. P value comparisons between baseline, APOL1-negative, and APOL1-adjusted models. Table S1. Study description. Table S2. Genome-wide significant variants associated with T2D-ESKD at Stage 2 Meta-analysis. Table S3. Discrimination analysis in 2756 T2D-lacking nephropathy individuals and 6977 controls for genome-wide significant T2D-ESKD-associated variants in baseline mode. Table S4. Discrimination analysis in 2756 T2D-lacking nephropathy individuals and 6977 controls for genome-wide significant T2D-ESKD-associated variants in APOL1-negative model. Table S5. Results of APOL1-negative model for top associations identified in baseline model. Table S6. (Excel). Functional annotations of genome-wide significant T2D-ESKD variants and proxies in linkage disequilibrium (r2â>â0.7). (ZIP 138 kb)
