Springer Nature

Genome-wide association study identifies novel loci for type 2 diabetes-attributed end-stage kidney disease in African Americans

Posted on 2019-05-15 - 05:00
Abstract Background End-stage kidney disease (ESKD) is a significant public health concern disproportionately affecting African Americans (AAs). Type 2 diabetes (T2D) is the leading cause of ESKD in the USA, and efforts to uncover genetic susceptibility to diabetic kidney disease (DKD) have had limited success. A prior genome-wide association study (GWAS) in AAs with T2D-ESKD was expanded with additional AA cases and controls and genotypes imputed to the higher density 1000 Genomes reference panel. The discovery analysis included 3432 T2D-ESKD cases and 6977 non-diabetic non-nephropathy controls (N = 10,409), followed by a discrimination analysis in 2756 T2D non-nephropathy controls to exclude T2D-associated variants. Results Six independent variants located in or near RND3/RBM43, SLITRK3, ENPP7, GNG7, and APOL1 achieved genome-wide significant association (P < 5 × 10−8) with T2D-ESKD. Following extension analyses in 1910 non-diabetic ESKD cases and 908 non-diabetic non-nephropathy controls, a meta-analysis of 5342 AA all-cause ESKD cases and 6977 AA non-diabetic non-nephropathy controls revealed an additional novel all-cause ESKD locus at EFNB2 (rs77113398; P = 9.84 × 10–9; OR = 1.94). Exclusion of APOL1 renal-risk genotype carriers identified two additional genome-wide significant T2D-ESKD-associated loci at GRAMD3 and MGAT4C. A second variant at GNG7 (rs373971520; P = 2.17 × 10–8, OR = 1.46) remained associated with all-cause ESKD in the APOL1-negative analysis. Conclusions Findings provide further evidence for genetic factors associated with advanced kidney disease in AAs with T2D.


3 Biotech
3D Printing in Medicine
3D Research
3D-Printed Materials and Systems
AAPG Bulletin
AAPS PharmSciTech
Abhandlungen aus dem Mathematischen Seminar der Universität Hamburg
ABI Technik (German)
Academic Medicine
Academic Pediatrics
Academic Psychiatry
Academic Questions
Academy of Management Discoveries
Academy of Management Journal
Academy of Management Learning and Education
Academy of Management Perspectives
Academy of Management Proceedings
Academy of Management Review
Select your citation style and then place your mouse over the citation text to select it.



Usage metrics

Human Genomics


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
need help?