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.
CITE THIS COLLECTION
Guan, Meijian; Keaton, Jacob; Dimitrov, Latchezar; Hicks, Pamela; Xu, Jianzhao; Palmer, Nicholette; et al. (2019). Genome-wide association study identifies novel loci for type 2 diabetes-attributed end-stage kidney disease in African Americans. figshare. Collection. https://doi.org/10.6084/m9.figshare.c.4506977.v1
or
Select your citation style and then place your mouse over the citation text to select it.
SHARE
Usage metrics
Read the peer-reviewed publication

AUTHORS (27)
MG
Meijian Guan
JK
Jacob Keaton
LD
Latchezar Dimitrov
PH
Pamela Hicks
JX
Jianzhao Xu
NP
Nicholette Palmer
LM
Lijun Ma
SD
Swapan Das
YC
Yii-Der Chen
JC
Josef Coresh
MF
Myriam Fornage
NF
Nora Franceschini
HK
Holly Kramer
CL
Carl Langefeld
JM
Josyf Mychaleckyj
RP
Rulan Parekh
WP
Wendy Post
LR
Laura Rasmussen-Torvik
SR
Stephen Rich
JR
Jerome Rotter