scholarly journals The Association of a Genetic Variant inSCAF8-CNKSR3with Diabetic Kidney Disease and Diabetic Retinopathy in a Chinese Population

2017 ◽  
Vol 2017 ◽  
pp. 1-6 ◽  
Author(s):  
Li Jin ◽  
Tao Wang ◽  
Song Jiang ◽  
Miao Chen ◽  
Rong Zhang ◽  
...  

Background. Genome-wide association studies found rs955333 located in 6q25.2 was associated with diabetic kidney disease in multiple ethnic populations, including European Americans, African Americans, and Mexican Americans. We aimed to investigate the association between the variant rs955333 inSCAF8-CNKSR3and DKD susceptibility in Chinese type 2 diabetes patients.Methods. The variant rs955333 was genotyped in 1884 Chinese type 2 diabetes patients. Associations of the variant rs955333 with DKD and DR susceptibility and related quantitative traits were evaluated.Results. The variant rs955333 was not associated with DKD in our samples, while subjects with genotype GG were associated with DR (P=0.047, OR = 0.55250.308,0.9911), and it also showed association with microalbuminuria (P=0.024, beta = −0.1812-0.339,-0.024).Conclusion. Our data suggests the variant rs955333 was not associated with DKD but showed association with diabetic retinopathy in Chinese type 2 diabetes patients.

Author(s):  
Chatchai Kreepala ◽  
Pitirat Panpruang ◽  
Rapeeporn Yodprom ◽  
Teeraya Piyajarawong ◽  
Krittanont Wattanavaekin ◽  
...  

2019 ◽  
Vol 7 (1) ◽  
pp. e000726 ◽  
Author(s):  
Masayuki Yamanouchi ◽  
Mikiro Mori ◽  
Junichi Hoshino ◽  
Keiichi Kinowaki ◽  
Takeshi Fujii ◽  
...  

ObjectiveThe predictive value of diabetic retinopathy on end-stage kidney disease (ESKD) has not been fully addressed in patients with type 2 diabetes and diabetic kidney disease.Research design and methodsWe studied 232 patients with type 2 diabetes and biopsy-proven diabetic kidney disease who were screened for diabetic retinopathy during the 1 month of kidney biopsy. We examined the association between retinopathy progression and renal lesions. We used Cox regression analyses to explore the risk of ESKD adjusting for known risk demographic and clinical variables. We assessed the incremental prognostic value of ESKD by adding diabetic retinopathy to the clinical variables.ResultsThe diabetic retinopathy progression positively correlated with all scores of renal lesions, especially with the glomerular-based classification (r=0.41), scores of interstitial fibrosis (r=0.41) and diffuse lesion (r=0.48). During a median follow-up of 5.7 years, 114 patients developed ESKD. Adjusting for known risk factors of ESKD, the HR for ESKD (patients with no apparent retinopathy as a reference) were 1.96 (95% CI 0.62 to 6.17) for patients with mild non-proliferative diabetic retinopathy (NPDR), 3.10 (95% CI 1.45 to 6.65) for patients with moderate NPDR, 3.03 (95% CI 1.44 to 6.37) for patients with severe NPDR, and 3.43 (95% CI 1.68 to 7.03) for patients with proliferative diabetic retinopathy, respectively. Addition of the retinopathy grading to the clinical model alone improved the prognostic value (the global χ2 statistic increased from 155.2 to 164.5; p<0.001), which is an improvement equivalent to the addition of the renal lesion grading to the clinical model.ConclusionsRetinopathy progression appeared to be associated with renal lesions and the development of ESKD. Our findings suggest that diabetic retinopathy and kidney disease share the same magnitude of disease progression, and therefore diabetic retinopathy may be useful for prognosticating the clinical course for diabetic kidney disease.


2020 ◽  
Vol 61 (14) ◽  
pp. 25
Author(s):  
Jianyong Wang ◽  
Xing Xin ◽  
Wenliang Luo ◽  
Ruojie Wang ◽  
Xinyi Wang ◽  
...  

Endocrine ◽  
2016 ◽  
Vol 55 (1) ◽  
pp. 130-138 ◽  
Author(s):  
Ying Shao ◽  
Huiwen Ren ◽  
Chuan Lv ◽  
Xiaoyu Ma ◽  
Can Wu ◽  
...  

2021 ◽  
Author(s):  
Ha My T Vy ◽  
Sergio Dellepiane ◽  
Kumardeep Chaudhary ◽  
Alexander Blair ◽  
Benjamin S Glicksberg ◽  
...  

Diabetic kidney disease (DKD) is considered partially hereditary, but the genetic factors underlying disease remain largely unknown. A key barrier to our understanding stems from its heterogeneity, and likely polygenic etiology. Proteinuric and non-proteinuric DKD are two sub-classes of DKD, defined by high urinary albumin-to-creatinine ratio (UACR) and low creatinine estimated glomerular filtration rate (eGFR). Prior genome-wide association studies (GWAS) have identified multiple loci associated with eGFR and UACR. We aimed to combine summary statistics from previous GWASs for eGFR and UACR in one prediction model and associate it with DKD prevalence. We then tested this using genetic data from 18,841 individuals diagnosed with type 2 diabetes in UK Biobank. We computed two genome-wide polygenic risk scores (GPS) aggregating effects of common variants associated with the two measurements, eGFR and UACR. We show that including both GPS in a single model confers significant improvement in comparison with the single GPS model generated from GWAS summary statistics for DKD. We also find in replication analysis in 5,389 individuals in the multi-ethnic BioMe Biobank, that although the combined model had consistent direction of association, the lowest performance was in individuals with recent African ancestry. In summary, we show that joint modeling of polygenic associations of eGFR and UACR is more significantly associated with DKD than individual modeling as well as a GPS comprised of only DKD summary statistics and may be used to gain insights into biology and progression. However, efforts should be made to develop and validate polygenic approaches in diverse populations.


Sign in / Sign up

Export Citation Format

Share Document