Genome-wide association studies of albuminuria: towards genetic stratification in diabetes?

被引:0
作者
Cristian Pattaro
机构
[1] Affiliated Institute of the University of Lübeck,Institute for Biomedicine, Eurac Research
来源
Journal of Nephrology | 2018年 / 31卷
关键词
Genome-wide association studies; Albuminuria; Proteinuria; Diabetes; Albumin excretion; Albumin-to-creatinine ratio;
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摘要
Genome-wide association studies (GWAS) have been very successful in unraveling the polygenic structure of several complex diseases and traits. In the case of albuminuria, despite the large sample size achieved by some studies, results look sparse with a limited number of loci reported so far. This review searched for GWAS studies of albumin excretion, albuminuria, and proteinuria. The resulting picture sets elements of uniqueness for albuminuria GWAS with respect to other complex traits. So far, very few loci associated with albuminuria have been validated by means of genome-wide significant evidence or formal replication. With rare exceptions, the validated loci are ethnicity specific. Within a given ethnicity, variants are common and have relatively large effects, especially in the presence of diabetes. In most cases, the identified variants were functional and a biological involvement of the target genes in renal damage was established. Recently reported variants associated with albuminuria in diabetes may be potentially combined into a genetic risk score, making it possible to rank diabetic patients by increasing risk of albuminuria. Validation of this model is required. To expand the understanding of the biological basis of albumin excretion regulation, future initiatives should achieve larger sample sizes and favor a transethnic study design.
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页码:475 / 487
页数:12
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[1]  
Levey AS(2011)The definition, classification, and prognosis of chronic kidney disease: a KDIGO controversies conference report Kidney Int 80 17-28
[2]  
de Jong PE(2010)Association of estimated glomerular filtration rate and albuminuria with all-cause and cardiovascular mortality in general population cohorts: a collaborative meta-analysis Lancet 375 2073-2081
[3]  
Coresh J(2015)Estimated glomerular filtration rate and albuminuria for prediction of cardiovascular outcomes: a collaborative meta-analysis of individual participant data Lancet Diabetes Endocrinol 3 514-525
[4]  
El Nahas M(2011)Genome-wide association studies of chronic kidney disease: what have we learned? Nat Rev Nephrol 8 89-99
[5]  
Astor BC(2015)Genome-wide studies to identify risk factors for kidney disease with a focus on patients with diabetes Nephrol Dial Transplant 30 iv26-34-562
[6]  
Matsushita K(2016)Insights into kidney diseases from genome-wide association studies Nat Rev Nephrol 12 549-574
[7]  
Matsushita K(2010)A single nucleotide polymorphism within the acetyl-coenzyme A carboxylase beta gene is associated with proteinuria in patients with type 2 diabetes PLoS Genet 6 e1000842-572
[8]  
van der Velde M(2012)New susceptibility loci associated with kidney disease in type 1 diabetes PLoS Genet 8 e1002921-570
[9]  
Astor BC(2017)The genetic landscape of renal complications in type 1 diabetes J Am Soc Nephrol 28 557-656
[10]  
Woodward M(2011)A genome-wide association study for diabetic nephropathy genes in African Americans Kidney Int 79 563-1563