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Journal of Nephrology

, Volume 31, Issue 4, pp 475–487 | Cite as

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

Review

Abstract

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.

Keywords

Genome-wide association studies Albuminuria Proteinuria Diabetes Albumin excretion Albumin-to-creatinine ratio 

Notes

Compliance with ethical standards

Conflict of interest

I have no conflict of interest.

Research involving human participants and/or animals

This article does not contain any studies with human participants or animals performed by any of the authors.

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Copyright information

© Italian Society of Nephrology 2017

Authors and Affiliations

  1. 1.Institute for Biomedicine, Eurac ResearchAffiliated Institute of the University of LübeckBolzanoItaly

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