Literature DB >> 24780457

Genetic and epigenetic risk factors for diabetic kidney disease.

Amy Jayne McKnight1, Gareth J McKay2, Alexander P Maxwell2.   

Abstract

Diabetes is increasing at daunting rates worldwide, and approximately 40% of affected individuals will develop kidney complications. Diabetic kidney disease (DKD) is the leading cause of end-stage kidney disease, and there are significant healthcare costs providing appropriate renal replacement therapies to affected individuals. For several decades, investigators have sought to discover inherited risk factors and biomarkers for DKD. In recent years, advances in high-throughput laboratory techniques and computational analyses, coupled with the establishment of multicenter consortia, have helped to identify genetic loci that are replicated across multiple populations. Several genome-wide association studies (GWAS) have been conducted for DKD with further meta-analysis of GWAS and comprehensive "single gene" meta-analyses now published. Despite these efforts, much of the inherited predisposition to DKD remains unexplained. Meta-analyses and integrated-omics pathway studies are being used to help elucidate underlying genetic risks. Epigenetic phenomena are increasingly recognized as important drivers of disease risk, and several epigenome-wide association studies have now been completed. This review describes key findings and ongoing genetic and epigenetic initiatives for DKD.
Copyright © 2014 National Kidney Foundation, Inc. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Diabetic; Epigenetic; Genetic; Kidney; Meta-analysis

Mesh:

Year:  2014        PMID: 24780457     DOI: 10.1053/j.ackd.2014.03.010

Source DB:  PubMed          Journal:  Adv Chronic Kidney Dis        ISSN: 1548-5595            Impact factor:   3.620


  13 in total

Review 1.  Genetics of diabetic nephropathy: a long road of discovery.

Authors:  Amy Jayne McKnight; Seamus Duffy; Alexander P Maxwell
Journal:  Curr Diab Rep       Date:  2015-07       Impact factor: 4.810

Review 2.  Insights into kidney diseases from genome-wide association studies.

Authors:  Matthias Wuttke; Anna Köttgen
Journal:  Nat Rev Nephrol       Date:  2016-08-01       Impact factor: 28.314

Review 3.  Epigenetic mechanisms in diabetic complications and metabolic memory.

Authors:  Marpadga A Reddy; Erli Zhang; Rama Natarajan
Journal:  Diabetologia       Date:  2014-12-07       Impact factor: 10.122

Review 4.  Recent developments in epigenetics of acute and chronic kidney diseases.

Authors:  Marpadga A Reddy; Rama Natarajan
Journal:  Kidney Int       Date:  2015-05-20       Impact factor: 10.612

Review 5.  FRMD3 gene: its role in diabetic kidney disease. A narrative review.

Authors:  Marjoriê Piuco Buffon; Denise Alves Sortica; Fernando Gerchman; Daisy Crispim; Luís Henrique Canani
Journal:  Diabetol Metab Syndr       Date:  2015-12-30       Impact factor: 3.320

6.  Genetic risk factors affecting mitochondrial function are associated with kidney disease in people with Type 1 diabetes.

Authors:  E J Swan; R M Salem; N Sandholm; L Tarnow; P Rossing; M Lajer; P H Groop; A P Maxwell; A J McKnight
Journal:  Diabet Med       Date:  2015-04-13       Impact factor: 4.359

7.  rs1888747 polymorphism in the FRMD3 gene, gene and protein expression: role in diabetic kidney disease.

Authors:  Marjoriê P Buffon; Mariana P Carpena; Denise A Sortica; Andressa Santer; Rodrigo Carlessi; Bianca M de Souza; Maria I Edelweiss; Milton Berger; Daisy Crispim; Luís H Canani
Journal:  Diabetol Metab Syndr       Date:  2016-01-08       Impact factor: 3.320

8.  Development of next generation sequencing panel for UMOD and association with kidney disease.

Authors:  Caitlin Bailie; Jill Kilner; Alexander P Maxwell; Amy Jayne McKnight
Journal:  PLoS One       Date:  2017-06-13       Impact factor: 3.240

Review 9.  Management of anemia in patients with diabetic kidney disease: A consensus statement.

Authors:  Sarita Bajaj; Brij Mohan Makkar; Vinod K Abichandani; Pradeep G Talwalkar; Banshi Saboo; S S Srikanta; Ashok Das; Sruti Chandrasekaran; P Venkata Krishnan; Arun Shah; Georgi Abraham; Pankaj Tikku; Sushil Kumar
Journal:  Indian J Endocrinol Metab       Date:  2016 Mar-Apr

Review 10.  Clinical predictive factors in diabetic kidney disease progression.

Authors:  Nicholas J Radcliffe; Jas-Mine Seah; Michele Clarke; Richard J MacIsaac; George Jerums; Elif I Ekinci
Journal:  J Diabetes Investig       Date:  2016-06-08       Impact factor: 4.232

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