Recent developments in genetics such as next-generation sequencing have strongly enhanced the diagnostic potential for patients with chronic kidney disease (CKD), including diabetic nephropathy (DN), and end-stage renal disease (ESRD). Current challenges include the implementation of these methods in clinical practice, to improve patient counseling and management. Simultaneously, novel genetic tools have contributed to growing insight in the etiology of – mainly monogenic – kidney diseases. For multifactorial diseases, affecting the majority of kidney patients, and disease states such as rejection following kidney transplantation, the impact of the ‘genetic revolution’ has so far been relatively limited. At the same time, genetic tools hold major potential for precision medicine in this field, for example by guiding immunosuppressive treatment after kidney transplantation.
The aim of this Research Topic is to provide novel evidence and summarize existing data on the genetics of both monogenic and multifactorial kidney diseases, the genetic impact on treatment of diabetic and non-diabetic CKD/ESRD, including transplant outcomes and pharmacogenomics, and the implementation of genetic diagnostics in clinical practice.
We will consider Original Research and Review papers covering the following topics:
1. Diagnostic yield of next-generation sequencing in patients with CKD
2. Identification of novel genes involved in monogenic or multifactorial kidney diseases, including exome/whole genome sequencing and single nucleotide peptide (SNP)-based approaches
3. Gene discovery related to kidney transplantation, including its complications (rejection, infection, cancer etc.)
4. Implementation of genetic tools in clinical nephrology practice
Conflict of Interest Statement
Dr. Martin De Borst leads a research project on the genetics of kidney disease, which is a public-private collaboration between University Medical Center Groningen and Sanofi Genzyme. All other topic editors declare no competing interests with regards to the Research Topic subject.
Recent developments in genetics such as next-generation sequencing have strongly enhanced the diagnostic potential for patients with chronic kidney disease (CKD), including diabetic nephropathy (DN), and end-stage renal disease (ESRD). Current challenges include the implementation of these methods in clinical practice, to improve patient counseling and management. Simultaneously, novel genetic tools have contributed to growing insight in the etiology of – mainly monogenic – kidney diseases. For multifactorial diseases, affecting the majority of kidney patients, and disease states such as rejection following kidney transplantation, the impact of the ‘genetic revolution’ has so far been relatively limited. At the same time, genetic tools hold major potential for precision medicine in this field, for example by guiding immunosuppressive treatment after kidney transplantation.
The aim of this Research Topic is to provide novel evidence and summarize existing data on the genetics of both monogenic and multifactorial kidney diseases, the genetic impact on treatment of diabetic and non-diabetic CKD/ESRD, including transplant outcomes and pharmacogenomics, and the implementation of genetic diagnostics in clinical practice.
We will consider Original Research and Review papers covering the following topics:
1. Diagnostic yield of next-generation sequencing in patients with CKD
2. Identification of novel genes involved in monogenic or multifactorial kidney diseases, including exome/whole genome sequencing and single nucleotide peptide (SNP)-based approaches
3. Gene discovery related to kidney transplantation, including its complications (rejection, infection, cancer etc.)
4. Implementation of genetic tools in clinical nephrology practice
Conflict of Interest Statement
Dr. Martin De Borst leads a research project on the genetics of kidney disease, which is a public-private collaboration between University Medical Center Groningen and Sanofi Genzyme. All other topic editors declare no competing interests with regards to the Research Topic subject.