Literature DB >> 28597138

Advances in renal genetic diagnosis.

Carsten Bergmann1,2.   

Abstract

Most genetic disorders are clinically and genetically heterogeneous. Next-generation sequencing (NGS) has revolutionized the field and is providing rapidly growing insights into the pathomechanism of hereditary nephropathies. Current best-practice guidelines for most hereditary nephropathies include genetic diagnostics. The increasing number of genes that have to be considered in patients with hereditary nephropathies is often challenging when addressed by conventional techniques and largely benefits from NGS-based approaches that allow the parallel analysis of all disease genes in a single test at relatively low cost, e.g., by the use of multi-gene panels. Knowledge of the underlying genotype is of advantage in discussions with regard to transplantation and therapeutic options. Further, genetics may aid the early detection and treatment of renal and extrarenal complications and the reduction of invasive procedures. An accurate genetic diagnosis is crucial for genetic counselling, provides information about the recurrence risk and may help to improve the clinical management of patients and their families. The bottleneck in genetics is no longer the primary wet lab process but the interpretation of the obtained genetic data, which is by far the most challenging and work-intensive part of the analysis. This can only be managed in a multidisciplinary setting that brings together expert knowledge in genetics and the respective medical field. In the future, bench and bedside benefits can be expected from this kind of digitized medicine.

Entities:  

Keywords:  Clinical management; Genetic counselling; Genetic diagnostics; Hereditary nephropathies; Next-generation sequencing (NGS)

Mesh:

Year:  2017        PMID: 28597138     DOI: 10.1007/s00441-017-2636-6

Source DB:  PubMed          Journal:  Cell Tissue Res        ISSN: 0302-766X            Impact factor:   5.249


  5 in total

1.  Detection of copy number variations by pair analysis using next-generation sequencing data in inherited kidney diseases.

Authors:  China Nagano; Kandai Nozu; Naoya Morisada; Masahiko Yazawa; Daisuke Ichikawa; Keita Numasawa; Hiroyo Kourakata; Chieko Matsumura; Satoshi Tazoe; Ryojiro Tanaka; Tomohiko Yamamura; Shogo Minamikawa; Tomoko Horinouchi; Keita Nakanishi; Junya Fujimura; Nana Sakakibara; Yoshimi Nozu; Ming Juan Ye; Hiroshi Kaito; Kazumoto Iijima
Journal:  Clin Exp Nephrol       Date:  2018-01-25       Impact factor: 2.801

2.  The underestimated burden of monogenic kidney disease in adults waitlisted for kidney transplantation.

Authors:  Eva Schrezenmeier; Elisa Kremerskothen; Fabian Halleck; Oliver Staeck; Lutz Liefeldt; Mira Choi; Markus Schüler; Ulrike Weber; Nadine Bachmann; Maik Grohmann; Timo Wagner; Klemens Budde; Carsten Bergmann
Journal:  Genet Med       Date:  2021-03-12       Impact factor: 8.822

3.  Genetic Study in Korean Pediatric Patients with Steroid-Resistant Nephrotic Syndrome or Focal Segmental Glomerulosclerosis.

Authors:  Eujin Park; Chung Lee; Nayoung K D Kim; Yo Han Ahn; Young Seo Park; Joo Hoon Lee; Seong Heon Kim; Min Hyun Cho; Heeyeon Cho; Kee Hwan Yoo; Jae Il Shin; Hee Gyung Kang; Il-Soo Ha; Woong-Yang Park; Hae Il Cheong
Journal:  J Clin Med       Date:  2020-06-26       Impact factor: 4.241

4.  Problems of Unknown Significance: Counseling in the Era of Next Generation Sequencing.

Authors:  U Fahrioğlu
Journal:  Balkan J Med Genet       Date:  2018-10-29       Impact factor: 0.519

Review 5.  Look Alike, Sound Alike: Phenocopies in Steroid-Resistant Nephrotic Syndrome.

Authors:  Francesca Becherucci; Samuela Landini; Luigi Cirillo; Benedetta Mazzinghi; Paola Romagnani
Journal:  Int J Environ Res Public Health       Date:  2020-11-12       Impact factor: 3.390

  5 in total

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