Literature DB >> 29123971

Concepts of Genomics in Kidney Transplantation.

William S Oetting1, Casey Dorr2,3, Rory P Remmel4, Arthur J Matas5, Ajay K Israni2,3, Pamala A Jacobson1.   

Abstract

PURPOSE OF REVIEW: Identification of genetic variants to aid in individualized treatment of solid organ allograft recipients would improve graft survival. We will review the current state of knowledge for associations of variants with transplant outcomes. RECENT
FINDINGS: Many studies have yet to exhibit robust and reproducible results, however, pharmacogenomic studies focusing on cytochrome P450 (CYP) enzymes, transporters and HLA variants have shown strong associations with outcomes and have relevance towards drugs used in transplant. Genome wide association study data for the immunosuppressant tacrolimus have identified multiple variants in the CYP3A5 gene associated with trough concentrations. Additionally, APOL1 variants had been shown to confer risk to the development of end stage renal disease in African Americans.
SUMMARY: The field is rapidly evolving and new technology such as next generation sequencing, along with larger cohorts, will soon be commonly applied in transplantation to understand genetic association with outcomes and personalized medicine.

Entities:  

Keywords:  APOL1; Kidney transplant; genome wide association studies; genomics; pharmacogenomics; sequencing

Year:  2017        PMID: 29123971      PMCID: PMC5673265          DOI: 10.1007/s40472-017-0153-x

Source DB:  PubMed          Journal:  Curr Transplant Rep


  71 in total

1.  Dosing equation for tacrolimus using genetic variants and clinical factors.

Authors:  Chaitali Passey; Angela K Birnbaum; Richard C Brundage; William S Oetting; Ajay K Israni; Pamala A Jacobson
Journal:  Br J Clin Pharmacol       Date:  2011-12       Impact factor: 4.335

2.  APOL1 and kidney disease: new insights leading to novel therapies.

Authors:  Barry I Freedman
Journal:  Am J Kidney Dis       Date:  2015-07       Impact factor: 8.860

3.  Single Nucleotide Polymorphisms and Long-Term Clinical Outcome in Renal Transplant Patients: A Validation Study.

Authors:  H K Pihlstrøm; G Mjøen; S Mucha; G Haraldsen; A Franke; A Jardine; B Fellström; H Holdaas; E Melum
Journal:  Am J Transplant       Date:  2016-09-19       Impact factor: 8.086

4.  High Intrapatient Variability of Tacrolimus Concentrations Predicts Accelerated Progression of Chronic Histologic Lesions in Renal Recipients.

Authors:  T Vanhove; T Vermeulen; P Annaert; E Lerut; D R J Kuypers
Journal:  Am J Transplant       Date:  2016-04-21       Impact factor: 8.086

5.  High within-patient variability in the clearance of tacrolimus is a risk factor for poor long-term outcome after kidney transplantation.

Authors:  Lennaert C P Borra; Joke I Roodnat; Judith A Kal; Ron A A Mathot; Willem Weimar; Teun van Gelder
Journal:  Nephrol Dial Transplant       Date:  2010-02-26       Impact factor: 5.992

6.  Intra-patient variability in tacrolimus trough concentrations and renal function decline in pediatric renal transplant recipients.

Authors:  Agnieszka A Prytula; Antonia H Bouts; Ron A A Mathot; Teun van Gelder; Ludwig K Croes; Wim Hop; Karlien Cransberg
Journal:  Pediatr Transplant       Date:  2012-06-13

7.  Clinical pharmacogenetics implementation consortium guidelines for CYP2C9 and HLA-B genotypes and phenytoin dosing.

Authors:  K E Caudle; A E Rettie; M Whirl-Carrillo; L H Smith; S Mintzer; M T M Lee; T E Klein; J T Callaghan
Journal:  Clin Pharmacol Ther       Date:  2014-08-06       Impact factor: 6.875

8.  Clinical Pharmacogenetics Implementation Consortium guidelines for CYP2C19 genotype and clopidogrel therapy: 2013 update.

Authors:  S A Scott; K Sangkuhl; C M Stein; J-S Hulot; J L Mega; D M Roden; T E Klein; M S Sabatine; J A Johnson; A R Shuldiner
Journal:  Clin Pharmacol Ther       Date:  2013-05-22       Impact factor: 6.875

9.  Detecting rare variant effects using extreme phenotype sampling in sequencing association studies.

Authors:  Ian J Barnett; Seunggeun Lee; Xihong Lin
Journal:  Genet Epidemiol       Date:  2012-11-26       Impact factor: 2.135

10.  Analysis of single nucleotide polymorphisms implicate mTOR signalling in the development of new-onset diabetes after transplantation.

Authors:  S Chand; A J McKnight; S Shabir; W Chan; J A McCaughan; A P Maxwell; L Harper; R Borrows
Journal:  BBA Clin       Date:  2016-01-08
View more
  2 in total

1.  Genetic Variants Associated With Immunosuppressant Pharmacokinetics and Adverse Effects in the DeKAF Genomics Genome-wide Association Studies.

Authors:  William S Oetting; Baolin Wu; David P Schladt; Weihua Guan; Jessica van Setten; Brendan J Keating; David Iklé; Rory P Remmel; Casey R Dorr; Roslyn B Mannon; Arthur J Matas; Ajay K Israni; Pamala A Jacobson
Journal:  Transplantation       Date:  2019-06       Impact factor: 4.939

Review 2.  Molecular Markers of Kidney Transplantation Outcome: Current Omics Tools and Future Developments.

Authors:  Maryne Lepoittevin; Thomas Kerforne; Luc Pellerin; Thierry Hauet; Raphael Thuillier
Journal:  Int J Mol Sci       Date:  2022-06-05       Impact factor: 6.208

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.