Literature DB >> 19028263

The impact of immune gene polymorphisms in kidney and liver transplantation.

Peter Nickerson1.   

Abstract

Since the completion of the Human Genome Project, it has become clear that genetic variation exists among individuals that can affect functional gene expression. This finding raises the possibility that differences in genetic phenotypes may account for the interindividual responses seen in the context of the alloimmune response. This review highlights studies examining the relative role of immunologic gene polymorphism in the context of renal and liver transplant outcomes (eg, acute rejection and graft survival). Furthermore, it examines the limitations and pitfalls in the study designs and concludes with the potential of single nucleotide polymorphism analysis in the future care of transplant recipients.

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Year:  2008        PMID: 19028263     DOI: 10.1016/j.cll.2008.09.003

Source DB:  PubMed          Journal:  Clin Lab Med        ISSN: 0272-2712            Impact factor:   1.935


  6 in total

Review 1.  Molecular diagnostics in transplantation.

Authors:  Maarten Naesens; Minnie M Sarwal
Journal:  Nat Rev Nephrol       Date:  2010-08-24       Impact factor: 28.314

2.  Validation of single nucleotide polymorphisms associated with acute rejection in kidney transplant recipients using a large multi-center cohort.

Authors:  William S Oetting; David P Schladt; Robert E Leduc; Pamala A Jacobson; Weihua Guan; Arthur J Matas; Ajay Israni
Journal:  Transpl Int       Date:  2011-09-29       Impact factor: 3.782

3.  Multilocus association testing with penalized regression.

Authors:  Saonli Basu; Wei Pan; Xiaotong Shen; William S Oetting
Journal:  Genet Epidemiol       Date:  2011-09-15       Impact factor: 2.135

4.  Validation of genetic variants associated with early acute rejection in kidney allograft transplantation.

Authors:  William S Oetting; Yanni Zhu; Marcia J Brott; Arthur J Matas; Gretchen K Cordner; Wei Pan
Journal:  Clin Transplant       Date:  2011-09-15       Impact factor: 2.863

5.  Concept and design of a genome-wide association genotyping array tailored for transplantation-specific studies.

Authors:  Yun R Li; Jessica van Setten; Shefali S Verma; Yontao Lu; Michael V Holmes; Hui Gao; Monkol Lek; Nikhil Nair; Hareesh Chandrupatla; Baoli Chang; Konrad J Karczewski; Chanel Wong; Maede Mohebnasab; Eyas Mukhtar; Randy Phillips; Vinicius Tragante; Cuiping Hou; Laura Steel; Takesha Lee; James Garifallou; Toumy Guettouche; Hongzhi Cao; Weihua Guan; Aubree Himes; Jacob van Houten; Andrew Pasquier; Reina Yu; Elena Carrigan; Michael B Miller; David Schladt; Abdullah Akdere; Ana Gonzalez; Kelsey M Llyod; Daniel McGinn; Abhinav Gangasani; Zach Michaud; Abigail Colasacco; James Snyder; Kelly Thomas; Tiancheng Wang; Baolin Wu; Alhusain J Alzahrani; Amein K Al-Ali; Fahad A Al-Muhanna; Abdullah M Al-Rubaish; Samir Al-Mueilo; Dimitri S Monos; Barbara Murphy; Kim M Olthoff; Cisca Wijmenga; Teresa Webster; Malek Kamoun; Suganthi Balasubramanian; Matthew B Lanktree; William S Oetting; Pablo Garcia-Pavia; Daniel G MacArthur; Paul I W de Bakker; Hakon Hakonarson; Kelly A Birdwell; Pamala A Jacobson; Marylyn D Ritchie; Folkert W Asselbergs; Ajay K Israni; Abraham Shaked; Brendan J Keating
Journal:  Genome Med       Date:  2015-10-01       Impact factor: 11.117

6.  DNA methylation biomarkers predict progression-free and overall survival of metastatic renal cell cancer (mRCC) treated with antiangiogenic therapies.

Authors:  Inga Peters; Natalia Dubrowinskaja; Mahmoud Abbas; Christoph Seidel; Michael Kogosov; Ralph Scherer; Kai Gebauer; Axel S Merseburger; Markus A Kuczyk; Viktor Grünwald; Jürgen Serth
Journal:  PLoS One       Date:  2014-03-14       Impact factor: 3.240

  6 in total

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