Literature DB >> 27862962

Effect of Replacing Race With Apolipoprotein L1 Genotype in Calculation of Kidney Donor Risk Index.

B A Julian1, R S Gaston1, W M Brown2, A M Reeves-Daniel3, A K Israni4,5, D P Schladt5, S O Pastan6, S Mohan7, B I Freedman3,8, J Divers2,8.   

Abstract

Renal allografts from deceased African American donors with two apolipoprotein L1 gene (APOL1) renal-risk variants fail sooner than kidneys from donors with fewer variants. The Kidney Donor Risk Index (KDRI) was developed to evaluate organ offers by predicting allograft longevity and includes African American race as a risk factor. Substituting APOL1 genotype for race may refine the KDRI. For 622 deceased African American kidney donors, we applied a 10-fold cross-validation approach to estimate contribution of APOL1 variants to a revised KDRI. Cross-validation was repeated 10 000 times to generate distribution of effect size associated with APOL1 genotype. Average effect size was used to derive the revised KDRI weighting. Mean current-KDRI score for all donors was 1.4930 versus mean revised-KDRI score 1.2518 for 529 donors with no or one variant and 1.8527 for 93 donors with two variants. Original and revised KDRIs had comparable survival prediction errors after transplantation, but the spread in Kidney Donor Profile Index based on presence or absence of two APOL1 variants was 37 percentage points. Replacing donor race with APOL1 genotype in KDRI better defines risk associated with kidneys transplanted from deceased African American donors, substantially improves KDRI score for 85-90% of kidneys offered, and enhances the link between donor quality and recipient need.
© 2016 The American Society of Transplantation and the American Society of Transplant Surgeons.

Entities:  

Keywords:  clinical research/practice; disparities; donors and donation: deceased; genetics; kidney transplantation/nephrology; organ allocation; organ procurement and allocation

Mesh:

Substances:

Year:  2017        PMID: 27862962      PMCID: PMC5429996          DOI: 10.1111/ajt.14113

Source DB:  PubMed          Journal:  Am J Transplant        ISSN: 1600-6135            Impact factor:   8.086


  21 in total

1.  The contribution of donor quality to differential graft survival in African American and Caucasian renal transplant recipients.

Authors:  R M Cannon; G N Brock; M R Marvin; D P Slakey; J F Buell
Journal:  Am J Transplant       Date:  2012-05-17       Impact factor: 8.086

2.  Estimating and comparing time-dependent areas under receiver operating characteristic curves for censored event times with competing risks.

Authors:  Paul Blanche; Jean-François Dartigues; Hélène Jacqmin-Gadda
Journal:  Stat Med       Date:  2013-09-12       Impact factor: 2.373

3.  Evaluating Random Forests for Survival Analysis using Prediction Error Curves.

Authors:  Ulla B Mogensen; Hemant Ishwaran; Thomas A Gerds
Journal:  J Stat Softw       Date:  2012-09       Impact factor: 6.440

4.  The APOL1 gene and allograft survival after kidney transplantation.

Authors:  A M Reeves-Daniel; J A DePalma; A J Bleyer; M V Rocco; M Murea; P L Adams; C D Langefeld; D W Bowden; P J Hicks; R J Stratta; J-J Lin; D F Kiger; M D Gautreaux; J Divers; B I Freedman
Journal:  Am J Transplant       Date:  2011-04-12       Impact factor: 8.086

5.  Effect of waiting time on renal transplant outcome.

Authors:  H U Meier-Kriesche; F K Port; A O Ojo; S M Rudich; J A Hanson; D M Cibrik; A B Leichtman; B Kaplan
Journal:  Kidney Int       Date:  2000-09       Impact factor: 10.612

6.  The MYH9/APOL1 region and chronic kidney disease in European-Americans.

Authors:  Conall M O'Seaghdha; Rulan S Parekh; Shih-Jen Hwang; Man Li; Anna Köttgen; Josef Coresh; Qiong Yang; Caroline S Fox; W H Linda Kao
Journal:  Hum Mol Genet       Date:  2011-03-23       Impact factor: 6.150

7.  Improved scoring system to assess adult donors for cadaver renal transplantation.

Authors:  Scott L Nyberg; Arthur J Matas; Walter K Kremers; Jeffrey D Thostenson; Timothy S Larson; Mikel Prieto; Michael B Ishitani; Sylvester Sterioff; Mark D Stegall
Journal:  Am J Transplant       Date:  2003-06       Impact factor: 8.086

8.  Effect of changing the priority for HLA matching on the rates and outcomes of kidney transplantation in minority groups.

Authors:  John P Roberts; Robert A Wolfe; Jennifer L Bragg-Gresham; Sarah H Rush; James J Wynn; Dale A Distant; Valarie B Ashby; Philip J Held; Friedrich K Port
Journal:  N Engl J Med       Date:  2004-02-05       Impact factor: 91.245

9.  New national allocation policy for deceased donor kidneys in the United States and possible effect on patient outcomes.

Authors:  Ajay K Israni; Nicholas Salkowski; Sally Gustafson; Jon J Snyder; John J Friedewald; Richard N Formica; Xinyue Wang; Eugene Shteyn; Wida Cherikh; Darren Stewart; Ciara J Samana; Adrine Chung; Allyson Hart; Bertram L Kasiske
Journal:  J Am Soc Nephrol       Date:  2014-05-15       Impact factor: 10.121

10.  Should kidney donors be genotyped for APOL1 risk alleles?

Authors:  Barry I Freedman; Bruce A Julian
Journal:  Kidney Int       Date:  2015-04       Impact factor: 10.612

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  28 in total

Review 1.  Genetic risk of APOL1 and kidney disease in children and young adults of African ancestry.

Authors:  Kimberly J Reidy; Rebecca Hjorten; Rulan S Parekh
Journal:  Curr Opin Pediatr       Date:  2018-04       Impact factor: 2.856

2.  Diversity and inclusion in genomic research: why the uneven progress?

Authors:  Amy R Bentley; Shawneequa Callier; Charles N Rotimi
Journal:  J Community Genet       Date:  2017-07-18

3.  Synthesizing Absolute and Relative Risks and the Many Unknowns to Inform Living Kidney Donors.

Authors:  Emilio D Poggio; Jesse D Schold
Journal:  J Am Soc Nephrol       Date:  2017-05-02       Impact factor: 10.121

Review 4.  Practical Considerations for APOL1 Genotyping in the Living Kidney Donor Evaluation.

Authors:  Alejandra M Mena-Gutierrez; Amber M Reeves-Daniel; Colleen L Jay; Barry I Freedman
Journal:  Transplantation       Date:  2020-01       Impact factor: 4.939

5.  Joint testing of donor and recipient genetic matching scores and recipient genotype has robust power for finding genes associated with transplant outcomes.

Authors:  Victoria L Arthur; Weihua Guan; Bao-Li Loza; Brendan Keating; Jinbo Chen
Journal:  Genet Epidemiol       Date:  2020-08-11       Impact factor: 2.135

6.  Apolipoprotein L1 Testing in African Americans: Involving the Community in Policy Discussions.

Authors:  Bessie A Young; Erika Blacksher; Kerri L Cavanaugh; Barry I Freedman; Stephanie M Fullerton; Jeffrey B Kopp; Ebele M Umeukeje; Kathleen M West; James G Wilson; Wylie Burke
Journal:  Am J Nephrol       Date:  2019-09-03       Impact factor: 3.754

7.  The APOL1 Long-Term Kidney Transplantation Outcomes Network-APOLLO.

Authors:  Barry I Freedman; Marva Moxey-Mims
Journal:  Clin J Am Soc Nephrol       Date:  2018-04-27       Impact factor: 8.237

8.  Donor's APOL1 Risk Genotype and "Second Hits" Associated With De Novo Collapsing Glomerulopathy in Deceased Donor Kidney Transplant Recipients: A Report of 5 Cases.

Authors:  Jae-Hyung Chang; S Ali Husain; Dominick Santoriello; Michael B Stokes; Clifford D Miles; Kirk W Foster; Yifu Li; Leigh-Anne Dale; Russell J Crew; David J Cohen; Krzysztof Kiryluk; Ali G Gharavi; Sumit Mohan
Journal:  Am J Kidney Dis       Date:  2018-07-25       Impact factor: 8.860

9.  Donor APOL1 high-risk genotypes are associated with increased risk and inferior prognosis of de novo collapsing glomerulopathy in renal allografts.

Authors:  Dominick Santoriello; Syed A Husain; Sacha A De Serres; Andrew S Bomback; Russell J Crew; Elena-Rodica Vasilescu; Geo Serban; Eric S Campenot; Krzysztof Kiryluk; Sumit Mohan; Gregory A Hawkins; Pamela J Hicks; David J Cohen; Jai Radhakrishnan; Michael B Stokes; Glen S Markowitz; Barry I Freedman; Vivette D D'Agati; Ibrahim Batal
Journal:  Kidney Int       Date:  2018-10-02       Impact factor: 10.612

Review 10.  Apolipoprotein L1 nephropathies: 2017 in review.

Authors:  Jeffrey B Kopp; Hila Roshanravan; Koji Okamoto
Journal:  Curr Opin Nephrol Hypertens       Date:  2018-05       Impact factor: 2.894

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