Evidence map›Paper›PMID 30801535›Full record

ArticleTransplantation2019

Analysis of 75 Candidate SNPs Associated With Acute Rejection in Kidney Transplant Recipients: Validation of rs2910164 in MicroRNA MIR146A.

William S Oetting, David P Schladt, Casey R Dorr, Baolin Wu, Weihua Guan, Rory P Remmel, David Iklé, Roslyn B Mannon, Arthur J Matas, Ajay K Israni and 2 more

Abstract readMulticenter Study
In one paragraph

Article in Transplantation, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Population-Specific Exploration ofInternational journal of molecular sciences · 2026
    Article
  3. Article
  4. Article
  5. MicroRNAs in kidney injury and disease.Nature reviews. Nephrology · 2022
    Review
  6. Review
  7. Association of Polymorphisms inDisease markers · 2022
    Article
  8. Article
  9. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

William S OettingDepartment of Experimental and Clinical Pharmacology, University of Minnesota, Minneapolis, MN.
David P SchladtHennepin Healthcare Research Institute, Minneapolis, MN.
Casey R DorrHennepin Healthcare Research Institute, Minneapolis, MN.
Baolin WuDepartment of Biostatistics, University of Minnesota, Minneapolis, MN.
Weihua GuanDepartment of Biostatistics, University of Minnesota, Minneapolis, MN.
Rory P RemmelDepartment of Medicinal Chemistry, University of Minnesota, Minneapolis, MN.
David IkléRho, Chapel Hill, NC.
Roslyn B MannonDivision of Nephrology, University of Alabama at Birmingham, Birmingham, AL.
Arthur J MatasDepartment of Surgery, University of Minnesota, Minneapolis, MN.
Ajay K IsraniDepartment of Medicine, Hennepin Healthcare, Minneapolis, MN.
Pamala A JacobsonDepartment of Experimental and Clinical Pharmacology, University of Minnesota, Minneapolis, MN.
DeKAF Genomics and GEN03 Investigators

Funding

Transplantation GroupUM2AI117870 · NIAID · RHO FEDERAL SYSTEMS DIVISION, INC. · PI DAVID, GLORIA · 2015 to 2023
$208.1M
Pharmacogenomics of Immune Suppressants in Kidney TransplantationU19AI070119 · NIAID · UNIVERSITY OF MINNESOTA · PI MATAS, ARTHUR J · 2006 to 2016
$17.1M
Long-term Deterioration of Kidney Allograft FunctionU01AI058013 · NIAID · UNIVERSITY OF MINNESOTA TWIN CITIES · PI MATAS, ARTHUR J · 2005 to 2010
$10.2M
Genetic Variants Associated with Tacrolimus Metabolism in Kidney Transplant RecipientsK01AI130409 · NIAID · HENNEPIN HEALTHCARE RESEARCH INSTITUTE · PI DORR, CASEY R · 2018 to 2022
$724k
Molecular and Cellular Analysis of Allograft Loss in Kidney Transplant BiopsiesR21AI171826 · NIAID · HENNEPIN HEALTHCARE RESEARCH INSTITUTE · PI DORR, CASEY R · 2022 to 2023
$406k
NIAID NIH HHS K01 AI130409NIAID NIH HHS R21 AI171826NIAID NIH HHS U01 AI058013NIAID NIH HHS U19 AI070119NIAID NIH HHS UM2 AI117870
6 · The paper itself

Abstract

backgroundIdentifying kidney allograft recipients who are predisposed to acute rejection (AR) could allow for optimization of clinical treatment to avoid rejection and prolong graft survival. It has been hypothesized that a part of this predisposition is caused by the inheritance of specific genetic variants. There are many publications reporting a statistically significant association between a genetic variant, usually in the form of a single-nucleotide polymorphism (SNP), and AR. However, there are additional publications reporting a lack of this association when a different cohort of recipients is analyzed for the same single-nucleotide polymorphism.

methodsIn this report, we attempted to validate 75 common genetic variants, which have been previously reported to be associated with AR, using a large kidney allograft recipient cohort of 2390 European Americans and 482 African Americans.

resultsOf those variants tested, only 1 variant, rs2910164, which alters the expression of the microRNA MIR146A, was found to exhibit a significant association within the African American cohort. Suggestive variants were found in the genes CTLA and TLR4.

conclusionsOur results show that most variants previously reported to be associated with AR were not validated in our cohort. This shows the importance of validation when reporting the associations with complex clinical outcomes such as AR. Additional work will need to be done to understand the role of MIR146A in the risk of AR in kidney allograft recipients.

Indexed as

Kidney TransplantationPolymorphism, Single NucleotideTransplant RecipientsAcute DiseaseFemaleGenotypeGraft RejectionGraft SurvivalHumansKidney Failure, ChronicMaleMicroRNAsMiddle AgedRNATransplantation, HomologousMicroRNAsMIRN146 microRNA, humanRNA

Identifiers

PMID30801535
PMCPMC6913779

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.