Evidence map›Paper›PMID 27684477›Full record

ArticlePLoS computational biology2016

Exome Sequencing and Prediction of Long-Term Kidney Allograft Function.

Laurent Mesnard, Thangamani Muthukumar, Maren Burbach, Carol Li, Huimin Shang, Darshana Dadhania, John R Lee, Vijay K Sharma, Jenny Xiang, Caroline Suberbielle and 7 more

Open access · goldAbstract read
In one paragraph

Article in PLoS computational biology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 2 pooled it
4.0field-weighted citation impact, top 6% of its field
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

24 citing papers in PubMed, 2 syntheses or guidelines pooled it, 55 citations in OpenAlex.

  1. Genome-wide donor-recipient non-HLA mismatch and graft loss.Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association · 2025
    Pooled it
  2. Pooled it
  3. Review
  4. Article
  5. Novel Aspects of Immunogenetics and Post-Transplant Events in Kidney Transplantation.Transplant international : official journal of the European Society for Organ Transplantation · 2024
    Review
  6. Article
  7. KiT-GENIE, the French genetic biobank of kidney transplantation.European journal of human genetics : EJHG · 2023
    Article
  8. Article
  9. Review
  10. Review
  11. Review
  12. Article
  13. Review
  14. Article
  15. Sensitization in transplantation: Assessment of risk (STAR) 2019 Working Group Meeting Report.American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons · 2020
    Review
  16. Review
  17. Review
  18. Article
  19. Novel insights into non-HLA alloimmunity in kidney transplantation.Transplant international : official journal of the European Society for Organ Transplantation · 2020
    Review
  20. Non-HLA donor-recipient mismatches in kidney transplantation-A stone left unturned.American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons · 2020
    Review
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

17 authors at 5 institutions in 2 countries.

Laurent MesnardThe HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medical College, New York, New York, United States of America; Department of Physiology and Biophysics, The Weill Cornell Medical College, New York, New York, United States of America.
Thangamani MuthukumarDivision of Nephrology and Hypertension, Weill Cornell Medical College, New York, New York, United States of America.
Maren BurbachDivision of Nephrology and Hypertension, Weill Cornell Medical College, New York, New York, United States of America.
Carol LiDivision of Nephrology and Hypertension, Weill Cornell Medical College, New York, New York, United States of America.
Huimin ShangGenomics Core Facility, Weill Cornell Medical College, New York, New York, United States of America.
Darshana DadhaniaDivision of Nephrology and Hypertension, Weill Cornell Medical College, New York, New York, United States of America.
John R LeeDivision of Nephrology and Hypertension, Weill Cornell Medical College, New York, New York, United States of America.
Vijay K SharmaDivision of Nephrology and Hypertension, Weill Cornell Medical College, New York, New York, United States of America.ORCID http://orcid.org/0000-0003-4016-9911
Jenny XiangGenomics Core Facility, Weill Cornell Medical College, New York, New York, United States of America.
Caroline SuberbielleLaboratoire d'histocompatibilité Hôpital Saint Louis APHP, Paris, France.
Maryvonnick CarmagnatLaboratoire d'histocompatibilité Hôpital Saint Louis APHP, Paris, France.
Nacera OualiINSERM UMR1155 et Service des Urgences Néphrologiques et Transplantation Rénale, APHP, Hôpital Tenon, Paris, France.
Eric RondeauINSERM UMR1155 et Service des Urgences Néphrologiques et Transplantation Rénale, APHP, Hôpital Tenon, Paris, France.
John J FriedewaldNorthwestern University Feinberg School of Medicine, Chicago, Illinois, United States of America.ORCID http://orcid.org/0000-0002-9344-9928
Michael M AbecassisComprehensive Transplant Center, Northwestern University Feinberg School of Medicine, Chicago, Illinois, United States of America.
Manikkam SuthanthiranDivision of Nephrology and Hypertension, Weill Cornell Medical College, New York, New York, United States of America.
Fabien CampagneThe HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medical College, New York, New York, United States of America; Department of Physiology and Biophysics, The Weill Cornell Medical College, New York, New York, United States of America.ORCID http://orcid.org/0000-0001-6237-3564
Cornell University · USNewYork–Presbyterian Hospital · USInserm · FRAssistance Publique – Hôpitaux de Paris · FRNorthwestern University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Current strategies to improve graft outcome following kidney transplantation consider information at the human leukocyte antigen (HLA) loci. Cell surface antigens, in addition to HLA, may serve as the stimuli as well as the targets for the anti-allograft immune response and influence long-term graft outcomes. We therefore performed exome sequencing of DNA from kidney graft recipients and their living donors and estimated all possible cell surface antigens mismatches for a given donor/recipient pair by computing the number of amino acid mismatches in trans-membrane proteins. We designated this tally as the allogenomics mismatch score (AMS). We examined the association between the AMS and post-transplant estimated glomerular filtration rate (eGFR) using mixed models, considering transplants from three independent cohorts (a total of 53 donor-recipient pairs, 106 exomes, and 239 eGFR measurements). We found that the AMS has a significant effect on eGFR (mixed model, effect size across the entire range of the score: -19.4 [-37.7, -1.1], P = 0.0042, χ2 = 8.1919, d.f. = 1) that is independent of the HLA-A, B, DR matching, donor age, and time post-transplantation. The AMS effect is consistent across the three independent cohorts studied and similar to the strong effect size of donor age. Taken together, these results show that the AMS, a novel tool to quantify amino acid mismatches in trans-membrane proteins in individual donor/recipient pair, is a strong, robust predictor of long-term graft function in kidney transplant recipients.

Identifiers

PMID27684477
PMCPMC5042552
OpenAlexW2950069234

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Registered trials

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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.