Evidence map›Paper›PMID 36815102›Full record

ArticleKidney international reports2023

Longitudinal Epigenome-Wide Analysis of Kidney Transplant Recipients Pretransplant and Posttransplant.

Laura J Smyth, Katie R Kerr, Jill Kilner, Áine E McGill, Alexander P Maxwell, Amy Jayne McKnight

Open access · goldAbstract read
In one paragraph

Article in Kidney international reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.9field-weighted citation impact, top 28% 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

9 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Integrated multiomic analyses: An approach to improve understanding of diabetic kidney disease.Diabetic medicine : a journal of the British Diabetic Association · 2025
    Review
  6. New approaches to acute kidney injury.Clinical kidney journal · 2024
    Article
  7. Review
  8. Review
  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

6 authors at 1 institution in 1 country.

Laura J SmythCentre for Public Health, Queen's University Belfast, Belfast, Northern Ireland, UK.
Katie R KerrCentre for Public Health, Queen's University Belfast, Belfast, Northern Ireland, UK.
Jill KilnerCentre for Public Health, Queen's University Belfast, Belfast, Northern Ireland, UK.
Áine E McGillCentre for Public Health, Queen's University Belfast, Belfast, Northern Ireland, UK.
Alexander P MaxwellCentre for Public Health, Queen's University Belfast, Belfast, Northern Ireland, UK.
Amy Jayne McKnightCentre for Public Health, Queen's University Belfast, Belfast, Northern Ireland, UK.
Queen's University Belfast · GB

Funding

A functional genomics pipeline for genetic discovery in diabetic kidney diseaseR01DK132299 · NIDDK · BROAD INSTITUTE, INC. · PI JOSE CARLOS FLOREZ, JOEL N HIRSCHHORN · 2022 to 2026
$3.2M
Social Circumstances and Epigenomics Promoting Health in Three CountriesR01AG068937 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI CRIMMINS, EILEEN M, FAUL, JESSICA · 2020 to 2025
$2.9M
Medical Research Council MC_PC_15025Medical Research Council MC_PC_20026NIA NIH HHS R01 AG068937NIDDK NIH HHS R01 DK132299
6 · The paper itself

Abstract

Introduction: Kidney transplantation remains the gold standard of treatment for end-stage renal disease (ESRD), with improved patient outcomes compared with dialysis. Epigenome-Wide Association Analysis (EWAS) of DNA methylation may identify markers that contribute to an individual's risk of adverse transplant outcomes, yet only a limited number of EWAS have been conducted in kidney transplant recipients. This EWAS aimed to interrogate the methylation profile of a kidney transplant recipient cohort with minimal posttransplant complications, exploring differences in samples pretransplant and posttransplant. Methods: We compared differentially methylated cytosine-phosphate-guanine sites (dmCpGs) in samples derived from peripheral blood mononuclear cells of the same kidney transplant recipients, collected both pretransplant and posttransplant ( Results: Five top-ranked dmCpGs were significantly different at false discovery rate (FDR) adjusted Conclusion: Five dmCpGs were identified at the generally accepted EWAS critical significance level of FDR adjusted

Indexed as

chronic kidney diseaseDNA methylationepigeneticsepigenome-wide association studykidney transplant

Identifiers

PMID36815102
PMCPMC9939425
OpenAlexW4309024704

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.