ArticleJournal of nephrology2014
Genetic determinants of renal transplant outcome: where do we stand?
Article in Journal of nephrology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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.
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.
Who cites it
9 citing papers in PubMed, 17 citations in OpenAlex.
- Elucidating the nexus between onco-immunology and kidney transplantation: An insight from precision medicine perspective.Heliyon · 2024Review
- Review
- Longitudinal Epigenome-Wide Analysis of Kidney Transplant Recipients Pretransplant and Posttransplant.Kidney international reports · 2023Article
- Genome-Wide Study Updates in the International Genetics and Translational Research in Transplantation Network (iGeneTRAiN).Frontiers in genetics · 2019Review
- Article
- Effect of UMOD genotype on long-term graft survival after kidney transplantation in patients treated with cyclosporine-based therapy.The pharmacogenomics journal · 2018Article
- Transplant genetics and genomics.Nature reviews. Genetics · 2017Review
- Exome Sequencing and Prediction of Long-Term Kidney Allograft Function.PLoS computational biology · 2016Article
- Use of pharmacogenomics in pediatric renal transplant recipients.Frontiers in genetics · 2015Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Kidney transplantation has become the preferred method of renal replacement. However, the rate of long term allograft survival has not changed over the last decade. Donor and recipient genetic interplay influences kidney transplant outcome but our knowledge of these complex interactions is limited. Until recently, investigations have been limited to small candidate gene studies, usually restricted to allograft recipients. Genome-wide association studies have been slow to emerge in transplantation but the first has recently been reported and will be reviewed here. Much larger studies involving donor and recipients pairs are ongoing. We are now entering the era of epigenetics and whole genome sequencing which will hopefully provide a more in-depth knowledge of the genetic influences on renal transplant outcome. This may lead to a more accurate assessment of post-transplant risk, potentially allowing for the development of risk predication models leading to a more personalized approach to kidney transplant care. In this article, we examine the current and emerging literature in the field and discuss the limitations of current studies and technologies.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.