Evidence map›Paper›PMID 37372431›Full record

ArticleGenes2023

Whole Exome Sequencing to Find Candidate Variants for the Prediction of Kidney Transplantation Efficacy.

Seyed Mohammad Kazem Aghamir, Hassan Roudgari, Hassan Heidari, Mohammad Salimi Asl, Yousef Jafari Abarghan, Venous Soleimani, Rahil Mashhadi, Fatemeh Khatami

Abstract read
In one paragraph

Article in Genes, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–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

3 citing papers in PubMed.

  1. Article
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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

8 authors.

Seyed Mohammad Kazem AghamirUrology Research Center, Tehran University of Medical Sciences, Tehran P94V+8MF, Iran.ORCID 0000-0003-1611-0362
Hassan RoudgariGenomic Research Centre (GRC), Shahid Beheshti University of Medical Sciences (SBMU), Tehran 1416634793, Iran.
Hassan HeidariUrology Research Center, Tehran University of Medical Sciences, Tehran P94V+8MF, Iran.
Mohammad Salimi AslUrology Research Center, Tehran University of Medical Sciences, Tehran P94V+8MF, Iran.
Yousef Jafari AbarghanDeparment of Molecular Genetics, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad 1696700, Iran.
Venous SoleimaniUrology Research Center, Tehran University of Medical Sciences, Tehran P94V+8MF, Iran.
Rahil MashhadiUrology Research Center, Tehran University of Medical Sciences, Tehran P94V+8MF, Iran.
Fatemeh KhatamiUrology Research Center, Tehran University of Medical Sciences, Tehran P94V+8MF, Iran.ORCID 0000-0002-6311-1336

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionKidney transplantation is the optimal treatment strategy for some end-stage renal disease (ESRD); however, graft survival and the success of the transplantation depend on several elements, including the genetics of recipients. In this study, we evaluated exon loci variants based on a high-resolution Next Generation Sequencing (NGS) method.

methodsWe evaluated whole-exome sequencing (WES) of transplanted kidney recipients in a prospective study. The study involved a total of 10 patients (5 without a history of rejection and 5 with). About five milliliters of blood were collected for DNA extraction, followed by whole-exome sequencing based on molecular inversion probes (MIPs).

resultsSequencing and variant filtering identified nine pathogenic variants in rejecting patients (low survival). Interestingly, in five patients with successful kidney transplantation, we found 86 SNPs in 63 genes 61 were variants of uncertain significance (VUS), 5 were likely pathogenic, and five were likely benign/benign. The only overlap between rejecting and non-rejecting patients was SNPs rs529922492 in rejecting and rs773542127 in non-rejecting patients' MUC4 gene.

conclusionsNine variants of rs779232502, rs3831942, rs564955632, rs529922492, rs762675930, rs569593251, rs192347509, rs548514380, and rs72648913 have roles in short graft survival.

Indexed as

Kidney TransplantationExome SequencingHigh-Throughput Nucleotide SequencingHumansKidneyProspective Studiesexonic/intronickidney transplantsingle nucleotide polymorphismswhole-exome sequencing

Identifiers

PMID37372431
PMCPMC10298443

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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.