Evidence map›Paper›PMID 36737541›Full record

ArticleEuropean journal of human genetics : EJHG2023

KiT-GENIE, the French genetic biobank of kidney transplantation.

Rokhaya Ba, Axelle Durand, Vincent Mauduit, Christine Chauveau, Stéphanie Le Bas-Bernardet, Sonia Salle, Pierrick Guérif, Martin Morin, Clémence Petit, Venceslas Douillard and 7 more

Open access · greenAbstract read
In one paragraph

Article in European journal of human genetics : EJHG, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.0field-weighted citation impact, top 29% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. 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

17 authors at 2 institutions in 1 country.

Rokhaya BaNantes Université, Centrale Nantes, CHU Nantes, Inserm, Centre de Recherche Translationnelle en Transplantation et Immunologie, UMR 1064, F-44000, Nantes, France.
Axelle DurandNantes Université, Centrale Nantes, CHU Nantes, Inserm, Centre de Recherche Translationnelle en Transplantation et Immunologie, UMR 1064, F-44000, Nantes, France.ORCID 0000-0002-4291-2281
Vincent MauduitNantes Université, Centrale Nantes, CHU Nantes, Inserm, Centre de Recherche Translationnelle en Transplantation et Immunologie, UMR 1064, F-44000, Nantes, France.ORCID 0000-0001-7352-8162
Christine ChauveauNantes Université, Centrale Nantes, CHU Nantes, Inserm, Centre de Recherche Translationnelle en Transplantation et Immunologie, UMR 1064, F-44000, Nantes, France.
Stéphanie Le Bas-BernardetNantes Université, Centrale Nantes, CHU Nantes, Inserm, Centre de Recherche Translationnelle en Transplantation et Immunologie, UMR 1064, F-44000, Nantes, France.
Sonia SalleNantes Université, Centrale Nantes, CHU Nantes, Inserm, Centre de Recherche Translationnelle en Transplantation et Immunologie, UMR 1064, F-44000, Nantes, France.
Pierrick GuérifCHU Nantes, Nantes Université, Service de Néphrologie-Immunologie Clinique, ITUN, F-44000, Nantes, France.
Martin MorinNantes Université, Centrale Nantes, CHU Nantes, Inserm, Centre de Recherche Translationnelle en Transplantation et Immunologie, UMR 1064, F-44000, Nantes, France.
Clémence PetitNantes Université, Centrale Nantes, CHU Nantes, Inserm, Centre de Recherche Translationnelle en Transplantation et Immunologie, UMR 1064, F-44000, Nantes, France.
Venceslas DouillardNantes Université, Centrale Nantes, CHU Nantes, Inserm, Centre de Recherche Translationnelle en Transplantation et Immunologie, UMR 1064, F-44000, Nantes, France.ORCID 0000-0002-6762-4083
Olivia RousseauNantes Université, Centrale Nantes, CHU Nantes, Inserm, Centre de Recherche Translationnelle en Transplantation et Immunologie, UMR 1064, F-44000, Nantes, France.ORCID 0000-0002-5726-9620
Gilles BlanchoNantes Université, Centrale Nantes, CHU Nantes, Inserm, Centre de Recherche Translationnelle en Transplantation et Immunologie, UMR 1064, F-44000, Nantes, France.
Clarisse KerleauCHU Nantes, Nantes Université, Service de Néphrologie-Immunologie Clinique, ITUN, F-44000, Nantes, France.ORCID 0000-0002-1487-5743
Nicolas VinceNantes Université, Centrale Nantes, CHU Nantes, Inserm, Centre de Recherche Translationnelle en Transplantation et Immunologie, UMR 1064, F-44000, Nantes, France.ORCID 0000-0002-3767-6210
Magali GiralNantes Université, Centrale Nantes, CHU Nantes, Inserm, Centre de Recherche Translationnelle en Transplantation et Immunologie, UMR 1064, F-44000, Nantes, France.
Pierre-Antoine GourraudNantes Université, Centrale Nantes, CHU Nantes, Inserm, Centre de Recherche Translationnelle en Transplantation et Immunologie, UMR 1064, F-44000, Nantes, France.
Sophie LimouNantes Université, Centrale Nantes, CHU Nantes, Inserm, Centre de Recherche Translationnelle en Transplantation et Immunologie, UMR 1064, F-44000, Nantes, France. sophie.limou@univ-nantes.fr.ORCID 0000-0002-7702-8234
École Centrale de Nantes · FRNantes Université · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

KiT-GENIE is a monocentric DNA biobank set up to consolidate the very rich and homogeneous DIVAT French cohort of kidney donors and recipients (D/R) in order to explore the molecular factors involved in kidney transplantation outcomes. We collected DNA samples for kidney transplantations performed in Nantes, and we leveraged GWAS genotyping data for securing high-quality genetic data with deep SNP and HLA annotations through imputations and for inferring D/R genetic ancestry. Overall, the biobank included 4217 individuals (n = 1945 D + 2,272 R, including 1969 D/R pairs), 7.4 M SNPs and over 200 clinical variables. KiT-GENIE represents an accurate snapshot of kidney transplantation clinical practice in Nantes between 2002 and 2018, with an enrichment in living kidney donors (17%) and recipients with focal segmental glomerulosclerosis (4%). Recipients were predominantly male (63%), of European ancestry (93%), with a mean age of 51yo and 86% experienced their first graft over the study period. D/R pairs were 93% from European ancestry, and 95% pairs exhibited at least one HLA allelic mismatch. The mean follow-up time was 6.7 years with a hindsight up to 25 years. Recipients experienced biopsy-proven rejection and graft loss for 16.6% and 21.3%, respectively. KiT-GENIE constitutes one of the largest kidney transplantation genetic cohorts worldwide to date. It includes homogeneous high-quality clinical and genetic data for donors and recipients, hence offering a unique opportunity to investigate immunogenetic and genetic factors, as well as donor-recipient interactions and mismatches involved in rejection, graft survival, primary disease recurrence and other comorbidities.

Indexed as

Kidney TransplantationBiological Specimen BanksDNAFemaleGraft SurvivalHumansLiving DonorsMaleMiddle AgedDNA

Identifiers

PMID36737541
PMCPMC10620190
OpenAlexW4319081271

What Socratic holds

Textmetadata
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.