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Accès ouvert déclaré 2022 review

Genetic loci and prioritization of genes for kidney function decline derived from a meta-analysis of 62 longitudinal genome-wide association studies

58Citations signalées, ce qui n’est pas une note de qualité
141Institutions déclarées
18Pays d’affiliation déclarés

Rattachement africain : de, no, gb, pl, us, is, sg, dk, se, nl, it, au, at, ir, ca, jp, fi, nz. Niveau de preuve : code pays fourni par la source.

Le résumé fourni par la source

Estimated glomerular filtration rate (eGFR) reflects kidney function. Progressive eGFR-decline can lead to kidney failure, necessitating dialysis or transplantation. Hundreds of loci from genome-wide association studies (GWAS) for eGFR help explain population cross section variability. Since the contribution of these or other loci to eGFR-decline remains largely unknown, we derived GWAS for annual eGFR-decline and meta-analyzed 62 longitudinal studies with eGFR assessed twice over time in all 343,339 individuals and in high-risk groups. We also explored different covariate adjustment. Twelve genome-wide significant independent variants for eGFR-decline unadjusted or adjusted for eGFR-baseline (11 novel, one known for this phenotype), including nine variants robustly associated across models were identified. All loci for eGFR-decline were known for cross-sectional eGFR and thus distinguished a subgroup of eGFR loci. Seven of the nine variants showed variant-by-age interaction on eGFR cross section (further about 350,000 individuals), which linked genetic associations for eGFR-decline with age-dependency of genetic cross-section associations. Clinically important were two to four-fold greater genetic effects on eGFR-decline in high-risk subgroups. Five variants associated also with chronic kidney disease progression mapped to genes with functional in-silico evidence (UMOD, SPATA7, GALNTL5, TPPP). An unfavorable versus favorable nine-variant genetic profile showed increased risk odds ratios of 1.35 for kidney failure (95% confidence intervals 1.03-1.77) and 1.27 for acute kidney injury (95% confidence intervals 1.08-1.50) in over 2000 cases each, with matched controls). Thus, we provide a large data resource, genetic loci, and prioritized genes for kidney function decline, which help inform drug development pipelines revealing important insights into the age-dependency of kidney function genetics.

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Le contrôle bibliographique ouvert

DOI retrouvé dans Crossref DOI retrouvé ; titre concordant.

Titre Crossref
Genetic loci and prioritization of genes for kidney function decline derived from a meta-analysis of 62 longitudinal genome-wide association studies
Date Crossref
01/09/2022
Éditeur
Elsevier BV
Type
journal-article

Ce recoupement confirme des métadonnées liées au DOI. Il ne confirme ni la méthode ni les conclusions de l’étude, et il ne compte pas comme une seconde source scientifique indépendante.

Les institutions déclarées

University Hospital RegensburgUniversity of RegensburgNorwegian University of Science and TechnologyUniversity of BristolMedical University of BiałystokUniversitätsmedizin GreifswaldGerman Centre for Cardiovascular ResearchUniversity of MichigandeCODE Genetics (Iceland)Statistisches BundesamtLudwig-Maximilians-Universität MünchenNational University of SingaporeNational University Health SystemLoyola University ChicagoUniversity of FreiburgUniversity Medical Center FreiburgUniversity of Mississippi Medical CenterUniversity of CopenhagenSteno Diabetes CentersDalarna UniversityKarolinska InstitutetStockholm Health Care ServicesSt Olav's University HospitalUniversity Medical Center GroningenUniversity of GroningenUniversity of WashingtonNational Research CouncilThe University of Texas Health Science Center at HoustonHasso Plattner InstituteUniversity of PotsdamIcahn School of Medicine at Mount SinaiGerman Cancer Research CenterHeidelberg UniversityVanderbilt University Medical CenterErasmus MCErasmus University RotterdamUNSW SydneyThe George Institute for Global HealthSingapore National Eye CenterSingapore Eye Research InstituteDuke-NUS Medical SchoolMerck & Co., Inc., Rahway, NJ, USA (United States)Istituto Neurologico MediterraneoInstitute of Genetics and BiophysicsIRCCS Materno Infantile Burlo GarofoloUniversity of LiverpoolJohns Hopkins UniversityInstitute of Biomedical TechnologiesBio4Dreams (Italy)Christian-Albrechts-Universität zu KielFriedrich-Alexander-Universität Erlangen-NürnbergCharité - Universitätsmedizin BerlinUniversität GreifswaldNational Institutes of HealthInstitute on AgingNational Institute on AgingWashington University in St. LouisUniversity Hospital Schleswig-HolsteinUniversity of LübeckEurac ResearchInstitute for BiomedicineMedical University of GrazMashhad University of Medical SciencesUppsala UniversityHelmholtz MunichDeutsches Diabetes-Zentrum e.V.German Center for Diabetes ResearchHeinrich Heine University DüsseldorfUniversity of IcelandMedpharmgene (Canada)Université de MontréalNagoya UniversityGeisinger Medical CenterGeisinger Neuroscience InstituteGeisinger Health SystemLeipzig UniversityTampere UniversityTampere University HospitalTampere UniversityNational Heart, Lung, and Blood InstituteFramingham Heart StudyKreisklinik TrostbergAgency for Science, Technology and ResearchGenome Institute of SingaporeUniversität UlmZimmer Biomet (Germany)Deutsches Herzzentrum MünchenTechnical University of MunichUniversity Hospital HeidelbergUniversity Medical Centre MannheimUniversity of Eastern FinlandKuopio University HospitalUniversity of Colorado AnschutzUniversity of Colorado DenverTampere University of Applied SciencesFimlab (Finland)University of UtahBroad InstituteCentre for Human GeneticsJohn Radcliffe HospitalUniversity of OxfordChild Health and Development InstituteGlaxoSmithKline (United States)Oxford Centre for Diabetes, Endocrinology and MetabolismUniversity of AugsburgUniversity Hospital AugsburgLund UniversityAmsterdam NeuroscienceGGZ inGeestAmsterdam University Medical CentersUniversity of ManchesterArthritis UKUniversity of VirginiaHiroshima UniversityData Tecnica International (United States)Boston UniversityBrigham and Women's HospitalThrombolysis in Myocardial Infarction Study GroupUniversity of Maryland, BaltimoreReykjavík UniversityNational University Hospital of IcelandNational Institute of Diabetes and Digestive and Kidney DiseasesInstitute of Genetic and Biomedical ResearchUniversity of North Carolina at Chapel HillUniversity of TurkuTurku University HospitalUniversity of MilanUCLA Medical CenterHarbor–UCLA Medical CenterFondazione IRCCS Istituto Neurologico Carlo BestaNorthwestern UniversityJohannes Gutenberg University MainzUniversity Medical Center of the Johannes Gutenberg University MainzNetherlands Heart InstituteUppsala University HospitalUniversity of AucklandAuckland City HospitalMichigan MedicineThe George Institute for Global HealthInnsbruck Medical UniversityUniversität Innsbruck

Une affiliation ne permet pas de déduire la nationalité d’un auteur.

Les sujets associés

Birth, Development, and HealthGenetic Associations and EpidemiologyChronic Kidney Disease and Diabetes

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