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A Custom Target Next-Generation Sequencing 70-Gene Panel and Replication Study to Identify Genetic Markers of Diabetic Kidney Disease.
Mota-Zamorano, Sonia; González, Luz María; Robles, Nicolás Roberto; Valdivielso, José Manuel; Cancho, Bárbara; López-Gómez, Juan; Gervasini, Guillermo.
Afiliação
  • Mota-Zamorano S; Department of Medical and Surgical Therapeutics, Institute of Molecular Pathology Biomarkers, Medical School, University of Extremadura, 06006 Badajoz, Spain.
  • González LM; Department of Medical and Surgical Therapeutics, Institute of Molecular Pathology Biomarkers, Medical School, University of Extremadura, 06006 Badajoz, Spain.
  • Robles NR; Department of Nephrology, Badajoz University Hospital, 06006 Badajoz, Spain.
  • Valdivielso JM; Vascular and Renal Translational Research Group, Unidad de Prevención y Tratamiento de Enfermedades Cardiovasculares (UDETMA), Instituto de Salud Carlos III, REDinREN, IRBLleida, 25198 Lleida, Spain.
  • Cancho B; Department of Nephrology, Badajoz University Hospital, 06006 Badajoz, Spain.
  • López-Gómez J; Service of Clinical Analyses, University Hospital, 06006 Badajoz, Spain.
  • Gervasini G; Department of Medical and Surgical Therapeutics, Institute of Molecular Pathology Biomarkers, Medical School, University of Extremadura, 06006 Badajoz, Spain.
Genes (Basel) ; 12(12)2021 12 15.
Article em En | MEDLINE | ID: mdl-34946941
ABSTRACT
Diabetic kidney disease (DKD) has been pointed out as a prominent cause of chronic and end-stage renal disease (ESRD). There is a genetic predisposition to DKD, although clinically relevant loci are yet to be identified. We utilized a custom target next-generation sequencing 70-gene panel to screen a discovery cohort of 150 controls, DKD and DKD-ESRD patients. Relevant SNPs for the susceptibility and clinical evolution of DKD were replicated in an independent validation cohort of 824 controls and patients. A network analysis aiming to assess the impact of variability along specific pathways was also conducted. Forty-eight SNPs displayed significantly different frequencies in the study groups. Of these, 28 with p-values lower than 0.01 were selected for replication. MYH9 rs710181 was inversely associated with the risk of DKD (OR = 0.52 (0.28-0.97), p = 0.033), whilst SOWAHB rs13140552 and CNDP1 rs4891564 were not carried by cases or controls, respectively (p = 0.044 and 0.023). In addition, the RGMA rs1969589 CC genotype was significantly correlated with lower albumin-to-creatinine ratios in the DKD patients (711.8 ± 113.0 vs. 1375.9 ± 474.1 mg/g for TC/TT; mean difference = 823.5 (84.46-1563.0); p = 0.030). No biological pathway stood out as more significantly affected by genetic variability. Our findings reveal new variants that could be useful as biomarkers of DKD onset and/or evolution.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Nefropatias Diabéticas / Sequenciamento de Nucleotídeos em Larga Escala / Transcriptoma Tipo de estudo: Diagnostic_studies / Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Aged / Female / Humans / Male País/Região como assunto: Europa Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Nefropatias Diabéticas / Sequenciamento de Nucleotídeos em Larga Escala / Transcriptoma Tipo de estudo: Diagnostic_studies / Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Aged / Female / Humans / Male País/Região como assunto: Europa Idioma: En Ano de publicação: 2021 Tipo de documento: Article