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Genetic and environmental factors driving congenital solitary functioning kidney.
Groen In 't Woud, Sander; van Gelder, Marleen M H J; van Rooij, Iris A L M; Feitz, Wout F J; Roeleveld, Nel; Schreuder, Michiel F; van der Zanden, Loes F M.
Afiliação
  • Groen In 't Woud S; Radboud University Medical Center, Department for Health Evidence, Nijmegen, The Netherlands.
  • van Gelder MMHJ; Radboudumc Amalia Children's Hospital, Department of Paediatric Nephrology, Nijmegen, The Netherlands.
  • van Rooij IALM; Radboud University Medical Center, Department for Health Evidence, Nijmegen, The Netherlands.
  • Feitz WFJ; Radboud University Medical Center, Department for Health Evidence, Nijmegen, The Netherlands.
  • Roeleveld N; Radboudumc Amalia Children's Hospital, Division of Pediatric Urology, Department of Urology, Nijmegen, The Netherlands.
  • Schreuder MF; Radboud University Medical Center, Department for Health Evidence, Nijmegen, The Netherlands.
  • van der Zanden LFM; Radboudumc Amalia Children's Hospital, Department of Paediatric Nephrology, Nijmegen, The Netherlands.
Nephrol Dial Transplant ; 39(3): 463-472, 2024 Feb 28.
Article em En | MEDLINE | ID: mdl-37738450
BACKGROUND: Congenital solitary functioning kidney (CSFK) is an anomaly predisposing to hypertension, albuminuria and chronic kidney disease. Its aetiology is complex and includes genetic and environmental factors. The role of gene-environment interactions (G×E), although relevant for other congenital anomalies, has not yet been investigated. Therefore, we performed a genome-wide G×E analysis with six preselected environmental factors to explore the role of these interactions in the aetiology of CSFK. METHODS: In the AGORA (Aetiologic research into Genetic and Occupational/environmental Risk factors for Anomalies in children) data- and biobank, genome-wide single-nucleotide variant (SNV) data and questionnaire data on prenatal exposure to environmental risk factors were available for 381 CSFK patients and 598 healthy controls. Using a two-step strategy, we first selected independent significant SNVs associated with one of the six environmental risk factors. These SNVs were subsequently tested in G×E analyses using logistic regression models, with Bonferroni-corrected P-value thresholds based on the number of SNVs selected in step one. RESULTS: In step one, 7-40 SNVs were selected per environmental factor, of which only rs3098698 reached statistical significance (P = .0016, Bonferroni-corrected threshold 0.0045) for interaction in step two. The interaction between maternal overweight and this SNV, which results in lower expression of the Arylsulfatase B (ARSB) gene, could be explained by lower insulin receptor activity in children heterozygous for rs3098698. Eight other G×E interactions had a P-value <.05, of which two were biologically plausible and warrant further study. CONCLUSIONS: Interactions between genetic and environmental factors may contribute to the aetiology of CSFK. To better determine their role, large studies combining data on genetic and environmental risk factors are warranted.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Insuficiência Renal Crônica / Rim Único / Hipertensão Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Child / Female / Humans / Pregnancy Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Insuficiência Renal Crônica / Rim Único / Hipertensão Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Child / Female / Humans / Pregnancy Idioma: En Ano de publicação: 2024 Tipo de documento: Article