Genetic and environmental factors driving congenital solitary functioning kidney
Author:
Groen in ‘t Woud Sander12ORCID, van Gelder Marleen M H J1ORCID, van Rooij Iris A L M1, Feitz Wout F J3, Roeleveld Nel1, Schreuder Michiel F2ORCID, van der Zanden Loes F M1, van Wijk J A E, Westland R, Renkema K Y, Lilien M R, Keijzer-Veen M G, Kloosterman F J, Steffens M G, Gracchi V, Zegers B, Jira P E, van der Deure H, van Rooij R W G, Wijnands-van den Berg E, Breukels M, de Pont S M H B, Harnisch E, van Dael C M L, Creemers D, de Moor R, Konijnenberg A Y, Knots E, van der Kuur E C, Jacobs M J, Koppejan-Stapel M, Pijning A, Dorresteijn E, Leunissen R W J, Rijlaarsdam R, del Canho R, Semmekrot B, Dings-Lammertink A, Nijhuis I J M, van Ledden-Klok M J, van den Broek L M, Jansen C Meine, Beeren M C G, Blokland-Loggers H E, Dorrepaal C, Pierik L J W M, Tanja A L,
Affiliation:
1. Radboud University Medical Center, Department for Health Evidence , Nijmegen , The Netherlands 2. Radboudumc Amalia Children's Hospital, Department of Paediatric Nephrology , Nijmegen , The Netherlands 3. Radboudumc Amalia Children's Hospital, Division of Pediatric Urology, Department of Urology , Nijmegen , The Netherlands
Abstract
ABSTRACT
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.
Funder
Radboud Institute for Health Sciences Dutch Kidney Foundation Dutch Research Council
Publisher
Oxford University Press (OUP)
Subject
Transplantation,Nephrology
|
|