Genetic and environmental factors driving congenital solitary functioning kidney

被引:1
|
作者
Groen In 't Woud, Sander [1 ,2 ]
van Gelder, Marleen M. H. J. [1 ]
van Rooij, Iris A. L. M. [1 ]
Feitz, Wout F. J. [2 ,3 ]
Roeleveld, Nel [1 ]
Schreuder, Michiel F. [2 ]
van der Zanden, Loes F. M. [1 ]
机构
[1] Radboud Univ Nijmegen, Med Ctr, Dept Hlth Evidence, Nijmegen, Netherlands
[2] Radboudumc Amalia Childrens Hosp, Dept Paediat Nephrol, Nijmegen, Netherlands
[3] Radboudumc Amalia Childrens Hosp, Dept Urol, Div Pediat Urol, Nijmegen, Netherlands
基金
荷兰研究理事会;
关键词
aetiology; CAKUT; congenital anomaly; gene-environment interaction; solitary functioning kidney; ASSOCIATION; ETIOLOGY; DEFECTS; SMOKING; SAMPLE; RISK;
D O I
10.1093/ndt/gfad202
中图分类号
R3 [基础医学]; R4 [临床医学];
学科分类号
1001 ; 1002 ; 100602 ;
摘要
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 (GxE), although relevant for other congenital anomalies, has not yet been investigated. Therefore, we performed a genome-wide GxE 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 GxE 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 GxE 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.
引用
收藏
页码:463 / 472
页数:10
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