Prenatal DiagnosisGeneticsPeer-reviewed journal article
Prenatal diagnosis of HNF1B-associated renal cysts: Need to differentiate intragenic variants from 17q12 microdeletion syndrome?
Georgia VasileiouiD, Juliane HoyeriD, Christian Thomas ThieliD, Jan Frederik SchaeferiD, Maren Zapke, Mandy Krumbiegel, Cornelia S. KrausiD, Markus ZweieriD, Steffen UebeiD, Arif Bülent EkiciiD, Michael Oliver SchneideriD, Michael Sean WieseneriD, Anita M. RauchiD, Florian Faschingbauer, André ReisiD, Christiane ZweieriD, Bernt PoppiD
Abstract
ObjectiveLarge deletions of chromosome 17q12 (17q12DS) or intragenic variants in HNF1B are associated with variable developmental, endocrine and renal anomalies, often already noted prenatally as hyperechogenic/cystic kidneys. Here, we describe pre- and postnatal phenotypes of seven individuals with HNF1B aberrations and compare their clinical and genetic data to previous studies.\n\nMethodsPrenatal sequencing and postnatal chromosomal microarray analysis was performed in seven individuals with renal and/or neurodevelopmental phenotypes. We evaluated HNF1B-related clinical features from 82 studies and reclassified 192 reported intragenic HNF1B variants.\n\nResultsIn a prenatal case, we identified a novel in-frame deletion p.(Gly239del) within the HNF1B DNA binding domain, a mutational hotspot as demonstrated by spatial clustering analysis and high computational prediction scores. The six postnatally diagnosed individuals harbored 17q12 microdeletions of varying size. Literature screening revealed highly variable reporting of HNF1B-associated clinical traits. Overall, developmental delay was more frequent in 17q12DS carriers, although both mutation groups showed a high phenotypic heterogeneity. The reclassification of all previously reported intragenic HNF1B variants provided an up-to-date overview of the mutational spectrum.\n\nConclusionsWe highlight the value of prenatal HNF1B screening in renal developmental diseases. Standardized clinical reporting and systematic classification of HNF1B variants is necessary for a more accurate risk quantification of pre- and postnatal clinical features, improving genetic counseling and prenatal decision-making.
- organism: human
- assay: whole-exome sequencing
- research focus: variant effect prediction
- research focus: database / resource
- approach: statistical model
- approach: benchmark study
- Citations
- 29
- FWCI
- 2.85
- Field percentile
- top 10%
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