Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2020 May 7:11:464.
doi: 10.3389/fgene.2020.00464. eCollection 2020.

Gene Panel Analysis in a Large Cohort of Patients With Autosomal Dominant Polycystic Kidney Disease Allows the Identification of 80 Potentially Causative Novel Variants and the Characterization of a Complex Genetic Architecture in a Subset of Families

Affiliations

Gene Panel Analysis in a Large Cohort of Patients With Autosomal Dominant Polycystic Kidney Disease Allows the Identification of 80 Potentially Causative Novel Variants and the Characterization of a Complex Genetic Architecture in a Subset of Families

Vilma Mantovani et al. Front Genet. .

Abstract

Introduction: Autosomal dominant polycystic kidney disease (ADPKD) is one of the most common inherited disorders in humans and the majority of patients carry a variant in either PKD1 or PKD2. Genetic testing is increasingly required for diagnosis, prognosis, and treatment decision, but it is challenging due to segmental duplications of PKD1, genetic and allelic heterogeneity, and the presence of many variants hypomorphic or of uncertain significance. We propose an NGS-based testing strategy for molecular analysis of ADPKD and its phenocopies, validated in a diagnostic setting. Materials and Methods: Our protocol is based on high-throughput simultaneous sequencing of PKD1 and PKD2 after long range PCR of coding regions, followed by a masked reference genome alignment, and MLPA analysis. A further screening of additional 14 cystogenes was performed in negative cases. We applied this strategy to analyze 212 patients with a clinical suspicion of ADPKD. Results and Discussion: We detected causative variants (interpreted as pathogenic/likely pathogenic) in 61.3% of our index patients, and variants of uncertain clinical significance in 12.5%. The majority (88%) of genetic variants was identified in PKD1, 12% in PKD2. Among 158 distinct variants, 80 (50.6%) were previously unreported, confirming broad allelic heterogeneity. Eleven patients showed more than one variant. Segregation analysis indicated biallelic disease in five patients, digenic in one, de novo variant with unknown phase in two. Furthermore, our NGS protocol allowed the identification of two patients with somatic mosaicism, which was undetectable with Sanger sequencing. Among patients without PKD1/PKD2 variants, we identified three with possible alternative diagnosis: a patient with biallelic mutations in PKHD1, confirming the overlap between recessive and dominant PKD, and two patients with variants in ALG8 and PRKCSH, respectively. Genotype-phenotype correlations showed that patients with PKD1 variants predicted to truncate (T) the protein experienced end-stage renal disease 9 years earlier than patients with PKD1 non-truncating (NT) mutations and >13 years earlier than patients with PKD2 mutations. ADPKD-PKD1 T cases showed a disease onset significantly earlier than ADPKD-PKD1 NT and ADPK-PKD2, as well as a significant earlier diagnosis. These data emphasize the need to combine clinical information with genetic data to achieve useful prognostic predictions.

Keywords: ADPKD; NGS; PKD1; PKD2; cystogenes; polycystic kidney disease.

PubMed Disclaimer

Figures

Figure 1
Figure 1
Pedigree of Family 18287 with bilineal inheritance of PKD1/PKD2 variants. Variants segregating with disease are shown in bolt.
Figure 2
Figure 2
Two cases of mosaicism. (A) Family 16321, where the affected mother showed 6.9% of mutated PKD1 in peripheral blood. (B) Family 17747, where the proband showed 15.9% of mutated PKD1. The reads are visualized by Integrative Genome Viewer (IGV) software.
Figure 3
Figure 3
Kidney and liver images of two patients. (A) MRI of a 31-year-old woman with compound heterozygous mutations in PKHD1, who received a diagnosis of polycystic kidneys at 17. (B) MRI of a 45-year-old woman, who carried two heterozygous variants in PKHD1, p.(His3124Thr), and PMM2, p.(Gly42Arg).

References

    1. 1000 Genomes Project Consortium. Auton A., Brooks L. D., Durbin R. M., Garrison E. P., Kang H. M., et al. . (2015). A global reference for human genetic variation. Nature 526, 68–74. 10.1038/nature15393 - DOI - PMC - PubMed
    1. Audrézet M.-P., Corbiere C., Lebbah S., Morinière V., Broux F., Louillet F., et al. . (2016). Comprehensive PKD1 and PKD2 mutation analysis in prenatal autosomal dominant polycystic kidney disease. J. Am. Soc. Nephrol. 27, 722–729. 10.1681/asn.2014101051 - DOI - PMC - PubMed
    1. Audrézet M. P., Cornec-Le Gall E., Chen J. M., Redon S., Quéré I., Creff J., et al. . (2012). Autosomal dominant polycystic kidney disease: comprehensive mutation analysis of PKD1 and PKD2 in 700 unrelated patients. Hum. Mutat. 33, 1239–1250. 10.1002/humu.22103 - DOI - PubMed
    1. Barua M., Cil O., Paterson A. D., Wang K., He N., Dicks E., et al. . (2009). Family history of renal disease severity predicts the mutated gene in ADPKD. J. Am. Soc. Nephrol. 20, 1833–1838. 10.1681/asn.2009020162 - DOI - PMC - PubMed
    1. Bergmann C. (2017). Recent advances in the molecular diagnosis of polycystic kidney disease. Expert Rev. Mol. Diagn. 17, 1037–1054. 10.1080/14737159.2017.1386099 - DOI - PubMed