| Literature DB >> 34356094 |
Agnieszka Stembalska1, Małgorzata Rydzanicz2, Agnieszka Pollak2, Grazyna Kostrzewa2, Piotr Stawinski2, Mateusz Biela3, Rafal Ploski2, Robert Smigiel3.
Abstract
Renal cystic diseases are characterized by genetic and phenotypic heterogeneity. Congenital renal cysts can be classified as developmental disorders and are commonly diagnosed prenatally using ultrasonography and magnetic resonance imaging. Progress in molecular diagnostics and availability of exome sequencing procedures allows diagnosis of single-gene disorders in the prenatal period. Two patients with a prenatal diagnosis of polycystic kidney disease are presented in this article. TMEM67 mutations were identified in both fetuses using a whole-exome sequencing (WES) study. In one of them, the phenotypic syndrome diagnosed prenatally was different from that diagnosed in the postnatal period.Entities:
Keywords: Joubert syndrome; Meckel–Gruber syndrome; TMEM67 gene; genetic and phenotypic diagnosis; prenatal and postnatal diagnosis
Mesh:
Substances:
Year: 2021 PMID: 34356094 PMCID: PMC8304314 DOI: 10.3390/genes12071078
Source DB: PubMed Journal: Genes (Basel) ISSN: 2073-4425 Impact factor: 4.096
Figure 1The child with Joubert syndrome.
Figure 2Results of family study. (A) Rresults of amplicon deep sequencing of case # 1. (B) Results of amplicon deep Integrative Genomic Viewer screenshot.
Characteristic of TMEM67 variants identified in examined patients.
| Patient. | #1 | #2. | ||
|---|---|---|---|---|
| Gene | ||||
| Variant (GRCh38/hg38) | chr8:093795970-T > C | chr8:093797200-C > T | chr8:093780615-G > A | chr8:093797345-C > T |
| Parental origin | paternal | maternal | maternal | paternal |
| SNP association number (Rsid) | rs201893408 | rs115195998 | no applicable | rs150332116 |
| Frequency a | 0.00009194 | 0.00001315 | 0.0 | 0.00003945 |
| ACMG pathogenicity prediction b | pathogenic | pathogenic | likely pathogenic | pathogenic |
| ClinVar c | Pathogenic/likely pathogenic | no data | no data | no data |
a Frequency according to gnomAD database v3.1 (https://gnomad.broadinstitute.org/) accessed on 15 November 2020. b Pathogenicity prediction according to ACMG classification [8] (source https://varsome.com). c Reported in ClinVar database (https://www.ncbi.nlm.nih.gov/clinvar).