Novel ADGRG2 truncating variants in patients with X-linked congenital absence of vas deferens.

BACKGROUND: Congenital absence of vas deferens (CAVD) represents a major cause of obstructive azoospermia and is mainly related to biallelic alteration of the CFTR gene, also involved in cystic fibrosis. Using whole exome sequencing, we recently identified hemizygous loss-of-function mutations in the Adhesion G Protein-coupled Receptor G2 gene (ADGRG2) as responsible of isolated CAVD in the absence of associated unilateral renal agenesis. OBJECTIVES: The objective of this study was to retrospectively perform ADGRG2 sequencing on a large cohort of patients with CAVD, and 0 or only 1 CFTR defective allele identified after comprehensive testing in order to (a) define more precisely the spectrum and the frequency of ADGRG2 mutations within Caucasian population (b) explore the possibility of co-occurrence of CFTR and ADGRG2 mutations. MATERIALS AND METHODS: We collected 53 DNA samples from CAVD patients with 0 (n = 23) or 1 (n = 30) alteration identified after comprehensive CFTR testing in order to perform ADGRG2 sequencing. Twenty patients had normal ultrasonographic renal examination, and renal status was not documented for 33 patients. RESULTS: We identified six new truncating ADGRG2 mutations in 8 patients including two twin brothers: c.251C > G (p.Ser84*), c.1013delC (p.Pro338Hisfs*4), c.1460delG (p.Gly487Alafs*9), c.2096dupT (p.Phe700Ilefs*29), c.2473C > T (p.Arg825*), and c.1731_1839 + 373del (p.Asn578Thrfs*12), which is a 596 base pair deletion affecting the last five bases of exon 21 and the whole exon 22. Five of the eight patients also harbored an heterozygous CFTR mutation which we consider as incidental regarding the high penetrance expected for ADGRG2 truncating variants. The frequency of ADGRG2 truncating mutation was 26% (5/19 unrelated patients) when presence of both kidneys was attested by ultrasonography and 6.1% (2/33) among patients with unknown renal status. DISCUSSION & CONCLUSION: Our results confirm the interest of ADGRG2 sequencing in patients with CAVD not formerly related to CFTR dysfunction, especially in the absence of associated unilateral renal agenesis.

Applicability and Efficiency of NGS in Routine Diagnosis: In-Depth Performance Analysis of a Complete Workflow for CFTR Mutation Analysis.

BACKGROUND: Actually, about 2000 sequence variations have been documented in the CFTR gene requiring extensive and multi-step genetic testing in the diagnosis of cystic fibrosis and CFTR-related disorders. We present a two phases study, with validation and performance monitoring, of a single experiment methodology based on multiplex PCR and high throughput sequencing that allows detection of all variants, including large rearrangements, affecting the coding regions plus three deep intronic loci. METHODS: A total of 340 samples, including 257 patients and 83 previously characterized control samples, were sequenced in 17 MiSeq runs and analyzed with two bioinformatic pipelines in routine diagnostic conditions. We obtained 100% coverage for all the target regions in every tested sample. RESULTS: We correctly identified all the 87 known variants in the control samples and successfully confirmed the 62 variants identified among the patients without observing false positive results. Large rearrangements were identified in 18/18 control samples. Only 17 patient samples showed false positive signals (6.6%), 12 of which showed a borderline result for a single amplicon. We also demonstrated the ability of the assay to detect allele specific dropout of amplicons when a sequence variation occurs at a primer binding site thus limiting the risk for false negative results. CONCLUSIONS: We described here the first NGS workflow for CFTR routine analysis that demonstrated equivalent diagnostic performances compared to Sanger sequencing and multiplex ligation-dependent probe amplification. This study illustrates the advantages of NGS in term of scalability, workload reduction and cost-effectiveness in combination with an improvement of the overall data quality due to the simultaneous detection of SNVs and large rearrangements.