Detecting inversions in routine molecular diagnosis in MMR genes.

Inversions, i.e. a change in orientation of a segment of DNA, are a recognized cause of human diseases which remain overlooked due to their balanced nature. Inversions can have severe or more subtle impacts on gene expression. We describe two families that exemplify these aspects and underline the need for inversion detection in routine diagnosis. The first family (F1) displayed a sibship with two constitutional mismatch repair deficiency patients and a family history of colon cancer in the paternal branch. The second family (F2) displayed a severe history of Lynch syndrome. These families were analyzed using a whole gene panel (WGP) strategy i.e. including colon cancer genes with their intronic and flanking genomic regions. In F1, a PMS2 inversion encompassing the promoter region to intron 1 and a PMS2 splice variant were found in the maternal and paternal branch, respectively. In F2, we described the first MSH6 inversion, involving the 5' part of MSH6 and the 3' part of the nearby gene ANXA4. Inversion detection mandates genomic sequencing, but makes a valuable contribution to the diagnostic rate. WGP is an attractive strategy as it maximizes the detection power on validated genes and keeps sufficient depth to detect de novo events.

Optimization of the diagnosis of inherited colorectal cancer using NGS and capture of exonic and intronic sequences of panel genes.

We have developed and validated for the diagnosis of inherited colorectal cancer (CRC) a massive parallel sequencing strategy based on: (i) fast capture of exonic and intronic sequences from ten genes involved in Mendelian forms of CRC (MLH1, MSH2, MSH6, PMS2, APC, MUTYH, STK11, SMAD4, BMPR1A and PTEN); (ii) sequencing on MiSeq and NextSeq 500 Illumina platforms; (iii) a bioinformatic pipeline that includes BWA-Picard-GATK (Broad Institute) and CASAVA (Illumina) in parallel for mapping and variant calling, Alamut Batch (Interactive BioSoftware) for annotation, CANOES for CNV detection and finally, chimeric reads analysis for the detection of other types of structural variants (SVs). Analysis of 1644 new index cases allowed the identification of 323 patients with class 4 or 5 variants, corresponding to a 20% disease-causing variant detection rate. This rate reached 37% in patients with Lynch syndrome, suspected on the basis of tumour analyses. Thanks to this strategy, we detected overlapping phenotypes (e.g., MUTYH biallelic mutations mimicking Lynch syndrome), mosaic alterations and complex SVs such as a genomic deletion involving the last BMPR1A exons and PTEN, an Alu insertion within MSH2 exon 8 and a mosaic deletion of STK11 exons 3-10. This strategy allows, in a single step, detection of all types of CRC gene alterations including SVs and provides a high disease-causing variant detection rate, thus optimizing the diagnosis of inherited CRC.