Abstract

Background: Prenatal genetic diagnosis of rare disorders is undergoing in recent years a significant enhancement through the application of methods of massive parallel sequencing. Despite the quantity and quality of the data produced, just few analytical tools and software have been developed in order to identify structural and numerical chromosomal anomalies through NGS, mostly not compatible with bench top NGS platform and routine clinical diagnosis. Methods: We developed technical, bioinformatic, interpretive and validation pipelines for Next Generation Sequencing to identify SNPs, indels, aneuploidies, and CNVs (Copy Number Variations). Results: We show a new targeted resequencing approach applied to prenatal diagnosis. For sample processing we used an enrichment method for 4,813 genes library preparation; after sequencing our bioinformatic pipelines allowed both SNPs analysis for approximately thirty diseases or diseases family involved in fetus development and numerical chromosomal anomalies screening. Conclusions: Results obtained are compatible with those obtained through the gold standard technique, aCGH array, moreover allowing identification of genes involved in chromosome deletions or duplications and exclusion of point mutation on allele not affected by chromosome aberrations.

Highlights

  • Prenatal genetic diagnosis of rare disorders is undergoing in recent years a significant enhancement through the application of methods of massive parallel sequencing

  • We show a new targeted resequencing approach applied to prenatal diagnosis

  • Of the 248 samples analyzed using both analysis is comparative genomic hybridization microarray (aCGH) (CytoChip Focus Constitutional BAC-array platform) and Next Generation Sequencing (NGS) data through NextGENe Software (Softgenetics), we identified nine samples affected by aneuploidies and chromosomal micro deletions/micro duplications

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Summary

Introduction

Prenatal genetic diagnosis of rare disorders is undergoing in recent years a significant enhancement through the application of methods of massive parallel sequencing. In recent years Generation Sequencing (NGS) has become an important tool for gene discovery and research area and for clinical diagnosis. The advantage of using NGS for a combined analysis of point mutations (SNPs), indels, aneuploidies, and CNVs (Copy Number Variations) is to increase the analysis resolution and detection rate with one single test. In addition this approach could allows SNPs analysis on locus affected by microdeletion/microduplication on the other allele or on correlated loci, so providing any possible information regarding genomic region and clinical effects. Despite the quantity and quality of the data produced, just few analytical tools and software have been developed in order to identify structural and numerical chromosomal anomalies through NGS, mostly not compatible with bench top NGS platform and routine clinical diagnosis

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