A Copernican revolution of multigenic analysis: A retrospective study on clinical exome sequencing in unclear genetic

M Chetta1, M Tarsitano1, M Rivieccio1

  • 1A.O.R.N. A. Cardarelli Hospital's Laboratory of Medical Genetics and Genomics, Naples, Italy.

Insights

This study highlights how analyzing the full clinical exome, not just single genes, improves rare genetic disease diagnosis. This approach maximizes Next-Generation Sequencing data utility for better patient management.

Area of Science:

  • Genetics
  • Medical Genomics
  • Rare Diseases

Background:

  • Mendelian diseases, caused by single gene variants, have historically shaped medical understanding.
  • The monogenic approach underutilizes comprehensive Next-Generation Sequencing (NGS) data.
  • A shift towards multigenic analysis is crucial for understanding complex disease etiology.

Purpose of the Study:

  • To evaluate the diagnostic utility of clinical exome analysis in patients with specific rare genetic disorders.
  • To demonstrate a novel pipeline for analyzing genetic variants, including variants of uncertain significance (VUS).
  • To emphasize the importance of a comprehensive genetic analysis approach for rare disease diagnosis.

Main Methods:

  • Retrospective analysis of clinical exome data from 32 probands.
  • Gene enrichment analysis using SOPHiA-DDM-v4 software on *.VCF files.
  • Filtering for pathogenic/likely pathogenic variants and VUS with autosomal dominant inheritance, compound heterozygotes, and MAF < 0.05%.

Main Results:

  • The study assessed patients with autoinflammation, hemolytic uremic syndrome, and Waldenström macroglobulinemia.
  • A gene enrichment strategy was employed to identify relevant genetic variants.
  • The pipeline focused on analyzing a broader set of patient gene assets.

Conclusions:

  • Analyzing the complete clinical exome enhances the diagnostic yield for rare genetic disorders.
  • This approach offers new insights into the genetic basis of complex diseases.
  • Integrating this comprehensive analysis into clinical practice can improve patient care for rare genetic conditions.

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