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Achieving high-sensitivity for clinical applications using augmented exome sequencing.

Anil Patwardhan1, Jason Harris1, Nan Leng1

  • 1Personalis, Inc, 1330 O'Brien Drive, Menlo Park, California 94025 USA.

Genome Medicine
|August 14, 2015
PubMed
Summary
This summary is machine-generated.

An augmented exome strategy significantly improves whole exome sequencing coverage and variant detection sensitivity in medically relevant genomic regions. This approach addresses critical gaps in current sequencing assays, enhancing clinical diagnostic accuracy for genetic diseases.

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Area of Science:

  • Genomics and Bioinformatics
  • Clinical Diagnostics
  • Molecular Biology

Background:

  • Whole exome sequencing (WES) is vital for genetic disease diagnosis, but its coverage and sensitivity in medically important genomic areas are not fully understood.
  • Current sequencing assays often provide insufficient coverage for reliable clinical assessment, potentially leading to missed diagnoses.

Purpose of the Study:

  • To compare the coverage breadth and depth of four commercial exome capture platforms and whole genome sequencing (WGS) using a reference sample.
  • To evaluate an augmented exome strategy (ACE) for improved coverage in medically relevant and challenging genomic regions.
  • To assess the impact of enhanced coverage on variant detection sensitivity.

Main Methods:

  • Compared coverage of four commercial exome capture platforms and WGS using NA12878 reference sample data against curated medically relevant gene lists.
  • Evaluated an augmented exome strategy (ACE) designed to extend and enhance coverage in specific genomic areas.
  • Assessed variant detection sensitivity by leveraging reference call-sets and comparing ACE performance against conventional platforms.

Main Results:

  • Conventional exome and WGS platforms exhibited coverage shortfalls in medically interpretable genes, including those for secondary findings (ACMG) and known disease loci.
  • The ACE strategy successfully recovered coverage gaps, achieving >90% coverage for medically interpretable genes and ACMG secondary findings genes at clinically relevant depths (≥20×).
  • ACE demonstrated superior variant detection sensitivity (>97.5% for SNVs, >92.5% for InDels) compared to conventional WES and WGS platforms.

Conclusions:

  • Analytical performance, particularly coverage and sensitivity, is critical for clinical genetic assessments to avoid false negatives.
  • The augmented exome strategy (ACE) offers superior coverage in clinically important regions, addressing limitations of existing sequencing methods.
  • ACE presents a cost-effective and high-performance alternative for clinical applications requiring comprehensive genomic coverage and high sequencing depth.