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Recommendations for bioinformatics in clinical practice.

Ksenia Lavrichenko1, Emilie Sofie Engdal2, Rasmus L Marvig2

  • 1Oslo University Hospital, Oslo, Norway.

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Summary
This summary is machine-generated.

Standardizing bioinformatics practices for clinical whole-genome sequencing (WGS) is crucial for accuracy and comparability. These recommendations ensure reliable diagnostic results from next-generation sequencing (NGS) data.

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Area of Science:

  • Genomics
  • Bioinformatics
  • Clinical Diagnostics

Background:

  • Next-generation sequencing (NGS) and whole-genome sequencing (WGS) are increasingly vital in clinical diagnostics.
  • Existing guidelines address variant interpretation and lab quality but lack standardized bioinformatics practices.
  • Standardization is needed for clinical consensus, accuracy, reproducibility, and comparability in WGS data analysis.

Purpose of the Study:

  • To present consensus recommendations for clinical bioinformatics operations in whole-genome sequencing.
  • To establish standardized practices for analysis, validation, standardization, accreditation, and core competencies.
  • To guide clinical bioinformatics units in producing reliable and reproducible WGS data.

Main Methods:

  • Recommendations developed by 13 clinical bioinformatics units from the Nordic Alliance for Clinical Genomics (NACG).
  • Focus on clinical practice, including analysis types, testing, validation, standardization, and accreditation.
  • Incorporation of core competencies and technical management for clinical bioinformatics.

Main Results:

  • Adoption of the hg38 genome build and a standard analysis set, including multiple tools for structural variant (SV) calling.
  • Implementation of ISO 15189 standards, clinical-grade HPC, standardized formats, and strict version control for reproducibility.
  • Mandatory pipeline documentation, accuracy/reproducibility testing, use of standard truth sets, data integrity verification, and sample identity confirmation.

Conclusions:

  • The recommendations offer a consensus framework for standardizing bioinformatics in clinical WGS.
  • Provides a practical guide for facilities new to large-scale sequencing diagnostics.
  • Serves as a reference for high-volume NGS clinical production facilities.