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Targeted Next-generation Sequencing and Bioinformatics Pipeline to Evaluate Genetic Determinants of Constitutional Disease
Published on: April 4, 2018
GenRiskPro: A Comprehensive Whole-Genome Sequencing Analysis Platform for Clinical and Wellness Applications
Xiya Song1, Xinmeng Liao1, Emre Green1
1Science for Life Laboratory, KTH - Royal Institute of Technology, Stockholm SE-17165, Sweden.
GenRiskPro automates whole-genome sequencing analysis, delivering actionable genetic insights for precision wellness. This platform integrates rare and common variants, enhancing clinical decision-making and research collaboration for personalized healthcare.
Area of Science:
- Genomics and Bioinformatics
- Clinical Decision Support Systems
- Precision Medicine
Background:
- Translating whole-genome sequencing (WGS) data into actionable clinical insights remains a significant challenge.
- Existing platforms often lack integrated pipelines for both rare and common variant analysis.
- Efficient genomic variant reporting for clinicians and patients is crucial for personalized healthcare.
Purpose of the Study:
- To introduce GenRiskPro, a novel clinical decision-support and research platform for automated WGS analysis.
- To demonstrate the platform's capability in integrating rare and common variant prioritization for comprehensive genomic insights.
- To facilitate precision wellness by delivering user-friendly, actionable genomic findings.
Main Methods:
- Development of a unified WGS variant calling, annotation, prioritization, and reporting pipeline.
- Integration of an in-house database for rare and common variant analysis.
- Utilized LongevityCloud for clinician review and patient reporting via web portal and AI-integrated mobile app.
- Case studies on Turkish (n=275) and Swedish (n=101) WGS data.
Main Results:
- A 1.82% positive rate for actionable findings per ACMG secondary findings guidelines using predefined gene panels.
- Successful diagnosis of cases including muscular dystrophy and microcephaly through phenotype-driven analysis.
- Identification of potentially misclassified pathogenic variants via cohort-level ClinVar reassessment.
- Discovery of rare variant enrichment (ABCA4 in TR, SMPD1 in SW) and population-specific carrier differences in trait-associated SNPs and PGx variants.
Conclusions:
- GenRiskPro effectively automates WGS analysis, providing rapid, user-friendly genomic insights for clinical decision support and research.
- The platform's integrated approach enhances the identification of actionable findings and facilitates precision wellness.
- GenRiskPro fosters collaboration among stakeholders, accelerating the translation of genomic discoveries into personalized healthcare.
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