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Gene selection for genomic newborn screening: Moving toward consensus?
Lilian Downie1, Sophie E Bouffler2, David J Amor3
1Victorian Clinical Genetics Services, Murdoch Children's Research Institute, Melbourne, VIC, Australia; Murdoch Children's Research Institute, Melbourne, VIC, Australia; University of Melbourne, Melbourne, VIC, Australia.
This study curated a consensus gene list for genomic newborn screening (gNBS), identifying 55 core genes agreed upon by six global projects. This harmonization effort aims to improve the validity and consistency of gNBS worldwide.
Area of Science:
- Genetics
- Genomics
- Medical Genetics
Background:
- Gene selection is crucial for the validity and ethical use of genomic newborn screening (gNBS).
- Existing gNBS gene lists show significant variability despite shared selection principles.
- Harmonizing gene lists is essential for consistent and reliable gNBS implementation.
Purpose of the Study:
- To curate a consensus gene list for genomic newborn screening (gNBS).
- To build upon existing efforts and establish a core list of gene-disease pairs.
- To facilitate international harmonization of gNBS gene selection.
Main Methods:
- A multidisciplinary expert team curated a gene list using an open platform and existing resources.
- Inclusion criteria focused on severe, treatable disorders with early onset (<5 years) and established gene-disease associations.
- The curated list was compared with five other gNBS projects to identify consensus and discrepancies.
Main Results:
- 1279 genes were reviewed, with 604 meeting inclusion criteria.
- Metabolic conditions (25%), immunodeficiencies (21%), and endocrine disorders (15%) were the largest groups.
- 55 consensus genes were identified across all six gNBS projects, with discrepancies often due to variable definitions of treatability and gene-disease association strength.
Conclusions:
- A consensus gene list for gNBS has been identified.
- This list provides a foundation for international harmonization efforts in gNBS.
- Standardizing gene selection will enhance the reliability and ethical application of gNBS.
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