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ClinVar and HGMD genomic variant classification accuracy has improved over time, as measured by implied disease burden.

Andrew G SharoYangyun ZouAashish N AdhikariSteven E Brenner
Published in: Genome medicine (2023)
Considering misclassified variants that have since been reclassified reveals our increasing understanding of rare genetic variation. We found that variant classification guidelines and allele frequency databases comprising genetically diverse samples are important factors in reclassification. We also discovered that ClinVar variants common in European and South Asian individuals were more likely to be reclassified to a lower confidence category, perhaps due to an increased chance of these variants being classified by multiple submitters. We discuss features for variant classification databases that would support their continued improvement.
Keyphrases
  • copy number
  • deep learning
  • machine learning
  • big data
  • gene expression
  • risk factors