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WGS Data Collections: How Do Genomic Databases Transform Medicine?

Zbigniew J KrólPaula DoboszAntonina ŚlubowskaMagdalena Mroczek
Published in: International journal of molecular sciences (2023)
As a scientific community we assumed that exome sequencing will elucidate the basis of most heritable diseases. However, it turned out it was not the case; therefore, attention has been increasingly focused on the non-coding sequences that encompass 98% of the genome and may play an important regulatory function. The first WGS-based datasets have already been released including underrepresented populations. Although many databases contain pooled data from several cohorts, recently the importance of local databases has been highlighted. Genomic databases are not only collecting data but may also contribute to better diagnostics and therapies. They may find applications in population studies, rare diseases, oncology, pharmacogenetics, and infectious and inflammatory diseases. Further data may be analysed with Al technologies and in the context of other omics data. To exemplify their utility, we put a highlight on the Polish genome database and its practical application.
Keyphrases
  • big data
  • electronic health record
  • healthcare
  • artificial intelligence
  • randomized controlled trial
  • copy number
  • gene expression
  • single cell
  • clinical trial
  • genome wide
  • working memory
  • open label
  • phase iii