Genome annotation for clinical genomic diagnostics: Strengths and weaknesses

Charles A. Steward, Alasdair P.J. Parker, Berge A. Minassian, Sanjay M. Sisodiya, Adam Frankish, Jennifer Harrow

Research output: Contribution to journalReview article

13 Scopus citations

Abstract

The Human Genome Project and advances in DNA sequencing technologies have revolutionized the identification of genetic disorders through the use of clinical exome sequencing. However, in a considerable number of patients, the genetic basis remains unclear. As clinicians begin to consider whole-genome sequencing, an understanding of the processes and tools involved and the factors to consider in the annotation of the structure and function of genomic elements that might influence variant identification is crucial. Here, we discuss and illustrate the strengths and weaknesses of approaches for the annotation and classification of important elements of protein-coding genes, other genomic elements such as pseudogenes and the non-coding genome, comparative-genomic approaches for inferring gene function, and new technologies for aiding genome annotation, as a practical guide for clinicians when considering pathogenic sequence variation. Complete and accurate annotation of structure and function of genome features has the potential to reduce both false-negative (from missing annotation) and false-positive (from incorrect annotation) errors in causal variant identification in exome and genome sequences. Re-analysis of unsolved cases will be necessary as newer technology improves genome annotation, potentially improving the rate of diagnosis.

Original languageEnglish (US)
Article number49
JournalGenome Medicine
Volume9
Issue number1
DOIs
StatePublished - May 30 2017

ASJC Scopus subject areas

  • Molecular Medicine
  • Molecular Biology
  • Genetics
  • Genetics(clinical)

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    Steward, C. A., Parker, A. P. J., Minassian, B. A., Sisodiya, S. M., Frankish, A., & Harrow, J. (2017). Genome annotation for clinical genomic diagnostics: Strengths and weaknesses. Genome Medicine, 9(1), [49]. https://doi.org/10.1186/s13073-017-0441-1