Next-generation sequencing and the evolution of data sharing

Am J Med Genet A. 2021 Sep;185(9):2633-2635. doi: 10.1002/ajmg.a.62239. Epub 2021 May 7.

Abstract

Disease gene identification often relies on identifying multiple affected individuals with similar phenotypes and candidate variants in the same gene. Phenotypic and genomic data sharing tools have facilitated connections that led to novel disease gene discoveries and better characterization and recognition of rare diseases. Additionally, data sharing has evolved. From gene-based matches to variant-level information with increasing use of phenotypic information. We expect that these initiatives will continue to expand in the future affording clinicians, researchers, and most importantly, patients and their families faster and more comprehensive answers.

Keywords: GeneMatcher; VariantMatcher; data sharing; model organisms; whole exome sequencing.

MeSH terms

  • Computational Biology / methods*
  • Databases, Genetic
  • Evolution, Molecular*
  • Genetic Diseases, Inborn / genetics*
  • Genetic Diseases, Inborn / pathology
  • Genetic Predisposition to Disease*
  • High-Throughput Nucleotide Sequencing / methods*
  • Humans
  • Information Dissemination / methods*
  • Phenotype*