Nature Communications (Aug 2022)

Pan-African genome demonstrates how population-specific genome graphs improve high-throughput sequencing data analysis

  • H. Serhat Tetikol,
  • Deniz Turgut,
  • Kubra Narci,
  • Gungor Budak,
  • Ozem Kalay,
  • Elif Arslan,
  • Sinem Demirkaya-Budak,
  • Alexey Dolgoborodov,
  • Duygu Kabakci-Zorlu,
  • Vladimir Semenyuk,
  • Amit Jain,
  • Brandi N. Davis-Dusenbery

DOI
https://doi.org/10.1038/s41467-022-31724-3
Journal volume & issue
Vol. 13, no. 1
pp. 1 – 11

Abstract

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Graph-based genome reference representations have seen significant development, motivated by the inadequacy of the current human genome reference to represent the diverse genetic information from different human populations and its inability to maintain the same level of accuracy for non-European ancestries. Here the authors present the case for iteratively augmenting tailored genome graphs for targeted populations and demonstrate this approach on the whole-genome samples of African ancestry.