Published July 30, 2019 | Version v1.0.0
Software Open

Genomic GPS: using genetic distance from individuals to public data for genomic analysis without disclosing personal genomes

Authors/Creators

  • 1. Department of Convergence Medicine, University of Ulsan College of Medicine, Asan Medical Center, Seoul, South Korea & Department of Medicinal Sciences, Seoul National University College of Medicine, Seoul, South Korea
  • 2. Department of Mathematical Science, KAIST, Daejeon, South Korea
  • 3. Department of Medicinal Sciences, Seoul National University College of Medicine, Seoul, South Korea
  • 4. Department of Convergence Medicine, University of Ulsan College of Medicine, Asan Medical Center, Seoul, South Korea
  • 5. Department of Computer Science and Human Genetics, University of California Los Angeles, Los Angeles, CA, USA

Description

Genomic GPS applies the multilateration technique commonly used in the global positioning system (GPS) to genomic data. In the framework we present here, investigators calculate genetic distances between their samples and reference samples, which are from data held in the public domain, and share this information with others. This sharing enables certain types of genomic analysis, such as identifying sample overlaps and close relatives, decomposing ancestry, and mapping of geographical origin without disclosing personal genome. Thus, our method can be seen as a balance between open data sharing and privacy protection.

Files

hanlab-SNU/GenomicGPS-v1.0.0.zip

Files (19.6 MB)

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Additional details

Related works

Is supplement to
https://github.com/hanlab-SNU/GenomicGPS/tree/v1.0.0 (URL)