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

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Authors
Kim, Kunhee; Baik, Hyungryul; Jang, Chloe Soohyun; Roh, Jin Kyun; Eskin, Eleazer; Han, Buhm
Issue Date
2019-08-27
Publisher
BioMed Central
Citation
Genome Biology, 20(1):175
Keywords
MultilaterationGenetic distancePersonal genomeData sharingPrivacy protection
Abstract
Genomic global positioning system (GPS) applies the multilateration technique commonly used in the GPS to genomic data. In the framework we present here, investigators calculate genetic distances from their samples to 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 genomes. Thus, our method can be seen as a balance between open data sharing and privacy protection.
ISSN
1474-760X
Language
English
URI
http://hdl.handle.net/10371/162632
DOI
https://doi.org/10.1186/s13059-019-1792-2
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College of Medicine/School of Medicine (의과대학/대학원)Dept. of Biomedical Sciences (대학원 의과학과)Journal Papers (저널논문_의과학과)
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