한빛사논문
Kunhee Kim1,3†, Hyungryul Baik2†, Chloe Soohyun Jang3, Jin Kyung Roh4, Eleazer Eskin5,6 and Buhm Han3*
1 Department of Biomedical Sciences, Asan Medical Center, AMIST, University of Ulsan College of Medicine, Seoul, South Korea. 2 Department of Mathematical Science, KAIST, Daejeon, South Korea. 3 Department of Medical 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. 6 Department of Computational Medicine, University of California Los Angeles, Los Angeles, CA, USA.
†Kunhee Kim and Hyungryul Baik contributed equally to this work.
* Correspondence : Buhm Han
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.
Keywords: Multilateration, Genetic distance, Personal genome, Data sharing, Privacy protection
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