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

Genome Biology

Kunhee Kim¹  Eleazer Eskin²  Jin Kyung Roh³  Hyungryul Baik⁴  Buhm Han⁵  Chloe Soohyun Jang⁵ 

[1]Department of Biomedical Sciences, Asan Medical Center, AMIST, University of Ulsan College of Medicine

[2]Department of Computer Science and Human Genetics, University of California Los Angeles

[3]Department of Convergence Medicine, University of Ulsan College of Medicine, Asan Medical Center

[4]Department of Mathematical Science, KAIST

[5]Department of Medical Sciences, Seoul National University College of Medicine

关键词: Multilateration;    Genetic distance;    Personal genome;    Data sharing;    Privacy protection;   

DOI  :  10.1186/s13059-019-1792-2

来源: DOAJ

【 摘 要 】

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.

【 授权许可】

Unknown