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

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 i...

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Detalles Bibliográficos
Autores principales: Kim, Kunhee, Baik, Hyungryul, Jang, Chloe Soohyun, Roh, Jin Kyung, Eskin, Eleazer, Han, Buhm
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Short Report
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6712716/
https://www.ncbi.nlm.nih.gov/pubmed/31455387
http://dx.doi.org/10.1186/s13059-019-1792-2
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author Kim, Kunhee
Baik, Hyungryul
Jang, Chloe Soohyun
Roh, Jin Kyung
Eskin, Eleazer
Han, Buhm
author_facet Kim, Kunhee
Baik, Hyungryul
Jang, Chloe Soohyun
Roh, Jin Kyung
Eskin, Eleazer
Han, Buhm
author_sort Kim, Kunhee
collection PubMed
description 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. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13059-019-1792-2) contains supplementary material, which is available to authorized users.
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spelling pubmed-67127162019-08-29 Genomic GPS: using genetic distance from individuals to public data for genomic analysis without disclosing personal genomes Kim, Kunhee Baik, Hyungryul Jang, Chloe Soohyun Roh, Jin Kyung Eskin, Eleazer Han, Buhm Genome Biol Short Report 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. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13059-019-1792-2) contains supplementary material, which is available to authorized users. BioMed Central 2019-08-27 /pmc/articles/PMC6712716/ /pubmed/31455387 http://dx.doi.org/10.1186/s13059-019-1792-2 Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Short Report
Kim, Kunhee
Baik, Hyungryul
Jang, Chloe Soohyun
Roh, Jin Kyung
Eskin, Eleazer
Han, Buhm
Genomic GPS: using genetic distance from individuals to public data for genomic analysis without disclosing personal genomes
title Genomic GPS: using genetic distance from individuals to public data for genomic analysis without disclosing personal genomes
title_full Genomic GPS: using genetic distance from individuals to public data for genomic analysis without disclosing personal genomes
title_fullStr Genomic GPS: using genetic distance from individuals to public data for genomic analysis without disclosing personal genomes
title_full_unstemmed Genomic GPS: using genetic distance from individuals to public data for genomic analysis without disclosing personal genomes
title_short Genomic GPS: using genetic distance from individuals to public data for genomic analysis without disclosing personal genomes
title_sort genomic gps: using genetic distance from individuals to public data for genomic analysis without disclosing personal genomes
topic Short Report
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6712716/
https://www.ncbi.nlm.nih.gov/pubmed/31455387
http://dx.doi.org/10.1186/s13059-019-1792-2
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