Identification of individuals by trait prediction using whole-genome sequencing data

Prediction of human physical traits and demographic information from genomic data challenges privacy and data deidentification in personalized medicine. To explore the current capabilities of phenotype-based genomic identification, we applied whole-genome sequencing, detailed phenotyping, and statis...

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Pubblicato in:Proc Natl Acad Sci U S A
Autori principali: Lippert, Christoph, Sabatini, Riccardo, Maher, M. Cyrus, Kang, Eun Yong, Lee, Seunghak, Arikan, Okan, Harley, Alena, Bernal, Axel, Garst, Peter, Lavrenko, Victor, Yocum, Ken, Wong, Theodore, Zhu, Mingfu, Yang, Wen-Yun, Chang, Chris, Lu, Tim, Lee, Charlie W. H., Hicks, Barry, Ramakrishnan, Smriti, Tang, Haibao, Xie, Chao, Piper, Jason, Brewerton, Suzanne, Turpaz, Yaron, Telenti, Amalio, Roby, Rhonda K., Och, Franz J., Venter, J. Craig
Natura: Artigo
Lingua:Inglês
Pubblicazione: National Academy of Sciences 2017
Soggetti:
Biological Sciences
Accesso online:https://ncbi.nlm.nih.gov/pmc/articles/PMC5617305/
https://ncbi.nlm.nih.gov/pubmed/28874526
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1073/pnas.1711125114
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