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

doi:10.1073/pnas.1711125114

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Article

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

Proceedings of the National Academy of Sciences of the United States of America - 19 Sept 2017

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

Abstract excerpt

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 statistical modeling to predict biometric traits in a cohort of 1,061 participants of diverse ancestry. Individually, for...

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PMID: 28874526
DOI: 10.1073/pnas.1711125114
PMCID: PMC5617305

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