@article{goodman2017identified,
title = {De-identified genomic data sharing: the research participant perspective},
author = {Goodman, Deborah and Johnson, Catherine O and Bowen, Deborah and Smith, Megan and Wenzel, Lari and Edwards, Karen},
editor = {Springer},
doi = {10.1007/s1268},
issn = {1868-6001},
year = {2017},
date = {2017-04-05},
journal = {Journal of Community Genetics},
volume = {8},
pages = {1-9},
abstract = {Combining datasets into larger and separate datasets is becoming increasingly common, and personal identifiers are often removed in order to maintain participant anonymity. Views of research participants on the use of de-identified data in large research datasets are important for future projects, such as the Precision Medicine Initiative and Cancer Moonshot Initiative. This quantitative study set in the USA examines participant preferences and evaluates differences by demographics and cancer history. Study participants were recruited from the Northwest Cancer Genetics Registry and included cancer patients, their relatives, and controls. A secure online survey was administered to 450 participants. While the majority participants were not concerned about personal identification when participating in a genetic study using de-identified data, they expressed their concern that researchers protect their privacy and information. Most participants expressed a desire that their data should be available for as many research studies as possible, and in doing so, they would increase their chance of receiving personal health information. About 20% of participants felt that a link should not be maintained between the participant and their de-identified data. Reasons to maintain a link included an ability to return individual health results and an ability to support further research. Knowledge of participants’ attitudes regarding the use of data into a research repository and the maintenance of a link to de-identified data is critical to the success of recruitment into future genomic research projects.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}

@article{humbert2017quantifying,
title = {Quantifying Interdependent Risks in Genomic Privacy},
author = {Humbert, Mathias and Ayday, Erman and Hubaux, Jean-Pierre and Telenti, Amalio},
year = {2017},
date = {2017-01-01},
journal = {ACM Transactions on Privacy and Security (TOPS)},
volume = {20},
number = {1},
pages = {3},
publisher = {ACM},
keywords = {},
pubstate = {published},
tppubtype = {article}
}

@article{wagner2017evaluating,
title = {Evaluating the Strength of Genomic Privacy Metrics},
author = {Wagner, Isabel},
year = {2017},
date = {2017-01-01},
journal = {ACM Transactions on Privacy and Security (TOPS)},
volume = {20},
number = {1},
pages = {2},
publisher = {ACM},
keywords = {},
pubstate = {published},
tppubtype = {article}
}

@article{wan2017expanding,
title = {Expanding Access to Large-Scale Genomic Data While Promoting Privacy: A Game Theoretic Approach},
author = {Wan, Zhiyu and Vorobeychik, Yevgeniy and Xia, Weiyi and Clayton, Ellen Wright and Kantarcioglu, Murat and Malin, Bradley},
year = {2017},
date = {2017-01-01},
journal = {The American Journal of Human Genetics},
publisher = {Elsevier},
keywords = {},
pubstate = {published},
tppubtype = {article}
}

@article{shi2017overview,
title = {An overview of human genetic privacy},
author = {Shi, Xinghua and Wu, Xintao},
year = {2017},
date = {2017-01-01},
journal = {Annals of the New York Academy of Sciences},
volume = {1387},
number = {1},
pages = {61--72},
publisher = {Wiley Online Library},
keywords = {},
pubstate = {published},
tppubtype = {article}
}

@article{chen2017princess,
title = {PRINCESS: Privacy-protecting Rare disease International Network Collaboration via Encryption through Software guard extensionS},
author = {Chen, Feng and Wang, Shuang and Jiang, Xiaoqian and Ding, Sijie and Lu, Yao and Kim, Jihoon and Sahinalp, S Cenk and Shimizu, Chisato and Burns, Jane C and Wright, Victoria J and others},
year = {2017},
date = {2017-01-01},
journal = {Bioinformatics},
pages = {btw758},
publisher = {Oxford Univ Press},
keywords = {},
pubstate = {published},
tppubtype = {article}
}

@article{Raisaro2017,
title = {Addressing Beacon re-identification attacks: quantification and mitigation of privacy risks},
author = {Raisaro, Jean Louis and Tramèr, Florian and Ji, Zhanglong and Bu, Diyue and Zhao, Yongan and Carey, Knox and Lloyd, David and Sofia, Heidi and Baker, Dixie and Flicek, Paul and Shringarpure, Suyash and Bustamante, Carlos and Wang, Shuang and Jiang, Xiaoqian and Ohno-Machado, Lucila and Tang, Haixu and Wang, XiaoFeng and Hubaux, Jean-Pierre},
url = {https://academic.oup.com/jamia/article/3038412/Addressing},
doi = {10.1093/jamia/ocw167},
issn = {1067-5027},
year = {2017},
date = {2017-01-01},
journal = {Journal of the American Medical Informatics Association},
volume = {0},
number = {0},
pages = {1--8},
keywords = {},
pubstate = {published},
tppubtype = {article}
}

@article{huang2017sqc,
title = {SQC: Secure Quality Control for Meta-Analysis of Genome-Wide Association Studies.},
author = {Huang, Zhicong and Lin, Huang and Fellay, Jacques and Kutalik, Zolt'an and Hubaux, Jean-Pierre},
year = {2017},
date = {2017-01-01},
journal = {Bioinformatics (Oxford, England)},
keywords = {},
pubstate = {published},
tppubtype = {article}
}

@article{mclaren2016privacy,
title = {Privacy-preserving genomic testing in the clinic: a model using HIV treatment},
author = {McLaren, Paul J. and Raisaro, Jean Louis and Aouri, Manel and Rotger, Margalida and Ayday, Erman and Bartha, István and Delgado, Maria B. and Vallet, Yannick and Günthard, Huldrych F. and Cavassini, Matthias and Furrer, Hansjakob and Doco-Lecompte, Thanh and Marzolini, Catia and Schmid, Patrick and Di Benedetto, Caroline and Decosterd, Laurent A. and Fellay, Jacques and Hubaux, Jean-Pierre and Telenti, Amalio and Study, ;the Swiss HIV Cohort},
url = {http://www.nature.com/doifinder/10.1038/gim.2015.167},
doi = {10.1038/gim.2015.167},
issn = {1098-3600},
year = {2016},
date = {2016-08-01},
journal = {Genetics in Medicine},
volume = {18},
number = {8},
pages = {814--822},
publisher = {Nature Publishing Group},
keywords = {},
pubstate = {published},
tppubtype = {article}
}

@article{shimizu2016efficient,
title = {Efficient privacy-preserving string search and an application in genomics},
author = {Shimizu, Kana and Nuida, Koji and R"atsch, Gunnar},
year = {2016},
date = {2016-01-01},
journal = {Bioinformatics},
volume = {32},
number = {11},
pages = {1652--1661},
publisher = {Oxford Univ Press},
keywords = {},
pubstate = {published},
tppubtype = {article}
}

@inproceedings{namazi2016dynamic,
title = {Dynamic Privacy-Preserving Genomic Susceptibility Testing},
author = {Namazi, Mina and Troncoso-Pastoriza, Juan Ram'on and P'erez-Gonz'alez, Fernando},
year = {2016},
date = {2016-01-01},
booktitle = {Proceedings of the 4th ACM Workshop on Information Hiding and Multimedia Security},
pages = {45--50},
organization = {ACM},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}

@article{simmons2016realizing,
title = {Realizing privacy preserving genome-wide association studies},
author = {Simmons, Sean and Berger, Bonnie},
year = {2016},
date = {2016-01-01},
journal = {Bioinformatics},
volume = {32},
number = {9},
pages = {1293--1300},
publisher = {Oxford Univ Press},
keywords = {},
pubstate = {published},
tppubtype = {article}
}

@article{Simmons201654,
title = {Enabling Privacy-Preserving GWASs in Heterogeneous Human Populations},
author = {Simmons, Sean and Sahinalp, Cenk and Berger, Bonnie},
year = {2016},
date = {2016-01-01},
journal = {Cell Systems},
volume = {3},
number = {1},
pages = {54 - 61},
keywords = {},
pubstate = {published},
tppubtype = {article}
}

@article{wang2016healer,
title = {HEALER: Homomorphic computation of ExAct Logistic rEgRession for secure rare disease variants analysis in GWAS},
author = {Wang, Shuang and Zhang, Yuchen and Dai, Wenrui and Lauter, Kristin and Kim, Miran and Tang, Yuzhe and Xiong, Hongkai and Jiang, Xiaoqian},
year = {2016},
date = {2016-01-01},
journal = {Bioinformatics},
volume = {32},
number = {2},
pages = {211--218},
publisher = {Oxford Univ Press},
keywords = {},
pubstate = {published},
tppubtype = {article}
}

@article{wang2016genome,
title = {Genome privacy: challenges, technical approaches to mitigate risk, and ethical considerations in the United States},
author = {Wang, Shuang and Jiang, Xiaoqian and Singh, Siddharth and Marmor, Rebecca and Bonomi, Luca and Fox, Dov and Dow, Michelle and Ohno-Machado, Lucila},
year = {2016},
date = {2016-01-01},
journal = {Annals of the New York Academy of Sciences},
publisher = {Wiley Online Library},
keywords = {},
pubstate = {published},
tppubtype = {article}
}