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Volume 13 Supplement 7

Proceedings of the 7th iDASH Privacy and Security Workshop 2018

Research

Publication of this supplement has not been supported by sponsorship. Information about the source of funding for publication charges can be found in the individual articles. The articles have undergone the journal's standard peer review process for supplements. The Supplement Editors declare that they have no competing interests.

San Diego, CA, USA15 October 2018

Workshop website

Edited by Lucila Ohno-Machado, Xiaoqian Jiang, Haixu Tang, Xiaofeng Wang and Tsung-Ting Kuo.

  1. One way of investigating how genes affect human traits would be with a genome-wide association study (GWAS). Genetic markers, known as single-nucleotide polymorphism (SNP), are used in GWAS. This raises privac...

    Authors: Jun Jie Sim, Fook Mun Chan, Shibin Chen, Benjamin Hong Meng Tan and Khin Mi Mi Aung

    Citation: BMC Medical Genomics 2020 13(Suppl 7):90

    Content type: Research

    Published on:

  2. Finding long matches in deoxyribonucleic acid (DNA) sequences in large aligned genetic sequences is a problem of great interest. A paradigmatic application is the identification of distant relatives via large ...

    Authors: Katerina Sotiraki, Esha Ghosh and Hao Chen

    Citation: BMC Medical Genomics 2020 13(Suppl 7):72

    Content type: Research

    Published on:

  3. Genome-Wide Association Studies (GWAS) refer to observational studies of a genome-wide set of genetic variants across many individuals to see if any genetic variants are associated with a certain trait. A typi...

    Authors: Marcelo Blatt, Alexander Gusev, Yuriy Polyakov, Kurt Rohloff and Vinod Vaikuntanathan

    Citation: BMC Medical Genomics 2020 13(Suppl 7):83

    Content type: Research

    Published on:

  4. One of three tasks in a secure genome analysis competition called iDASH 2018 was to develop a solution for privacy-preserving GWAS computation based on homomorphic encryption. The scenario is that a data holde...

    Authors: Duhyeong Kim, Yongha Son, Dongwoo Kim, Andrey Kim, Seungwan Hong and Jung Hee Cheon

    Citation: BMC Medical Genomics 2020 13(Suppl 7):77

    Content type: Research

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  5. Privacy-preserving computations on genomic data, and more generally on medical data, is a critical path technology for innovative, life-saving research to positively and equally impact the global population. I...

    Authors: Sergiu Carpov, Nicolas Gama, Mariya Georgieva and Juan Ramon Troncoso-Pastoriza

    Citation: BMC Medical Genomics 2020 13(Suppl 7):88

    Content type: Research

    Published on:

  6. The sharing of biomedical data is crucial to enable scientific discoveries across institutions and improve health care. For example, genome-wide association studies (GWAS) based on a large number of samples ca...

    Authors: Miran Kim, Yongsoo Song, Baiyu Li and Daniele Micciancio

    Citation: BMC Medical Genomics 2020 13(Suppl 7):99

    Content type: Research

    Published on:

2019 Journal Metrics

Announcement

As a result of the significant disruption that is being caused by the COVID-19 pandemic we are very aware that many researchers will have difficulty in meeting the timelines associated with our peer review process during normal times.  Please do let us know if you need additional time. Our systems will continue to remind you of the original timelines but we intend to be highly flexible at this time.