Human Genome in a Smart Card

Mete Akgün, Bekir Ergüner, Ali Osman Bayrak, Mahmut Şamil Sağıroğlu

2014

Abstract

Gene sequencing costs have fallen considerably with advancements in technology in the last 10 years. This cost will be reduced even further in the following years. That means personal genomics will be very possible in the near future. How and where genetic information is stored is the biggest problem for individuals. Furthermore, privacy of genomic data has a great importance because it can be used to identify an individual and it contains privacy-sensitive data. Therefore, privacy-preserving methods for the use of genomic data should be developed. In this paper, we present a method for storing some parts of human genome needed for the disease risk computation in a smart card. Our method uses variations that separate any genome from the reference genome. It selects the variations corresponding to the exonic regions and filters them according to their variant quality and genotype quality. We show that our method can reduce a single whole human genome to the size small enough to be stored in a smart card without abusing the genomic privacy of individuals. Furthermore, we also propose a simple system in which genomic smart cards are used to perform privacy preserving disease risk test.

Paper Citation

in Harvard Style

Akgün M., Ergüner B., Bayrak A. and Sağıroğlu M. (2014). Human Genome in a Smart Card . In Proceedings of the International Conference on Health Informatics - Volume 1: HEALTHINF, (BIOSTEC 2014) ISBN 978-989-758-010-9, pages 310-316. DOI: 10.5220/0004799903100316

in Bibtex Style

@conference{healthinf14,
author={Mete Akgün and Bekir Ergüner and Ali Osman Bayrak and Mahmut Şamil Sağıroğlu},
title={Human Genome in a Smart Card},
booktitle={Proceedings of the International Conference on Health Informatics - Volume 1: HEALTHINF, (BIOSTEC 2014)},
year={2014},
pages={310-316},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004799903100316},
isbn={978-989-758-010-9},
}

in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Health Informatics - Volume 1: HEALTHINF, (BIOSTEC 2014)
TI - Human Genome in a Smart Card
SN - 978-989-758-010-9
AU - Akgün M.
AU - Ergüner B.
AU - Bayrak A.
AU - Sağıroğlu M.
PY - 2014
SP - 310
EP - 316
DO - 10.5220/0004799903100316