Page 4 - B.Bioinformatics and systems biology

[B. Bioinformatics and systems biology-4]

A Study on the Improvement of the Cryptographic Algorithm

for Identifying Genetic relatives

Minhyeok Jeong¹, Gi Ju Lee¹, Jong Wha Joanne Joo¹

¹Computer Science and Engineering, Dongguk University, Seoul 04620, Republic of Korea

The development of high-throughput genomic technology has affected many areas of genetic research. While many
applications of these technologies have focused on the discovery of disease-related genes in the population sample,
applying genetic technology to an individual's genome or individual genomics has recently gained much attention.

One such application is identifying relatives in genetic data. In this application, genetic information of existing

individuals is collected in the database, and each pair of individuals is compared to identify their genetic relatives.
The essential problem with identifying relatives is privacy. GenoCrypt proposed a way to identify genetic relatives
without compromising privacy by utilizing new customized cryptographic technologies for security and private

comparison of genetic information. This is a safe method to compare genetic information between individuals
without exposing it to others. However, it requires high computing resources. In this research, we improved

GenoCrypt methods so that we achieve similar results while consuming less computing resources.