TITLE:
A Personalized Digital Code from Unique Genome Fingerprinting Pattern for Use in Identification and Application on Blockchain
AUTHORS:
Isaac Kise Lee
KEYWORDS:
Genomic Fingerprint, Digital Code, SNP’s, Auxiliary Code, Marker Selection, Blockchain, Web3.0, Decentralized Identification (DID)
JOURNAL NAME:
Computational Molecular Bioscience,
Vol.13 No.1,
March
31,
2023
ABSTRACT: With over 10 million points of genetic variation from person to person, every individual’s genome is unique and provides a highly reliable form of identification. This is because the genetic code is specific to each individual and does not change over time. Genetic information has been used to identify individuals in a variety of contexts, such as criminal investigations, paternity tests, and medical research. In this study, each individual’s genetic makeup has been formatted to create a secure, unique code that incorporates various elements, such as species, gender, and the genetic identification code itself. The combinations of markers required for this code have been derived from common single nucleotide polymorphisms (SNPs), points of variation found in the human genome. The final output is in the form of a 24 numerical code with each number having three possible combinations. The custom code can then be utilized to create various modes of identification on the decentralized blockchain network as well as personalized services and products that offer users a novel way to uniquely identify themselves in ways that were not possible before.