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    • What is lifePass?
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On this page
  • Introduction
  • Ancestry
  • Genetic Attributes
  • Health Risk
  • Genetic Traits
  • Nutritional Genomics
  • Pharmacogenomics (PGx)
  • Contributions
  • Acknowledgement
  1. lifePass DID

What is lifePass?

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Last updated 1 month ago

Introduction

lifePass () is a human-layer DID protocol powered by cutting-edge omics technologies and AI models. It is designed to support fast-growing decentralized science (DeSci) and longevity-focused projects within the Web3 community.

Key features of lifePass:

  • The most reliable decentralized Proof-of-Human infrastructure

  • Self-custody of personal genomic data enabled by blockchain and encryption technologies

  • Genomic data infrastructure based on Zero-Knowledge (ZK) technology, supporting applications and research while protecting user privacy and data security

  • Decentralized infrastructure for AI-powered analysis and interpretation of personal genomic data

Ancestry

The default ancestry composition analysis provided by lifePass includes 13 typical populations:

  • East Asian

  • Siberian

  • Amerindian

  • South Asian

  • North European

  • Artic

  • Palaeo African

  • West African

  • Southwest Asian

  • Mediterranean

  • Australasian

  • West Asian

  • East African

Admixture algorithm is applied to your genome data to conduct the ancestry composition analysis. Results will be returned as labels associated to your LifePass's NFT.

Genetic Attributes

Currently, genetic attributes are categorized into four main areas:

Health Risk

Genetic predisposition to specific conditions, calculated using Polygenic Risk Scores (PRS). Example: Depression

Genetic Traits

Phenotypic characteristics influenced by genetic variation.

Examples:

  • Bitter taste sensitivity

  • Smoking behavior

  • Male sexual orientation tendencies

  • ApoE genotyping

Nutritional Genomics

Insights into how genes affect the body's response to nutrients. Examples:

  • Caffeine metabolism

  • Lactose intolerance

  • Alcohol metabolism

Pharmacogenomics (PGx)

How genetic variation affects drug response and metabolism. Example: Simvastatin

Contributions

Initial idea was proposed by Wayne from Axia8 Venture.

Product is designed by David, Weibo and Walker from dLife, and Void, who is the leader of a Web3 development team.

Smart contracts is developed by a skilled Web3 development team lead by Void. The bioinformatics part is developed by a professional team lead by Senwei from WeGene.

Acknowledgement

https://pass.dlife.xyz
A demo lifePass profile