Vietnam Genome Project

                                                                                                                                                           VNGenome

WHAT WE CAN OFFER

VGP is a project funded by VINIF, composed of Vingroup Big Data Institute (VBD), Ha Noi Medical University (HMU) and University of Queensland (UQ). The project aims to contribute to the achievement of the ambitious but within-reach goal of providing "Genomes for Everyone". We desire to create a solution that fits into the pockets of millions of Vietnamese, creating an opportunity for Vietnam to step into the international revolution in data transmission and big data analytics for personalized medicine. VGP harnesses the power of the 1000 Vietnamese Genomes Project (1KVG), the latest and the largest whole genome sequencing (WGS) project for the Vietnamese people, and the development of several key modules:

1. Building a reference genome and browser for the Vietnamese genome (VGR – Vietnam Genome Reference)

2. Detection of Vietnam-specific disease-associated variants (VDV) and design of SNP chips

minh họa VGP

The basis and plan for creating a new reference genome

RESEARCH OBJECTIVES

Hg38-vn

The identification of Vietnamese genomic variants to build custom reference genomes is different from human genome version 38 (hg38).

Disease-associated genetic variants

Calculation and construction of a list of common and rare genetic variants associated with diseases in Vietnamese (VDV).

SNP Chip Aplication

Assessment of the applicability of the SNP chip in clinical practice along with the typical diagnostic procedure.

Long-Read Data Analysis

Generating long reads and Vietnamese genome reference (VGR) datasets.

RNA-seq Analysis

Conduct a trial that generates 50 WGS and 50 RNA-seq data from patient cohorts for VDV verification.

SNP Chip for Vietnamese

Design a Vietnam-specific SNP chip for genome-based disease prediction.

Genome Browser 

Design a public browser for the VGR genome.

ACKNOWLEDGEMENT


VGP is a project funded by VINIF, composed of Vingroup Big Data Institute (VBD), Ha Noi Medical University (HMU) and University of Queensland (UQ). We acknowledge our clinical partner has given us access to patient data and we consent to making a portion of the dataset public. We are especially thankful to all of our collaborators, including doctors, nurse, physicians, and technicians, who participated in the  sample and data collection.  

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