Related Experiment Video
Updated: Apr 30, 2026

Determining the Likelihood of Variant Pathogenicity Using Amino Acid-level Signal-to-Noise Analysis of Genetic Variation
Published on: January 16, 2019
The personal genome browser: visualizing functions of genetic variants
Liran Juan1, Mingxiang Teng1, Tianyi Zang1
1Center for Bioinformatics, Harbin Institute of Technology, Harbin, Heilongjiang 150001, China.
The Personal Genome Browser (PGB) visualizes and annotates individual genomes, aiding personalized healthcare. It analyzes genetic variants and highlights potential functional risks for genome studies.
Area of Science:
- Genomics
- Bioinformatics
- Personalized Medicine
Background:
- High-throughput sequencing enables individual genome analysis.
- Visualizing and annotating individual genomes presents challenges for research and healthcare.
- Existing tools lack comprehensive functional annotation and visualization.
Purpose of the Study:
- To develop a tool for comprehensive functional annotation and visualization of individual genomes.
- To support genome studies and personalized healthcare by integrating genetic data with knowledge bases.
- To facilitate the identification and analysis of genetic variants and their associated phenotypes.
Main Methods:
- Developed the Personal Genome Browser (PGB) based on a genetic-molecular-phenotypic model.
- Implemented visualization of single nucleotide variants (SNVs), INDELs, and structural variations (SVs).
- Integrated functional annotation using built-in methods and external scores (SIFT/PolyPhen2).
- Enabled real-time visualization of functional annotation for input genome variants.
- Accepted Variant Call Format (VCF) and Genetic Variation Format (GVF) files.
Main Results:
- PGB provides comprehensive functional annotation and visualization for individual genomes.
- Investigators can view genetic variants, genomic features, and associated phenotypes.
- Potential functional variants are highlighted, and functional risks of genes can be evaluated.
- Users can navigate to high-risk genes within the individual genome.
Conclusions:
- PGB addresses the challenge of visualizing and analyzing individual genomes.
- The tool supports genome studies and personalized healthcare by providing functional insights.
- PGB facilitates the interpretation of genetic variants and their implications.
Related Concept Videos
Principles of Pharmacogenetics: Types of Genetic Variants
Genome-wide Association Studies-GWAS
GWAS does not require the identification of the target gene involved in...
Genomics
Evolutionary Relationships through Genome Comparisons
Human Genetics
The complex relationship between genetics and psychology is observable through common biological components such...
Genetic Screens
Forward genetic screens
Forward or “classical” genetic screens involve creating random mutations in an organism’s DNA using radiation, mutagens, or insertion of additional bases, which...

