Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Genome-wide Association Studies-GWAS01:11

Genome-wide Association Studies-GWAS

13.2K
Genome-wide association studies or GWAS are used to identify whether common SNPs are associated with certain diseases. Suppose specific SNPs are more frequently observed in individuals with a particular disease than those without the disease. In that case, those SNPs are said to be associated with the disease. Chi-square analysis is performed to check the probability of the allele likely to be associated with the disease.
GWAS does not require the identification of the target gene involved in...
13.2K
Gene Evolution - Fast or Slow?02:05

Gene Evolution - Fast or Slow?

7.1K
The genomes of eukaryotes are punctuated by long stretches of sequence which do not code for proteins or RNAs. Although some of these regions do contain crucial regulatory sequences, the vast majority of this DNA serves no known function. Typically, these regions of the genome are the ones in which the fastest change, in evolutionary terms, is observed, because there is typically little to no selection pressure acting on these regions to preserve their sequences.
In contrast, regions which code...
7.1K
Genetic Screens02:46

Genetic Screens

4.9K
Genetic screens are tools used to identify genes and mutations responsible for phenotypes of interest. Genetic screens help identify individuals or a group of people at risk of developing  genetic diseases and help them with early intervention, targeted therapy, and reproductive options.
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...
4.9K
Incomplete Dominance01:43

Incomplete Dominance

22.2K
Gregor Mendel's work (1822 - 1884) was primarily focused on pea plants. Through his initial experiments, he determined that every gene in a diploid cell has two variants called alleles inherited from each parent. He suggested that amongst these two alleles, one allele is dominant in character and the other recessive. The combination of alleles determines the phenotype of a gene in an organism.
22.2K
Single Nucleotide Polymorphisms-SNPs01:05

Single Nucleotide Polymorphisms-SNPs

14.9K
A single nucleotide polymorphism or SNP is a single nucleotide variation at a specific genomic position in a large population. It is the most prevalent type of sequence variation found in the human genome. Point mutations that occur in more than 1% of the population qualify as SNPs. These are present once every 1000 nucleotides on an average in the human genome. Replacement of a purine with another purine (A/G) or a pyrimidine with another pyrimidine (C/T) is known as a transition. In contrast,...
14.9K
Gene Flow02:39

Gene Flow

35.0K
Gene flow is the transfer of genes among populations, resulting from either the dispersal of gametes or from the migration of individuals.
35.0K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

De Novo exposomic geospatial assembly of chronic disease regions with machine learning & network analysis.

EBioMedicine·2025
Same author

Integrating pharmacogenomics and cheminformatics with diverse disease phenotypes for cell type-guided drug discovery.

Genome medicine·2025
Same author

Avoiding Rash Decisions.

The New England journal of medicine·2024
Same author

NetMedPy: A Python package for Large-Scale Network Medicine Screening.

bioRxiv : the preprint server for biology·2024
Same author

Two Sides to the Story.

The New England journal of medicine·2024
Same author

Author Correction: Branched-chain α-ketoacids aerobically activate HIF1α signalling in vascular cells.

Nature metabolism·2024

Related Experiment Video

Updated: Jun 15, 2025

Determining the Likelihood of Variant Pathogenicity Using Amino Acid-level Signal-to-Noise Analysis of Genetic Variation
07:15

Determining the Likelihood of Variant Pathogenicity Using Amino Acid-level Signal-to-Noise Analysis of Genetic Variation

Published on: January 16, 2019

11.0K

Disease gene prioritization with quantum walks.

Harto Saarinen1,2, Mark Goldsmith1,2, Rui-Sheng Wang3

  • 1Algorithmiq Ltd, FI-00160 Helsinki, Finland.

Bioinformatics (Oxford, England)
|August 22, 2024
PubMed
Summary
This summary is machine-generated.

We introduce a novel quantum walk algorithm for disease gene prioritization, outperforming traditional methods in identifying disease-related genes. This approach leverages protein-protein interaction networks for enhanced biological discovery.

More Related Videos

In Vivo Functional Study of Disease-associated Rare Human Variants Using Drosophila
00:06

In Vivo Functional Study of Disease-associated Rare Human Variants Using Drosophila

Published on: August 20, 2019

13.6K
Navigating MARRVEL, a Web-Based Tool that Integrates Human Genomics and Model Organism Genetics Information
09:37

Navigating MARRVEL, a Web-Based Tool that Integrates Human Genomics and Model Organism Genetics Information

Published on: August 15, 2019

9.7K

Related Experiment Videos

Last Updated: Jun 15, 2025

Determining the Likelihood of Variant Pathogenicity Using Amino Acid-level Signal-to-Noise Analysis of Genetic Variation
07:15

Determining the Likelihood of Variant Pathogenicity Using Amino Acid-level Signal-to-Noise Analysis of Genetic Variation

Published on: January 16, 2019

11.0K
In Vivo Functional Study of Disease-associated Rare Human Variants Using Drosophila
00:06

In Vivo Functional Study of Disease-associated Rare Human Variants Using Drosophila

Published on: August 20, 2019

13.6K
Navigating MARRVEL, a Web-Based Tool that Integrates Human Genomics and Model Organism Genetics Information
09:37

Navigating MARRVEL, a Web-Based Tool that Integrates Human Genomics and Model Organism Genetics Information

Published on: August 15, 2019

9.7K

Area of Science:

  • Computational biology
  • Genomics
  • Bioinformatics

Background:

  • Disease gene prioritization methods identify relevant genes for diseases using seed genes.
  • Classical random walk methods are effective but quantum walk approaches remain unexplored for this task.

Purpose of the Study:

  • To propose and evaluate a novel disease gene prioritization algorithm utilizing continuous-time quantum walks.
  • To assess the performance of the quantum walk method against established gene prioritization techniques.

Main Methods:

  • Developed a new algorithm for disease gene prioritization based on continuous-time quantum walks.
  • Utilized the adjacency matrix of protein-protein interaction (PPI) networks.
  • Compared the quantum walk method with existing algorithms using cross-validation on multiple disease and PPI network datasets.
  • Evaluated performance using mean reciprocal ranks of recall and average precision.

Main Results:

  • The proposed quantum walk method demonstrated competitive or superior performance compared to several well-known gene prioritization methods.
  • Validation through enrichment analysis for coronary artery disease supported the method's predictive power.
  • The study provides a novel quantum-based approach to a significant problem in bioinformatics.

Conclusions:

  • Continuous-time quantum walks offer a promising new avenue for disease gene prioritization.
  • The developed algorithm effectively identifies biologically relevant genes, advancing the field of precision medicine.
  • The open availability of data and code facilitates further research and application.