Jove
Visualize
Contact Us

Related Concept Videos

Single Nucleotide Polymorphisms-SNPs01:05

Single Nucleotide Polymorphisms-SNPs

19.9K
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,...
19.9K
Comparing Copy Number Variations and SNPs02:26

Comparing Copy Number Variations and SNPs

19.3K
Sequencing of the human genome has opened up several best-kept secrets of the genome. Scientists have identified thousands of genome variations that exist within a population. These variations can be a single nucleotide or a larger chromosomal variation.
Copy number variations or CNVs are the structural variations that cover more than 1kb of DNA sequence. The single nucleotide polymorphism (SNP), on the other hand, is a single nucleotide change or a point mutation that is found in more than 1%...
19.3K
Genome-wide Association Studies-GWAS01:11

Genome-wide Association Studies-GWAS

16.7K
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...
16.7K
Principles of Pharmacogenetics: Types of Genetic Variants01:27

Principles of Pharmacogenetics: Types of Genetic Variants

102
The human genome is over 99.9% identical between individuals, yet genetic differences exist at millions of bases. The human genome contains approximately 3 million variant positions per individual, many of which are heterozygous, contributing to genetic diversity and individual traits. Genetic variations include single-nucleotide polymorphisms (SNPs), insertions, deletions, and copy number variations (CNVs).SNPs, the most common variation, involve single-base changes in DNA. These can be...
102
Epistasis Analysis01:09

Epistasis Analysis

6.2K
Although Mendel chose seven unrelated traits in peas to study gene segregation, most traits involve multiple gene interactions that create a spectrum of phenotypes. When the interaction of various genes or alleles at different locations influences a phenotype, this is called epistasis. Epistasis often involves one gene masking or interfering with the expression of another (antagonistic epistasis). Epistasis often occurs when different genes are part of the same biochemical pathway. The...
6.2K
Genetic Screens02:46

Genetic Screens

5.9K
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...
5.9K

You might also read

Related Articles

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

Sort by
Same author

Avoid All the Competitive Ones: Dynamics of Altruistic Behavior, Mediators, and Moderators in an Evacuation Drill.

Behavioral sciences (Basel, Switzerland)·2026
Same author

RNA activation as a precision dosing modality: MTL-CEBPA for controlled enzyme elevation in MPS I-H.

Frontiers in medicine·2026
Same author

EVscope: A Comprehensive Bioinformatics Pipeline for Accurate and Robust Analysis of Total RNA Sequencing from Extracellular Vesicles.

bioRxiv : the preprint server for biology·2025
Same author

Polygenic Risk Score and Lung Adenocarcinoma Risk Among Never-Smokers by EGFR Mutation Status: A Brief Report.

Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer·2024
Same author

Dynamic Kidney Organoid Microphysiological Analysis Platform.

bioRxiv : the preprint server for biology·2024
Same author

Nanoplasmonic Rapid Antimicrobial-Resistance Point-of-Care Identification Device: RAPIDx.

Advanced healthcare materials·2024
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 Experiment Video

Updated: Apr 6, 2026

Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry
05:53

Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry

Published on: June 21, 2018

10.8K

Jackknife-based gene-gene interactiontests for untyped SNPs.

Minsun Song1

  • 1Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, 9609 Medical Center Drive, Rockville, MD, USA. songm4@mail.nih.gov.

BMC Genetics
|July 19, 2015
PubMed
Summary

This study introduces a new statistical method for testing gene-gene interactions using imputed genotypes of untyped single nucleotide polymorphisms (SNPs). The novel approach enhances power and controls type I error, outperforming traditional methods in genetic association studies.

More Related Videos

A Method to Study the C924T Polymorphism of the Thromboxane A2 Receptor Gene
07:00

A Method to Study the C924T Polymorphism of the Thromboxane A2 Receptor Gene

Published on: April 1, 2019

10.6K
An Allele-specific Gene Expression Assay to Test the Functional Basis of Genetic Associations
10:17

An Allele-specific Gene Expression Assay to Test the Functional Basis of Genetic Associations

Published on: November 3, 2010

23.4K

Related Experiment Videos

Last Updated: Apr 6, 2026

Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry
05:53

Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry

Published on: June 21, 2018

10.8K
A Method to Study the C924T Polymorphism of the Thromboxane A2 Receptor Gene
07:00

A Method to Study the C924T Polymorphism of the Thromboxane A2 Receptor Gene

Published on: April 1, 2019

10.6K
An Allele-specific Gene Expression Assay to Test the Functional Basis of Genetic Associations
10:17

An Allele-specific Gene Expression Assay to Test the Functional Basis of Genetic Associations

Published on: November 3, 2010

23.4K

Area of Science:

  • Genetics
  • Statistical Genetics
  • Bioinformatics

Background:

  • Genome-wide association studies (GWAS) often have reduced power for gene-gene interaction testing compared to marginal association testing.
  • Meta-analysis combining diverse genotyping platforms can increase power for gene-gene interactions, but requires methods for untyped single nucleotide polymorphisms (SNPs).
  • Existing imputation methods provide marginal accuracy, posing challenges for robust gene-gene interaction analysis of untyped SNPs.

Purpose of the Study:

  • To develop and validate a novel statistical method for testing gene-gene interactions on marginally imputed values of untyped SNPs.
  • To address the limitations of current methods in handling gene-gene interaction tests for untyped SNPs in GWAS.
  • To improve statistical power and accuracy in detecting gene-gene interactions, particularly when dealing with imputed data.

Main Methods:

  • Developed novel Wald-type test statistics for gene-gene interactions involving untyped SNPs.
  • Utilized a jackknife variance estimator to correct for imputation uncertainty, enhancing statistical power.
  • Applied resampling techniques to ensure accurate asymptotic distributions for the proposed test statistics.
  • Evaluated the method's performance through extensive simulation studies and real-world lung cancer data analysis.

Main Results:

  • The proposed Wald-type test statistics for gene-gene interactions on imputed untyped SNPs follow established asymptotic distributions.
  • Simulation results demonstrate that the novel tests effectively control type I error rates.
  • The new method exhibits significantly higher statistical power compared to extensions of the classical dosage method for interaction tests.
  • Application to lung cancer data revealed detailed interaction information in regions with untyped SNPs on chromosomes 5 and 15.

Conclusions:

  • The developed statistical approaches provide a powerful and reliable means for detecting gene-gene interactions involving untyped SNPs.
  • These methods outperform traditional dosage-based methods in terms of statistical power while maintaining control over type I error.
  • The findings offer a significant advancement for gene-gene interaction analysis in GWAS, especially when utilizing imputed genetic data.