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

Genetic Lingo01:11

Genetic Lingo

Overview
Punnett Squares01:00

Punnett Squares

Overview
Dihybrid Crosses01:18

Dihybrid Crosses

Overview
Pedigree Analysis01:35

Pedigree Analysis

Overview
Pedigree Analysis01:35

Pedigree Analysis

Overview
Genome-wide Association Studies-GWAS01:11

Genome-wide Association Studies-GWAS

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...

You might also read

Related Articles

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

Sort by
Same author

Author Correction: Genome-wide association and epidemiological analyses reveal common genetic origins between uterine leiomyomata and endometriosis.

Nature communications·2022
Same author

Observation of WWW Production in pp Collisions at sqrt[s]=13  TeV with the ATLAS Detector.

Physical review letters·2022
Same author

Search for Lepton-Flavor Violation in Z-Boson Decays with τ Leptons with the ATLAS Detector.

Physical review letters·2022
Same author

Search for New Phenomena in Final States with Two Leptons and One or No b-Tagged Jets at sqrt[s]=13  TeV Using the ATLAS Detector.

Physical review letters·2021
Same author

Search for Displaced Leptons in sqrt[s]=13  TeV pp Collisions with the ATLAS Detector.

Physical review letters·2021
Same author

Longitudinal Flow Decorrelations in Xe+Xe Collisions at sqrt[s_{NN}]=5.44  TeV with the ATLAS Detector.

Physical review letters·2021

Related Experiment Video

Updated: Jul 10, 2026

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

Using information from both parents when testing for association between marker and disease loci

J C Whittaker1, A P Morris, R N Curnow

  • 1Department of Applied Statistics, University of Reading, UK. j.c.whittaker@reading.ac.uk

Genetic Epidemiology
|April 29, 1998
PubMed
Summary

The transmission/disequilibrium test (TDT) can now analyze multi-allelic markers more powerfully. This new method allows simultaneous analysis of both parents, simplifying genetic studies.

More Related Videos

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

Large-Scale Multi-Omics Genome-Wide Association Studies (Mo-GWAS): Guidelines for Sample Preparation and Normalization
08:27

Large-Scale Multi-Omics Genome-Wide Association Studies (Mo-GWAS): Guidelines for Sample Preparation and Normalization

Published on: July 27, 2021

Related Experiment Videos

Last Updated: Jul 10, 2026

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

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

Large-Scale Multi-Omics Genome-Wide Association Studies (Mo-GWAS): Guidelines for Sample Preparation and Normalization
08:27

Large-Scale Multi-Omics Genome-Wide Association Studies (Mo-GWAS): Guidelines for Sample Preparation and Normalization

Published on: July 27, 2021

Area of Science:

  • Genetics
  • Statistical Genetics
  • Population Genetics

Background:

  • The transmission/disequilibrium test (TDT) is a powerful tool for linkage analysis and association studies.
  • Existing extensions of the TDT for multi-allelic markers often require separate analyses for male and female parents.
  • This separation reduces statistical power and complicates the interpretation of results due to non-independent parental transmission patterns.

Purpose of the Study:

  • To demonstrate that the non-independence of parental transmission patterns is asymptotically irrelevant for the allelic TDT.
  • To enable simultaneous analysis of data from both male and female parents in TDT studies.
  • To enhance the power and simplify the interpretation of TDT for multi-allelic markers.

Main Methods:

  • Utilized the allelic transmission/disequilibrium test (TDT) as proposed by Bickeböller and Clerget-Darpoux (1995).
  • Theoretically demonstrated the asymptotic irrelevance of non-independent parental transmission patterns.
  • Applied the method to analyze multi-allelic marker data from both parents simultaneously.

Main Results:

  • The allelic TDT allows for the simultaneous analysis of data from both parents.
  • The non-independence of parental transmission patterns does not asymptotically affect the test results.
  • This approach enhances the power and simplifies the interpretation of TDT for multi-allelic markers.

Conclusions:

  • The allelic TDT provides a unified and more powerful approach for analyzing multi-allelic markers.
  • Simultaneous analysis of both parents is feasible and advantageous, overcoming limitations of previous methods.
  • This advancement simplifies genetic association studies and linkage analysis.