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

Pleiotropy01:33

Pleiotropy

44.1K
Pleiotropy is the phenomenon in which a single gene impacts multiple, seemingly unrelated phenotypic traits. For example, defects in the SOX10 gene cause Waardenburg Syndrome Type 4, or WS4, which can cause defects in pigmentation, hearing impairments, and an absence of intestinal contractions necessary for elimination. This diversity of phenotypes results from the expression pattern of SOX10 in early embryonic and fetal development. SOX10 is found in neural crest cells that form melanocytes,...
44.1K
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
Multiple Allele Traits01:49

Multiple Allele Traits

38.9K
The Concept of Multiple Allelism
38.9K
Multiple Allele Traits01:49

Multiple Allele Traits

15.1K
15.1K
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
Pedigree Analysis01:35

Pedigree Analysis

91.1K
Overview
91.1K

You might also read

Related Articles

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

Sort by
Same author

Implementation of a medical genomics program for rare diseases in Uruguay.

Orphanet journal of rare diseases·2026
Same author

THE COMPARATIVE EFFECTIVENESS OF INPATIENT VERSUS SKILLED NURSING FACILITY REHABILITATION USING LINKED ACUTE STROKE REGISTRY DATA.

Archives of physical medicine and rehabilitation·2026
Same author

Development of an Ultrahigh-Performance Liquid Chromatography-Triple Quadrupole Mass Spectrometry Method for Multiclass Phytohormone Quantification Via Multifunctional Chemical Derivatization.

Journal of agricultural and food chemistry·2026
Same author

Timing of pregnancy losses in grazing lactating dairy cows based on cervical interferon-stimulated gene-15 mRNA, pregnancy-associated glycoproteins, and progesterone dynamics: an exploratory study.

Journal of dairy science·2026
Same author

The shared genomic history of Middle- to Late-Holocene populations from the Southern Cone of South America.

Current biology : CB·2026
Same author

Infant subcortical brain volumes associated with maternal obesity and diabetes: a large multicohort human study.

BMC medicine·2026
Same journal

Adaptive Dynamics of Quantitative Traits in a Steadily Changing Environment.

Genetics·2026
Same journal

Functional Landscape of Zebrafish Gonadotropins and Receptors: A Comprehensive Genetic Analysis.

Genetics·2026
Same journal

Synergistic actions of Nup43 and Myosin VI drive actin cone assembly during Drosophila spermiogenesis.

Genetics·2026
Same journal

Identification of two Cryptococcus neoformans heme transporters involved in Fhb1-mediated nitrosative stress protection in a fission yeast model.

Genetics·2026
Same journal

Analysis of a hypomorphic mei-P26 mutation reveals coordination between developmental programming of germ cells and meiotic chromosome dynamics.

Genetics·2026
Same journal

Neural and Genetic Mechanisms Regulating Copulation Latency in Male Drosophila melanogaster.

Genetics·2026
See all related articles

Related Experiment Video

Updated: Apr 6, 2026

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

10.6K

Do Molecular Markers Inform About Pleiotropy?

Daniel Gianola1, Gustavo de los Campos2, Miguel A Toro3

  • 1Departments of Animal Sciences, Dairy Science, and Biostatistics and Medical Informatics, University of Wisconsin-Madison, Wisconsin 53706 Department of Plant Breeding, Technical University of Munich, Center for Life and Food Sciences, D-85354 Freising-Weihenstephan, Germany Institute of Advanced Study, Technical University of Munich, D-85748 Garching, Germany gianola@ansci.wisc.edu.

Genetics
|July 25, 2015
PubMed
Summary
This summary is machine-generated.

Whole-genome regressions (WGRs) analyze genetic correlations between traits. However, marker-inferred correlations may distort true genetic links, especially without knowing linkage disequilibrium, making pleiotropy speculation unreliable.

Keywords:
genetic correlationgenomic correlationgenomic heritabilitylinkage disequilibriumpleiotropy

More Related Videos

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
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

Related Experiment Videos

Last Updated: Apr 6, 2026

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

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
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

Area of Science:

  • Genetics
  • Biostatistics
  • Genomic Epidemiology

Background:

  • Dense panels of genetic variants enable studying complex trait and disease architecture using whole-genome regressions (WGRs).
  • WGRs have evolved from single-trait to multi-trait analyses, aiming to uncover shared genetic mechanisms like pleiotropy.

Purpose of the Study:

  • To evaluate the accuracy of genetic correlation estimates derived from WGRs.
  • To investigate the reliability of inferring pleiotropy and other genetic causes of trait association using genomic data.

Main Methods:

  • Statistical analysis of genetic data using whole-genome regressions (WGRs).
  • Examination of correlation parameters inferred from single-nucleotide polymorphisms and sequence variants.
  • Assessment of the impact of linkage disequilibrium on genetic correlation estimates.

Main Results:

  • Correlation parameters estimated using genomic markers can provide a misleading representation of true genetic correlations between traits.
  • The interpretation of genetic correlation and its underlying causes, such as pleiotropy, is speculative without accounting for linkage disequilibrium.

Conclusions:

  • Current WGR methods may oversimplify or misrepresent genetic correlations between complex traits.
  • Caution is advised when inferring biological mechanisms like pleiotropy solely from genomic marker data without considering linkage disequilibrium.