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

Epistasis Analysis01:09

Epistasis Analysis

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...
Multiple Allele Traits01:49

Multiple Allele Traits

The Concept of Multiple Allelism
Multiple Allele Traits01:49

Multiple Allele Traits

The Concept of Multiple Allelism
Behavioral Genetics and Its Designs01:23

Behavioral Genetics and Its Designs

Behavior genetics explores how genetic inheritance influences human behavior. It focuses on how genes, passed from parents to offspring, contribute to the development of behavioral traits and tendencies. This branch of genetics seeks to understand the complex interplay between inherited genetic factors and environmental influences in shaping our behaviors.
The primary methodologies used in behavior genetics include family studies, twin studies, and adoption studies, each providing unique...
Pleiotropy01:33

Pleiotropy

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,...
Polygenic Traits01:18

Polygenic Traits

When more than one gene is responsible for a given phenotype, the trait is considered polygenic. Human height is a polygenic trait. Studies have uncovered hundreds of loci that influence height, and there are believed to be many more. Due to the high number of genes involved, as well as environmental and nutritional factors, height varies significantly within a given population. The distribution of height forms a bell-shaped curve, with relatively few individuals in the population at the...

You might also read

Related Articles

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

Sort by
Same author

Metabolic-BMI phenotypes as nutritional risk indicators for osteoarthritis: evidence from a prospective cohort of UK adults.

Frontiers in nutrition·2025
Same author

SFTSV NSs Sequesters the Complex of SFTSV NP-SAFA to Suppress SAFA Mediated Immune Response.

Journal of medical virology·2025
Same author

Theoretical insights into nanoparticle interfaces as dual carrier-reactors: Catalytic amplification of methylsiloxane oxidation and secondary organic aerosol formation.

Journal of hazardous materials·2025
Same author

Complex evolution of East Asian Tertiary relict species revealed by the phylogeography of Lindera obtusiloba.

BMC plant biology·2025
Same author

ptmK: A computationally efficient toolkit for high-throughput lysine PTM modeling in proteins.

Biophysical journal·2025
Same author

Comparing radiomics, deep learning, and fusion models for predicting occult pleural dissemination in patients with non-small cell lung cancer: a retrospective multicenter study.

BMC cancer·2025
Same journal

Invaders taking over-Mollusc faunal change in volcanic barrier lakes of the Albertine Rift biodiversity hotspot.

PloS one·2026
Same journal

AI-driven molecular diversification and ligand-based optimization of macitentan derivatives targeting VEGFR1 and endothelin signaling pathways.

PloS one·2026
Same journal

Performance patterns and records in the world aquatics masters championships: Where do the most frequently represented nations among the top-ten masters swimmers come from?

PloS one·2026
Same journal

Modeling diurnal Temperature-Rainfall relationships under multicollinearity using PLS-SEM: A case study of Ghana.

PloS one·2026
Same journal

Organizational culture, social capital, and emergency capacity in primary healthcare institutions: A cross-sectional structural equation modeling study comparing ordinary and older communities.

PloS one·2026
Same journal

Impact of kidney function on the metabolome in the general population.

PloS one·2026
See all related articles

Related Experiment Video

Updated: Jun 5, 2026

Why Quantification Matters: Characterization of Phenotypes at the Drosophila Larval Neuromuscular Junction
10:41

Why Quantification Matters: Characterization of Phenotypes at the Drosophila Larval Neuromuscular Junction

Published on: May 12, 2016

Expression QTL modules as functional components underlying higher-order phenotypes.

Lei Bao1, Xuefeng Xia, Yan Cui

  • 1Department of Molecular Sciences, University of Tennessee Health Science Center, Memphis, Tennessee, United States of America. lebao@ucsd.edu

Plos One
|December 24, 2010
PubMed
Summary
This summary is machine-generated.

Systems genetics reveals modular organization in gene expression networks. These expression quantitative trait loci (eQTL) modules are functionally coherent and linked to physiological traits, suggesting they act as key functional units.

More Related Videos

A Quantitative Fitness Analysis Workflow
11:39

A Quantitative Fitness Analysis Workflow

Published on: August 13, 2012

Related Experiment Videos

Last Updated: Jun 5, 2026

Why Quantification Matters: Characterization of Phenotypes at the Drosophila Larval Neuromuscular Junction
10:41

Why Quantification Matters: Characterization of Phenotypes at the Drosophila Larval Neuromuscular Junction

Published on: May 12, 2016

A Quantitative Fitness Analysis Workflow
11:39

A Quantitative Fitness Analysis Workflow

Published on: August 13, 2012

Area of Science:

  • Systems genetics
  • Network biology
  • Genomics

Background:

  • Systems genetics studies map regulatory relationships between genetic loci and expression traits, forming complex bipartite networks.
  • Modular network structures are hypothesized to arise from pleiotropic and polygenic regulation of gene expression.

Purpose of the Study:

  • To analyze expression quantitative trait loci (eQTL) networks in yeast and mouse liver to identify modular organizations.
  • To investigate the functional coherence and biological significance of identified eQTL modules.

Main Methods:

  • Analysis of eQTL networks derived from expression genetic data in yeast and mouse liver.
  • Computer simulations to assess the statistical significance of observed modules against randomized networks.
  • Assessment of within-module functional coherence and genetic overlaps with physiological phenotypes.

Main Results:

  • Identified 65 modules in yeast and 98 modules in mouse liver eQTL networks.
  • Modules were significantly enriched compared to randomized networks with similar properties.
  • Demonstrated significant functional coherence within modules and linked modules to physiological phenotypes via genetic overlaps.

Conclusions:

  • eQTL modules represent statistically significant and functionally coherent units within gene regulatory networks.
  • These modules are likely to play a crucial role as functional units underlying complex physiological phenotypes.