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...
Pharmacodynamic Models: Linear Concentration–Effect Model01:15

Pharmacodynamic Models: Linear Concentration–Effect Model

The linear concentration–effect model, underpinned by the principle that pharmacological effect (E) is directly proportional to plasma drug concentration (C), emerges as a pivotal simplification of the Emax model for conditions where C is significantly less than EC50. This model portrays a linear trajectory of the concentration–effect relationship when drug levels are markedly below the EC50 threshold.Despite its inherent assumption of continuous effect augmentation with increasing drug...
One-Compartment Open Model: Wagner-Nelson and Loo Riegelman Method for ka Estimation01:24

One-Compartment Open Model: Wagner-Nelson and Loo Riegelman Method for ka Estimation

This lesson introduces two critical methods in pharmacokinetics, the Wagner-Nelson and Loo-Riegelman methods, used for estimating the absorption rate constant (ka) for drugs administered via non-intravenous routes. The Wagner-Nelson method relates ka to the plasma concentration derived from the slope of a semilog percent unabsorbed time plot. However, it is limited to drugs with one-compartment kinetics and can be impacted by factors like gastrointestinal motility or enzymatic degradation.
On...

You might also read

Related Articles

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

Sort by
Same author

Pancreatic islet α cell function and proliferation require the arginine transporter SLC7A2.

The Journal of clinical investigation·2026
Same author

Targeting Cancer Cachexia: A Mechanistic Evaluation of Anti-GDF-15 Antibody-Based Combination Therapies.

Journal of cachexia, sarcopenia and muscle·2026
Same author

Proinsulin regulators identified with CRISPR screen and in vivo mouse QTL mapping.

Nature communications·2026
Same author

Distinct genetic architecture of gene and isoform level QTL in the Diversity Outbred (DO) mouse population.

bioRxiv : the preprint server for biology·2026
Same author

Restriction of Individual Branched-Chain Amino Acids has Distinct Effects on the Development and Progression of Alzheimer's Disease in 3xTg Mice.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)·2026
Same author

Mammals that can develop type 2 diabetes have a similarly structured β-sheet amyloid oligomer.

Proceedings of the National Academy of Sciences of the United States of America·2026

Related Experiment Video

Updated: Jun 6, 2026

QTL Mapping and CRISPR/Cas9 Editing to Identify a Drug Resistance Gene in Toxoplasma gondii
11:37

QTL Mapping and CRISPR/Cas9 Editing to Identify a Drug Resistance Gene in Toxoplasma gondii

Published on: June 22, 2017

A model selection approach for expression quantitative trait loci (eQTL) mapping.

Ping Wang1, John A Dawson, Mark P Keller

  • 1Department of Statistics, University of Wisconsin, Madison, Wisconsin 53726, USA.

Genetics
|December 1, 2010
PubMed
Summary
This summary is machine-generated.

This study introduces an automated method for identifying multiple expression quantitative trait loci (eQTL), including those with moderate effects and interactions, advancing genetic studies of complex traits.

More Related Videos

Mapping Bacterial Functional Networks and Pathways in Escherichia Coli using Synthetic Genetic Arrays
14:06

Mapping Bacterial Functional Networks and Pathways in Escherichia Coli using Synthetic Genetic Arrays

Published on: November 12, 2012

Three Differential Expression Analysis Methods for RNA Sequencing: limma, EdgeR, DESeq2
10:10

Three Differential Expression Analysis Methods for RNA Sequencing: limma, EdgeR, DESeq2

Published on: September 18, 2021

Related Experiment Videos

Last Updated: Jun 6, 2026

QTL Mapping and CRISPR/Cas9 Editing to Identify a Drug Resistance Gene in Toxoplasma gondii
11:37

QTL Mapping and CRISPR/Cas9 Editing to Identify a Drug Resistance Gene in Toxoplasma gondii

Published on: June 22, 2017

Mapping Bacterial Functional Networks and Pathways in Escherichia Coli using Synthetic Genetic Arrays
14:06

Mapping Bacterial Functional Networks and Pathways in Escherichia Coli using Synthetic Genetic Arrays

Published on: November 12, 2012

Three Differential Expression Analysis Methods for RNA Sequencing: limma, EdgeR, DESeq2
10:10

Three Differential Expression Analysis Methods for RNA Sequencing: limma, EdgeR, DESeq2

Published on: September 18, 2021

Area of Science:

  • Genetics
  • Bioinformatics
  • Systems Biology

Background:

  • Identifying the genetic basis of complex traits is challenging.
  • Existing quantitative trait loci (QTL) mapping methods are limited for high-throughput phenotypes.
  • Current expression QTL (eQTL) methods do not account for interactions or moderate effect sizes.

Purpose of the Study:

  • To develop an automated, model-selection-based approach for identifying multiple eQTL.
  • To enable the detection of eQTL with moderate effects and interactions.
  • To facilitate the identification of coregulated transcripts.

Main Methods:

  • Developed an automated model-selection approach for eQTL mapping.
  • The method allows for the identification of multiple eQTL simultaneously.
  • Applied the approach to experimental populations.

Main Results:

  • The automated method successfully identifies multiple eQTL, including those of moderate effect.
  • The approach accounts for interactions between eQTL.
  • Demonstrated utility in identifying coregulated transcripts in a mouse diabetes study.

Conclusions:

  • The proposed automated method overcomes limitations of existing eQTL mapping techniques.
  • This approach enhances the ability to uncover the genetic architecture of complex traits.
  • Facilitates discovery of gene regulatory networks and their role in disease.