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

Multiple Allele Traits01:49

Multiple Allele Traits

The Concept of Multiple Allelism
Multiple Allele Traits01:49

Multiple Allele Traits

The Concept of Multiple Allelism
Multiple Comparison Tests01:13

Multiple Comparison Tests

Multiple comparison test, abbreviated as MCT, is a post hoc analysis generally performed after comparing multiple samples with one or more tests. An MCT will help identify a significantly different sample among multiple samples or a factor among multiple factors.
It would be easy to compare two samples using a significance alpha level of 0.05. In other words, there is only one sample pair to be compared. However, it would be difficult to identify a significantly different sample if the number...
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

Genomic and Behavioral Signatures of Selection for Ethanol Preference from the Heterogeneous Stock Collaborative Cross Mice - The Central Nucleus of the Amygdala.

Addiction neuroscience·2025
Same author

Pre-existing DNA methylation signatures in the prefrontal cortex of alcohol-naïve nonhuman primates define neural vulnerability for future risky ethanol consumption.

Neurobiology of disease·2025
Same author

A systematic review and meta-analysis on the transcriptomic signatures in alcohol use disorder.

Molecular psychiatry·2024
Same author

Effects of repeated alcohol abstinence on within-subject prefrontal cortical gene expression in rhesus macaques.

Advances in drug and alcohol research·2024
Same author

Modeling Brain Gene Expression in Alcohol Use Disorder with Genetic Animal Models.

Current topics in behavioral neurosciences·2023
Same author

Brain gene expression differences related to ethanol preference in the collaborative cross founder strains.

Frontiers in behavioral neuroscience·2022

Related Experiment Video

Updated: Jul 18, 2026

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

Further studies on using multiple-cross mapping (MCM) to map quantitative trait loci.

Barry Malmanger1, Maureen Lawler, Shannon Coulombe

  • 1Department of Behavioral Neuroscience, Oregon Health & Science University, Portland, Oregon 97239-3098, USA.

Mammalian Genome : Official Journal of the International Mammalian Genome Society
|December 5, 2006
PubMed
Summary

Researchers mapped quantitative trait loci (QTLs) for alcohol response in mice. While most QTLs were cross-specific, one on chromosome 1 was consistently found, highlighting the value of multiple-cross mapping (MCM) and heterogeneous stock (HS) analysis for 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

Related Experiment Videos

Last Updated: Jul 18, 2026

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

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

Area of Science:

  • Genetics
  • Neuroscience
  • Pharmacology

Background:

  • Quantitative trait loci (QTLs) are crucial for understanding complex traits like alcohol response.
  • The laboratory mouse genome offers a model for genetic mapping due to its relatively simple structure.
  • Multiple-cross mapping (MCM) is a strategy to identify conserved QTLs across different genetic backgrounds.

Purpose of the Study:

  • To identify QTLs associated with acute ethanol-induced activation using multiple F(2) intercrosses.
  • To test the hypothesis that conserved QTLs can be detected across multiple crosses.
  • To evaluate the utility of heterogeneous stock (HS) animals for high-resolution QTL mapping.

Main Methods:

  • Whole-genome scans were performed on six F(2) intercrosses derived from C57BL/6J, DBA/2J, BALB/cJ, and LP/J inbred mouse strains.
  • QTLs were identified based on LOD scores greater than 4.
  • Fine-mapping of a specific QTL was conducted in HS animals.

Main Results:

  • QTLs associated with ethanol response were detected on chromosomes 1, 2, 3, 8, 9, 13, 14, and 16.
  • Conserved QTLs were primarily observed on distal chromosome 1 across multiple crosses.
  • High-resolution mapping in HS animals localized a chromosome 2 QTL to a 3-Mbp interval with a specific haplotype structure (B6-L:C-D2).

Conclusions:

  • The study provides evidence that while some QTLs are cross-specific, conserved QTLs can be identified using MCM.
  • Mapping in HS animals offers enhanced QTL resolution and detailed haplotype information.
  • This approach advances the understanding of the genetic architecture of alcohol response.