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 Screens02:46

Genetic Screens

Genetic screens are tools used to identify genes and mutations responsible for phenotypes of interest. Genetic screens help identify individuals or a group of people at risk of developing  genetic diseases and help them with early intervention, targeted therapy, and reproductive options.
Forward genetic screens
Forward or “classical” genetic screens involve creating random mutations in an organism’s DNA using radiation, mutagens, or insertion of additional bases, which result in visible changes...
DNA Microarrays02:34

DNA Microarrays

Microarrays are high-throughput and relatively inexpensive assays that can be automated to analyze large quantities of data at a time. They are used in genome-wide studies to compare gene or protein expression under two varied conditions, such as healthy and diseased states. Microarrays consist of glass or silica slides on which probe molecules are covalently attached through surface functionalization. Most commonly, the slides are prepared through the chemisorption of silanes to silica...

You might also read

Related Articles

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

Sort by
Same author

Estimating genetic parameters of egg production in three local Tanzanian chicken ecotypes.

Poultry science·2026
Same author

Review: Feed efficiency and metabolic flexibility in livestock.

Animal : an international journal of animal bioscience·2024
Same author

GWAS and genetic and phenotypic correlations of plasma metabolites with complete blood count traits in healthy young pigs reveal implications for pig immune response.

Frontiers in molecular biosciences·2023
Same author

Heritability and genetic correlations of plasma metabolites of pigs with production, resilience and carcass traits under natural polymicrobial disease challenge.

Scientific reports·2021
Same author

Accuracy of genomic prediction of shell quality in a White Leghorn line.

Poultry science·2020
Same author

Vaginal microbiota diverges in sows with low and high reproductive performance after porcine reproductive and respiratory syndrome vaccination.

Scientific reports·2020
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: Jun 24, 2026

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

Genomic selection using low-density marker panels.

D Habier1, R L Fernando, J C M Dekkers

  • 1Institute of Animal Breeding and Husbandry, Christian-Albrechts University of Kiel, Kiel, Germany. dhabier@tierzucht.uni-kiel.de

Genetics
|March 21, 2009
PubMed
Summary
This summary is machine-generated.

Genomic selection (GS) using low-density SNP panels offers a cost-effective alternative to high-density genotyping. Evenly spaced SNP panels provide a robust and broadly applicable method for improving selection response in artificial selection programs.

More Related Videos

Integration of Wet and Dry Bench Processes Optimizes Targeted Next-generation Sequencing of Low-quality and Low-quantity Tumor Biopsies
13:24

Integration of Wet and Dry Bench Processes Optimizes Targeted Next-generation Sequencing of Low-quality and Low-quantity Tumor Biopsies

Published on: April 11, 2016

Related Experiment Videos

Last Updated: Jun 24, 2026

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

Integration of Wet and Dry Bench Processes Optimizes Targeted Next-generation Sequencing of Low-quality and Low-quantity Tumor Biopsies
13:24

Integration of Wet and Dry Bench Processes Optimizes Targeted Next-generation Sequencing of Low-quality and Low-quantity Tumor Biopsies

Published on: April 11, 2016

Area of Science:

  • Animal Breeding and Genetics
  • Quantitative Genetics
  • Genomics

Background:

  • Genomic selection (GS) with high-density single-nucleotide polymorphisms (SNPs) enhances selection response in artificial selection.
  • High-density SNP genotyping for all candidates is often cost-prohibitive.
  • Existing low-density SNP panels may require trait- and population-specific marker sets.

Purpose of the Study:

  • To evaluate the accuracy of genome-assisted breeding values estimated using low-density SNP panels.
  • To compare the performance of evenly spaced versus selected SNP panels for genomic selection.
  • To propose an alternative GS approach using widely applicable, evenly spaced SNP panels.

Main Methods:

  • Simulations were employed to assess the loss of accuracy in estimated breeding values.
  • Compared high-density SNP panels with low-density, evenly spaced, and selected SNP panels.
  • Utilized Bayesian analysis and forward stepwise selection for SNP selection strategies.

Main Results:

  • Evenly spaced SNP panels showed minimal accuracy loss, independent of the number of quantitative trait loci (QTL).
  • Selected SNP panels exhibited increased accuracy loss with a higher number of QTL.
  • Accuracy loss with evenly spaced SNPs was constant when selected individuals were high-density genotyped.

Conclusions:

  • Evenly spaced low-density SNP panels are a cost-effective and broadly applicable alternative for genomic selection in pedigreed populations.
  • These panels offer consistent performance across traits, populations, and QTL numbers.
  • The proposed method leverages cosegregation information for efficient genome-assisted breeding value estimation.