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

Single Nucleotide Polymorphisms-SNPs01:05

Single Nucleotide Polymorphisms-SNPs

14.6K
A single nucleotide polymorphism or SNP is a single nucleotide variation at a specific genomic position in a large population. It is the most prevalent type of sequence variation found in the human genome. Point mutations that occur in more than 1% of the population qualify as SNPs. These are present once every 1000 nucleotides on an average in the human genome. Replacement of a purine with another purine (A/G) or a pyrimidine with another pyrimidine (C/T) is known as a transition. In contrast,...
14.6K
Incomplete Dominance01:43

Incomplete Dominance

19.0K
Gregor Mendel's work (1822 - 1884) was primarily focused on pea plants. Through his initial experiments, he determined that every gene in a diploid cell has two variants called alleles inherited from each parent. He suggested that amongst these two alleles, one allele is dominant in character and the other recessive. The combination of alleles determines the phenotype of a gene in an organism.
19.0K
Comparing Copy Number Variations and SNPs02:26

Comparing Copy Number Variations and SNPs

11.6K
Sequencing of the human genome has opened up several best-kept secrets of the genome. Scientists have identified thousands of genome variations that exist within a population. These variations can be a single nucleotide or a larger chromosomal variation.
Copy number variations or CNVs are the structural variations that cover more than 1kb of DNA sequence. The single nucleotide polymorphism (SNP), on the other hand, is a single nucleotide change or a point mutation that is found in more than 1%...
11.6K
Pharmacogenomics: Identification of New Drug Targets01:29

Pharmacogenomics: Identification of New Drug Targets

121
Advances in genomics have profoundly influenced drug discovery by increasing both the speed and accuracy of pharmaceutical development. Pharmacogenomics, which examines how genetic variation influences drug response, facilitates the identification of novel therapeutic targets and enables patient stratification for personalized treatment. These strategies contribute to improved drug efficacy, minimized adverse effects, and more efficient clinical trial design.Mapping genetic differences...
121
Principles of Pharmacogenetics: Types of Genetic Variants01:27

Principles of Pharmacogenetics: Types of Genetic Variants

138
The human genome is over 99.9% identical between individuals, yet genetic differences exist at millions of bases. The human genome contains approximately 3 million variant positions per individual, many of which are heterozygous, contributing to genetic diversity and individual traits. Genetic variations include single-nucleotide polymorphisms (SNPs), insertions, deletions, and copy number variations (CNVs).SNPs, the most common variation, involve single-base changes in DNA. These can be...
138
Test Cross01:39

Test Cross

1.8K
1.8K

You might also read

Related Articles

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

Sort by
Same author

Interleukin-6 is critical in the development of pulmonary vascular disease in <i>Gcn2-</i>deficient mice.

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

ADAR2-Mediated RNA Editing Promotes TDP-43 Nuclear Export and Alters RNA Binding.

bioRxiv : the preprint server for biology·2026
Same author

Gestational Vitamin and Mineral Supplementation in F0 Beef Heifers: Impacts on F1 Heifer Nutrient Digestibility, Metabolic Balance, and F1 Dam and F2 Fetus Development.

Journal of animal science·2026
Same author

An emergent disease-associated motor neuron state precedes cell death in ALS.

Cell·2026
Same author

Seasonal metabolic and growth responses of grazing beef heifers divergent in residual feed intake.

PloS one·2026
Same author

Laboratory tests for bovine respiratory bacteria and antimicrobial resistance in commercial feedlot cattle: comparing culture, long-read metagenomics, and recombinase polymerase amplification.

Frontiers in microbiology·2026

Related Experiment Video

Updated: May 3, 2026

Shifting Zebrafish Lethal Skeletal Mutant Penetrance by Progeny Testing
08:39

Shifting Zebrafish Lethal Skeletal Mutant Penetrance by Progeny Testing

Published on: September 1, 2017

7.3K

Single nucleotide polymorphisms for feed efficiency and performance in crossbred beef cattle.

Mohammed K Abo-Ismail, Gordon Vander Voort, James J Squires

  • 1Centre for Genetic Improvement of Livestock, Department of Animal and Poultry Science, University of Guelph, Guelph, Ontario N1G 2W0, Canada. miller@uoguelph.ca.

BMC Genetics
|January 31, 2014
PubMed
Summary
This summary is machine-generated.

This study identified new single nucleotide polymorphisms (SNPs) associated with residual feed intake (RFI) in cattle, explaining 26% of genetic variance and highlighting candidate genes for improving feed efficiency.

More Related Videos

A Method to Study the C924T Polymorphism of the Thromboxane A2 Receptor Gene
07:00

A Method to Study the C924T Polymorphism of the Thromboxane A2 Receptor Gene

Published on: April 1, 2019

11.7K
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

9.2K

Related Experiment Videos

Last Updated: May 3, 2026

Shifting Zebrafish Lethal Skeletal Mutant Penetrance by Progeny Testing
08:39

Shifting Zebrafish Lethal Skeletal Mutant Penetrance by Progeny Testing

Published on: September 1, 2017

7.3K
A Method to Study the C924T Polymorphism of the Thromboxane A2 Receptor Gene
07:00

A Method to Study the C924T Polymorphism of the Thromboxane A2 Receptor Gene

Published on: April 1, 2019

11.7K
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

9.2K

Area of Science:

  • Animal Genetics
  • Quantitative Genetics
  • Genomic Selection

Background:

  • Genome-wide association studies (GWAS) identified candidate genes for residual feed intake (RFI) and performance traits.
  • Understanding genetic variation is crucial for improving feed efficiency in livestock.

Purpose of the Study:

  • Identify novel single nucleotide polymorphisms (SNPs) within candidate genes for RFI and performance traits.
  • Assess the proportion of RFI variation explained by identified SNPs.
  • Evaluate SNP effects on carcass traits to prevent negative correlations with feed efficiency selection.
  • Map associated genes to biological pathways for mechanistic insights.

Main Methods:

  • Tested 339 SNPs from 180 genes for association with RFI and carcass traits using single locus regression and genotypic models.
  • Analyzed data from 726 animals for feed efficiency and 990 for carcass traits.
  • Performed in silico functional analysis to identify biological processes and pathways.

Main Results:

  • Identified significant SNP associations with RFI on chromosomes 8, 15, 16, 18, 19, 21, and 28.
  • The strongest RFI association (P = 0.0017) was with a novel SNP in the ELP3 gene on BTA 8.
  • Ninety-eight significant SNPs explained 26% of the genetic variance for RFI.
  • Genomic estimated breeding values (GEBV) from significant SNPs showed moderate correlation (0.47) with estimated breeding values (EBVs).

Conclusions:

  • Identified positional and functional candidate genes linked to feed efficiency and performance traits.
  • The identified significant SNPs require validation in diverse populations for potential use in genetic improvement programs.