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

Next-generation Sequencing03:00

Next-generation Sequencing

100.1K
The first human genome sequencing project cost $2.7 billion and was declared complete in 2003, after 15 years of international cooperation and collaboration between several research teams and funding agencies. Today, with the advent of next-generation sequencing technologies, the cost and time of sequencing a human genome have dropped over 100 fold.
Next-Generation Sequencing Methods
Although all next-generation methods use different technologies, they all share a set of standard features....
100.1K
Evolutionary Relationships through Genome Comparisons02:54

Evolutionary Relationships through Genome Comparisons

7.1K
Genome comparison is one of the excellent ways to interpret the evolutionary relationships between organisms. The basic principle of genome comparison is that if two species share a common feature, it is likely encoded by the DNA sequence conserved between both species. The advent of genome sequencing technologies in the late 20th century enabled scientists to understand the concept of conservation of domains between species and helped them to deduce evolutionary relationships across diverse...
7.1K

You might also read

Related Articles

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

Sort by
Same author

Impact of Estimating Genetic Variance in the Target Group on Reliability Metrics of the Linear Regression Validation Method Under Selection.

Journal of animal breeding and genetics = Zeitschrift fur Tierzuchtung und Zuchtungsbiologie·2026
Same author

THE COMPARATIVE EFFECTIVENESS OF INPATIENT VERSUS SKILLED NURSING FACILITY REHABILITATION USING LINKED ACUTE STROKE REGISTRY DATA.

Archives of physical medicine and rehabilitation·2026
Same author

Infant subcortical brain volumes associated with maternal obesity and diabetes: a large multicohort human study.

BMC medicine·2026
Same author

Methods for joint genetic prediction of multiple ordinal categorical and continuous traits.

Genetics·2026
Same author

Structural Equation Modeling of Genetic and Residual Covariance Matrices for Multiple-Trait Evaluation in Beef Cattle.

Animals : an open access journal from MDPI·2026
Same author

Genomes to fields 2024 maize genotype by environment prediction competition.

BMC research notes·2026

Related Experiment Video

Updated: Mar 11, 2026

Rare Event Detection Using Error-corrected DNA and RNA Sequencing
10:36

Rare Event Detection Using Error-corrected DNA and RNA Sequencing

Published on: August 3, 2018

12.6K

Evaluating Sequence-Based Genomic Prediction with an Efficient New Simulator.

Miguel Pérez-Enciso1,2,3, Natalia Forneris4, Gustavo de Los Campos5,6

  • 1Centre for Research in Agricultural Genomics (CRAG), CSIC-IRTA-UAB-UB Consortium, 08193 Bellaterra, Barcelona, Spain miguel.perez@uab.es.

Genetics
|December 4, 2016
PubMed
Summary

Simulating genomes with Sequence-Based Virtual Breeding (SBVB) aids genomic prediction. Full sequence offers modest accuracy gains over SNP arrays, suggesting optimized priors and larger populations are needed for improved selection.

Keywords:
GenPredcomplex traitforward simulationgenomic selectionpigsequenceshared data resource

More Related Videos

Novel Sequence Discovery by Subtractive Genomics
09:40

Novel Sequence Discovery by Subtractive Genomics

Published on: January 25, 2019

9.2K
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

10.8K

Related Experiment Videos

Last Updated: Mar 11, 2026

Rare Event Detection Using Error-corrected DNA and RNA Sequencing
10:36

Rare Event Detection Using Error-corrected DNA and RNA Sequencing

Published on: August 3, 2018

12.6K
Novel Sequence Discovery by Subtractive Genomics
09:40

Novel Sequence Discovery by Subtractive Genomics

Published on: January 25, 2019

9.2K
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

10.8K

Area of Science:

  • Genomics
  • Quantitative Genetics
  • Animal Breeding

Background:

  • Analyzing complex traits generates vast sequence data, posing analytical challenges.
  • Existing genome simulation software lacks realism for complete genomes.
  • Genomic prediction relies on accurate simulation for experimental design and reliability testing.

Purpose of the Study:

  • To develop a novel, efficient, and flexible genome simulation strategy using real sequence data.
  • To assess the efficiency of full sequence data versus SNP arrays for genomic prediction.
  • To investigate the impact of genetic architecture on genotyping strategy effectiveness.

Main Methods:

  • Developed Sequence-Based Virtual Breeding (SBVB) to simulate offspring genomes and phenotypes from founder sequences.
  • Utilized real porcine sequences from three breeds for a 2500-animal pedigree simulation.
  • Compared genotyping strategies (full sequence, commercial SNP arrays, random SNPs) under neutral and selective genetic architectures.

Main Results:

  • Full sequence data provided a modest accuracy increase (≤ 4%) for genomic prediction compared to commercial SNP arrays.
  • This accuracy gain was robust across different genetic architectures (neutral and selective).
  • SBVB demonstrated efficient and flexible simulation of genomes and phenotypes.

Conclusions:

  • Full sequence data is unlikely to replace commercial arrays for genomic prediction with uniform SNP priors and large numbers of loci.
  • Optimizing prior information and increasing population sizes are crucial for leveraging full sequence data in selection.
  • The SBVB software offers a valuable tool for realistic genome simulation in breeding programs.