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

Genomics02:02

Genomics

Genomics is the science of genomes: it is the study of all the genetic material of an organism. In humans, the genome consists of information carried in 23 pairs of chromosomes in the nucleus, as well as mitochondrial DNA. In genomics, both coding and non-coding DNA is sequenced and analyzed. Genomics allows a better understanding of all living things, their evolution, and their diversity. It has a myriad of uses: for example, to build phylogenetic trees, to improve productivity and...
Pharmacogenomics: Identification of New Drug Targets01:29

Pharmacogenomics: Identification of New Drug Targets

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...
Incomplete Dominance01:43

Incomplete Dominance

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.
Evolutionary Relationships through Genome Comparisons02:54

Evolutionary Relationships through Genome Comparisons

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...
Genome Size and the Evolution of New Genes03:21

Genome Size and the Evolution of New Genes

While every living organism has a genome of some kind (be it RNA, or DNA), there is considerable variation in the sizes of these blueprints. One major factor that impacts genome size is whether the organism is prokaryotic or eukaryotic. In prokaryotes, the genome contains little to no non-coding sequence, such that genes are tightly clustered in groups or operons sequentially along the chromosome. Conversely, the genes in eukaryotes are punctuated by long stretches of non-coding sequence.
Genome Size and the Evolution of New Genes03:21

Genome Size and the Evolution of New Genes

While every living organism has a genome of some kind (be it RNA, or DNA), there is considerable variation in the sizes of these blueprints. One major factor that impacts genome size is whether the organism is prokaryotic or eukaryotic. In prokaryotes, the genome contains little to no non-coding sequence, such that genes are tightly clustered in groups or operons sequentially along the chromosome. Conversely, the genes in eukaryotes are punctuated by long stretches of non-coding sequence.

You might also read

Related Articles

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

Sort by
Same author

Students', colleagues' and research partners' experience about work and accomplishments from collaborating with Robin Thompson.

Journal of animal breeding and genetics = Zeitschrift fur Tierzuchtung und Zuchtungsbiologie·2019
Same author

Effect of heterogeneity in recombination rate on variation in realised relationship.

Heredity·2019
Same author

Publisher Correction: Selective effects of heterozygous protein-truncating variants.

Nature genetics·2018
Same author

Selective effects of heterozygous protein-truncating variants.

Nature genetics·2018
Same author

One Hundred Years of Linkage Disequilibrium.

Genetics·2018
Same author

A NOTE ON THE INBREEDING EFFECTIVE POPULATION SIZE.

Evolution; international journal of organic evolution·2017
Same journal

RNA Modifications as Drug Targets: Unlocking the Therapeutic Potential of the Epitranscriptome.

Current genomics·2026
Same journal

AgriBioNER: A Named Entity Recognition Tool for Identification of ncRNA and Diseases in Agricultural Literature.

Current genomics·2026
Same journal

Understanding the Evolutionary Adaptations and the Associated Functional Dynamics of Diatom <i>Cyclotella Cryptica</i>: A Chloroplast Genome-wide Comparative Study.

Current genomics·2026
Same journal

The Role of Collagen Genetic Variability in Degenerative Disc Disease and Related Conditions.

Current genomics·2026
Same journal

Genomics-Driven Immunotherapy: Advancing Cancer Treatment through Personalized Approaches.

Current genomics·2026
Same journal

Innovative Applications and Challenges of Isothermal Amplification Technology in miRNA Detection.

Current genomics·2026
See all related articles

Related Experiment Video

Updated: May 17, 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

Quantitative genetics in the genomics era.

William G Hill1

  • 1Institute of Evolutionary Biology, School of Biological Sciences, University of Edinburgh, West Mains Road, Edinburgh, EH9 3JT, UK.

Current Genomics
|November 2, 2012
PubMed
Summary
This summary is machine-generated.

Genomic methods enhance the analysis of complex traits by estimating individual relationships and utilizing dense markers. This approach, including genomic selection, is revolutionizing breeding and holds potential for human disease prediction.

Keywords:
Complex traitsQTLevolutiongenetic variancegenome wide associationheritabilityselection.

More Related Videos

Infinium Assay for Large-scale SNP Genotyping Applications
13:33

Infinium Assay for Large-scale SNP Genotyping Applications

Published on: November 19, 2013

Related Experiment Videos

Last Updated: May 17, 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

Infinium Assay for Large-scale SNP Genotyping Applications
13:33

Infinium Assay for Large-scale SNP Genotyping Applications

Published on: November 19, 2013

Area of Science:

  • Quantitative genetics
  • Genomics
  • Statistical genetics

Background:

  • Genetic analysis of complex traits traditionally relies on heritability and genetic variances.
  • Genomic methods offer new quantitative analyses by estimating individual relationships.
  • Advancements in marker density and designed stocks improve linkage mapping precision.

Purpose of the Study:

  • To explore the impact of genomic methods on the analysis of quantitative traits.
  • To highlight the role of genome-wide association studies and dense marker panels.
  • To discuss the potential of genomic selection in breeding and disease prediction.

Main Methods:

  • Utilizing dense marker panels for precise linkage mapping.
  • Employing genome-wide association analysis with large SNP panels.
  • Applying genomic selection by fitting dense markers with phenotypic data for breeding value prediction.

Main Results:

  • Genomic methods enable novel quantitative analyses and improve mapping precision.
  • Genome-wide association studies identify numerous loci for complex traits, each with small effects.
  • Fitting all SNPs reveals that a classical polygenic model with small effects remains relevant.
  • Low minor allele frequencies of variants pose detection challenges.

Conclusions:

  • Genomic approaches are transforming quantitative trait analysis and breeding programs.
  • Genomic selection shows significant potential for improving agricultural breeding and predicting human diseases.
  • Despite small individual effects, a polygenic model is crucial for understanding complex traits.