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

What is Population Genetics?01:25

What is Population Genetics?

66.2K
A population is composed of members of the same species that simultaneously live and interact in the same area. When individuals in a population breed, they pass down their genes to their offspring. Many of these genes are polymorphic, meaning that they occur in multiple variants. Such variations of a gene are referred to as alleles. The collective set of all the alleles within a population is known as the gene pool.
66.2K
Mutation, Gene Flow, and Genetic Drift01:09

Mutation, Gene Flow, and Genetic Drift

66.5K
In a population that is not at Hardy-Weinberg equilibrium, the frequency of alleles changes over time. Therefore, any deviations from the five conditions of Hardy-Weinberg equilibrium can alter the genetic variation of a given population. Conditions that change the genetic variability of a population include mutations, natural selection, non-random mating, gene flow, and genetic drift (small population size).
66.5K
Evolutionary Relationships through Genome Comparisons02:54

Evolutionary Relationships through Genome Comparisons

7.3K
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...
7.3K
Genetic Drift03:33

Genetic Drift

45.6K
Natural selection—probably the most well-known evolutionary mechanism—increases the prevalence of traits that enhance survival and reproduction. However, evolution does not merely propagate favorable traits, nor does it always benefit populations.
45.6K
Analysis of Population Pharmacokinetic Data01:12

Analysis of Population Pharmacokinetic Data

955
Analysis of population pharmacokinetic data involves studying the behavior of drugs within diverse populations to understand their pharmacokinetic parameters. Traditional pharmacokinetic methods typically involve collecting samples from a few individuals and estimating these parameters. While these methods are commonly used, they have limitations in capturing the variability in drug response among individuals or heterogeneous populations. Population pharmacokinetics is employed to address these...
955
Hardy-Weinberg Principle01:49

Hardy-Weinberg Principle

77.8K
Diploid organisms have two alleles of each gene, one from each parent, in their somatic cells. Therefore, each individual contributes two alleles to the gene pool of the population. The gene pool of a population is the sum of every allele of all genes within that population and has some degree of variation. Genetic variation is typically expressed as a relative frequency, which is the percentage of the total population that has a given allele, genotype or phenotype.
77.8K

You might also read

Related Articles

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

Sort by
Same author

Genetic and Environmental Effects on BMI Fluctuation Across the Adult Life Course and Its Associations With Baseline BMI and BMI Change: An Individual-Based Study of 14 Longitudinal Twin Cohorts.

Diabetes, obesity & metabolism·2026
Same author

A generalized logistic-logit function and its application to multi-layer perceptron and neuron segmentation.

Frontiers in artificial intelligence·2026
Same author

Genetic and environmental influences on educational disparities in adult weight change: an individual-based pooled analysis of 11 twin cohorts.

International journal of obesity (2005)·2026
Same author

The influence of reproductive mode on resource competition and diversity patterns in Ediacaran early animal communities.

Nature ecology & evolution·2026
Same author

Hyperpathway: visualizing organization of pathway-molecule enriched interactions in omics studies via hyperbolic bipartite network embedding.

NPJ systems biology and applications·2026
Same author

Pan-African model explains <i>Homo sapiens</i> genetic and morphological evolution.

bioRxiv : the preprint server for biology·2026
Same journal

Peripheral B-cell receptor repertoire predicts immune-related adverse events following immune checkpoint inhibitor therapy in advanced renal cell carcinoma.

Scientific reports·2026
Same journal

Effects of black soldier fly (Hermetia illucens L.) larvae zoocompost on the mineral element content of blue honeysuckle berries.

Scientific reports·2026
Same journal

Investigation on absorption refrigeration performance of R1243zf with imidazolium ionic liquid as the working pairs.

Scientific reports·2026
Same journal

DeepTriage-CN: integrating clinical text with vital signs for emergency department admission prediction in an aging population.

Scientific reports·2026
Same journal

Gold nanoparticles as dual-action antiviral agents: disruption of SARS-CoV-2 viral envelopes and RNA integrity.

Scientific reports·2026
Same journal

Comparison of capillary microsampling and venous blood for multi-pathogen serosurveillance.

Scientific reports·2026
See all related articles

Related Experiment Video

Updated: Apr 18, 2026

Following the Dynamics of Structural Variants in Experimentally Evolved Populations
04:52

Following the Dynamics of Structural Variants in Experimentally Evolved Populations

Published on: February 3, 2023

1.4K

Highlighting nonlinear patterns in population genetics datasets.

Gregorio Alanis-Lobato1, Carlo Vittorio Cannistraci2, Anders Eriksson3

  • 11] Integrative Systems Biology Laboratory, Biological and Environmental Sciences and Engineering Division, Computer, Electrical and Mathematical Sciences and Engineering Division, Computational Bioscience Research Center, King Abdullah University of Science and Technology (KAUST), Ibn Al Haytham Bldg. 2, Level 4, Thuwal 23955-6900, Kingdom of Saudi Arabia [2] Division of Medical Genetics, Department of Medicine, University of California, San Diego, 9500 Gilman Drive, La Jolla, CA 92093 USA.

Scientific Reports
|January 31, 2015
PubMed
Summary
This summary is machine-generated.

Principal Component Analysis (PCA) struggles with complex genetic data. A new nonlinear method, non-centred Minimum Curvilinear Embedding (ncMCE), reveals ethnic structures where PCA fails, offering a complementary analysis standard.

More Related Videos

Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations
08:03

Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations

Published on: December 7, 2021

2.9K
Pattern-based Search of Epigenomic Data Using GeNemo
06:38

Pattern-based Search of Epigenomic Data Using GeNemo

Published on: October 8, 2017

5.5K

Related Experiment Videos

Last Updated: Apr 18, 2026

Following the Dynamics of Structural Variants in Experimentally Evolved Populations
04:52

Following the Dynamics of Structural Variants in Experimentally Evolved Populations

Published on: February 3, 2023

1.4K
Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations
08:03

Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations

Published on: December 7, 2021

2.9K
Pattern-based Search of Epigenomic Data Using GeNemo
06:38

Pattern-based Search of Epigenomic Data Using GeNemo

Published on: October 8, 2017

5.5K

Area of Science:

  • Population genetics
  • Bioinformatics
  • Statistical genetics

Background:

  • Detecting population structure is crucial for understanding genetic phenomena like admixture and stratification.
  • Principal Component Analysis (PCA) is a common but limited linear method for this task, often failing with complex, nonlinear data patterns.

Purpose of the Study:

  • Introduce non-centred Minimum Curvilinear Embedding (ncMCE) as a nonlinear method to improve structure detection in genetic data.
  • Compare the effectiveness of ncMCE against PCA in revealing population structure.

Main Methods:

  • Development and application of non-centred Minimum Curvilinear Embedding (ncMCE).
  • Comparative analysis of ncMCE and Principal Component Analysis (PCA) on population genetics datasets.
  • Evaluation of pattern discovery in both well- and poorly-pre-processed genetic data.

Main Results:

  • ncMCE successfully separates individuals into ethnic groups in datasets where PCA shows no clear structure.
  • ncMCE captures phylogenetic signals more effectively than PCA, which better reflects geographic relations.
  • ncMCE demonstrates utility in discovering patterns even with suboptimal data preprocessing.

Conclusions:

  • ncMCE offers enhanced discrimination power for detecting nonlinear patterns in population genetics.
  • The combination of PCA and ncMCE provides a robust analytical framework for discovering and validating genetic structures.
  • ncMCE represents a valuable advancement for analyzing complex genetic data and population structure.