Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

What is Population Genetics?

What is Population Genetics?

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.While some alleles of a given gene might be observed commonly, other variants...

Genetics of Speciation

Genetics of Speciation

Speciation is the evolutionary process resulting in the formation of new, distinct species—groups of reproductively isolated populations.The genetics of speciation involves the different traits or isolating mechanisms preventing gene exchange, leading to reproductive isolation. Reproductive isolation can be due to reproductive barriers that have effects either before or after the formation of a zygote. Pre-zygotic mechanisms prevent fertilization from occurring, and post-zygotic mechanisms...

Gene Flow

Gene Flow

Gene flow is the transfer of genes among populations, resulting from either the dispersal of gametes or from the migration of individuals.

Mutation, Gene Flow, and Genetic Drift

Mutation, Gene Flow, and Genetic Drift

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).Mechanisms of Genetic VariationThe original sources of genetic variation are mutations,...

Genetic Drift

Genetic Drift

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.Life is not fair. A deer grazing contentedly in a field can have her meal cut tragically short by a bolt of lightning. If the doomed doe is one of only three in the population, 1/3 of the population’s gene pool is lost. Random events like this can...

Genome-wide Association Studies-GWAS

Genome-wide Association Studies-GWAS

Genome-wide association studies or GWAS are used to identify whether common SNPs are associated with certain diseases. Suppose specific SNPs are more frequently observed in individuals with a particular disease than those without the disease. In that case, those SNPs are said to be associated with the disease. Chi-square analysis is performed to check the probability of the allele likely to be associated with the disease.
GWAS does not require the identification of the target gene involved in...

You might also read

Related Articles

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

Sort by

Same author

Genes associated with genetic and rare lung diseases and the risk of lung cancer.

BMC cancer·2026

Same author

Evaluating eight smoking metrics for modelling survival in non-small cell lung cancer.

Cancer epidemiology·2026

Same author

Stratifying lung adenocarcinoma risk with multi-ancestry polygenic risk scores in East Asian never-smokers.

Journal of the National Cancer Institute·2025

Same author

Dysregulation of hair-strand-based elemental biodynamics in amyotrophic lateral sclerosis.

EBioMedicine·2025

Same author

Prediction of seizure outcome with presurgical intracarotid amobarbital procedure, mesial temporal sclerosis on MRI, and PET in surgical candidates with temporal lobe epilepsy.

Epileptic disorders : international epilepsy journal with videotape·2025

Same author

Genes associated with genetic and rare lung diseases and the risk of lung cancer.

Research square·2025

Search research articles

Related Experiment Video

Updated: Jun 27, 2026

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

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

Published on: December 7, 2021

Ecogeographic genetic epidemiology.

Chantel D Sloan¹, Eric J Duell, Xun Shi

¹Computational Genetics Laboratory, Department of Genetics, Dartmouth Medical School, Lebanon, New Hampshire, USA.

Genetic Epidemiology

|November 26, 2008

Summary

Complex diseases arise from gene-environment interactions. This study introduces ecogeographic genetic epidemiology using geographic information systems (GIS) to map disease patterns and understand spatial gene-environment links.

More Related Videos

Genetic Mapping of Thermotolerance Differences Between Species of Saccharomyces Yeast via Genome-Wide Reciprocal Hemizygosity Analysis

Genetic Mapping of Thermotolerance Differences Between Species of Saccharomyces Yeast via Genome-Wide Reciprocal Hemizygosity Analysis

Published on: August 12, 2019

Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry

Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry

Published on: June 21, 2018

Related Experiment Videos

Last Updated: Jun 27, 2026

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

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

Published on: December 7, 2021

Genetic Mapping of Thermotolerance Differences Between Species of Saccharomyces Yeast via Genome-Wide Reciprocal Hemizygosity Analysis

Genetic Mapping of Thermotolerance Differences Between Species of Saccharomyces Yeast via Genome-Wide Reciprocal Hemizygosity Analysis

Published on: August 12, 2019

Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry

Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry

Published on: June 21, 2018

Area of Science:

Epidemiology
Ecology
Geography
Genetics

Background:

Complex diseases like cancer and heart disease result from gene-environment interactions.
Disease incidence often shows geographic patterns or spatial clusters.
Genetic and environmental factors are unevenly distributed geographically.

Purpose of the Study:

To integrate genetic epidemiology, ecology, and geography for a comprehensive understanding of disease spatial patterns.
To introduce a novel interdisciplinary paradigm: ecogeographic genetic epidemiology.
To explore the spatial interactions between genetics and environment in disease etiology.

Main Methods:

Utilizing Geographic Information Systems (GIS) for spatial data analysis.
Applying spatial statistical analyses to layer genetic, environmental, and disease rate data.
Developing an interdisciplinary approach to study gene-environment interactions.

Main Results:

Demonstrated the feasibility of layering diverse datasets within a GIS framework.
Identified spatial correlations between genetic subpopulations, environmental factors, and disease incidence.
Provided a method to discern complex gene-environment interactions driving spatial disease patterns.

Conclusions:

Ecogeographic genetic epidemiology offers a powerful framework for understanding disease spatial distribution.
GIS and spatial analysis are crucial for integrating genetic and environmental data in epidemiology.
This approach can reveal complex gene-environment interactions underlying geographic patterns of complex diseases.