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

Frequency-dependent Selection01:21

Frequency-dependent Selection

When the fitness of a trait is influenced by how common it is (i.e., its frequency) relative to different traits within a population, this is referred to as frequency-dependent selection. Frequency-dependent selection may occur between species or within a single species. This type of selection can either be positive—with more common phenotypes having higher fitness—or negative, with rarer phenotypes conferring increased fitness.
Regression Analysis01:11

Regression Analysis

Regression analysis is a statistical tool that describes a mathematical relationship between a dependent variable and one or more independent variables.
In regression analysis, a regression equation is determined based on the line of best fit– a line that best fits the data points plotted in a graph. This line is also called the regression line. The algebraic equation for the regression line is called the regression equation. It is represented as:
Types of Selection01:46

Types of Selection

Natural selection influences the frequencies of particular alleles and phenotypes within populations in several different ways. Primarily, natural selection can be directional, stabilizing, or disruptive. Directional selection favors one extreme trait and shifts the population towards that phenotype while selecting against individuals displaying alternate traits. Stabilizing selection favors an intermediate trait with a narrow range of variation. Deviation from the optimal phenotype towards an...
What is Climate?01:16

What is Climate?

Climate refers to the prevailing weather conditions in a specific area over an extended period. As the saying goes, “Climate is what you expect. Weather is what you get.” Climate is influenced by geographic factors, such as latitude, terrain, and proximity to bodies of water.
Multiple Regression01:25

Multiple Regression

Multiple regression assesses a linear relationship between one response or dependent variable and two or more independent variables. It has many practical applications.
Farmers can use multiple regression to determine the crop yield based on more than one factor, such as water availability, fertilizer, soil properties, etc. Here, the crop yield is the response or dependent variable as it depends on the other independent variables. The analysis requires the construction of a scatter plot...
What is Natural Selection?01:32

What is Natural Selection?

Natural selection is an evolutionary process in which individuals with survival-promoting traits reproduce at higher rates. These favorable traits become more common within a population or species. Naturally selected traits initially arise via random genetic mutations. In order for selection to occur, there must be variation within a population, the trait controlling the variation must be heritable, and there must be an evolutionary advantage for variation in the trait.

You might also read

Related Articles

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

Sort by
Same author

A global map for introgressed structural variation and selection in humans.

Science (New York, N.Y.)·2026
Same author

Lift&Add-rapid and robust addition of new species to alignments of conserved non-coding sequences.

Bioinformatics (Oxford, England)·2026
Same author

Mapping the gene regulatory landscape of archaic hominin introgression in modern Papuans.

PLoS genetics·2026
Same author

The craniofacial shape of modern humans embodies genomic signatures of evolution, diversity, and clinical conditions.

bioRxiv : the preprint server for biology·2026
Same author

Tracing 2500 years of human betaherpesvirus 6A and 6B diversity through ancient DNA.

Science advances·2026
Same author

Genetic effects on migration behavior contribute to increasing spatial differentiation at trait-associated loci in Estonia.

iScience·2025

Related Experiment Video

Updated: May 7, 2026

Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach
04:35

Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach

Published on: July 3, 2020

A general linear model-based approach for inferring selection to climate.

Srilakshmi M Raj1, Luca Pagani, Irene Gallego Romero

  • 1Department of Zoology, University of Cambridge, Cambridge, UK. w.amos@zoo.cam.ac.uk.

BMC Genetics
|September 24, 2013
PubMed
Summary
This summary is machine-generated.

A new method, MAntel-GLM to Infer Clinal Selection (MAGICS), identifies human genome regions under selection by linking environmental factors to genetic variation. This approach reveals climate-driven directional and balancing selection in 354 genes.

More Related Videos

Watershed Planning within a Quantitative Scenario Analysis Framework
12:44

Watershed Planning within a Quantitative Scenario Analysis Framework

Published on: July 24, 2016

Related Experiment Videos

Last Updated: May 7, 2026

Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach
04:35

Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach

Published on: July 3, 2020

Watershed Planning within a Quantitative Scenario Analysis Framework
12:44

Watershed Planning within a Quantitative Scenario Analysis Framework

Published on: July 24, 2016

Area of Science:

  • Human evolutionary genetics
  • Population genomics
  • Environmental adaptation

Background:

  • Detecting positive selection in the human genome is crucial for understanding human evolution, particularly post-African expansion.
  • Existing methods often overlook the direct link between environmental factors and human genetic variation patterns.
  • A novel approach is needed to integrate environmental data with genomic variation to study selection.

Purpose of the Study:

  • To develop and validate a new statistical method, MAntel-GLM to Infer Clinal Selection (MAGICS), for identifying genomic regions under selection.
  • To explicitly incorporate environmental data and population-specific genetic variation into selection analyses.
  • To provide a more accurate understanding of the environmental drivers of human genetic adaptation.

Main Methods:

  • Developed MAntel-GLM to Infer Clinal Selection (MAGICS), a method using Mantel tests within a general linear model framework.
  • MAGICS integrates population-specific and genome-wide background variation with environmental data.
  • The method corrects for geographic distance and reduces the number of statistical tests to limit false positives.

Main Results:

  • MAGICS identified 354 genes showing evidence of climate-associated selection (P < 10^-5).
  • A significant enrichment of directional positive selection was observed among these genes.
  • The method successfully detected both directional and balancing selection, including recent selection events.

Conclusions:

  • Climate-related signals of directional and balancing selection are evident in the human genome.
  • Specific genes like ADRA2A and ADRA2C, involved in physiological responses, show evidence of balancing selection.
  • MAGICS offers an improved approach for studying environmental influences on human genetic variation and selection.