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

Genome-wide Association Studies-GWAS01:11

Genome-wide Association Studies-GWAS

14.0K
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...
14.0K
Analysis of Population Pharmacokinetic Data01:12

Analysis of Population Pharmacokinetic Data

363
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...
363
Behavioral Genetics and Its Designs01:23

Behavioral Genetics and Its Designs

484
Behavior genetics explores how genetic inheritance influences human behavior. It focuses on how genes, passed from parents to offspring, contribute to the development of behavioral traits and tendencies. This branch of genetics seeks to understand the complex interplay between inherited genetic factors and environmental influences in shaping our behaviors.
The primary methodologies used in behavior genetics include family studies, twin studies, and adoption studies, each providing unique...
484
Evolutionary Relationships through Genome Comparisons02:54

Evolutionary Relationships through Genome Comparisons

6.1K
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...
6.1K
Single Nucleotide Polymorphisms-SNPs01:05

Single Nucleotide Polymorphisms-SNPs

15.7K
A single nucleotide polymorphism or SNP is a single nucleotide variation at a specific genomic position in a large population. It is the most prevalent type of sequence variation found in the human genome. Point mutations that occur in more than 1% of the population qualify as SNPs. These are present once every 1000 nucleotides on an average in the human genome. Replacement of a purine with another purine (A/G) or a pyrimidine with another pyrimidine (C/T) is known as a transition. In contrast,...
15.7K
Human Genetics01:28

Human Genetics

692
Human genetics provides a profound framework for understanding the interplay between genetic predispositions and human psychology. At the heart of this discipline lies the study of how genes influence physical traits, behaviors, and susceptibility to diseases. Each person carries a unique genetic code that subtly or significantly shapes their psychological and behavioral landscape.
The complex relationship between genetics and psychology is observable through common biological components such...
692

You might also read

Related Articles

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

Sort by
Same author

Varied Reduction and Fixation Modalities for Scapula Fractures: A Case Series.

Journal of orthopaedic case reports·2026
Same author

Human Papillomavirus (HPV)-The Interplay between Vaginal Microbiota and HPV, along with its Prevention.

Current HIV research·2026
Same author

Perturbation-Based Balance Training Reduces Falls and Fall Injuries in Older People: Insights on Mechanisms and Training Parameters From a Systematic Review.

Journal of the American Medical Directors Association·2026
Same author

Co(II), Cu(II), and Ni(II) Coordination Complexes: Synthesis, Characterization, Experimental, and Computational Study on Potential Antiplasmodial Activity.

ChemMedChem·2026
Same author

Synthesis, Characterization, and Anti-Plasmodium falciparum Activity of a New Copper(II) Complex Containing 2-(Tert-Butoxy)-6-(1H-imidazol-1-yl)pyridine.

ChemMedChem·2026
Same author

Neuroligin-3: A Novel Exercise-Induced Secreted Factor Enhancing Insulin Sensitivity in Obese Insulin-Resistant Mice.

Diabetes·2026

Related Experiment Video

Updated: Aug 29, 2025

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

Infinium Assay for Large-scale SNP Genotyping Applications

Published on: November 19, 2013

39.1K

Genetic Ancestry Inference for Pharmacogenomics.

I King Jordan1, Shivam Sharma2, Shashwat Deepali Nagar3

  • 1School of Biological Sciences, Georgia Institute of Technology, Atlanta, GA, USA. king.jordan@biology.gatech.edu.

Methods in Molecular Biology (Clifton, N.J.)
|September 6, 2022
PubMed
Summary

This guide explains genetic ancestry inference using genome-wide data. It details principal components analysis (PCA) for patient stratification and ADMIXTURE for continuous ancestry, emphasizing visualization techniques.

Keywords:
AdmixtureGenetic ancestry inferenceGenetic variantsHealth disparitiesPharmacogenomicsPopulation-specific drug efficacy

More Related Videos

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

3.8K
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

10.2K

Related Experiment Videos

Last Updated: Aug 29, 2025

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

Infinium Assay for Large-scale SNP Genotyping Applications

Published on: November 19, 2013

39.1K
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

3.8K
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

10.2K

Area of Science:

  • Genomics
  • Population Genetics
  • Bioinformatics

Background:

  • Genetic ancestry inference is crucial for understanding population structure.
  • It aids in patient stratification and modeling pharmacogenomic variation.
  • Genome-wide genetic data provides a rich resource for these analyses.

Purpose of the Study:

  • To provide a comprehensive guide to genetic ancestry inference.
  • To detail the application of principal components analysis (PCA) and ADMIXTURE.
  • To emphasize effective visualization of inference results.

Main Methods:

  • Utilizing genome-wide genetic variant datasets.
  • Applying principal components analysis (PCA) for categorical inference and patient stratification.
  • Employing ADMIXTURE analysis for continuous genetic ancestry characterization.

Main Results:

  • PCA effectively stratifies patient cohorts and infers categorical ancestry.
  • ADMIXTURE provides a continuous measure of genetic ancestry.
  • Visualization methods are key to interpreting PCA and ADMIXTURE outputs.

Conclusions:

  • Genetic ancestry inference is a valuable tool in biomedical research.
  • PCA and ADMIXTURE are powerful, complementary methods for ancestry analysis.
  • Effective visualization enhances the utility of genetic ancestry inference.