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

14.9K
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...
14.9K
Analysis of Population Pharmacokinetic Data01:12

Analysis of Population Pharmacokinetic Data

522
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...
522
Dosage Regimens: Partial Pharmacokinetic Parameters01:01

Dosage Regimens: Partial Pharmacokinetic Parameters

43
It is not uncommon for complete drug pharmacokinetic profiles to remain elusive in pharmacokinetics. This necessitates certain educated assumptions by pharmacokineticists to determine appropriate dosage regimens without comprehensive pharmacokinetic data from animal or human studies. One prevalent assumption is setting the bioavailability factor, denoted as F, to 1 or 100%. This assumption caters to the scenario where a drug doesn't achieve full systemic absorption, resulting in the patient...
43
Human Genetics01:28

Human Genetics

1.0K
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...
1.0K
Behavioral Genetics and Its Designs01:23

Behavioral Genetics and Its Designs

731
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...
731
Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches01:23

Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches

223
Biopharmaceutical studies constitute a vital field aiming to enhance drug delivery methods and refine therapeutic approaches, drawing upon diverse interdisciplinary knowledge. In research methodologies, the choice between controlled and non-controlled studies significantly influences the study's reliability and accuracy.
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast,...
223

You might also read

Related Articles

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

Sort by
Same author

A methotrexate dashboard: integrating MTXPK.org into the electronic health record to facilitate model-informed care for pediatric patients receiving high-dose methotrexate.

JAMIA open·2026
Same author

Severe Thiopurine-Induced Myelosuppression in a Pediatric Acute Lymphoblastic Leukemia Patient With the NUDT15 *1/*6 Genotype: A Brief Report.

Clinical and translational science·2026
Same author

Variation in <i>SNX29</i> and Acute Vasodilator Response in Pulmonary Arterial Hypertension.

Circulation research·2026
Same author

Association Between Venlafaxine Exposure And Treatment Outcomes In Older Adults With Depression: Association entre l'exposition à la venlafaxine et les résultats du traitement chez les personnes âgées atteintes de dépression.

Canadian journal of psychiatry. Revue canadienne de psychiatrie·2026
Same author

Lipidomic Predictors of Paclitaxel-Induced Peripheral Neuropathy.

JCO precision oncology·2026
Same author

Importance of and Strategies for Implementing <i>DPYD</i> Testing to Prevent Severe Fluoropyrimidine Chemotherapy Toxicity in Health Care Systems.

American Society of Clinical Oncology educational book. American Society of Clinical Oncology. Annual Meeting·2026

Related Experiment Video

Updated: Nov 8, 2025

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

10.4K

Planning and Conducting a Pharmacogenetics Association Study.

Daniel L Hertz1, Meghan J Arwood2, Gabriele Stocco3

  • 1Department of Clinical Pharmacy, University of Michigan College of Pharmacy, Ann Arbor, Michigan, USA.

Clinical Pharmacology and Therapeutics
|April 21, 2021
PubMed
Summary

This tutorial guides new researchers in designing pharmacogenetics (PGx) association studies. It covers key decisions for discovering, replicating, and validating genotype-treatment outcome links to improve drug efficacy and safety.

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

4.5K
Infinium Assay for Large-scale SNP Genotyping Applications
13:33

Infinium Assay for Large-scale SNP Genotyping Applications

Published on: November 19, 2013

39.5K

Related Experiment Videos

Last Updated: Nov 8, 2025

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

10.4K
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

4.5K
Infinium Assay for Large-scale SNP Genotyping Applications
13:33

Infinium Assay for Large-scale SNP Genotyping Applications

Published on: November 19, 2013

39.5K

Area of Science:

  • Pharmacogenetics
  • Genetics
  • Clinical Research

Background:

  • Pharmacogenetics (PGx) association studies are crucial for linking inherited genotypes to treatment responses.
  • Understanding these associations aids in personalizing medicine, improving drug efficacy, and minimizing adverse effects.

Purpose of the Study:

  • To provide a comprehensive overview of essential decisions for designing and conducting PGx association studies.
  • To guide trainees and novice researchers through the critical steps of PGx study design.

Main Methods:

  • The tutorial outlines key decisions including study objective (discovery, replication, validation).
  • It details cohort identification, phenotype definition, genotyping approach selection, and statistical analysis methodology.
  • Each section offers common approaches, suggestions, and resources for PGx study design and execution.

Main Results:

  • Successful PGx studies are essential for identifying and confirming genetic variations influencing treatment outcomes.
  • This knowledge facilitates clinical translation for optimized treatment strategies.

Conclusions:

  • Effective PGx association studies are fundamental for advancing personalized medicine.
  • Validating genotype-phenotype associations enables clinical applications to enhance drug efficacy and reduce toxicity.