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

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...

Pharmacogenomics: Identification of New Drug Targets

Pharmacogenomics: Identification of New Drug Targets

Advances in genomics have profoundly influenced drug discovery by increasing both the speed and accuracy of pharmaceutical development. Pharmacogenomics, which examines how genetic variation influences drug response, facilitates the identification of novel therapeutic targets and enables patient stratification for personalized treatment. These strategies contribute to improved drug efficacy, minimized adverse effects, and more efficient clinical trial design.Mapping genetic differences...

You might also read

Related Articles

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

Sort by

Same author

Inhibition of matrine against gastric cancer cell line MNK45 growth and its anti-tumor mechanism.

Molecular biology reports·2011

Same author

Evolution of activation patterns during long-duration ventricular fibrillation in pigs.

American journal of physiology. Heart and circulatory physiology·2011

Same author

A new feruloyl amide derivative from the fruits of Tribulus terrestris.

Natural product research·2011

Same author

High-amylose rice improves indices of animal health in normal and diabetic rats.

Plant biotechnology journal·2011

Same author

The cross-validated AUC for MCP-logistic regression with high-dimensional data.

Statistical methods in medical research·2011

Same author

All-optical virtual private network and ONUs communication in optical OFDM-based PON system.

Optics express·2011

Search research articles

Related Experiment Video

Updated: May 24, 2026

Large-Scale Multi-Omics Genome-Wide Association Studies (Mo-GWAS): Guidelines for Sample Preparation and Normalization

Large-Scale Multi-Omics Genome-Wide Association Studies (Mo-GWAS): Guidelines for Sample Preparation and Normalization

Published on: July 27, 2021

Treating phenotype as given: a simple resampling method for genome-wide association studies.

Kai Wang¹, Jian Huang

¹Department of Biostatistics, University of Iowa, Iowa City, IA 52242, USA. kai-wang@uiowa.edu.

BMC Proceedings

|March 1, 2012

Summary

This study introduces a novel statistical method for genetic association analysis, simplifying significance testing without distributional assumptions. The approach was applied to simulated data, identifying genetic markers associated with phenotype Q2, though their disease-causing roles require further investigation.

More Related Videos

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: May 24, 2026

Large-Scale Multi-Omics Genome-Wide Association Studies (Mo-GWAS): Guidelines for Sample Preparation and Normalization

Large-Scale Multi-Omics Genome-Wide Association Studies (Mo-GWAS): Guidelines for Sample Preparation and Normalization

Published on: July 27, 2021

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:

Genetics
Statistical genetics
Bioinformatics

Background:

Traditional genetic association studies rely on standardized statistics with often-required distributional assumptions.
These assumptions can complicate the analysis and interpretation of genetic marker significance.

Purpose of the Study:

To propose a novel, non-standardized statistic for evaluating genetic association.
To develop a resampling procedure for assessing genome-wide significance of this statistic.
To apply the method to simulated genetic data for phenotype mapping.

Main Methods:

A simple, non-standardized statistic was developed based on phenotype invariance across markers.
A resampling procedure was employed to determine genome-wide significance.
The method was tested on Genetic Analysis Workshop 17 simulated data for phenotype Q2.

Main Results:

The proposed method successfully mapped phenotype Q2 using simulated data from unrelated individuals.
No identified single nucleotide polymorphisms (SNPs) were located in known disease-causing genes.
The weak effect of individual genetic factors on phenotype Q2 may explain the lack of association with disease genes.

Conclusions:

The developed statistic and resampling method offer a simplified approach to genetic association analysis.
Further research is needed to understand the genetic architecture of phenotype Q2 and the role of identified SNPs.
The findings highlight the potential challenges in detecting disease-related genetic associations with weak individual marker effects.