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

You might also read

Related Articles

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

Sort by

Same author

Stage shifts in national lung adenocarcinoma and the impact of opportunistic self-initiated LDCT screening in Taiwan: a nationwide population-based cohort study.

The Lancet regional health. Western Pacific·2026

Same author

Evaluating risk prediction models: the Predictiveness curve and its geometric summaries.

American journal of epidemiology·2026

Same author

Age-related differences in outcomes and tumor characteristics of ultra-rare sarcomas: A Nation-wide Study.

Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology·2026

Same author

Association of Cancer Care Quality Certification With Survival Across Multiple Cancer Types: A Population-Based Cohort Study in Taiwan.

International journal of cancer·2026

Same author

Explainable artificial intelligence for personalized prognosis in pancreatic cancer: A nationwide study from Taiwan.

PLOS digital health·2026

Same author

Distribution of adverse pathological features and prognosis across tongue, buccal, gum, and other oral cancer subsites: A nationwide study.

American journal of otolaryngology·2026

Search research articles

Related Experiment Video

Updated: Apr 16, 2026

Detection of Rare Genomic Variants from Pooled Sequencing Using SPLINTER

Detection of Rare Genomic Variants from Pooled Sequencing Using SPLINTER

Published on: June 23, 2012

A permutation test for oligoset DNA pooling studies.

Hsiao-Yuan Huang¹, Jui-Hsiang Lin¹, Wen-Chung Lee¹

¹Research Center for Genes, Environment and Human Health, and Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, Taipei, Taiwan.

|March 13, 2015

Summary

Population stratification bias in genetic studies can be reduced using DNA pooling. A new permutation test for oligoset DNA pooling offers a cost-effective and accurate alternative for researchers with limited budgets.

More Related Videos

A Rapid High-throughput Method for Mapping Ribonucleoproteins RNPs on Human pre-mRNA

A Rapid High-throughput Method for Mapping Ribonucleoproteins RNPs on Human pre-mRNA

Published on: December 2, 2009

An Allele-specific Gene Expression Assay to Test the Functional Basis of Genetic Associations

An Allele-specific Gene Expression Assay to Test the Functional Basis of Genetic Associations

Published on: November 3, 2010

Related Experiment Videos

Last Updated: Apr 16, 2026

Detection of Rare Genomic Variants from Pooled Sequencing Using SPLINTER

Detection of Rare Genomic Variants from Pooled Sequencing Using SPLINTER

Published on: June 23, 2012

A Rapid High-throughput Method for Mapping Ribonucleoproteins RNPs on Human pre-mRNA

A Rapid High-throughput Method for Mapping Ribonucleoproteins RNPs on Human pre-mRNA

Published on: December 2, 2009

An Allele-specific Gene Expression Assay to Test the Functional Basis of Genetic Associations

An Allele-specific Gene Expression Assay to Test the Functional Basis of Genetic Associations

Published on: November 3, 2010

Area of Science:

Population genetics
Statistical genetics
Genomic association studies

Background:

Case-control association studies are susceptible to population stratification bias.
Previous methods combined stratum matching, genomic controlling, and multiple DNA pooling (polyset) to mitigate bias and reduce costs.
The polyset strategy requires preparing over 30 case-control pooling sets, posing a logistical challenge.

Purpose of the Study:

To introduce a novel permutation test for oligoset DNA pooling.
To evaluate the performance of this new method in controlling type I error rates and maintaining statistical power.
To offer a cost-effective DNA pooling strategy for genetic association studies.

Main Methods:

Development of a permutation test specifically designed for oligoset DNA pooling.
Utilizing Monte-Carlo simulations to assess the test's performance.
Comparison of the proposed method's power and type I error rate against individual genotyping.

Main Results:

The proposed permutation test effectively controls the type I error rate.
Statistical power achieved with oligoset DNA pooling is comparable to individual genotyping.
The oligoset DNA pooling strategy is demonstrated to be a viable and budget-friendly option.

Conclusions:

The novel permutation test provides a reliable method for oligoset DNA pooling in genetic association studies.
This approach significantly reduces the number of DNA pools required compared to polyset methods.
Oligoset DNA pooling presents a practical and economical solution for researchers facing budget constraints.