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High-Throughput Analysis of Optical Mapping Data Using ElectroMap

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PAMAM: Power analysis in multiancestry admixture mapping.

Yadu Gautam¹, Sudhir Ghandikota^1,2, Siqi Chen^1,2

¹Department of Pediatrics, Cincinnati Children's Hospital Medical Center, University of Cincinnati, Cincinnati, Ohio.

Genetic Epidemiology

|June 27, 2019

Summary

This summary is machine-generated.

Researchers developed a new tool, Power Analysis of Multiancestry AM (PAMAM), to estimate study power and sample size for admixture mapping in admixed populations. This bioinformatics tool aids in designing cost-effective genetic studies for disease susceptibility.

Keywords:

admixture mapping power and sample size three-way admixture two-way admixture

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Area of Science:

Genetics
Bioinformatics
Population Genetics

Background:

Admixed populations result from interbreeding between isolated groups.
Admixture mapping (AM) traces ancestral origins of disease loci in admixed populations like African Americans and Latinos.
Current AM studies lack dedicated power and sample size analysis tools.

Purpose of the Study:

To develop a bioinformatics tool for power and sample size analysis in admixture mapping studies.
To address the need for reliable study design in admixed populations.

Main Methods:

Developed Power Analysis of Multiancestry AM (PAMAM), a web-based bioinformatics tool.
PAMAM estimates power and sample size for two-way and three-way population admixtures.
The tool is built on JavaScript and HTML, accessible via modern web browsers.

Main Results:

PAMAM is the first tool to calculate power and sample size for admixture mapping in admixed populations.
It supports various genetic and disease phenotype models.
The tool is user-friendly and freely available online.

Conclusions:

PAMAM provides a valuable resource for researchers designing admixture mapping studies.
It enables cost-efficient study planning and grant application development.
This tool enhances the interpretability and reliability of genetic association studies in admixed populations.