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An overview of STRUCTURE: applications, parameter settings, and supporting software.

Liliana Porras-Hurtado¹, Yarimar Ruiz, Carla Santos

¹Universidad Tecnológica de Pereira Pereira, Colombia ; Forensic Genetics Unit, Institute of Legal Medicine, University of Santiago de Compostela Santiago de Compostela, Spain.

Frontiers in Genetics

|June 12, 2013

Summary

This summary is machine-generated.

This review details the STRUCTURE software for population genetic analysis, covering its models, applications in human genetics, and use with supporting tools like CLUMPP and STRAT for informed parameter choices.

Keywords:

CLUMPP STRAT STRUCTURE case-control association studies distruct population structure stratification

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Area of Science:

Population genetics
Human genetics
Bioinformatics

Background:

STRUCTURE is a widely used tool for analyzing genetic structure in sample sets.
It identifies sub-populations by detecting allele frequency differences and assigning individuals based on likelihoods.

Purpose of the Study:

To provide an up-to-date review of STRUCTURE software.
To cover its common ancestry and frequency models.
To overview applications in human genetics, including case-control association studies (CCAS), population genetics, and forensic analysis.

Main Methods:

Exploration of STRUCTURE's principal analysis parameters using a human genetic data example.
Detailed use of supporting software: CLUMPP and distruct.
Overview and worked example of STRAT software for CCAS.

Main Results:

Demonstration of how parameter changes affect STRUCTURE results.
Guidance on utilizing CLUMPP, distruct, and STRAT in conjunction with STRUCTURE.
Supplementary material provides a step-by-step guide for running STRUCTURE.

Conclusions:

The guide simplifies the application of STRUCTURE, CLUMPP, distruct, and STRAT.
Researchers can make informed choices regarding parameter settings and supporting software for genetic data analysis.