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LASER server: ancestry tracing with genotypes or sequence reads.

Daniel Taliun1, Sonia P Chothani2, Sebastian Schönherr3

  • 1Department of Biostatistics and Center for Statistical Genetics, University of Michigan School of Public Health, Ann Arbor, MI 48109, USA.

Bioinformatics (Oxford, England)
|February 16, 2017
PubMed
Summary
This summary is machine-generated.

We developed LASER to estimate individual genetic ancestry across diverse studies. This tool allows for direct comparison of ancestry backgrounds, regardless of data type, by unifying samples in a common ancestral space.

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Area of Science:

  • Genetics
  • Bioinformatics
  • Population Genetics

Background:

  • Accurate estimation of individual genetic ancestry is crucial for comparative genomic studies.
  • Existing methods often struggle with diverse data types (sequenced vs. genotyped) and varying platforms.

Purpose of the Study:

  • To introduce LASER, a novel computational tool for estimating individual genetic ancestry.
  • To enable direct and standardized comparison of ancestry across different genetic studies.
  • To provide a user-friendly platform for accessing these ancestry estimation capabilities.

Main Methods:

  • Development of the LASER (Local Ancestry and Structure Estimation in R) algorithm.
  • Implementation of a web server for accessible application of the LASER method.
  • Creation of interactive visualizations for presenting ancestry estimation results.

Main Results:

  • LASER successfully estimates individual ancestry by unifying diverse genetic data into a common ancestral space.
  • The LASER server facilitates the application of this method to a broad range of genetic studies.
  • Results include genetic ancestry estimation for various geographic regions with interactive visualization.

Conclusions:

  • LASER provides a robust solution for comparing ancestry backgrounds across studies using different sequencing or genotyping methods.
  • The LASER server enhances the accessibility and utility of advanced genetic ancestry estimation.
  • This tool supports more consistent and reliable population genetic analyses in diverse research settings.