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Related Experiment Videos

Volume measures for linkage disequilibrium.

Yuguo Chen1, Chia-Ho Lin, Chiara Sabatti

  • 1Department of Statistics, University of Illinois at Urbana-Champaign, Champaign IL 61820, USA. yuguo@uiuc.edu <yuguo@uiuc.edu>

BMC Genetics
|November 23, 2006
PubMed
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This study introduces a new computational method for evaluating volume measures of linkage disequilibrium (LD). This approach offers accurate and efficient analysis for multiallelic markers, even in small samples.

Area of Science:

  • Genetics and Bioinformatics
  • Statistical Genetics

Background:

  • Challenges exist in defining linkage disequilibrium (LD) measures suitable for multiallelic markers and small sample sizes.
  • Volume measures show promise for LD evaluation but have been limited by computational complexity.

Purpose of the Study:

  • To develop an efficient computational algorithm for evaluating volume measures of LD.
  • To address the computational challenges hindering the application of volume measures.

Main Methods:

  • A sequential importance sampling algorithm was designed to compute volume measures on I x J tables.
  • The algorithm was implemented as an open-source C routine, offering an alternative to exhaustive enumeration.

Main Results:

  • The developed algorithm provides fast and accurate evaluation of volume measures in two-dimensional tables.

Related Experiment Videos

  • The C code is available as open-source software.

    • Conclusions:

    • Volume measures are effective for LD evaluation, demonstrating robustness in small samples.
    • The proposed method enhances the applicability of volume measures to multiallelic markers due to their computational efficiency.