Software Volume measures for linkage disequilibrium
2006

Evaluating Volume Measures for Linkage Disequilibrium

Sample size: 200 publication Evidence: moderate

Author Information

Author(s): Chen Yuguo, Lin Chia-Ho, Sabatti Chiara

Primary Institution: University of Illinois at Urbana-Champaign; UCLA

Hypothesis

Can volume measures provide better evaluation of linkage disequilibrium for multiallelic markers compared to traditional measures?

Conclusion

Volume measures are effective tools for evaluating linkage disequilibrium, especially in small samples and with multiallelic markers.

Supporting Evidence

  • Volume measures are not inflated in small samples.
  • The algorithm allows for fast and accurate evaluation of volume measures.
  • Volume measures can be applied to multiallelic markers effectively.

Takeaway

This study shows a new way to measure how genes are related, which works better for many types of genes and small groups of samples.

Methodology

A sequential importance sampling algorithm was developed to evaluate volume measures on I × J tables.

Potential Biases

Potential upward bias in traditional measures like D' in small samples.

Limitations

The performance of volume measures can still be affected by sample size and the presence of rare alleles.

Participant Demographics

157 phase-known non-transmitted chromosomes from parents of BP-I persons from the Central Valley of Costa Rica.

Digital Object Identifier (DOI)

10.1186/1471-2156-7-54

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