Evaluation of two methods for computational HLA haplotypes inference using a real dataset
2008

Comparing Methods for HLA Haplotype Inference

Sample size: 61 publication Evidence: moderate

Author Information

Author(s): Bettencourt Bruno F, Santos Margarida R, Fialho Raquel N, Couto Ana R, Peixoto Maria J, Pinheiro João P, Spínola Hélder, Mora Marian G, Santos Cristina, Brehm António, Bruges-Armas Jácome

Hypothesis

How accurate are the leading methods for inferring HLA haplotypes?

Conclusion

The Bayesian method (PHASE v2.1.1) performed slightly better than the EM algorithm (Arlequin V3.0) in haplotype construction and frequency calculation.

Supporting Evidence

  • The PHASE v2.1.1 method had the best overall performance in haplotype construction.
  • Both methods showed differences in accuracy for haplotype determination and frequency estimation.
  • The study was the first to test statistical methods using real haplotypic data from the HLA region.

Takeaway

This study looked at two computer programs that help figure out genetic information about HLA haplotypes, and found that one program was a bit better than the other.

Methodology

The study compared the accuracy of two computational methods for haplotype inference using a dataset of 122 HLA haplotypes.

Limitations

The study only tested two methods and used a specific dataset, which may not represent all populations.

Participant Demographics

The study involved 61 unrelated families, including 38 males and 23 females.

Digital Object Identifier (DOI)

10.1186/1471-2105-9-68

Want to read the original?

Access the complete publication on the publisher's website

View Original Publication