Linkage analysis of the GAW14 simulated dataset with microsatellite and single-nucleotide polymorphism markers in large pedigrees
2005

Comparing SNP and Microsatellite Markers in Gene Mapping

Sample size: 50 publication Evidence: moderate

Author Information

Author(s): Yang Xiaohong (Rose), Jacobs Kevin, Kerstann Kimberly F, Bergen Andrew W, Goldstein Alisa M, Goldin Lynn R

Primary Institution: Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, DHHS, Bethesda, Maryland, USA

Hypothesis

Can high-density SNP markers provide better information than microsatellite markers for gene mapping in large pedigrees?

Conclusion

High-density SNP maps did not significantly improve linkage signals compared to lower-density STR markers in complex pedigrees.

Supporting Evidence

  • The densest SNP map (0.3 cM) had the greatest power to detect linkage for the original trait.
  • No significant improvement in linkage signals was observed with the densest SNP map compared with STR or SNP-1 cM maps for the redefined affection status.
  • Each linkage program had limitations in handling large, complex pedigrees.

Takeaway

This study looked at how well different types of genetic markers work for finding genes in big family trees. It found that using very detailed markers didn't help much more than using simpler ones.

Methodology

Parametric and nonparametric linkage analyses were performed using various marker sets and linkage programs.

Potential Biases

Potential bias due to selection of non-representative replicates.

Limitations

The study was based on simulated data, which may not fully represent real-world complexities.

Participant Demographics

Families from New York City with 3 generation pedigrees and at least 4 affected individuals.

Statistical Information

P-Value

0.000021

Statistical Significance

p<0.05

Digital Object Identifier (DOI)

10.1186/1471-2156-6-S1-S14

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