Linkage and association analyses of microsatellites and single-nucleotide polymorphisms in nuclear families
2005

Comparing SNPs and Microsatellites for Genome Scans

Sample size: 300 publication Evidence: moderate

Author Information

Author(s): Lin Jennifer, Liu Kuang-Yu

Primary Institution: Brigham and Women's Hospital, Harvard Medical School

Hypothesis

Can a SNP marker set be as useful as a traditional microsatellite marker set for linkage-based genome scans?

Conclusion

The SNP-based genome scan has the potential to be as powerful as the traditional microsatellite-based scan.

Supporting Evidence

  • Both SNP and microsatellite scans identified a similar number of chromosomal regions with nominal significance.
  • Confirmed linkage evidence was found for chromosome 1 in AI families and chromosomes 1 and 3 in DA families.
  • Fine-mapped association analysis identified markers significantly associated with disease status in each population.

Takeaway

This study looked at two ways to find genes that might cause diseases, using different types of markers. They found that both methods work well, but the SNP method might be just as good as the older method.

Methodology

The study compared linkage results from SNPs and microsatellites in 300 nuclear families across three populations using genome-wide scans.

Limitations

The SNP scan had lower information content compared to the microsatellite scan.

Participant Demographics

Nuclear families from Aipotu, Danacaa, and Karangar populations.

Statistical Information

P-Value

2 × 10-5

Statistical Significance

p<0.05

Digital Object Identifier (DOI)

10.1186/1471-2156-6-S1-S25

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