Mining SNP Markers for Admixture Mapping
Author Information
Author(s): Baye Tesfaye, Tiwari Hemant K, Allison David B, Go Rodney C
Primary Institution: University of Alabama at Birmingham
Hypothesis
Can data mining of SNP databases identify ancestry informative markers for admixture mapping?
Conclusion
The selected SNP sets represent valuable resources for admixture mapping studies.
Supporting Evidence
- Over 4 million SNPs were compared between Africans and Europeans.
- 15% of HapMap, 11% of Affymetrix, and 14% of Illumina SNP sets were identified as candidate SNPs.
- All marker information is freely available without restriction.
Takeaway
Researchers looked at genetic markers to help understand how different ancestries mix in people, which can help find genes related to diseases.
Methodology
Data mining was performed using SNP databases from HapMap, Affymetrix, and Illumina to identify candidate SNPs based on allele frequency differences.
Potential Biases
Differences in SNP allele frequencies across platforms may introduce bias in the selection of markers.
Limitations
The study relied on data from different databases with varying sample sizes and methods, which may affect the robustness of the conclusions.
Participant Demographics
The study included SNP data from African and European populations.
Digital Object Identifier (DOI)
Want to read the original?
Access the complete publication on the publisher's website