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Infinium Assay for Large-scale SNP Genotyping Applications
13:33

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Published on: November 19, 2013

High-density SNP genotyping to define beta-globin locus haplotypes.

Li Liu1, Shalini Muralidhar, Manisha Singh

  • 1Department of Molecular and Cell Biology, Sickle Cell Disease Research Center, University of Texas at Dallas, Richardson, TX 75083, USA.

Blood Cells, Molecules & Diseases
|October 3, 2008
PubMed
Summary

High-density SNP mapping offers a more detailed view of beta-globin locus haplotypes in sickle cell disease (SCD) than traditional RFLP analysis. This improved resolution may help correlate haplotypes with clinical phenotypes.

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Area of Science:

  • Genetics
  • Molecular Biology
  • Hematology

Background:

  • Sickle cell disease (SCD) is associated with five major beta-globin locus haplotypes.
  • Traditional Restriction Fragment Length Polymorphism (RFLP) analysis has limitations in accurately defining these haplotypes.
  • Previous attempts to link RFLP-defined haplotypes to SCD clinical phenotypes have been unsuccessful.

Purpose of the Study:

  • To investigate whether high-density single nucleotide polymorphism (SNP) genotyping improves beta-haplotype resolution compared to RFLP analysis.
  • To determine if a denser mapping approach can better reflect the genomic complexity of the beta-locus.
  • To explore the potential of high-density SNP mapping for correlating beta-haplotypes with SCD clinical phenotypes.

Main Methods:

  • Performed RFLP analysis and high-density SNP genotyping across the beta-locus.
  • Utilized DNA samples from healthy African Americans with normal hemoglobin A (HbAA) and individuals with homozygous SS (HbSS) disease.
  • Employed Haploview analysis on data from 88 SNPs.

Main Results:

  • High-density SNP genotyping generated a greater number of haplotypes than RFLP analysis alone.
  • Observed a unique pattern of long-range linkage disequilibrium between the locus control region and beta-like globin genes in the HbSS group.
  • Identified multiple SNPs within a single RFLP site, demonstrating RFLP's inability to capture sequence variation complexity.

Conclusions:

  • RFLP analysis is insufficient for deciphering the complex sequence variations impacting the beta-locus genomic structure.
  • High-density SNP mapping provides a more accurate and detailed definition of beta-haplotypes.
  • Accurate beta-haplotype definition using high-density SNP mapping may be crucial for correlating haplotypes with diverse SCD clinical phenotypes.