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Related Experiment Videos

SNP@Ethnos: a database of ethnically variant single-nucleotide polymorphisms.

Jungsun Park1, Sohyun Hwang, Yong Seok Lee

  • 1Korean BioInformation Center, KRIBB, Daejeon 305-806, Korea. pj518@kribb.re.kr

Nucleic Acids Research
|December 1, 2006
PubMed
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Researchers identified 100,736 ethnically variant single-nucleotide polymorphisms (ESNPs) using the International HapMap Project data. This discovery aids in understanding human genetic variation and its role in differentiation.

Area of Science:

  • Genetics
  • Bioinformatics
  • Population Genetics

Background:

  • Inherited genetic variation significantly influences human differentiation, but its role remains largely uncharacterized.
  • The completion of the International HapMap Project provides a valuable resource for identifying genetic loci associated with human differentiation.

Purpose of the Study:

  • To develop and apply a novel approach for identifying ethnically variant single-nucleotide polymorphisms (ESNPs).
  • To analyze the functional and disease associations of identified ESNPs.
  • To create a publicly accessible database of ESNPs.

Main Methods:

  • Utilized the International HapMap database genotype profiles to identify ESNPs.
  • Employed the nearest shrunken centroid method (NSCM) for ESNP selection.

Related Experiment Videos

  • Conducted genetic heterogeneity and frequency spectrum tests on genes with ESNPs.
  • Annotated the function and disease association of selected SNPs.

    • Main Results:

    • Identified 100,736 SNPs unique to specific ethnic groups.
    • Found 1,009 ESNPs located within disease-associated genes.
    • Predicted 85 ESNPs as damaging using the Sorting Intolerant From Tolerant (SIFT) system.
    • Established the SNP@Ethnos database containing 100,736 ESNPs from 10,138 genes.

    Conclusions:

    • The study successfully identified a substantial number of ethnically variant SNPs, contributing to the understanding of human genetic diversity.
    • The SNP@Ethnos database provides a valuable resource for researchers studying genetic variation and its impact on human traits and diseases.
    • This work facilitates detailed genetic variation analysis for a broader research community.