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[Single nucleotide polymorphisms(SNPs)and SNP databases].

H F Gu1

  • 1Centrum for Genomics Research, Karolinska Institute, SE-171 77 Stockholm, Sweden. harvest.gu@cgr.ki.se

Zhonghua Yi Xue Yi Chuan Xue Za Zhi = Zhonghua Yixue Yichuanxue Zazhi = Chinese Journal of Medical Genetics
|January 5, 2002
PubMed
Summary
This summary is machine-generated.

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See all related articles

Human genome sequencing advances highlight the utility of DNA variation data for studying population genetics and complex diseases. Development of single nucleotide polymorphism (SNP) databases globally aids research and biomedical development.

Area of Science:

  • Genomics
  • Population Genetics
  • Bioinformatics

Context:

  • The human genome sequencing project has generated vast amounts of DNA variation data.
  • This data is crucial for understanding human origins, evolution, and genetic variability.
  • Genetic association studies for complex diseases like diabetes and Alzheimer's rely on this data.

Purpose:

  • To review the development and applications of single nucleotide polymorphism (SNP) databases.
  • To discuss improvements in the accuracy of collected SNP data.
  • To emphasize the importance of developing SNP databases for specific populations, such as the Chinese population.

Summary:

  • Several international SNP databases (dbSNP, CGAP, HGBASE, JST, Go!Poly) have been established.
  • These databases collect and exploit genomic polymorphism data, primarily SNPs.

Related Experiment Videos

  • The overview covers database development, applications, and data accuracy considerations.

    • Impact:

    • SNP databases are vital tools for genetic research and disease association studies.
    • Developing comprehensive SNP databases, including those for large populations like China, is essential.
    • Such developments can significantly advance biomedical research and production within China and globally.