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Genetic polymorphisms and implications for human diseases.

Orapan Sripichai1, Suthat Fucharoen

  • 1Thalassemia Research Center, Institute of Science and Technology for Research and Development, Mahidol University, Phutthamonthon, Nakhonpathom, Thailand.

Journal of the Medical Association of Thailand = Chotmaihet Thangphaet
|March 23, 2007
PubMed
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Single nucleotide polymorphisms (SNPs) are key DNA variations for understanding inherited diseases. SNP analysis helps explore genetic influences on disease susceptibility and drug responses, advancing healthcare.

Area of Science:

  • Genomics
  • Human Genetics
  • Molecular Biology

Background:

  • The human genome project generated vast genomic data, driving research into inherited and complex disorders.
  • High-throughput profiling technologies enable large-scale analysis of genetic variations.
  • Single nucleotide polymorphisms (SNPs) are crucial DNA sequence variations utilized in genomic studies.

Purpose of the Study:

  • To highlight the significance of SNPs in understanding human health and disease.
  • To explore the application of SNP analysis in disease susceptibility and drug response.
  • To emphasize the role of SNP databases in genetic association studies.

Main Methods:

  • Leveraging genomic information and high-throughput profiling technologies.
  • Analyzing single nucleotide polymorphisms (SNPs) for disease association.

Related Experiment Videos

  • Utilizing SNP databases for phenotype-genotype correlation.
  • Main Results:

    • SNP analysis provides insights into genetic polymorphisms influencing disease susceptibility.
    • SNP data aids in understanding drug sensitivity and resistance.
    • Genomic approaches enhance the understanding of genetic and non-genetic factors in health and disease.

    Conclusions:

    • SNPs are vital tools for deciphering the genetic basis of human diseases.
    • SNP analysis facilitates personalized medicine by predicting drug responses.
    • Genomic research, including SNP analysis, promises improved healthcare outcomes.