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Functional single nucleotide polymorphism-based association studies.

Victoria E H Carlton1, James S Ireland, Francisco Useche

  • 1ParAllele BioScience (Now Affymetrix, Inc), 7300 Shoreline Boulevard, South San Francisco, CA 94080, USA.

Human Genomics
|July 20, 2006
PubMed
Summary
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Functional single nucleotide polymorphism (SNP) association studies are evolving. Advances in comparative genomics will soon enable comprehensive studies of both common and rare disease-causing genetic variants.

Area of Science:

  • Genetics
  • Genomics
  • Bioinformatics

Background:

  • Association studies are crucial for understanding disease genetics.
  • Current methods like linkage disequilibrium (LD) struggle with rare variants, while functional SNP studies are limited by prediction accuracy.

Purpose of the Study:

  • To explore how advances in comparative genomics can enhance functional SNP association studies.
  • To enable comprehensive assessment of both common and rare genetic variants in disease.

Main Methods:

  • Leveraging comparative genomics to identify functional elements in conserved genomic regions.
  • Utilizing SNP genotyping technologies for variant analysis.
  • Integrating SNP discovery and validation efforts, including targeted discovery for rare alleles.

Related Experiment Videos

Main Results:

  • Comparative genomics offers a promising approach to overcome limitations in predicting SNP function.
  • Functional SNP association studies can be made comprehensive for common and rare alleles.

Conclusions:

  • Progress in comparative genomics is poised to revolutionize functional SNP association studies.
  • Future research requires continued genomic sequencing, functional analysis of conserved sequences, and enhanced SNP discovery.