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Related Experiment Video

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Robust 3D DNA FISH Using Directly Labeled Probes
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A 3.9-centimorgan-resolution human single-nucleotide polymorphism linkage map and screening set.

Tara C Matise1, Ravi Sachidanandam, Andrew G Clark

  • 1Department of Genetics, Rutgers University, Piscataway, NJ, 08840, USA. matise@biology.rutgers.edu

American Journal of Human Genetics
|July 5, 2003
PubMed
Summary

This study introduces a novel single-nucleotide polymorphism (SNP) screening set and linkage map, crucial for efficient genomewide association studies. This resource aids in rapidly scanning genomes for disease genes, offering improved informativeness over existing methods.

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Area of Science:

  • Genetics
  • Genomics
  • Bioinformatics

Background:

  • High-throughput single-nucleotide polymorphism (SNP) genotyping technologies have advanced, making them suitable for genomewide linkage analysis.
  • A comprehensive SNP screening set and linkage map were previously lacking for efficient disease gene discovery.

Purpose of the Study:

  • To develop and characterize a robust SNP screening set and linkage map for genomewide association studies.
  • To provide a valuable resource for accelerating the identification of disease-associated genes.

Main Methods:

  • Evaluation of 6,297 SNPs for assay robustness, allele frequencies, and cluster informativeness in diverse populations.
  • Genotyping of 2,988 SNPs in 56 Centre d'Etude du Polymorphisme Humain pedigrees for linkage map construction.
  • Extensive genotyping error analysis and comparison with existing physical and linkage maps.

Main Results:

  • Development of an SNP linkage map with an average resolution of 3.9 cM, featuring single or tightly linked SNPs.
  • The generated map demonstrates favorable marker order compared to other established maps.
  • The SNP screening set proved more informative than the commonly used Marshfield Clinic microsatellite set.

Conclusions:

  • The developed SNP screening set and linkage map represent a significant advancement for genomewide linkage analysis.
  • This resource facilitates faster and more efficient genome scanning for identifying disease genes.
  • The map provides insights into recombination rates across human chromosomes.