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Human SNPs in genes

Tutorial and training materials by OpenHelix

Learn to use SeattleSNPs with this free tutorial, sponsored by SeattleSNPs. SeattleSNPs identifies, genotypes, and models the associations between single nucleotide polymorphisms (SNPs) in candidate genes and pathways that underlie inflammatory responses in humans. Users can visualize these high-density SNPs and access the underlying data in many forms--both text and graphical representations. This is an invaluable tool for any researcher working with single nucleotide polymorphisms (SNPs).

You'll learn:

  • about the process SeattleSNPs uses to generate high-quality genotyping data
  • how to find genes of interest to your research
  • to examine the detailed data available from SeattleSNPs
  • about educational opportunities provided by the SeattleSNPs team

Related tutorials

This tutorial is a part of the tutorial group UW SNP resources. You might find the other tutorials in the group interesting:

  • Genome Variation Server (GVS): A database providing rapid access to human genotype data and analysis tools.
  • NIEHS SNPs: National Institute for Environmental Health Sciences Environmental Genome Project (EGP) SNPs


View additional tutorials for resources in

Recent BioMed Central research articles citing this resource

Resler J Alexa et al., Genetic variation in TLR or NFkappaB pathways and the risk of breast cancer: a case-control study Genetics, genomics and epigenetics. BMC Cancer (2013) doi:10.1186/1471-2407-13-219

Nolan K Daniel et al., Fine mapping of a linkage peak with integration of lipid traits identifies novel coronary artery disease genes on chromosome 5. BMC Genetics (2012) doi:10.1186/1471-2156-13-12

Yao Song et al., Variants in the vitamin D pathway, serum levels of vitamin D, and estrogen receptor negative breast cancer among African-American women: a case-control study. Breast Cancer Research (2012) doi:10.1186/bcr3162

Webb A Elizabeth et al., Difficulties in finding DNA mutations and associated phenotypic data in web resources using simple, uncomplicated search terms, and a suggested solution. Human Genomics (2011) doi:10.1186/1479-7364-5-3-141

Cagliani Rachele et al., Balancing selection is common in the extended MHC region but most alleles with opposite risk profile for autoimmune diseases are neutrally evolving. BMC Evolutionary Biology (2011) doi:10.1186/1471-2148-11-171

More about the resource:

SeattleSNPs was one of the earliest large-scale genotyping projects that examined variations in the human genome. Megabases and megabases of DNA from many individuals have been extensively studied, and informative variations have been discovered. SeattleSNPs is a member of the National Heart, Lung, and Blood Institute (NHLBI) special Program for Genomic Applications.

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The materials and slides offered can not be resold or used for profit purposes. Reproduction, distribution and/or use is strictly limited to instructional purposes only and can not be used for for monetary gain or wide distribution.
Copyright 2009, OpenHelix, LLC.

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