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Computational Molecular Biology Biochem 218 – BioMedical Informatics 231 http://biochem218.stanford.edu/ http://biochem218.stanford.edu/ Simple Nucleotide Polymorphisms (SNPs) Doug Brutlag Professor Emeritus Biochemistry & Medicine (by courtesy)
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Frequency of SNPs in the Human Genome mutations Simple
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SNPs & InDels in HuRef Autosomes
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2007 Scientific Breakthrough of the Year
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Single (Simple) Nucleotide Polymorphisms (SNPs) SNPs are used for identification and forensics SNPs are used for mapping and genome-wide association studies of complex diseases SNPs are used for estimating predisposition to disease SNPs are used for immigration & citizenship in the UK SNPs are used to predict specific genetic traits SNPs are used for classifying patients in clinical trials GCTGTATGACTAGAAGATCGAT GCTGTATGACGAGAAGATCGAT
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Orchid Cellmark Ltd. http://www.cellmark.co.uk/ http://www.cellmark.co.uk/
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A SNP Primer at NCBI http://www.ncbi.nlm.nih.gov/About/primer/snps.html http://www.ncbi.nlm.nih.gov/About/primer/snps.html
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Department of Energy (DOE) SNP Page http://www.ornl.gov/sci/techresources/Human_Genome/faq/snps.shtml http://www.ornl.gov/sci/techresources/Human_Genome/faq/snps.shtml
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Simple Nucleotide Polymorphisms (SNPs) Most SNPs are genetically neutral o Forensics o Paternity tests o Immigration in the United Kingdom o Follow ethnic migrations o Clinical trials However SNPs can reflect distinguishing characteristics o Predisposition to disease o Insurability and employment => GINA, December 7, 2009 o Often the basis for discrimination or other stigma Some variations cause disease. Unlike SNPs, these variations are usually very rare. SNPs can serve as genetic markers for other traits o Clinical trials associate SNPs with drug efficacy o Clinical trials associate SNPs adverse drug reactions o Consumer genomics associate SNPs with many other traits 23andMe, Navigenics, DNADirect 23andMeNavigenicsDNADirect
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Carrier Frequency of Cystic Fibrosis Alleles http://www.ncbi.nlm.nih.gov/bookshelf/br.fcgi?book=gene&part=cf http://www.ncbi.nlm.nih.gov/bookshelf/br.fcgi?book=gene&part=cf
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Carrier Frequency of Gaucher’s Alleles http://www.ncbi.nlm.nih.gov/bookshelf/br.fcgi?book=gene&part=gaucher http://www.ncbi.nlm.nih.gov/bookshelf/br.fcgi?book=gene&part=gaucher
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Eric Green’s View of SNPs (Director of NHGRI)
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Types of SNPs http://www.ncbi.nlm.nih.gov/sites/entrez?db=snp http://www.ncbi.nlm.nih.gov/sites/entrez?db=snp Noncoding SNPs o 5’ UTR o 3’ UTR o Introns o Intergenic Regions o Pseudogenes o Regulatory Splicing Transcriptional regulation (promoter & TF binding sites) Translational regulation (initiation or termination) Regulatory miRNA target sites Coding SNPs o Synonymous SNPs (third position variation) o Replacement SNPs (change Amino acid) Functional SNPs (acceptable amino acid replacement) Non-functional SNPs (traits & diseases)
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Human Promoter SNPs © Gibson & Muse, A Primer of Genome Science
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Human Beta Hemoglobin Gene http://www.ncbi.nlm.nih.gov/gene/3043?ordinalpos=3&itool=EntrezSystem2.PEntrez.Gene.Gene_ResultsPanel.Gene_RVDocSum
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Human Beta Hemoglobin Gene SNPs
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Beta-hemoglobin GeneView in dbSNP
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One -Hemoglobin SNP
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GeneView of One -Hemoglobin SNP
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Diversity of One -Hemoglobin SNP
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SNP Variation Viewer
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OMIM SNP Variations
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dbSNP at NCBI http://www.ncbi.nlm.nih.gov/SNP/ http://www.ncbi.nlm.nih.gov/SNP/
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Origin of Haplotypes © Gibson & Muse, A Primer of Genome Science
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Linkage Disequilibrium and Recombination Rate © Gibson & Muse, A Primer of Genome Science
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Linkage Disequilibrium (LD) Across the Human LPL Gene © Gibson & Muse, A Primer of Genome Science
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Recombination hotspots are widespread and account for LD structure 7q21 © Gibson & Muse, A Primer of Genome Science
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Recombination hotspots are widespread and account for LD structure 7q21 © Gibson & Muse, A Primer of Genome Science
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Observation of Haplotypes © Gibson & Muse, A Primer of Genome Science
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SNPs in Populations © Gibson & Muse, A Primer of Genome Science
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Sequence and Distance-Based Phylogenies (evolutionary trees) Sequence-Based Methods (Parsimony) o Assigns mutations to branches o Minimize number of changes o Topology maximizes similarity of neighboring leaves Distance-based methods o Branch lengths = D(i,j)/2 for sequences i, j o Distances must be metric o Distances can reflect time or number of changes o Distances must be relatively constant per unit branch length
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© Francis Collins, 2008
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International HapMap Project http://www.hapmap.org/ http://www.hapmap.org/
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International HapMap Project http://www.hapmap.org/ http://www.hapmap.org/
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International HapMap Project http://www.hapmap.org/ http://www.hapmap.org/
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International HapMap Project http://www.hapmap.org/ http://www.hapmap.org/
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International HapMap Project http://www.hapmap.org/ http://www.hapmap.org/
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Thousand Genomes Organization http://www.1000genomes.org/ http://www.1000genomes.org/
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Thousand Genomes Organization http://www.1000genomes.org/ http://www.1000genomes.org/
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10,000 Genomes Project Evolutionary Biology http://www.genome.gov/ http://www.genome.gov/
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