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My research collaborators: !"#$%&'(%)*+%,%* - PowerPoint PPT Presentation

My research collaborators: !"#$%&'(%)*+%,%* -".'/+0)1*%2 Can you match these dogs to each behavior? a) Tracking b) Racing c) Herding d) Companionship -".'/+0)1*%2 Can you match these dogs to each behavior? a) Tracking


  1. My research collaborators:

  2. !"#$%&'(%)*+%,%*

  3. -".'/+0)1*%2 Can you match these dogs to each behavior? a) Tracking b) Racing c) Herding d) Companionship

  4. -".'/+0)1*%2 Can you match these dogs to each behavior? a) Tracking b) Racing c) Herding d) Companionship

  5. Can you match these dogs to each behavior? Dachshund a) Tracking b) Racing c) Herding d) Companionship

  6. -".'/+0)1*%2 Can you match these dogs to each behavior? a) Tracking Greyhound b) Racing c) Herding d) Companionship

  7. Can you match these dogs to each behavior? a) Tracking b) Racing Border Collie c) Herding d) Companionship

  8. Can you match these dogs to each behavior? a) Tracking b) Racing c) Herding Pekingese d) Companionship

  9. -".'/+0)1*%2 b) Racing d) Companionship c) Herding Can you match these dogs to each behavior? a) Tracking b) Racing a) Tracking c) Herding d) Companionship

  10. What kind of diseases do dogs get?

  11. The same ones people get! Blindness Deafness Cancer Diabetes Heart Disease Epilepsy Arthritis and more ... So why study dogs instead of humans?

  12. “Mapping” genes: Which genes are different?

  13. AAAGGTCAGGGTTGCATTTCCCTTCCTTGCTTCTCGATGGGTGATTAATTTTTTTTGAAATACGGACGTCCCAAGGCCAATGAGACTGGTGTCATTCCA GAAAAGGGCCACTCTGTGGGTGGGTCGGTGGGAAGGCACCTGAGGGTGGGGTCAAGGGAGGCCCCAAAACAGTCTACACAGCAGGAGGGATGGCTGGGG CTCTTGAGCTATAAGTGGCACCTCAGGGCCCTGACGGGCGTCTTGCCATGCTGCTCCTGGGCCTGCTGCTGCTGCTGCCCCTGCTGGCTGGCGCCCGCC TGCTGTGGAACTGGTGGAAGCTCCGGAGCCTCCACCTCCTGCCTCTTGCCCCGGGCTTCTTGCACCTGCTGCAGCCCGACCTCCCCATCTATCTGCTTG GCCTGACTCAGAAATTCGGGCCCATCTACAGGCTCCACCTTGGGCTGCAAGGTGAGAGGCTGATCTCGCTCTGGCCCTCACCATAGGAGGGGGCGGAGG TGACGGAGAGGGTCCTCTCTCCGCTGACGCTGCTTTGGCTGTCTCCCAGATGTGGTGGTGCTGAACTCCAAGAGGACCATTGAGGAAGCCATGGTCAAA AAGTGGGCAGACTTTGCTGGCAGACCTGAGCCACTTACCTGTAAGGGCCGGGGGCATTTTTTCTTTCTTAAACAAATTTTTTTTTTGTTAGAGATGGGG TCTTGCTATGTTGCCCAGGCTGGTCTTGAATTCCTGGTCTCAAGTGATCCTCCCACCTCGGCCTCAAGTGGGAGCCACCTTCGGGGGCTTCCCCAATCC TCCAGGTCACTGGAAGCTCTTGGGGGGCATATCTTCAGGAGAAGAAGCAGGTGTTGAGGAGGCAGAAGAAGGTCAGGCCCTCGGCTTCCTTGGTCAGTT CCCACCCTCCAGCCCCCAGCTCCTCCTGCAGACAAGCTGGTGTCTAAGAACTACCCGGACCTGTCGTTGGTCTCTGCTCTGGAAAGCCCACAAGAAGCT CACCCGCTCAGCCCTGCTGCTGGGCATCCGTGACTCCATGGAGCCAGTGGTGGAGCAGCTGACCCAGGAGTTCTGTGAGGTAAGGCTGGGCTCCTGAGG CCACCTCGGGTCAGCCTCGCCTCTCACAGTAGCCCCCGCCCTGCCCGCTGCACAGCGGCCTGCTGAACTCACACTGTTTCTCCACAGCGCATGAGAGCC CAGCCCGGCACCCCTGTGGCCATTGAGGAGGAATTCTCTCTCCTCACCTGCAGCATCAACTGTTACCTCACCTTCGGAGACAAGATCAAGGTGCCTCAC AGCCCCTCAGGCCCACCCCCAGCCCCTCCCTGAGCCTCTCCTTGTCCTGAACTGAAAGTACTCCATCCTTTCCTGGCAGGAGGACAACTTAATGCCTGC CTATTACAAATGTATCCAGGAGGTGTTAAAAACCTGGAGCCACTGGTCCATCCAAATTGTGGACGTGATTCCCTTTCTCAGGGTGAGGACCTGGAGCCT AGACACCCCTGGGTTGTAGGGGAGAGGCTGGGGTGGAGGGAGAGGCTCCTTCCCACAGCTGCATTCTCATGCTTCCTGCCGCAGTTCTTCCCCAATCCA GGTCTCCGGAGGCTGAAGCAGGCCATAGAGAAGAGGGACCACAACGAGGAGAAGCAGCTGAGGCAGCACAAGGTGGGGACTGTGTGTGGACGGCCTCCC CTCGGCCCACAGCCAGTGATGCTACCGGCCTCAGCATTGCTATGAGGCGGGTTCTTTTGCATACCCCAGTTATGGGCCTGTTGCCACTCTGTACTCCTC TCCCCAGGCCAGCCGCTCAGCCCGCTCCTTTCACCCTCTGCAGGAGAGCCTGGTGGCAGGCCAGTGGAGGGACATGATGGACTACATGCTCCAAGGGGT GGCGCAGCCGAGCATGGAAGAGGGCTCTGGACAGCTCCTGGAAGGGCACTTGCACATGGCTGCAGTGGACCTCCTGATCGGTGGCACTGAGACCACAGC AAACACCCTCTCCTGGGCCGTGGTTTTTTTTGCTTCACCACCCTGAGGTGCGTCCTGCGGACAAGCAAAAGGCTCCTTCCCAGCAACCTGGCCAGGGCG GTGGGCACCCTCACTCAGCTCTGAGCACTGTGCGGCTGGGGCTGTGCTTGCCTCACCGGCACTCAGGCTCACTGGGTTGCTGAGGGAGCGGCTGGAGGC TGGGCAGCTGTGGGCTGCTGGGGCAGGACTCCACCCGATCATTCCCCAGATTCAGCAGCGACTGTAGGAGGAGCTAGACCACGAACTGGGCCCTGGTGC CTCCAGCTCCCGGGTCCCCTACAAGGACCGTGCACGGCTGCCCTTGCTCAATGCCACCATCGCCGAGGTGCTGCGCCTGTGGCCCGTTGTGCCCTTAGC CTTGCCCCACCGCACCACACGGCCCAGCAGGTGACTCCCGAGGGTTGGGGATGAGTGAGGAAAGCCCGAGCCCAGGGAGGTCCTGGCCAGCCTCTAACT CCAGCCCCCTTCAGCATCTCCGGCTACGACATCCCTGAGGGCACAGTCATCATTCCGAACCTCCAAGGCGCCCACCTGGATGAGACGGTCTGGGAGAGG CCACATGAGTTCTGGCCTGGTATGTGGGGGGCCGGGGGCCTGCCATGAAAATGTGGTGGAGGCTGGTCCCCGCTGCCGCTGAACGCCTCCCCACCCACC TGTCCACCCGCCCGCAGATCGCTTCCTGGAGCCAGGCAAGAACTCCAGAGCTCTGGCCTTCGGCTGCGGTGCCCGCGTGTGCCTGGGCGAGCCGCTGGC GCGCCTGGAGCTCTTCGTGGTGCTGACCCGACTGCTGCAGGCCTTCACGCTGCTGCCCTCCGGGGACGCCCTGCCCTCCCTGCAGCCCCTGCCCCACTG CAGTGTCATCCTCAAGATGCAGCCTTTCCAAGTGCGGCTGCAGCCCCGGGGGATGGGGGCCCACAGCCCAGGCCAGAACCAGTGATGGGGCAGGACCGA TGCCAGCCGGGTACCTCAGTTTCTCCTTTATTGCTCCCGTACGAACCCCTCCCCTCCCCCCTGTAAACACAGTGCTGCGAGATCGCTGGCAGAGAAGGC TTCCTCCAGCGGCTGGGTGGTGAAGGACCCTGGCTCTTCTCTCGGGGCGACCCCTCAGTGCTCGGCAGTCATACTGGGGTGCGAGAGAGGTGGGCAGCA GCTCAGCCTCCCCCCGCTGGGGAGCGAAAGTTTCTTGGTCTCAGCTTCATTTCCGTGAAGGGCACCGAGAACTCGAAGCCCTTCCAGTGGTACCAGCTC ACTCCCTGGGAAAGGGGTTGTCAAGAGAGAGTCAAAGCCGGATGTCCCATCTGCTCCTCCCGTTCCCCTTAAGGAGGTGGCTCCCAGCACTCAACCAAC CTCCCCGCAGAGCTCCCTTCCTGACCCTCTGCCGCAGAGGATTGAGGCTTAATCCTGAGCTGGTCCTTTCCAGCCAATAAATCAACTCCAGCTCCCTCT GCGAGGCTGGCATGATTGTTCCATTTCACCCAGCCGCTCAGTCCCTTGCCTGTTACACTGTGGGGCTGAAACCTAGGCAGGCCGAGCCCCAGCCACCCC AGCTCTGAGCCGCCTCCCCACCCCTCACCTGATGGTCCACTGTGCTCCCGTAGAGCCCGTTGAGGTTGGCGTAGTGGCAGTTCCTGTACCACCAGGCCC CTCGGTAGGAGACAGCGCAGGAGATGAGCAAGCTGTTGGGGTCCCGATCACGGGCAGAGAAGACACTGCCGCTGTGGTAGCTCATGGAGTCCCCTGGGC

  14. AATTGCTCCCGTACGAACCCCTCCCCTCCCCC CTGTAAACACAGTGCTGCGAGATCGCTGGCAG AGAAGGCTTCCTCCAGCGGCTGGGTGGTGAAG GACCCTGGCTCTTCTCTCGGGGCGACCCCTCA GTGCTCGGCAGTCATACTGGGGTGCGAGAGAG GTGGGCAGCAGCTCAGCCTCCCCCCGCTGGGG AGCGAAAGTTTCTTGGTCTCAGCTTCATTTCC AATTGCTCCCGTACGAACCCCTCCCCTCCCCC CTGTCAACACAGTGCTGCGAGATCGCTGGCAG AGAAGGCTTCCTCCAGCGGCTGGGTGGTGAAG GACCCTGGCTCTTCTCTCGGGGCGACCCCTCA GTGCTCGGCAGTCATACTGGGTTGCGAGAGAG GTGGGCAGCAGCTCAGCCTCCCCCCGCTGGGG AGCGAAAGTTTCTTGGTCTCAGCTTCATTTCC SNP SNP

  15. How many letters of DNA do you think make up all the DNA in the nucleus of one dog cell nucleus? What percentage of those letters do you think would be different if you compared the DNA from two dogs of the same breed?

  16. 2,445,000,000 letters per cell

  17. 1 change (SNP) per 1600 letters About 1,500,000 differences between two dogs in the same breed

  18. 1 change (SNP) per 1600 letters We can map genes by testing about 1 in 10 changes (170,000 SNPs)

  19. Let � s map a gene! sometimes deaf

  20. vs.

  21. 1) Collect blood sample 2) Extract DNA 3) Put DNA on chip to measure SNPs 4) Put chip on scanner 5) Analyze data

  22. Liquid handler

  23. 1) Collect blood sample 2) Extract DNA 3) Put DNA on chip to measure SNPs 4) Put chip on scanner 5) Analyze data

  24. Genotyping machine robot

  25. 1) Collect blood sample 2) Extract DNA 3) Put DNA on chip to measure SNPs 4) Put chip on scanner 5) Analyze data

  26. … C A C G A T T C G A T G A A C G T … … C A C G A T T C G A T G G A C G T … … C A C G A T T C G A T G G A C G T … … C A C G A T T C G A T G G A C G T … … C A C G A T A C G A T G G A C G T … … C A C G A T A C G A T G A A C G T … … C A C C A T A C G A T G A A C G T … … C A C G A T A C G A T G A A C G T … 100% Correlated SNP

  27. … C A C G A T T C G A T G A A C G T … … C A C G A T T C G A T G G A C G T … … C A C G A T T C G A T G G A C G T … … C A C G A T T C G A T G G A C G T … … C A C G A T A C G A T G G A C G T … … C A C G A T A C G A T G A A C G T … … C A C C A T A C G A T G A A C G T … … C A C G A T A C G A T G A A C G T … Somewhat correlated SNP

  28. High Low Intermediate Score Score Score

  29. PLINK

  30. Genome-wide mapping strength of correlation Chromosome

  31. T T C G G C

  32. Chromosome 20 between letters 24,827,321 and 24,992,128

  33. Chromosome 20 between letters 24,827,321 and 24,992,128 3333'41)56"&2'+&')7%')7+2'.%&%'0512%'51$+)"*89 /+.4%&)5*8'28&$*"4%2'3333

  34. We mapped the gene: MITF! sometimes deaf

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