crowdsourcing gwas
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The slides of the talk of @PhilippBayer and I gave on the 28th Chaos Communication Congress. Sources can be found here: https://github.com/drsnuggles/opensnp28c3TRANSCRIPT
- 1. Introduction Open GWAS Privacy & Implications Discussion Crowdsourcing Genome Wide AssociationStudies Bastian Greshake and Philipp Bayer 28.12.2011
2. IntroductionOpen GWASPrivacy & Implications DiscussionOverview 1 IntroductionAssociation studies? 2 Open GWAS In company vaults Out of vaults 3 Privacy & Implications Some Implications Consequences 4 Discussion Outlook 3. IntroductionOpen GWAS Privacy & Implications DiscussionAssociation studies?What are GWAS?Genome-wide Association Studies 4. Introduction Open GWASPrivacy & Implications DiscussionAssociation studies?What are GWAS?Genome-wide Association StudiesLink genetic variants (SNPs) to certain traits like eye orhair colour or to diseases like Diabetes, types of cancer 5. Introduction Open GWAS Privacy & Implications DiscussionAssociation studies?Single Nucleotide Polymorphism Source: http://en.wikipedia.org/wiki/File:Dna-SNP.svg 6. Introduction Open GWASPrivacy & Implications DiscussionAssociation studies?How to analyse SNPs? Source: http://en.wikipedia.org/wiki/File:NA hybrid.svg 7. Introduction Open GWAS Privacy & Implications DiscussionAssociation studies?How do GWAS work? 8. Introduction Open GWAS Privacy & Implications DiscussionAssociation studies?How do GWAS work? 9. Introduction Open GWAS Privacy & Implications DiscussionAssociation studies?How do GWAS work? 10. Introduction Open GWAS Privacy & Implications DiscussionAssociation studies?How do GWAS work? 11. Introduction Open GWAS Privacy & Implications DiscussionAssociation studies?Some GWAS-examplesSladek et al. (2007) identied four gene locations linkedto heightened type 2 diabetes risk 12. Introduction Open GWAS Privacy & Implications DiscussionAssociation studies?Some GWAS-examplesSladek et al. (2007) identied four gene locations linkedto heightened type 2 diabetes riskKogan et al. (2011) linked rs53576 (G:G) to pro-socialbehaviour 13. Introduction Open GWAS Privacy & Implications DiscussionAssociation studies?Some GWAS-examplesSladek et al. (2007) identied four gene locations linkedto heightened type 2 diabetes riskKogan et al. (2011) linked rs53576 (G:G) to pro-socialbehaviourThe Wellcome Trust Case Control Consortium (2007)linked 24 locations to 7 major diseases 14. IntroductionOpen GWASPrivacy & Implications DiscussionAssociation studies?Problems with GWASLarge enough sample size 15. Introduction Open GWASPrivacy & Implications DiscussionAssociation studies?Problems with GWASLarge enough sample sizeCorrecting for multiple testing 16. Introduction Open GWASPrivacy & Implications DiscussionAssociation studies?Problems with GWASLarge enough sample sizeCorrecting for multiple testingCorrelation != Causation 17. IntroductionOpen GWAS Privacy & ImplicationsDiscussionAssociation studies?Putting GWAS to useDirect-To-Consumer genetic testingAnalyse about 1 million SNPs and provide summary ofdisease risks & ancestryAbout $200 for a genotyping 18. IntroductionOpen GWAS Privacy & ImplicationsDiscussionAssociation studies?Putting GWAS to useDirect-To-Consumer genetic testingAnalyse about 1 million SNPs and provide summary ofdisease risks & ancestryAbout $200 for a genotypingProviders: 23andMe, deCODEme, FamilyTree DNA, ... 19. IntroductionOpen GWAS Privacy & ImplicationsDiscussionAssociation studies?Putting GWAS to useDirect-To-Consumer genetic testingAnalyse about 1 million SNPs and provide summary ofdisease risks & ancestryAbout $200 for a genotypingProviders: 23andMe, deCODEme, FamilyTree DNA, ...You get access to the raw data! 20. IntroductionOpen GWASPrivacy & Implications DiscussionIn company vaultsNumbers on DTC 23andMe alone has over 100.000 customers 21. Introduction Open GWASPrivacy & ImplicationsDiscussionIn company vaultsNumbers on DTC 23andMe alone has over 100.000 customers 76 % of their customers agree to participate in research 22. Introduction Open GWASPrivacy & Implications DiscussionIn company vaultsNumbers on DTC 23andMe alone has over 100.000 customers 76 % of their customers agree to participate in research 59 % of them share phenotypic information with 23andMe 23. Introduction Open GWAS Privacy & Implications DiscussionIn company vaultsResearch in company labs 23andMe published results of studies with up to 30.000 participants 24. Introduction Open GWAS Privacy & Implications DiscussionIn company vaultsResearch in company labs 23andMe published results of studies with up to 30.000 participants Replication of older GWAS 25. Introduction Open GWAS Privacy & Implications DiscussionIn company vaultsResearch in company labs 23andMe published results of studies with up to 30.000 participants Replication of older GWAS Finding new associations for Parkinsons disease 26. IntroductionOpen GWAS Privacy & Implications DiscussionOut of vaultsData sharingPeople are already sharing the raw data of DTC tests 27. IntroductionOpen GWAS Privacy & Implications DiscussionOut of vaultsData sharingPeople are already sharing the raw data of DTC tests1-5 % of 23andMe customers would be enough toperform simple GWAS 28. IntroductionOpen GWASPrivacy & ImplicationsDiscussionOut of vaultsData sharingPeople are already sharing the raw data of DTC tests1-5 % of 23andMe customers would be enough toperform simple GWASThe Personal Genome Project: Open data, but closedparticipation 29. IntroductionOpen GWAS Privacy & Implications DiscussionOut of vaultsWilling to share? 30. IntroductionOpen GWAS Privacy & Implications DiscussionOut of vaultsWilling to share? 31. Introduction Open GWASPrivacy & Implications DiscussionSome ImplicationsWhat can happen to your open data? Positive and negative consequences 32. IntroductionOpen GWAS Privacy & Implications DiscussionSome ImplicationsWhat can happen to your open data? Positive and negative consequencesPossibly extremely bad consequences 33. IntroductionOpen GWAS Privacy & Implications DiscussionSome ImplicationsWhat can happen to your open data? Positive and negative consequencesPossibly extremely bad consequences Up to you to decide whether you want to open your data 34. Introduction Open GWAS Privacy & Implications DiscussionConsequencesPositive consequences More knowledge about yourself 35. Introduction Open GWAS Privacy & Implications DiscussionConsequencesPositive consequences More knowledge about yourself Cheap, open science 36. IntroductionOpen GWASPrivacy & Implications DiscussionConsequencesPositive consequences More knowledge about yourself Cheap, open science Great data-source for citizen scientists 37. Introduction Open GWAS Privacy & Implications DiscussionConsequencesNegative consequences People know more about you than you might like 38. Introduction Open GWASPrivacy & Implications DiscussionConsequencesNegative consequences People know more about you than you might like Including your boss, insurance company, government... 39. Introduction Open GWASPrivacy & Implications DiscussionConsequencesNegative consequences People know more about you than you might like Including your boss, insurance company, government... Knowledge isnt static: Future research could show new, negative (or positive) associations. 40. Introduction Open GWASPrivacy & Implications DiscussionConsequencesNegative consequences People know more about you than you might like Including your boss, insurance company, government... Knowledge isnt static: Future research could show new, negative (or positive) associations. Personal SNPs very similar to parents and relatives 41. Introduction Open GWAS Privacy & Implications DiscussionConsequencesSomebody Elses Problem? A case study 42. Introduction Open GWAS Privacy & Implications DiscussionConsequencesSomebody Elses Problem? A case study 43. Introduction Open GWAS Privacy & Implications DiscussionConsequencesSomebody Elses Problem? A case study 44. IntroductionOpen GWAS Privacy & Implications DiscussionConsequencesPossible Solutions What about laws? 45. Introduction Open GWAS Privacy & Implications DiscussionConsequencesPossible Solutions What about laws? US: Genetic Information Nondiscrimination Act (GINA, 2008) 46. Introduction Open GWAS Privacy & Implications DiscussionConsequencesPossible Solutions What about laws? US: Genetic Information Nondiscrimination Act (GINA, 2008) Germany: Gendiagnostikgesetz (GenDG, 2010) 47. Introduction Open GWAS Privacy & Implications DiscussionFor those who still want to share: Open GWAS 48. Introduction Open GWAS Privacy & Implications DiscussionopenSNP No central repository for open genotypings! 49. Introduction Open GWAS Privacy & Implications DiscussionopenSNP No central repository for open genotypings! Weve created openSNP.org 50. Introduction Open GWASPrivacy & Implications DiscussionopenSNP No central repository for open genotypings! Weve created openSNP.org open source repository for CC0-genotypings from 23andme, deCODEme and others 51. Introduction Open GWAS Privacy & Implications Discussion... continued Allows users to annotate with phenotypes (hair colour, nicotine dependence, SAT-scores...) 52. Introduction Open GWAS Privacy & Implications Discussion... continued Allows users to annotate with phenotypes (hair colour, nicotine dependence, SAT-scores...) Everybody can download everything 53. Introduction Open GWAS Privacy & Implications Discussion... continued Allows users to annotate with phenotypes (hair colour, nicotine dependence, SAT-scores...) Everybody can download everything So far: 81 genotypings and 207 users 54. Introduction Open GWASPrivacy & Implications DiscussionConclusions Open GWAS are the future of personalised medicine 55. IntroductionOpen GWAS Privacy & Implications DiscussionConclusions Open GWAS are the future of personalised medicine Its in the hands of users to make or break the situation 56. IntroductionOpen GWAS Privacy & Implications DiscussionConclusions Open GWAS are the future of personalised medicine Its in the hands of users to make or break the situation Chance to take science into our own hands 57. IntroductionOpen GWAS Privacy & Implications DiscussionOutlookFuture of openSNP Weve won the PLoS/Mendeley Binary Battle 58. Introduction Open GWASPrivacy & Implications DiscussionOutlookFuture of openSNP Weve won the PLoS/Mendeley Binary Battle Got some funding to get more people (who are willing to share) genotyped (around 5000EUR) 59. Introduction Open GWASPrivacy & Implications DiscussionOutlookFuture of openSNP Weve won the PLoS/Mendeley Binary Battle Got some funding to get more people (who are willing to share) genotyped (around 5000EUR) Details on this will be released at the start of the next year 60. Introduction Open GWASPrivacy & Implications DiscussionOutlookFuture of openSNP Weve won the PLoS/Mendeley Binary Battle Got some funding to get more people (who are willing to share) genotyped (around 5000EUR) Details on this will be released at the start of the next year Constantly improving the project (and are happy if somebody wants to help) 61. Introduction Open GWASPrivacy & Implications DiscussionOutlookThe end Thanks for listening. Any questions? For further questions: @gedankenstuecke or @PhilippBayer 62. Introduction Open GWASPrivacy & ImplicationsDiscussionOutlookReferences Do et al. (2011) Web-Based Genome-Wide Association Study Identies Two Novel Loci and a Substantial Genetic Component for Parkinsons Disease. PLoS Genetics 7(6): e1002141. doi:10.1371/journal.pgen.1002141 Eriksson et al. (2010) Web-Based, Participant-Driven Studies Yield Novel Genetic Associations for Common Traits. PLoS Genet 6(6): e1000993. doi:10.1371/journal.pgen.1000993 Kogan, et al. (2011): Thin-slicing study of the oxytocin receptor (OXTR) gene and the evaluation and expression of the prosocial disposition. Proceedings of the National Academy of Sciences Sladek et al. (2007): A genome-wide association study identies novel risk loci for type 2 diabetes. Nature 445 (7130): 881-5. The Wellcome Trust Case Control Consortium (2007): Genome-wide association study of 14,000 cases of seven common diseases and 3,000 shared controls. Nature 447: 661-678.