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Open biomedical knowledge using crowdsourcing and citizen science
The document discusses the integration of biomedical knowledge through crowdsourcing and citizen science, focusing on gene and variant prioritization. Various tools like MyGene.info and MyVariant.info are highlighted for their role in data integration and annotation within the biomedical community. Additionally, it explores the potential of citizen science for concept recognition in biomedical texts to build a comprehensive and computable network of knowledge.
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Open biomedical knowledge using crowdsourcing and citizen science
- 1. Open biomedical knowledge usingcrowdsourcing and citizen science Andrew Su, Ph.D. @andrewsu asu@scripps.edu http://sulab.org November 5, 2015 UCSD Slides: slideshare.net/andrewsu
- 2.
- 3. 3 Biology is an INFORMATION science PietroBellini https://flic.kr/p/k5jmja
- 4. Prioritization of humangenetic variants 4 1000s of genetic variants < 10 candidate genes Filters - Variant type - Allele frequencies - Previous clinical observation - Predicted functional effects - Gene function - …
- 5. Data integration asa cottage industry 5 dbNSFP
- 6. Data integration ashardened community software 6 dbNSFP MyVariant.info
- 7. MyGene.info for integratinggene annotations 7 Gene MyGene.info
- 8. MyGene.info for integratinggene annotations 8 http://mygene.info/metadata Current version history Current stats
- 9. MyGene.info for integratinggene annotations 9 399070 210381 120173 22249 7292 3563 1767 1031 616 406 2724 10 20 30 40 50 60 70 80 90 100 More 0 50000 100000 150000 200000 250000 300000 350000 400000 450000 request time (ms) Frequency Gene annotation service (/v2/gene)
- 10. MyGene.info for integratinggene annotations 10 2 ~ 3M requests per month
- 11. MyGene.info for integratinggene annotations 11
- 12. MyGene.info for integratinggene annotations 12 2015 – 2018
- 13. Bioinformatician-friendly JSON output,REST API 13 http://MyGene.info/v2/gene/7157 http://MyVariant.info/v1/variant/ chr7:g.55241707G>T
- 14. Variant and geneprioritization 14
- 15. Variant and geneprioritization 15 2441 2308 1917 18 9 5
- 16. Variant and geneprioritization 16 2441 2308 1917 18 9 5 https://github.com/SuLab/myvariant.info/ blob/master/docs/ipynb/myvariant_R_miller.ipynb
- 17. Open biomedical knowledge 17 MyVariant.infoMyGene.info Integration of molecular biology databases via high performance APIs
- 18. Open biomedical knowledge 18 MyVariant.infoMyGene.info Integration of molecular biology databases via high performance APIs Biomedical Linked Open Data
- 19. The Gene Wikiproject 19 Protein structure Symbols and identifiers Tissue expression pattern Gene Ontology annotations Links to structured databases Gene summary Protein interactions Linked references Huss, PLoS Biol, 2008
- 20. The Gene Wikiproject 20
- 21. The Gene Wikiproject 21
- 22. Wikidata 22 Provide a databaseof the world’s knowledge that anyone can edit - Denny Vrandečić
- 23. Centralizing key datastorage 23 Source: http://commons.wikimedia.org/wiki/File:Wikidata_slides_Magnus_Manske,_Cambridge,_2014-02-27.pdf
- 24. Centralizing key datastorage 24
- 25. Centralizing key datastorage 25
- 26. Loading biological datainto Wikidata 26 Entrez Gene Ensembl UniProt UCSC PDB RefSeq
- 27. Wikidata for biology 27 isa regulates Interacts with Protein Glycoprotein Neural development VLDL receptor Amyloid precursor protein Property:P31 Property:P128 Property:P129 Q8054 Q187126 Q1345738 Q1979313 Q423510 Q414043 Reelin http://www.wikidata.org/wiki/Q414043
- 28.
- 29. 29 ~150k genes and proteins ~2kFDA-approved drugs ~7k human diseases
- 30. Centralizing key datastorage 30 287 language editions of Wikipedia Bioinformatics community Toxicology community Epidemiology community … …
- 31. Open biomedical knowledge 31 MyVariant.infoMyGene.info Integration of molecular biology databases via high performance APIs Biomedical Linked Open Data
- 32. Open biomedical knowledge 32 Freetext to structured data MyVariant.info MyGene.info Integration of molecular biology databases via high performance APIs Biomedical Linked Open Data
- 33. The biomedical literatureis massive… 33 0 200,000 400,000 600,000 800,000 1,000,000 1,200,000 1983 1988 1993 1998 2003 2008 2013 Number of new PubMed-indexed articles
- 34. … but itis very hard to query and compute 34
- 35. … but itis very hard to query and compute 35 Imatinib Crizotinib Erlotinib Gefitinib Sorafenib Lapatinib Dasatinib … Acute myeloid leukemia Acute lymphoblastic leukemia Chronic myelogenous leukemia Chronic lymphocytic leukemia Hodgkin lymphoma Non-Hodgkin lymphoma Myeloma … AND
- 36. The Network ofBioThings 36 1. Identify biomedical concepts in text … We report a case of familial systemic mastocytosis with the rare KIT K509I germ line mutation. In vitro treatment with imatinib, dasatinib and PKC412 reduced cell viability of primary mast cells harboring KIT K509I mutation. Both patients with familial systemic mastocytosis had remarkable hematological and skin improvement after three months of imatinib treatment. Leuk Res. 2014 Oct;38(10):1245-51. doi: 10.1016/j.leukres. GENES DISEASES DRUGS VARIANTS
- 37. The Network ofBioThings 37 imatinib dasatinib PKC412 Familial systemic mastocytosis KIT K509I 1. Identify biomedical concepts in text 2. Identify relationships between concepts Mutation of Mutation causes causes treats inhibits
- 38. 38 Goal: Assemble anetwork of biomedical knowledge that is comprehensive, current, computable and traceable.
- 39. Question: Can CitizenScientists collectively perform concept recognition in biomedical texts? 39
- 40. Simple annotation interface 40 Clickto see instructions Highlight disease mentions 15 workers annotate each abstract
- 41. 41 Experts versus crowdfor concept identification 593 PubMed abstracts 6,900 mentions of “disease concepts” F = 0.87F = 0.78 $$$
- 42. 42 Experts versus crowdfor concept identification 593 PubMed abstracts 6,900 mentions of “disease concepts” F = 0.87F = 0.87 $$$ • 9 days • 145 workers • Total: $630.96
- 43. Does Mechanical Turkscale? 43 1,000,000 articles per year 10 annotators / article 4 tasks / doc $0.066 / task $ 2,640,000 / year
- 44.
- 45. 45 Paid crowdsourcing • F= 0.84 • 28 days • 212 workers • Total cost: $0 $$$ • F = 0.87 • 9 days • 145 workers • Total: $630.96 “Help science, please” Citizen Science
- 46. Does Citizen Sciencescale? 46 1,000,000 articles * 10 AE / article 15,828 volunteers needed 10,275 AE * 365 days 212 annotators* 28 days AE = Annotation events = Number of annotation events per year Number of annotation events per year per volunteer
- 47. Does Citizen Sciencescale? 47 15,828 volunteers needed 175,000 volunteers 300,000 volunteers 37,000 volunteers 1,000,000 volunteers
- 48. Annotating the relationships 48 Thismolecule inhibits the growth of a broad panel of cancer cell lines, and is particularly efficacious in leukemia cells, including orthotopic leukemia preclinical models as well as in ex vivo acute myeloid leukemia (AML) and chronic lymphocytic leukemia (CLL) patient tumor samples. Thus, inhibition of CDK9 may represent an interesting approach as a cancer therapeutic target especially in hematologic malignancies. therapeutic target subject predicate object GENE DISEASE
- 49. 49 Goal: Assemble anetwork of biomedical knowledge that is comprehensive, current, computable and traceable.
- 50.
- 51. Rare disease casestudy #1 51 Photo: Retta Beery
- 52. 52 Bainbridge et al.,STM, 2011
- 53.
- 54. Rare disease casestudy #2 54
- 55.
- 56. 56 … but noobvious treatments
- 57. 57 Bainbridge et al.,STM, 2011 SPR
- 58. What differentiates SPRand NGLY1? 58 SPR
- 59.
- 60. 60 NGLY1 (11 PubMed articles) Congenitaldisorders of glycosylation (822) PNGase (686) ERAD (1330) glycosylation (48,862) alacrima (164) Genetic interactors (3016) symptoms (109,928) 24 million articles in PubMed
- 61. Mapping the biomedicalnetwork around NGLY1 61 NGLY1
- 62.
- 63. 63 A preliminary viewof the NGLY1- focused biological network
- 64. Why do IMark2Cure? 64 I am retired, have a doctorate in medical humanities, and have two children with Gaucher disease. I am just looking for some way to put my education to use. Sounds like a perfect situation for me. My 4 year old daughter Phoebe is living with and battling rare disease. I have Ehlers Danlos Syndrome. I hope to help people learn about this painful and debilitating disorder, so that others like me can receive more effective medical care. Take part in something that helps humanity. I Mark2Cure in memory of my son Mike who had type 1 diabetes. Studied biology in college and I really miss it! In memory of my daughter who had Cystic Fibrosis Give back
- 65. Open biomedical knowledge 65 Freetext to structured data MyVariant.info MyGene.info Integration of molecular biology databases via high performance APIs Biomedical Linked Open Data
- 66. 66 Contact http://sulab.org asu@scripps.edu @andrewsu Gene Wiki /Wikidata Ben Good Sebastian Burgstaller Tim Putman Julia Turner Ginger Tsueng Andra Waagmeester Elvira Mitraka, UMB Lynn Schriml, UMB Justin Leong, UBC Paul Pavlidis, UBC Join the team! http://bit.ly/JoinSuLab Slides: slideshare.net/andrewsu Funding and Support BioGPS: GM83924 Gene Wiki: GM089820 MyGene / MyVariant: HG008473 BD2K COE: GM114833 Icon credits (Noun Project, Wikimedia Commons): Zach VanDeHey, hunotika, Viktorvoigt, Alberto Rojas, Lloyd Humphreys Other Group members Jake Bruggemann Ramya Gamini Karthik Gangavarapu Louis Gioia Toby Li Greg Stupp MyGene / MyVariant Chunlei Wu Cyrus Afrasiabi Kevin Xin Adam Mark Mark2Cure Max Nanis Ginger Tsueng Jennifer Fouquier Ben Good Chunlei Wu All Mark2Curators!