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We are always looking for data
Finding & Accessing
Human Genome Data
28 May 2017
@manuelcorpas
@repositive
"Scientists identify 40 genes
that she new light on biology
of intelligence"
22 May 2017
13 cohorts
No access to online methods
No links to datasets
Supplementary table
Where is the data?!?!
Googling 'CHIC:ALSPAC'
11
155
2
2
4
4
7
780
0
5
10
15
20
25
30
35
40
45
GB FI NL FR DE CH EE BE DK ES SI IE SE
0
5
10
15
20
25
30
35
CA MD MA WA NY TX AZ DC NJ NC PA UT TN CO IN FL LA VA IL ME OH MO MI SC OR
1
1
1
1
1
1
Data sources across the globe
GEO location of 278
data sources analysed.
Found by tracking IP address
of the source.
These include:
 Public Repositories
 Universities
 Companies
 BioBanks
 Research consortiums
The Numbers Game
OPPORTUNITY?
@manuelcorpas
2001: 1 human genome
2005: Personal Genome Project
Human Genome Diversity Project
HapMap
2016: 2M AstraZeneca - HLI
2008: 1000 Genomes (1092 genomes, since increased to ~2500)
Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE)
2011: H3Africa
2012: International Cancer Genome Consortium
International Initiatives
The Population-Scale National
Genome Project Race
National Genome Project Race
2003
National Genome Project Race
deCODE
2003
National Genome Project Race
UK10K
2008
National Genome Project Race
Faroe
Genomics
England
2013
National Genome Project Race
Faroe
Genomics
England
2013
National Genome Project Race
Precision Medicine
Estonian
Biobank
SardiNIA
Denmark
Saudi
Kadoorie
Biobank
Indigenous
Genomics
Japan
Netherlands
2015
National Genome Project Race
Qatar
Kuwait
Singapore
Belgium
France
2016
National Genome Project Race
2006 2007 2008 2009 2010 2011 2012 2013 2014 2015
Large amounts of data, but not accessible
≈ .5PB
Open
Access
80+PB
Sequenced
Genome data
available in public
repos
Exponential
growth rate
Under-utilised data
has huge potential for
medical research
• Required by funders
• Cannot publish unless accession
number given
• Specialised
• ENA
• EGA
• dbGaP
• dbSNP…
• Generalist
• Dryad
• figshare
Public Repositories
Open vs Managed Access
Open Access
75,000,000 per month
Managed Access
150 per month
500,000 fold difference
Stephan Beck
Data source content
Assay Types
Dedicated to…
Hundreds of data sources
…but they aren’t easy to find!
http://tinyurl.com/plos-biology-repositiveFirst 30 data sources listed here:
10
25
33 35
102
174
239
0
50
100
150
200
250
300
Jan-15 Mar-15 Jun-15 Sep-15 Dec-15 Mar-16 Jun-16
Case studies
Raquel, PhD Student, London, UK.
Researching genes associated with rare eye disorders.
Problems:
- Doesn’t know where to look for data.
- Doesn't know if data even exists.
“I gave up on finding the data - it was very time consuming and not
proving fruitful – so I started focusing more on generating my own
data.”
Access to Managed Data
Benefits:
• Strict governance
• Individuals are protected
• Review of consent
• Applicant signs for full
responsibility for governance
Disadvantages:
• No control of data once access
is given
• High barrier for access – too
high?
NIH / eRA Commons login
No
Yes
Organisation registered with eRA
Organisation has DUNS number
No
No
Write research proposal
Yes
+ 2-3 days
+ 1-2 weeks
+ 1 week
Yes
Submit proposal
+ 1-2 days
Access granted
Find/Download/Decrypt data
+ 1-4 weeks
Science…
+ 1-2 days
PRO Tip: If you use human
genomic data, apply for the
GRU datasets in dbGaP, one
application – access to all the
GRU datasets.
dbGaP application process
Blog Post:
http://blog.repositive.io/how-to-successfully-apply-for-access-to-dbgap/
Sanger eDAM Account
No
Write research proposal
+ 1 hour
Yes
Submit proposal
+ 1-2 days
Access granted
Find/Download/Decrypt data
+ 2-7 days
Science…
+ 1-2 days
EGA application process
Blog Post:
http://blog.repositive.io/how-to-successfully-apply-for-access-to-ega/
http://repositive.io
What is our mission?
1. Finding
2. Accessing
3. Sharing
#DATAEUREKA
The meaning of #dataeureka
1. We have actively helped a user F/A/S genomic data
2. An employee recognises a feature that makes a difference in
F/A/S
3. Product-market fit that justifies Repositive existence
May 22nd
• Twitter
• 7
May 8th
• Twitter
• 26
1-click to human genomic data access
to make finding data as easy as finding a book
on Amazon, book a hotel on Expedia!
Simpler workflow
for data access
Discover and
access
Search, see
related results
Find colleagues &
their data interests
Co-annotate data &
community feedback
DEMO
http://repositive.io
Repositive 23andMe Datasets Breakdown
1000 Genomes samples used
Population Subpopulation Description Number
African (207) YRI Yoruba in Ibadan, Nigeria 108
LWK Luhya in Webuye, Kenya 99
Asian (300) CHB Han Chinese in Beijing, China 103
JPT Japanese in Tokyo, Japan 104
CHS Southern Hand Chinese 93
European (336) TSI Toscani in Italia 107
GBR British in England and Scotland 87
FIN Finnish in Finland 96
IBS Iberian Population in Spain 46
PCA of 23andMe & G1k
(African, Asian, European)
Open Access Datasets Even More European-Biased
Than Scientific Literature?
2,402 23andMe
African cluster
50 samps
43 OpenSNP
Of which 11 reported ethnicity:
10 African/Black
1 Many inc African
Asian cluster
58 samps
46 OpenSNP
Of which 5 reported ethnicity:
4 East Asian
1 Korean
Surnames suggestive in 13 other cases
European (2098) ancestry cluster?
(by default)
http://discover.repositive.io
@repositiveio
Come & Talk to Us! BOOTH 732
Stay tuned!
https://personalgenomics.zone
@manuelcorpas

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Finding and accessing human genome data with Repositive

Editor's Notes

  1. March 2016 239 total sources
  2. Because interpretation requires LOTS of data And although data exists around the world, it is siloed, and even if available, it is not accessible This is Jenn, a genetic researcher –our target customer- seeking to interpret data from genetic diseases and cancer She needs data from other patients to compare and interpret Mabels DNA She also has data available in her own lab, but she cannot share because of concerns how to deal with secure access to sensitive data and data governance, e.g. vetting of users
  3. Population scale genome sequencing projects have been launched all over the world More than 80PB of human genomic data is being sequenced Every year BUT To date only around .5PB of data available in public repositories
  4. Every data source Mixed data dedicated to anything Sources dedicated to specific March 2016 239 total sources
  5. June 2016
  6. Examples of researchers looking for genomics data. All have problems, even though in different parts of the world, in different industries and with different research questions.
  7. Because interpretation requires LOTS of data And although data exists around the world, it is siloed, and even if available, it is not accessible This is Jenn, a genetic researcher –our target customer- seeking to interpret data from genetic diseases and cancer She needs data from other patients to compare and interpret Mabels DNA She also has data available in her own lab, but she cannot share because of concerns on how to deal with secure access to sensitive data and data governance, e.g. vetting of users
  8. Our mission is to speed up research and diagnostics for genetic diseases by enabling efficient and ethical access to genomic research data
  9. Our vision is to make genomic data access as easy as finding a book on Amazon or book a hotel on Expedia
  10. KEY POINTS: Repositive builds tools for genomics data search & access. We’re really good at it. We have the expertise in-house. It’s what we do. Aside from building a highly functional tool, we’ve taken the time to prioritise User Experience, streamlining of user workflows & presentation. Within a month of our formal platform launch we have over 600 registered users. The Repositive platform is an online community and marketplace connecting data consumers with data providers. On Repositive, Jenn has Easy, Interactive search Faster data access workflow Easy access to new data collaborators Benefiting from reading feedback on data from community, colleagues, to assess data quality and utility The Repositive platform and technology will remove barriers to data sharing and will incentivise users to explore, contribute and collaborate in alignment with best practices
  11. 55
  12. 56
  13. 58
  14. Our mission is to speed up research and diagnostics for genetic diseases by enabling efficient and ethical access to genomic research data