obtaining the numbers behind the translational imperative harvard medical school center for...

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i2b2 A N ational Center for Biom edica lCom puting Infor matics f or In tegra ting Biology &theBedside Obtaining The Numbers Behind the Translational Imperative Harvard Medical School Center for Biomedical Informatics i2b2 National Center for Biomedical Computing Isaac S. Kohane, MD, PhD John Glaser, PhD Susanne Churchill, PhD

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Page 1: Obtaining The Numbers Behind the Translational Imperative Harvard Medical School Center for Biomedical Informatics i2b2 National Center for Biomedical

i2b2 A National Center for Biomedical ComputingInformatics for Integrating Biology & the Bedside

Obtaining The Numbers Behind the Translational Imperative

Harvard Medical School

Center for Biomedical Informatics

i2b2 National Center for Biomedical ComputingIsaac S. Kohane, MD, PhD

John Glaser, PhD

Susanne Churchill, PhD

Page 2: Obtaining The Numbers Behind the Translational Imperative Harvard Medical School Center for Biomedical Informatics i2b2 National Center for Biomedical

i2b2 A National Center for Biomedical ComputingInformatics for Integrating Biology & the Bedside

Example: PPAR Pro12Ala and diabetes

0.10.20.30.40.50.60.70.80.911.11.2Estimated risk

(Ala allele) 1.32.0

Deeb et al.Mancini et al.

Ringel et al.

Meirhaeghe et al.

Clement et al.

Hara et al.

Altshuler et al.

Hegele et al.

Oh et al.

Douglas et al.

All studies

Lei et al.Hasstedt et al.

1.41.51.61.71.81.9

Sample size

Ala is protective

Mori et al.

Overall P value = 2 x 10-7

Odds ratio = 0.79 (0.72-0.86)

Courtesy J. Hirschhorn

Page 3: Obtaining The Numbers Behind the Translational Imperative Harvard Medical School Center for Biomedical Informatics i2b2 National Center for Biomedical

i2b2 A National Center for Biomedical ComputingInformatics for Integrating Biology & the Bedside

And here comes commercialization (MD’s not required)

QuickTime™ and aTIFF (Uncompressed) decompressor

are needed to see this picture.

QuickTime™ and aTIFF (Uncompressed) decompressor

are needed to see this picture.

Knome has launched the first commercial whole-genome sequencing and analysis service for individuals for $350,000 per genome. The sequence data will undergo comprehensive analysis from a team of….

Page 4: Obtaining The Numbers Behind the Translational Imperative Harvard Medical School Center for Biomedical Informatics i2b2 National Center for Biomedical

i2b2 A National Center for Biomedical ComputingInformatics for Integrating Biology & the Bedside

Common-Rare:Weak-Strong Spectrum

commonrare

108

patients

106 patients

102

diseases104

diseases

Deterministic“highly penetrant”

Weak effect, not predictive, dominated by environment

Huntington’s

Tay-Sachs

DM2

ASD

CAD

MODY

Page 5: Obtaining The Numbers Behind the Translational Imperative Harvard Medical School Center for Biomedical Informatics i2b2 National Center for Biomedical

i2b2 A National Center for Biomedical ComputingInformatics for Integrating Biology & the Bedside

Dangers of Large N and small p(D)

Page 6: Obtaining The Numbers Behind the Translational Imperative Harvard Medical School Center for Biomedical Informatics i2b2 National Center for Biomedical

i2b2 A National Center for Biomedical ComputingInformatics for Integrating Biology & the Bedside

QuickTime™ and aTIFF (Uncompressed) decompressor

are needed to see this picture.

Page 7: Obtaining The Numbers Behind the Translational Imperative Harvard Medical School Center for Biomedical Informatics i2b2 National Center for Biomedical

i2b2 A National Center for Biomedical ComputingInformatics for Integrating Biology & the Bedside

Challenge: Efficiently Reach Large N

• High throughput genotyping

• High throughput phenotyping

• High throughput sample acquisition

DHHS Secretary’s Advisory Committee on Genetics, Health, and Society (SACGHS) argues for the health value of a 500,000 to 1M subject study. Estimated cost: $3,000,000,000

Cost of the pediatric 100,000 study recently launched >> $1B + decades.

Page 8: Obtaining The Numbers Behind the Translational Imperative Harvard Medical School Center for Biomedical Informatics i2b2 National Center for Biomedical

i2b2 A National Center for Biomedical ComputingInformatics for Integrating Biology & the Bedside

Page 9: Obtaining The Numbers Behind the Translational Imperative Harvard Medical School Center for Biomedical Informatics i2b2 National Center for Biomedical

i2b2 A National Center for Biomedical ComputingInformatics for Integrating Biology & the Bedside

NLP (and comedy) is not pretty

HOSPITAL COURSE: ... It was recommended that she receive …We also added Lactinax, oral form of Lactobacillus acidophilus to attempt a repopulation of her gut.

SH: widow,lives alone,2 children,no tob/alcohol.

BRIEF RESUME OF HOSPITAL COURSE: 63 yo woman with COPD, 50 pack-yr tobacco (quit 3 wks ago), spinal stenosis, ...

SOCIAL HISTORY: Negative for tobacco, alcohol, and IV drug abuse.

SOCIAL HISTORY: The patient is a nonsmoker. No alcohol.

SOCIAL HISTORY: The patient is married with four grown daughters,uses tobacco, has wine with dinner.Smoker

Non-Smoker

SOCIAL HISTORY: The patient lives in rehab, married. Unclear smoking historyfrom the admission note…

Past Smoker

Hard to pick

Hard to pick

???

Page 10: Obtaining The Numbers Behind the Translational Imperative Harvard Medical School Center for Biomedical Informatics i2b2 National Center for Biomedical

i2b2 A National Center for Biomedical ComputingInformatics for Integrating Biology & the Bedside

But it works

• 96,000 asthma patients identified out of 2.5M PHS patients– Stratified by severity, pharmaco-responsiveness

and exposures– Now with cases and controls (from extrema)

reconsented and biomaterials obtained for genome-wide scans ++

– 3 methods of tissue acquisition

Page 11: Obtaining The Numbers Behind the Translational Imperative Harvard Medical School Center for Biomedical Informatics i2b2 National Center for Biomedical

i2b2 A National Center for Biomedical ComputingInformatics for Integrating Biology & the Bedside

The three prongs of High Throughput Instrumentation

• $250-$500 for 500,000 SNP’s• $50-100K for good quality phenotyping of 100K+

+ individuals• What about the samples (consented)

– $650/patient• Dozens a week

– Wait in clinic: $450+/patient

• Crimson– Lynn Bry, MD

Page 12: Obtaining The Numbers Behind the Translational Imperative Harvard Medical School Center for Biomedical Informatics i2b2 National Center for Biomedical

i2b2 A National Center for Biomedical ComputingInformatics for Integrating Biology & the Bedside

Crimson: Core Functions

Clinical discardMined PhenotypesMatched

AnonymousID

Richly annotated biospecimens

Page 13: Obtaining The Numbers Behind the Translational Imperative Harvard Medical School Center for Biomedical Informatics i2b2 National Center for Biomedical

i2b2 A National Center for Biomedical ComputingInformatics for Integrating Biology & the Bedside

Meeting Expectations

Page 14: Obtaining The Numbers Behind the Translational Imperative Harvard Medical School Center for Biomedical Informatics i2b2 National Center for Biomedical

i2b2 A National Center for Biomedical ComputingInformatics for Integrating Biology & the Bedside

Accrual Rates

Page 15: Obtaining The Numbers Behind the Translational Imperative Harvard Medical School Center for Biomedical Informatics i2b2 National Center for Biomedical

i2b2 A National Center for Biomedical ComputingInformatics for Integrating Biology & the Bedside

Costs

Page 16: Obtaining The Numbers Behind the Translational Imperative Harvard Medical School Center for Biomedical Informatics i2b2 National Center for Biomedical

i2b2 A National Center for Biomedical ComputingInformatics for Integrating Biology & the Bedside

Thank you