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My	
  Personal	
  Odyssey	
  with	
  Big	
  Data	
  

Brad	
  Popovich
	
  
Chief	
  Scien2fic	
  Officer
	
  
December	
  5,	
  	
  2013
	
  
The	
  early	
  days	
  of	
  exploring	
  my	
  personal	
  genome	
  
•  1976:	
  My	
  first	
  whole	
  genome	
  analysis	
  (46	
  XY)	
  
•  1980-­‐2000:	
  I	
  looked	
  at	
  almost	
  every	
  gene	
  I	
  could	
  
in	
  my	
  personal	
  genome	
  for	
  CFTR,	
  FMR1,	
  DMD,	
  
DM,	
  HD,	
  SCA,	
  SMA,	
  MELAS,	
  MERRF,	
  etc.	
  
•  LiUle	
  concern	
  personally	
  
•  ExcepWon:	
  APOE	
  
	
  
	
  

2
3
3	
  
My	
  early	
  concern:	
  Demen<a
	
  
	
  

•  PosiWve	
  family	
  history:	
  	
  
•  Increase	
  life	
  Wme	
  risk	
  (20-­‐25%	
  vs.	
  10%)	
  
•  APOE	
  
•  e4/e4:	
  further	
  increase	
  in	
  risk	
  
•  Good	
  news:	
  
•  APP	
  (2012)	
  protecWve	
  mutaWon	
  (A673T)	
  	
  

4
2013-­‐2014:	
  My	
  personal	
  Whole	
  Genome	
  
Sequence	
  (WGS)
	
  
	
  

Logical	
  next	
  step	
  
•  It’s	
  my	
  personal	
  “blue	
  print”	
  
•  Provides	
  potenWal	
  for	
  informed	
  decision	
  making	
  	
  
•  It’s	
  accessible	
  
•  Learn	
  the	
  difference	
  between	
  talking	
  about	
  
genomics	
  vs.	
  being	
  a	
  consumer	
  
5
Consumer	
  driven	
  genomics	
  
	
  
WGS	
  	
  
	
  2007:	
  First	
  offered	
  by	
  Knome	
  ($350k)	
  
	
  2009:	
  Illumina	
  ($45k)	
  
	
  2013:	
  TesWng	
  now	
  offered	
  by	
  several	
  labs/
companies	
  for	
  approximately	
  $5k	
  
Genotyping	
  tesWng	
  available	
  from	
  several	
  labs/
companies	
  (e.g.	
  23andMe	
  @	
  $99)	
  
•  FDA	
  (November	
  2013)	
  
•  Class	
  acWon	
  suit	
  (December	
  2013)	
  

6
Obtaining	
  my	
  personal	
  WGS	
  	
  
Presently	
  several	
  opWons	
  for	
  WGS	
  
Illumina:	
  Understand	
  Your	
  Genome	
  (UYG)	
  
•  Physician	
  referral	
  required	
  
•  Reason	
  for	
  my	
  referral:	
  General	
  medical	
  knowledge	
  -­‐	
  
not	
  for	
  any	
  specific	
  medical	
  quesWon	
  
•  DNA	
  sequence	
  generated	
  in	
  CAP/CLIA	
  accredited	
  lab	
  
•  UYG	
  Course	
  in	
  March	
  2014	
  
•  Sokware	
  tool	
  provided:	
  MyGenome	
  App	
  
•  App	
  allows	
  future	
  genomic	
  interrogaWon	
  
7
	
  
FDA	
  Approval:	
  November	
  19,	
  2013	
  

	
  
•  For	
  the	
  first	
  Wme,	
  the	
  U.S.	
  Food	
  and	
  Drug	
  AdministraWon	
  has	
  cleared	
  a	
  next-­‐
generaWon	
  sequencer	
  for	
  use	
  in	
  clinical	
  laboratories,	
  advancing	
  the	
  use	
  of	
  genomic	
  
medicine	
  in	
  rouWne	
  medical	
  care.	
  	
  
•  Francis	
  Collins	
  (NEJM):	
  "The	
  markeWng	
  authorizaWon	
  for	
  the	
  first	
  next-­‐generaWon	
  
genome	
  sequencer	
  represents	
  a	
  significant	
  step	
  forward	
  in	
  the	
  ability	
  to	
  generate	
  
genomic	
  informaWon	
  that	
  will	
  ulWmately	
  improve	
  paWent	
  care.	
  The	
  availability	
  of	
  
high-­‐throughput	
  DNA	
  sequencers	
  will	
  enable	
  physicians	
  to	
  take	
  a	
  comprehensive	
  
look	
  at	
  a	
  paWent's	
  geneWc	
  blueprint,	
  or	
  genome,	
  to	
  search	
  for	
  a	
  wide	
  range	
  of	
  
variaWons	
  or	
  changes	
  that	
  increase	
  risk	
  of	
  disease,	
  drive	
  the	
  disease	
  process,	
  and/or
	
  
affect	
  response	
  to	
  medicaWons	
  and	
  other	
  treatments.	
  Such	
  informaWon	
  has	
  the	
  
potenWal	
  to	
  benefit	
  paWents	
  in	
  many	
  ways.	
  This	
  acWon	
  reflects	
  our	
  naWon's	
  
commitment	
  to	
  a	
  future	
  in	
  which	
  health-­‐care	
  professionals	
  will	
  be	
  able	
  to	
  use	
  each	
  
person's	
  unique	
  genome”	
  
•  FDA	
  also	
  approved	
  the	
  first	
  test	
  system	
  based	
  on	
  two	
  devices	
  -­‐	
  the	
  Illumina	
  
MiSeqDx	
  instrument	
  and	
  the	
  reagents	
  in	
  the	
  Illumina	
  Universal	
  Kit	
  -­‐	
  to	
  allow	
  
laboratories	
  to	
  develop	
  and	
  validate	
  sequencing	
  of	
  any	
  part	
  of	
  the	
  paWent's	
   8
genome.	
  
Whole	
  Genome	
  Sequence	
  (WGS)	
  
	
   Few	
  technical	
  barriers	
  
• 
•  ApplicaWons	
  
•  Primarily	
  a	
  research	
  tool	
  
•  Clinically:	
  cancer,	
  infecWous	
  diseases,	
  and	
  
difficult	
  to	
  diagnosis	
  diseases	
  
•  Difference	
  between	
  WGS,	
  exome	
  and	
  targeted	
  
gene	
  panel	
  approaches	
  
•  Size	
  of	
  corresponding	
  data	
  sets	
  for	
  human	
  
•  WGS	
  3x109	
  bp	
  	
  (file	
  size	
  Gb	
  –	
  Mb)	
  
•  Exome	
  =	
  3x107	
  bp	
  	
  (approx	
  1%	
  of	
  WGS)	
  
•  BoUleneck…interpreWng	
  the	
  data	
  

9
Interpre<ng	
  Whole	
  Genome	
  Sequence	
  
	
  
Necessary	
  to	
  know	
  
• What’s	
  normal	
  vs.	
  a	
  variant	
  across	
  the	
  enWre	
  genome	
  
• Phenotypic	
  consequences	
  of	
  normal	
  vs.	
  variant	
  genotype	
  
Current	
  barriers	
  
• Size	
  of	
  human	
  cohorts	
  available	
  for	
  comparison	
  
•  Lack	
  of	
  staWsWcal	
  power	
  to	
  validate	
  research	
  findings	
  
• Quality	
  of	
  phenotypic	
  data	
  
•  Lack	
  of	
  adequate	
  EMR,	
  data	
  standards,	
  QA,	
  and	
  QC	
  
Ideal	
  clinical	
  applicaWons	
  
• Allow	
  normal	
  vs.	
  abnormal	
  comparison	
  in	
  the	
  same	
  
10
paWent	
  (e.g.	
  cancer)	
  
What	
  do	
  I	
  expect	
  to	
  learn	
  from	
  my	
  WGS?	
  
•  What	
  being	
  a	
  consumer	
  of	
  genomic	
  informaWon	
  feels	
  like	
  
•  Some	
  detected	
  variants	
  will	
  cause	
  concern	
  
•  Will	
  the	
  HC	
  system	
  accommodate	
  medically	
  acWonable	
  
follow-­‐up?	
  
•  Most	
  variants	
  will	
  lack	
  the	
  necessary	
  data	
  to	
  have	
  clinical	
  
uWlity	
  
•  How	
  can	
  we	
  move	
  from	
  variants	
  of	
  unknown	
  
significance	
  to	
  significant?	
  
•  What’s	
  the	
  impact	
  of	
  waiWng?	
  
11
•  Can	
  apps	
  ease	
  the	
  burden	
  on	
  the	
  system?	
  
What	
  do	
  I	
  expect	
  to	
  learn	
  from	
  my	
  WGS?
	
  
(Con<nued)
	
  

•  Family	
  maUers	
  
•  Modified	
  risk	
  for	
  demenWa	
  
•  CommunicaWons	
  with	
  family	
  members	
  
•  Impacts	
  on	
  my	
  insurability	
  
•  Life	
  
•  Disability	
  
•  What	
  professional	
  support	
  will	
  be	
  required?	
  
	
  

12
Genome	
  BC	
  and	
  WGS
	
  
•  Many	
  of	
  the	
  projects	
  funded	
  by	
  Genome	
  BC	
  are	
  
already	
  performing	
  WGS	
  on	
  research	
  subjects	
  
•  I	
  anWcipate	
  that	
  in	
  the	
  near	
  future	
  most	
  projects	
  
on	
  humans	
  will	
  be	
  using	
  WGS	
  or	
  WES	
  
•  ObservaWon:	
  ASHG	
  and	
  AMP	
  2013	
  

13
Genome	
  Bri<sh	
  Columbia	
  and	
  WGS	
  
What	
  is	
  the	
  role	
  of	
  Genome	
  BC	
  in	
  making	
  WGS	
  clinically	
  
useful	
  and	
  cost	
  effecWve?	
  
•  Stop	
  geneWc	
  /	
  genomic	
  excepWonalism	
  
•  Coordinate	
  the	
  large-­‐scale	
  collecWon	
  of	
  genomic	
  data	
  in	
  
a	
  manner	
  that	
  addresses	
  privacy	
  and	
  confidenWality	
  
•  Develop	
  strong	
  baseline	
  protecWons	
  for	
  parWcipants	
  in	
  
clinical	
  and/or	
  research	
  applicaWons	
  of	
  WGS	
  
•  Promote	
  data	
  access	
  and	
  sharing	
  
•  Develop	
  standards	
  for	
  the	
  integraWon	
  of	
  genomic	
  
informaWon	
  into	
  health	
  records	
  
•  Facilitate	
  access	
  to	
  genomic	
  informaWon	
  so	
  all	
  BriWsh	
   14
Columbians	
  benefit	
  
What’s	
  missing?
	
  
A	
  plan!	
  
•  R&D	
  
•  ComputaWonal	
  infrastructure	
  
•  Privacy	
  policy/law	
  
•  Access	
  policy	
  
•  Pla{orms	
  
•  Data	
  repository	
  
•  Clinical	
  implementaWon	
  
•  Medical	
  evidence	
  and	
  health	
  economic	
  data	
  	
  
•  Linkage	
  of	
  genomic	
  data	
  into	
  HC	
  records	
  
•  Improved	
  receptor	
  capacity	
  
•  Physicians,	
  geneWc	
  counselors,	
  apps,	
  etc.	
  

15
Applica<ons
	
  
Human	
  
•  Cancer	
  
•  InfecWous	
  diseases	
  
•  Difficult	
  to	
  diagnose	
  
diseases	
  
•  Pharmacogenomics	
  
•  Forensics	
  
•  Public	
  health	
  
•  Newborn	
  screening	
  

Non-­‐human	
  
•  Forestry	
  
•  Fisheries	
  
•  Environmental	
  monitoring	
  
•  Agri-­‐Food	
  Industry	
  
•  Mining	
  

16
Conclusions
	
  
•  I	
  am	
  about	
  to	
  conclude	
  an	
  important	
  chapter	
  in	
  my	
  
genomic	
  odyssey	
  
•  I	
  plan	
  to	
  use	
  my	
  experience	
  to	
  inform	
  the	
  work	
  that	
  
Genome	
  BC	
  is	
  doing	
  to	
  make	
  this	
  technology	
  
accessible,	
  useful,	
  and	
  economically	
  viable	
  to	
  the	
  
ciWzens	
  of	
  BC,	
  Canada,	
  and	
  beyond	
  
•  We	
  need	
  to	
  end	
  geneWc	
  excepWonalism	
  
•  We	
  need	
  leadership	
  and	
  a	
  plan!	
  
17

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My Personal Odyssey with Big Data - Brad Popovich

  • 1. My  Personal  Odyssey  with  Big  Data   Brad  Popovich   Chief  Scien2fic  Officer   December  5,    2013  
  • 2. The  early  days  of  exploring  my  personal  genome   •  1976:  My  first  whole  genome  analysis  (46  XY)   •  1980-­‐2000:  I  looked  at  almost  every  gene  I  could   in  my  personal  genome  for  CFTR,  FMR1,  DMD,   DM,  HD,  SCA,  SMA,  MELAS,  MERRF,  etc.   •  LiUle  concern  personally   •  ExcepWon:  APOE       2
  • 4. My  early  concern:  Demen<a     •  PosiWve  family  history:     •  Increase  life  Wme  risk  (20-­‐25%  vs.  10%)   •  APOE   •  e4/e4:  further  increase  in  risk   •  Good  news:   •  APP  (2012)  protecWve  mutaWon  (A673T)     4
  • 5. 2013-­‐2014:  My  personal  Whole  Genome   Sequence  (WGS)     Logical  next  step   •  It’s  my  personal  “blue  print”   •  Provides  potenWal  for  informed  decision  making     •  It’s  accessible   •  Learn  the  difference  between  talking  about   genomics  vs.  being  a  consumer   5
  • 6. Consumer  driven  genomics     WGS      2007:  First  offered  by  Knome  ($350k)    2009:  Illumina  ($45k)    2013:  TesWng  now  offered  by  several  labs/ companies  for  approximately  $5k   Genotyping  tesWng  available  from  several  labs/ companies  (e.g.  23andMe  @  $99)   •  FDA  (November  2013)   •  Class  acWon  suit  (December  2013)   6
  • 7. Obtaining  my  personal  WGS     Presently  several  opWons  for  WGS   Illumina:  Understand  Your  Genome  (UYG)   •  Physician  referral  required   •  Reason  for  my  referral:  General  medical  knowledge  -­‐   not  for  any  specific  medical  quesWon   •  DNA  sequence  generated  in  CAP/CLIA  accredited  lab   •  UYG  Course  in  March  2014   •  Sokware  tool  provided:  MyGenome  App   •  App  allows  future  genomic  interrogaWon   7  
  • 8. FDA  Approval:  November  19,  2013     •  For  the  first  Wme,  the  U.S.  Food  and  Drug  AdministraWon  has  cleared  a  next-­‐ generaWon  sequencer  for  use  in  clinical  laboratories,  advancing  the  use  of  genomic   medicine  in  rouWne  medical  care.     •  Francis  Collins  (NEJM):  "The  markeWng  authorizaWon  for  the  first  next-­‐generaWon   genome  sequencer  represents  a  significant  step  forward  in  the  ability  to  generate   genomic  informaWon  that  will  ulWmately  improve  paWent  care.  The  availability  of   high-­‐throughput  DNA  sequencers  will  enable  physicians  to  take  a  comprehensive   look  at  a  paWent's  geneWc  blueprint,  or  genome,  to  search  for  a  wide  range  of   variaWons  or  changes  that  increase  risk  of  disease,  drive  the  disease  process,  and/or   affect  response  to  medicaWons  and  other  treatments.  Such  informaWon  has  the   potenWal  to  benefit  paWents  in  many  ways.  This  acWon  reflects  our  naWon's   commitment  to  a  future  in  which  health-­‐care  professionals  will  be  able  to  use  each   person's  unique  genome”   •  FDA  also  approved  the  first  test  system  based  on  two  devices  -­‐  the  Illumina   MiSeqDx  instrument  and  the  reagents  in  the  Illumina  Universal  Kit  -­‐  to  allow   laboratories  to  develop  and  validate  sequencing  of  any  part  of  the  paWent's   8 genome.  
  • 9. Whole  Genome  Sequence  (WGS)     Few  technical  barriers   •  •  ApplicaWons   •  Primarily  a  research  tool   •  Clinically:  cancer,  infecWous  diseases,  and   difficult  to  diagnosis  diseases   •  Difference  between  WGS,  exome  and  targeted   gene  panel  approaches   •  Size  of  corresponding  data  sets  for  human   •  WGS  3x109  bp    (file  size  Gb  –  Mb)   •  Exome  =  3x107  bp    (approx  1%  of  WGS)   •  BoUleneck…interpreWng  the  data   9
  • 10. Interpre<ng  Whole  Genome  Sequence     Necessary  to  know   • What’s  normal  vs.  a  variant  across  the  enWre  genome   • Phenotypic  consequences  of  normal  vs.  variant  genotype   Current  barriers   • Size  of  human  cohorts  available  for  comparison   •  Lack  of  staWsWcal  power  to  validate  research  findings   • Quality  of  phenotypic  data   •  Lack  of  adequate  EMR,  data  standards,  QA,  and  QC   Ideal  clinical  applicaWons   • Allow  normal  vs.  abnormal  comparison  in  the  same   10 paWent  (e.g.  cancer)  
  • 11. What  do  I  expect  to  learn  from  my  WGS?   •  What  being  a  consumer  of  genomic  informaWon  feels  like   •  Some  detected  variants  will  cause  concern   •  Will  the  HC  system  accommodate  medically  acWonable   follow-­‐up?   •  Most  variants  will  lack  the  necessary  data  to  have  clinical   uWlity   •  How  can  we  move  from  variants  of  unknown   significance  to  significant?   •  What’s  the  impact  of  waiWng?   11 •  Can  apps  ease  the  burden  on  the  system?  
  • 12. What  do  I  expect  to  learn  from  my  WGS?   (Con<nued)   •  Family  maUers   •  Modified  risk  for  demenWa   •  CommunicaWons  with  family  members   •  Impacts  on  my  insurability   •  Life   •  Disability   •  What  professional  support  will  be  required?     12
  • 13. Genome  BC  and  WGS   •  Many  of  the  projects  funded  by  Genome  BC  are   already  performing  WGS  on  research  subjects   •  I  anWcipate  that  in  the  near  future  most  projects   on  humans  will  be  using  WGS  or  WES   •  ObservaWon:  ASHG  and  AMP  2013   13
  • 14. Genome  Bri<sh  Columbia  and  WGS   What  is  the  role  of  Genome  BC  in  making  WGS  clinically   useful  and  cost  effecWve?   •  Stop  geneWc  /  genomic  excepWonalism   •  Coordinate  the  large-­‐scale  collecWon  of  genomic  data  in   a  manner  that  addresses  privacy  and  confidenWality   •  Develop  strong  baseline  protecWons  for  parWcipants  in   clinical  and/or  research  applicaWons  of  WGS   •  Promote  data  access  and  sharing   •  Develop  standards  for  the  integraWon  of  genomic   informaWon  into  health  records   •  Facilitate  access  to  genomic  informaWon  so  all  BriWsh   14 Columbians  benefit  
  • 15. What’s  missing?   A  plan!   •  R&D   •  ComputaWonal  infrastructure   •  Privacy  policy/law   •  Access  policy   •  Pla{orms   •  Data  repository   •  Clinical  implementaWon   •  Medical  evidence  and  health  economic  data     •  Linkage  of  genomic  data  into  HC  records   •  Improved  receptor  capacity   •  Physicians,  geneWc  counselors,  apps,  etc.   15
  • 16. Applica<ons   Human   •  Cancer   •  InfecWous  diseases   •  Difficult  to  diagnose   diseases   •  Pharmacogenomics   •  Forensics   •  Public  health   •  Newborn  screening   Non-­‐human   •  Forestry   •  Fisheries   •  Environmental  monitoring   •  Agri-­‐Food  Industry   •  Mining   16
  • 17. Conclusions   •  I  am  about  to  conclude  an  important  chapter  in  my   genomic  odyssey   •  I  plan  to  use  my  experience  to  inform  the  work  that   Genome  BC  is  doing  to  make  this  technology   accessible,  useful,  and  economically  viable  to  the   ciWzens  of  BC,  Canada,  and  beyond   •  We  need  to  end  geneWc  excepWonalism   •  We  need  leadership  and  a  plan!   17