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Welcome	
  

 Genome-­‐in-­‐a-­‐Bo.le	
  	
  
Consor2um	
  Workshop	
  
Clinical	
  Transla2on	
  of	
  	
  
Human	
  Genome	
  Sequencing	
  
Clinical	
  Sequencing?	
  
•  first,	
  you’ve	
  got	
  to	
  have	
  reliable	
  
   measurements	
  
•  next,	
  you	
  need	
  to	
  know	
  how	
  reliable	
  they	
  are	
  
•  then,	
  you	
  need	
  clinical	
  interpreta2on	
  
•  in	
  prac2ce,	
  you’ll	
  need	
  infrastructure	
  to	
  
   enable	
  distributed	
  clinical	
  implementa2on	
  
Clinical	
  Sequencing?	
  
•  first,	
  you’ve	
  got	
  to	
  have	
  reliable	
  
   measurements	
  
•  next,	
  you	
  need	
  to	
  know	
  how	
  reliable	
  they	
  are	
  
•  then,	
  you	
  need	
  clinical	
  interpreta2on	
  
         Genome-­‐in-­‐a-­‐Bo*le	
  Consor0um	
  	
  
•  in	
  prac2ce,	
  you’ll	
  need	
  infrastructure	
  to	
  
         to	
  work	
  on	
  these…	
  
   enable	
  distributed	
  clinical	
  implementa2on	
  
Measurement	
  Infrastructure	
  

        Reference	
  Materials,	
  	
  
          Reference	
  Data,	
  	
  
        Reference	
  Methods,	
  	
  
        Performance	
  Metrics	
  
Why	
  a	
  consor2um?	
  
Who	
  does	
  what?	
  
•  what	
  NIST	
  can/will	
  do	
                            •  what	
  members	
  can/will	
  do	
  
     –  host	
  and	
  convene	
                                   –  at	
  this	
  point,	
  it's	
  easiest	
  for	
  
           •  NIST	
  is	
  non-­‐regulatory,	
  neutral	
            membership	
  to	
  be	
  voluntary	
  
              broker	
                                                    •  without	
  requirements	
  for	
  
           •  NIST	
  can	
  and	
  will	
  commit	
  to	
                   CRADAs,	
  formal	
  declara2ons	
  
              development	
  and	
                                           of	
  membership	
  
              dissemina2on	
  of	
  products	
                     –  members	
  may	
  find	
  it	
  useful	
  to	
  
     –  NIST	
  Reference	
  Materials	
                              par2cipate	
  in	
  the	
  standard	
  
           •  access	
  interna2onal	
                                seRng	
  work	
  of	
  the	
  
              community	
  with	
  recognized	
                       consor2um	
  
              reference	
  material	
  program	
  
                                                                          •  collabora2on	
  on	
  development	
  
           •  wide	
  regulatory	
  acceptance	
                             of	
  RMs,	
  data,	
  tools,	
  and	
  
                                                                             documentary	
  standards	
  
Genome-­‐in-­‐a-­‐Bo.le	
  Consor2um	
  
•  NIST	
  hosted	
  three	
  small	
   •  August	
  2012	
  
   workshops	
  to	
  address	
             –  get	
  feedback	
  on	
  draX	
  
   Reference	
  Material	
                     work	
  plan,	
  refine	
  
   needs	
  in	
  this	
  space	
           –  get	
  working	
  groups	
  
    –  Stanford,	
  June	
  2011	
                 underway	
  
    –  ASHG,	
  Montreal,	
                     –  iden2fy	
  resources	
  
       October	
  2011	
                             •  materials	
  
                                                     •  sequencing	
  
    –  NIST,	
  Gaithersburg,	
  MD,	
  
                                                     •  analysis	
  
       April	
  2012	
  
Agenda	
  
Thursday	
  16	
  August	
  2012	
             Friday	
  17	
  August	
  2012	
  
•  Clinical	
  Applica2ons	
  of	
  WGS	
      •  Report-­‐out	
  from	
  Breakout	
  
•  WGS	
  Technology	
  Outlook	
                 Groups	
  
•  2	
  approaches	
  to	
  Genome	
           •  Workplan	
  Refinement	
  
   Characteriza2on	
                           •  Resources	
  &	
  Next	
  Steps	
  
•  5	
  minute	
  Topic	
  Talks	
  
•  NIST	
  work	
  to	
  develop	
  
   Whole	
  Genome	
  RMs	
  
     –  in	
  partnership	
  with	
  FDA	
  
•  Breakout	
  Groups	
  
Genome	
  in	
  a	
  Bo.le	
  Working	
  Groups	
  

Reference	
  Material	
                      Meaurements	
  for	
                      Bioninforma2cs,	
                         Performance	
  Metrics	
  
Selec2on	
                                   Reference	
  Material	
                   Data	
  Integra2on,	
  and	
              &	
  Figures	
  of	
  Merit	
  
&	
  Design	
                                Characteriza2on	
                         Data	
  Representa2on	
                   	
  
	
                                           	
                                        	
                                        	
  
Andrew	
  Grupe,	
                           Ellio.	
  Margulies,	
                    Steve	
  Sherry,	
  NCBI	
                Jus2n	
  Johnson,	
  
Celera	
                                     Illumina	
                                                                          EdgeBio	
  


      • Develop	
  priori2zed	
  list	
             • Develop	
  consensus	
                  • Develop	
  plan	
  for	
                • User	
  interface	
  to	
  the	
  
       of	
  whole	
  human	
                        plan	
  for	
  experimental	
             integra2ng	
                              Genome-­‐in-­‐a-­‐Bo.le	
  
       genomes	
  for	
  Reference	
                 characteriza2on	
  of	
                   experimental	
  data	
  and	
             Reference	
  Material	
  
       Materials	
                                   Reference	
  Materials	
                  forming	
  consensus	
                    • “Dashboard”	
  
      • Iden2fy	
  candidate	
                                                                 variant	
  calls	
  and	
                 • what	
  an	
  end	
  user	
  will	
  
       approaches	
  and	
                                                                     confidence	
  es2mates	
                     see	
  and	
  report	
  to	
  
       materials	
  for	
  ar2ficial	
                                                         • Develop	
  consensus	
                     understand	
  and	
  
       RMs	
                                                                                   plan	
  for	
  data	
                       describe	
  the	
  
       • Develop	
  priori2zed	
  list	
                                                       representa2on	
                             performance	
  of	
  their	
  
                                                                                                                                           experiment	
  
                                                                                                                                           • variant	
  call	
  accuracy	
  
                                                                                                                                           • process	
  performance	
  
                                                                                                                                            measures	
  to	
  enable	
  
                                                                                                                                            op2miza2on	
  
Map	
  of	
  Admin	
  Building	
  1st	
  Floor	
  
Logis2cs	
  
•  Food	
                                           •  This	
  is	
  an	
  open,	
  public	
  
    –  NIST	
  Cafeteria	
  adjacent	
  to	
           mee2ng	
  
       this	
  auditorium	
                         •  Press	
  may	
  be	
  in	
  
•  Internet	
  Access	
                                a.endance	
  
    –  passwords	
  for	
  	
  	
                   •  There	
  will	
  be	
  an	
  open	
  
       NIST-Visitor 	
                                 webinar	
  broadcast	
  of	
  this	
  
       are	
  in	
  your	
  folder	
  
                                                       mee2ng	
  
•  Transporta2on	
  Ma.ers	
  
    –  please	
  see	
  Angela	
  Ellis	
  or	
  
                                                    •  Speakers,	
  please	
  ask	
  
       Tia	
  Crawford	
  @	
                          audience	
  to	
  refrain	
  from	
  
       registra2on	
  desk	
                           twee2ng/blogging	
  if	
  you	
  
                                                       so	
  desire	
  
                                                         –  otherwise,	
  it’s	
  fair	
  game	
  
you’re	
  a.ached	
  to	
  the…	
  

GENOME-­‐IN-­‐A-­‐BOTTLE	
  
CONSORTIUM	
  WEBINAR	
  
Charge	
  to	
  Breakout	
  Groups	
  
Genome	
  in	
  a	
  Bo.le	
  Working	
  Groups	
  

Reference	
  Material	
                      Meaurements	
  for	
                      Bioninforma2cs,	
                         Performance	
  Metrics	
  
Selec2on	
                                   Reference	
  Material	
                   Data	
  Integra2on,	
  and	
              &	
  Figures	
  of	
  Merit	
  
&	
  Design	
                                Characteriza2on	
                         Data	
  Representa2on	
                   	
  
	
                                           	
                                        	
                                        	
  
Andrew	
  Grupe,	
                           Ellio.	
  Margulies,	
                    Steve	
  Sherry,	
  NCBI	
                Jus2n	
  Johnson,	
  
Celera	
                                     Illumina	
                                                                          EdgeBio	
  


      • Develop	
  priori2zed	
  list	
             • Develop	
  consensus	
                  • Develop	
  plan	
  for	
                • User	
  interface	
  to	
  the	
  
       of	
  whole	
  human	
                        plan	
  for	
  experimental	
             integra2ng	
                              Genome-­‐in-­‐a-­‐Bo.le	
  
       genomes	
  for	
  Reference	
                 characteriza2on	
  of	
                   experimental	
  data	
  and	
             Reference	
  Material	
  
       Materials	
                                   Reference	
  Materials	
                  forming	
  consensus	
                    • “Dashboard”	
  
      • Iden2fy	
  candidate	
                                                                 variant	
  calls	
  and	
                 • what	
  an	
  end	
  user	
  will	
  
       approaches	
  and	
                                                                     confidence	
  es2mates	
                     see	
  and	
  report	
  to	
  
       materials	
  for	
  ar2ficial	
                                                         • Develop	
  consensus	
                     understand	
  and	
  
       RMs	
                                                                                   plan	
  for	
  data	
                       describe	
  the	
  
       • Develop	
  priori2zed	
  list	
                                                       representa2on	
                             performance	
  of	
  their	
  
                                                                                                                                           experiment	
  
                                                                                                                                           • variant	
  call	
  accuracy	
  
                                                                                                                                           • process	
  performance	
  
                                                                                                                                            measures	
  to	
  enable	
  
                                                                                                                                            op2miza2on	
  
Map	
  of	
  Breakouts	
  
Some	
  use	
  scenarios…	
  
•  Obtain	
  metrics	
  for	
  valida2on,	
  
   QC,	
  QA,	
  PT	
  
•  Determine	
  sources	
  and	
  types	
  
   of	
  bias/error	
  
•  Learn	
  to	
  resolve	
  difficult	
  
   structural	
  variants	
  
•  Improve	
  reference	
  genome	
  
   assembly	
  
•  Op2miza2on	
  
     –  integra2on	
  of	
  data	
  from	
  
        mul2ple	
  plagorms	
  
     –  sequencing	
  and	
  analysis	
  
•  Enable	
  regulated	
  applica2ons	
  

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Genome in a Bottle Consortium Workshop Welcome Aug. 16

  • 1. Welcome   Genome-­‐in-­‐a-­‐Bo.le     Consor2um  Workshop  
  • 2. Clinical  Transla2on  of     Human  Genome  Sequencing  
  • 3. Clinical  Sequencing?   •  first,  you’ve  got  to  have  reliable   measurements   •  next,  you  need  to  know  how  reliable  they  are   •  then,  you  need  clinical  interpreta2on   •  in  prac2ce,  you’ll  need  infrastructure  to   enable  distributed  clinical  implementa2on  
  • 4. Clinical  Sequencing?   •  first,  you’ve  got  to  have  reliable   measurements   •  next,  you  need  to  know  how  reliable  they  are   •  then,  you  need  clinical  interpreta2on   Genome-­‐in-­‐a-­‐Bo*le  Consor0um     •  in  prac2ce,  you’ll  need  infrastructure  to   to  work  on  these…   enable  distributed  clinical  implementa2on  
  • 5. Measurement  Infrastructure   Reference  Materials,     Reference  Data,     Reference  Methods,     Performance  Metrics  
  • 7. Who  does  what?   •  what  NIST  can/will  do   •  what  members  can/will  do   –  host  and  convene   –  at  this  point,  it's  easiest  for   •  NIST  is  non-­‐regulatory,  neutral   membership  to  be  voluntary   broker   •  without  requirements  for   •  NIST  can  and  will  commit  to   CRADAs,  formal  declara2ons   development  and   of  membership   dissemina2on  of  products   –  members  may  find  it  useful  to   –  NIST  Reference  Materials   par2cipate  in  the  standard   •  access  interna2onal   seRng  work  of  the   community  with  recognized   consor2um   reference  material  program   •  collabora2on  on  development   •  wide  regulatory  acceptance   of  RMs,  data,  tools,  and   documentary  standards  
  • 8. Genome-­‐in-­‐a-­‐Bo.le  Consor2um   •  NIST  hosted  three  small   •  August  2012   workshops  to  address   –  get  feedback  on  draX   Reference  Material   work  plan,  refine   needs  in  this  space   –  get  working  groups   –  Stanford,  June  2011   underway   –  ASHG,  Montreal,   –  iden2fy  resources   October  2011   •  materials   •  sequencing   –  NIST,  Gaithersburg,  MD,   •  analysis   April  2012  
  • 9. Agenda   Thursday  16  August  2012   Friday  17  August  2012   •  Clinical  Applica2ons  of  WGS   •  Report-­‐out  from  Breakout   •  WGS  Technology  Outlook   Groups   •  2  approaches  to  Genome   •  Workplan  Refinement   Characteriza2on   •  Resources  &  Next  Steps   •  5  minute  Topic  Talks   •  NIST  work  to  develop   Whole  Genome  RMs   –  in  partnership  with  FDA   •  Breakout  Groups  
  • 10. Genome  in  a  Bo.le  Working  Groups   Reference  Material   Meaurements  for   Bioninforma2cs,   Performance  Metrics   Selec2on   Reference  Material   Data  Integra2on,  and   &  Figures  of  Merit   &  Design   Characteriza2on   Data  Representa2on             Andrew  Grupe,   Ellio.  Margulies,   Steve  Sherry,  NCBI   Jus2n  Johnson,   Celera   Illumina   EdgeBio   • Develop  priori2zed  list   • Develop  consensus   • Develop  plan  for   • User  interface  to  the   of  whole  human   plan  for  experimental   integra2ng   Genome-­‐in-­‐a-­‐Bo.le   genomes  for  Reference   characteriza2on  of   experimental  data  and   Reference  Material   Materials   Reference  Materials   forming  consensus   • “Dashboard”   • Iden2fy  candidate   variant  calls  and   • what  an  end  user  will   approaches  and   confidence  es2mates   see  and  report  to   materials  for  ar2ficial   • Develop  consensus   understand  and   RMs   plan  for  data   describe  the   • Develop  priori2zed  list   representa2on   performance  of  their   experiment   • variant  call  accuracy   • process  performance   measures  to  enable   op2miza2on  
  • 11. Map  of  Admin  Building  1st  Floor  
  • 12. Logis2cs   •  Food   •  This  is  an  open,  public   –  NIST  Cafeteria  adjacent  to   mee2ng   this  auditorium   •  Press  may  be  in   •  Internet  Access   a.endance   –  passwords  for       •  There  will  be  an  open   NIST-Visitor   webinar  broadcast  of  this   are  in  your  folder   mee2ng   •  Transporta2on  Ma.ers   –  please  see  Angela  Ellis  or   •  Speakers,  please  ask   Tia  Crawford  @   audience  to  refrain  from   registra2on  desk   twee2ng/blogging  if  you   so  desire   –  otherwise,  it’s  fair  game  
  • 13. you’re  a.ached  to  the…   GENOME-­‐IN-­‐A-­‐BOTTLE   CONSORTIUM  WEBINAR  
  • 14. Charge  to  Breakout  Groups  
  • 15. Genome  in  a  Bo.le  Working  Groups   Reference  Material   Meaurements  for   Bioninforma2cs,   Performance  Metrics   Selec2on   Reference  Material   Data  Integra2on,  and   &  Figures  of  Merit   &  Design   Characteriza2on   Data  Representa2on             Andrew  Grupe,   Ellio.  Margulies,   Steve  Sherry,  NCBI   Jus2n  Johnson,   Celera   Illumina   EdgeBio   • Develop  priori2zed  list   • Develop  consensus   • Develop  plan  for   • User  interface  to  the   of  whole  human   plan  for  experimental   integra2ng   Genome-­‐in-­‐a-­‐Bo.le   genomes  for  Reference   characteriza2on  of   experimental  data  and   Reference  Material   Materials   Reference  Materials   forming  consensus   • “Dashboard”   • Iden2fy  candidate   variant  calls  and   • what  an  end  user  will   approaches  and   confidence  es2mates   see  and  report  to   materials  for  ar2ficial   • Develop  consensus   understand  and   RMs   plan  for  data   describe  the   • Develop  priori2zed  list   representa2on   performance  of  their   experiment   • variant  call  accuracy   • process  performance   measures  to  enable   op2miza2on  
  • 17. Some  use  scenarios…   •  Obtain  metrics  for  valida2on,   QC,  QA,  PT   •  Determine  sources  and  types   of  bias/error   •  Learn  to  resolve  difficult   structural  variants   •  Improve  reference  genome   assembly   •  Op2miza2on   –  integra2on  of  data  from   mul2ple  plagorms   –  sequencing  and  analysis   •  Enable  regulated  applica2ons