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Teasing  out  the  VOLS  from  the  VOUS  

 

-­‐  

 

Christopher  E.  Mason  

DNA   RNA   Protein  

Challenges  in  human  geneAcs  

1)   Variant  calling  

 

2)  Genome  InterpretaAon  /  Pharmacogenomics  

3)  Data  Provenance  and  Management  

 

(1)  

Variant  Calling  

Oliver  Hofmann  and  Brad  Chapman:   hPp://bcbio.wordpress.com/2013/05/06/framework-­‐for-­‐evaluaAng-­‐variant-­‐detecAon-­‐methods-­‐ comparison-­‐of-­‐aligners-­‐and-­‐callers/  

 

(2)  

Genome  

InterpretaAon  

Does  a  $1,000  genome  need  a  $100,000  interpretaAon?  At  least  a  big  phone  bill.      

Genome,  NGS,   and  Clinical  

Standards    

Groups  

Personalized  

Medicine     using    

Variant  

AnnotaAon  and  

ContextualizaAon  

-­‐NGS   -SEQC

Cloud-­‐based  

Approaches  to  

InformaAcs  and  

Sequencing  

PaAent  and  Data  

Sharing  IniAaAves   for  Treatment  

There  can  be  only  one  

Rare,  Mysterious  Transcriptomes  

R-­‐make  is  open  source  (under  review):   hPp://physiology.med.cornell.edu/faculty/mason/lab/data/r-­‐make/  

Intra-­‐paAent  allelic  dynamics  detail  cell  heterogeneity:  

Same  paAent  at  diagnosis  (D)  and  relapse  (R)  

Paired  RNA-­‐Seq  reveals  a  seemingly  endless  ocean  of  private  mutaAons  

Using  RNA-­‐Seq  to  find  chemo-­‐resistant  clones  in  ALL  

Meyer  et  al,   Nature  Gene*cs ,  2013  

Meyer  et  al,   Nature  Gene*cs ,  2013  

We  see  enrichment  of  a  gene  for  nucleoAde   metabolism,  mutaAons  near  binding  pocket  

NT5C2:  5'-­‐nucleoAdase  (purine),  cytosolic  type  II    

Meyer  et  al,  Nature  GeneAcs,  2013  

That  took  four  years.  

What  if  we  did  it  again  today?  

Commonly  used  treatments  for  

ALL  include  nucleoside  analogs  

Lanvis,  GSK  (thioguanine)   Mercaptopurine  

We  find  NT5C2  in  about  one  hour  

Sharing  ==  caring  

Only  Significantly  Associated  Clinical  

Variable  Was  Early  Relapse  

7  of  40    

Meyer  et  al,   Nature  Gene*cs ,  2013  

We  see  enrichment  of  a  gene  for  nucleoAde   metabolism,  mutaAons  near  binding  pocket  

NT5C2:  5'-­‐nucleoAdase  (purine),  cytosolic  type  II    

Meyer  et  al,  Nature  GeneAcs,  2013  

NT5C2  Mutants  Confer  Chemoresistance  to  

Purine  Nucleoside  Analogue  Treatment    

6-­‐MP     6-­‐TG    

Reh  cells  transiently  lenAviral  infected  with  WT,  GFP,  and  mutants  

Meyer  et  al,  Nature  GeneAcs,  2013  

Meyer  et  al,  Nature  GeneAcs,  2013  

Rare,  Mysterious  Genomes  

The NIH Undiagnosed Diseases Program (UDP)

•   Launched May 19, 2008

•   Supported by the Office of Rare Diseases, NHGRI and the NIH Clinical Center.

•   Goals:

–   Addresses unmet need for diagnosis of mysterious diseases.

–   Helps discover new diseases that provide insight into human physiology and genetics.

UDP441 spiny follicular hyperkeratosis case

•   50 year-old Caucasian woman.

•   Spiny follicular hyperkeratosis with alopecia, follicular plugging, abscesses.

•   Exacerbated by UV-A light and oral retinoid therapies.

•   Ruled out infections, hormone and paraneoplastic causes.

•   No known dermatological causes.

•   RNA-Seq and WGS

 From  3,883,26  total  

Apply  Common  &  GeneAc  Filters  

Apply  Deleterious  Filter  

Already  we  may  have  been  able  to  predict   this  potenAal  from  the  germline  DNA  

Found  mutaAons  in  gene  involved  in   follicle  development  and  cell  cycle  

 

(3)  

Provenance  and  

Management  

50Tb  

More  genomes  are  coming…  

100  TeraBytes  is  only  the  beginning  

 

Current  -­‐  1,000  genomes            =  100  TeraB  

WGS  for  all  new  U.S.  babies/year:  

4,300,000  genomes                =  430  PetaB  

 

WGS  for  everyone  >40  in  U.S.  in  2013  

 

100  million  genomes              =  10  ExaB  

Every  human  in  China  

1.3  billion  genomes              =  130  ExaB  

 

Each  biopsy/checkup/visit…  per  paAent      

 

100  billion  genomes              =  10  ZePaB  

And  that  is  only  the  Genome!  

Family  

Medical  

History  

Robust  

Sample  Prep  

&    Data  

AcquisiAon  

AnnotaAons,  

TDBGV   miRbase,  

TCGA,  

1KG,dbSNP  

StaAsAcal  

Models  Built   from  Per-­‐

Base,  High-­‐

Res  Data  

G  

Bacteria  

/Fungi  

Virus  

G  

1.              Mass  spectrophotometry  data  

1.

  Protein-­‐Protein  InteracAons  

 

2.

  Polysome-­‐Associated  mRNAs  

 

 

 

1.

2.

3.

  mC  or  hmC  modificaAons  

Histone  marks  (HXXX)    

Regulatory  informaAon  

Nucleosome   effects  

Gene   regulaAon  

 

 

 

 

1.

  Variants  (SNVs,  indels)  

2.

  Structural  variants  (CNVs,  TxC)  

 

 

 

3.

 

    Ancestry  predicAon  from  

AIMs  

 

 

 

 

 

 

 

 

 

RNA  edits,   eQTLs  

 

TFBS  

 

 

 

 

 

 

 

 

 

 

  mRNAs   degrade  

 

 

 

 

 

 

 

1.

  Small  Variants  (SNVs,  indels)  

 

 

2.

  DE  by  exon,  gene,  intron,  &  jxn  

3.

  PolyA  sites  and  miRNA   changes  

4.

  TARs  and  ORF  potenAal  

5.

  Gene  fusion  events  

6.

  Allele-­‐specific  expression  

1.    Metabolic  changes   drugs   vitamin   hormone  

N  other   species  

Environment  

T=0   T=1  

Environment  

T=N  

hPp://www.allthingstechnology.net/2011/07/how-­‐much-­‐byte-­‐make-­‐yoPabyte.html  

$100  for  one  terabyte  

 

 

 

 

 

 

 

1YB=1  trillion  TB  

1YB  =  $100  trillion  

 

 

…  

Can  we  just  keep  only  those  loci   with  mutaAons?  

 

No.  

We  need     per-­‐base,  per-­‐allele,  per  generaAon     data   chr   pos   bcalls   chr10   79090   14   chr10   79091   13   chr10   79092   13   chr10   79093   12   chr10   79094   14   chr10   79095   14   chr10   79096   15   chr10   79097   15   chr10   79098   15   chr10   79099   15   chr10   79100   15   chr10   79101   15   chr10   79102   15   chr10   79103   13   chr10   79104   8   chr10   79105   8   chr10   79106   8   chr10   79107   8   chr10   79108   8   chr10   79109   8   chr10   79110   8   bcalls   filt  

5  

5  

5  

1  

1  

5  

5  

5  

5  

1  

1  

1  

2  

1  

2  

2  

4  

4  

2  

4  

4   ref  

Q  

(snp)  

GT  

A   0  

A   0  

A   0  

C   0  

T   0  

T   0  

A   0  

C   0  

A   0  

A   0  

T   0  

T   0  

C   0  

T   0  

A   40   AG  

A   0   AA  

A   0  

A   0  

AA  

AA  

T   0  

A   0  

A   0  

TT  

AA  

AA  

AA  

TT  

TT  

CC  

TT  

AA  

AA  

AA  

CC  

TT  

TT  

AA  

CC  

AA  

AA  

AA  

AA  

CC  

TT  

TT  

AA  

CC  

AA  

AG  

AA  

AA  

AA  

TT  

AA  

AA  

AA  

TT  

TT  

CC  

TT  

Q   max_gt   poly  site  

Q  (max_gt  

|poly_site)  As  used  

75  

69  

54  

54  

54  

54  

54  

54  

54  

40  

75  

75  

75  

75  

75  

75  

72  

69  

69  

66  

72  

42  

36  

21  

21  

21  

21  

21  

21  

21  

73  

42  

42  

42  

42  

42  

42  

39  

36  

36  

33  

39  

0  

0  

0  

15  

13  

8  

8  

0  

8  

8  

15  

15  

15  

0  

15  

15  

14  

0  

0  

0  

0  

Cs   used  

8  

0  

0  

0  

0  

0  

0  

8  

0  

0  

0  

0  

0  

0  

0  

0  

0  

0  

0  

12  

0  

Gs   used   Ts  used  

0  

0  

0  

0  

0  

0  

0  

0  

0  

0  

0  

0  

0  

0  

6  

0  

0  

0  

0  

0  

0  

0  

8  

8  

0  

0  

0  

0  

0  

0  

15  

0  

0  

0  

0  

0  

0  

0  

13  

13  

0  

14  

We  can  now  observe  the  dynamics   and  evoluAon  of  cancers  

Ding  L,  et.al,    Clonal  evoluAon  in  relapsed  acute  myeloid  leukemia  revealed  by  whole-­‐genome  sequencing.  Nature.  2012  Jan  11;481(7382):

506-­‐10.  

What  do  we  do   these  myriad   molecular   features?  

A  Future  of  Publically  Personalized  Medicine  

Today  I  am  even  more  sure  I  shouldn’t  smoke  

“All  science  is  either  physics  or  stamp  collecAng”  

Ernest  Rutherford  

Awarded  Nobel  Prize  in  1908  for  Chemistry,  not  Physics.  

 

 

“The   energy  produced   by  the   breaking  down  of  the  atom   is  a   very  poor   kind  of  thing.  Anyone   who  expects  a  source  of  power  from  the  transformaAon  of  these  atoms  is  talking  moonshine."    

–  1933  

 

“An  alleged  scienAfic  discovery  has  no  merit  unless  it  can  be  explained  to  a  barmaid.”  

   

 

 

All  physicists  were  stamp  collectors  unAl  around  

1935.  

All  genomicists  will  have  to  be  stamp  collectors  for   a  few  years  more.  

 

“When  we  have  found  how  the  nucleus  of  atoms  is   built  up  we  shall  have  found  the  greatest  secret  of   all  —  except  life.”   -­‐    Ernest  Rutherford  

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