Transcript
Page 1: ITMO Genetics, Genomics  and Bioinformatics

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ITMO Genetics, Genomics and Bioinformatics

Personalized medicine in the Next Generation Sequencing

(NGS) era: Scientific and Medical challenges, Ethical

considerations

September 24, 2013 / Bruxelles

Thierry Frebourg

CEA

CHRU CNRS CPU INRA INRIA INSERM INSTITUT PASTEUR IRDARIIS EFS INERIS INSTITUT CURIE INSTITUT MINES-TELECOM UNICANCERIRBA IRSNCIRAD

FONDATION MERIEUX

Page 2: ITMO Genetics, Genomics  and Bioinformatics

 1985 PCR 

(Mullis)

2004-Genomic era

 2004End of

sequencing of the human

genome

2007Whole genome analyses: CGH

1865 – 1975Pre-molecular era

1975 – 2004Molecular era

 1865 Mendel 

1953 DNA

Structure Watson and

Crick

1959 Trisomy 21 LejeuneTurpin Jacobs

A SHORT HISTORY OF HUMAN GENETICS 1975

Southern  1993

Automated sequencers

Beginning of sequencing

of the human genome

Sanger sequencing

 2009New generation

Sequencing(NGS)

Page 3: ITMO Genetics, Genomics  and Bioinformatics

THE NGS REVOLUTION : FROM TARGETED TO GLOBAL SEQUENCING

Human exome sequencing 160.000 exons = 30 Mb (30 106)

1.2% of the human genome 3 Gb 100x 3000 Mb = 3 Gb

50 Gb (50. 109 pb) sequenced within 7 days

Sanger sequencing on amplicons : 500 bp1000 Kb (106 bp) sequenced within 7 days

X 100 000

The human genome : 3 Gb (3.109 )

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NGS : BIOINFORMATICS EXPERTISE

Quality - Alignment - Annotation - Filtration - Comparison - Storage

pb -Kb

Gb

X 1 000 000

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Per exome 34 Mb : 1.2% of the total genome :

17000 Single Nucleotide Variations (SNV)50% non synonymous

500 rare (<0.1%) SNVs not present in the data bases 1 de novo SNV with potential impact per generation

UNDERESTIMATED VARIABILITY OF THE HUMAN GENOME

Page 6: ITMO Genetics, Genomics  and Bioinformatics

MAIN CHALLENGE OF NGS : INTERPRETATION OF GENETIC VARIATIONS

1995-2010Detection of mutations

Since 2010Interpretation of mutations

Discovery of the DNA polymorphism complexity SNV, SNP, CNV…..

Biological and medical interpretation

Phenotypic evaluationStatistical analyses Animal models

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EXTENSIVE CHARACTERIZATION OF THE GENETIC DETERMINISM OF DISEASES

Single case Extreme phenotype

17000 SNVsExclusion of non genic– intronic – synonymous SNPs : 5000 SNVs

Exclusion of SNVs from dbSNP131 -1000 genome project - in house exomes - 5379 exomes*400 non-synonymous/splice acceptor donor site/frameshift coding indels

Substractive exomes in trio

Comparative exomesinter-families

Familial cases

III.12°III.5° III.7° III.8° III.9°

II.5

III.16° III.17 III.18° III.19

?III.23°

?

II.9°

III.29° III.30° III.31° III.32°

? ?

II.8°

????

??

? ? ? ? ??III.26° III.27° III.28°

?

56 (52) (51) (48)

?

(43) (46) (41) (36)

I.1 I.2

II.2 II.4 II.7°

III.4 III.6 III.11 III.13 III.14 III.15 III.22° III.24° III.25

IV.1° IV.2° IV.3

Comparative exomesbetween relatives

Subtraction of inherited SNVs

De novo mutations : 0-10

Genes affected by identical variations : 20

Altered genes in common

*NHLBI Grand Opportunity Exome Sequencing Project

September 2013 : 900 publications

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Colon cancer 62 years

WT/ mt Wt/ Wt WT/WT

Suppression of an illegitimate anxiety and inappropriate medical follow-up

in non mutation carriers

WT/ mt

Colonoscopy since 20 years of age every 2 years

Colon cancer 32 years Colon cancer 36 years

OPTIMIZATION OF PERSONALIZED MEDICINE

Hereditary colorectal cancer : 1/500High throughputSimultaneous analysis of genes

Reduction of delay

MSH2, MLH1, MSH6 ,PMS2, APC, MUTYH,

SMAD4, BMPR1A,STK11, PTEN

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Risk

of d

isea

se

100%

40%

60%

80%

Number of genetic variations100

Oligogenicdiseases

Age

Multigenicdiseases

Monogenic diseases

Biol

ogic

al to

lera

nce

NGS HIGHLIGHTS THE COMPLEXITY OF THE GENETIC DETERMINISM OF DISEASES

Personalized medicine

1 5

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Mis-interpretation of the medical significance of the genetic variations- Genomic reductionism “and tomorrow, everyone in this room will be

able to hold their genome in their iPad and You will be able to surf your genome and find out everything about yourself.“ Senior VP , Illumina, June 2013

- Development of Direct-to-consumer (DTC) genetic testing services- No medical value of genetic analyses without clinical evaluation

Access to genome data : the global alliance white paper“Cancers, rare diseases, common diseases infectious diseases” “Serving the needs of the entire biomedical ecosystems: patients, researchers hospitals, biopharma, institutions, clinical trials, governments”

Cloud computing for storage controlled access

ETHICAL ISSUES OF NGS IN THE CONTEXT OF PERSONALIZED MEDICINE

10CEA

CHRU CNRS CPU INRA INRIA INSERM INSTITUT PASTEUR IRDARIIS EFS INERIS INSTITUT CURIE INSTITUT MINES-TELECOM UNICANCERIRBA IRSNCIRAD

FONDATION MERIEUX


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