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Dealing with your personal genome



                     Prof. Dr. Koen Kas
                            TEDxFlanders
                                 Antwerp
                         October 20, 2012
1 thing in common
with 7B people
Human genome
project:
1989 - 2001/2003
DNA (genome or
genetic code):
3.000.000.000
                 99,9 % identical   2% differences




                 x10 characters     3x longer genome
The building blocks of life


                              1% exome = 21.000
                              building block genes

                              14.000 meaning

                              3.500 disease
ENCODE :
1% real parts – 79% - 99% instructions
Soon, essentially for free
 X 1.000
Personal genome analysers
Opportunities vs Challenges
Cancer:
Collection of rare diseases of the genome
Cancer drugs get personal




                            Treatment ‘V600E BRAF’
Fetal sequencing
from 1 drop mom’s
blood

No more invasive testing
IDs 3.500 disease/all
But can we handle our
personal genome ?
Incidental findings
to report
How many ‘personal genomes’ around?


250.000+           106K = 0,03%

25.000+            Whole exome = 1%

2.500+             Whole genome

cf 1.000.000.000   accounts
Time for some introspection
‘Typical odds’ not   Could loose eyesight –
    being bald            but when?

                              Detailed numbers of SNPs            Nr

                              Number of SNPs in exome        22247

                              Number of missense mutations   10617

                              Number synonymous mutations    11121

                              Gain of stop codon mutations   83
                              Loss of stop codon mutations   15
So what does our code
really tells us today ?
And can we act upon it ?
Life build/executed
from 6 layers code (-omes)
• Genome
• Epigenome -
  methylome
• Transcriptome
• Proteome
• Metabolome

• Microbiome
Our genome interacts
with the world around us
Need to combine -omes data
Need to combine -omes (and other) data


• Personal Omics Profile
  (iPOP) - n=1, 1.5Y, 300 Tb

• Quantified self movement
• Tricorder-like devs &
  wearable sensors
Finding novel features mining shared genomes
Growing patient awareness - Participation
New findings start to pour in...




Gene defends against   Thrill seeking
Alzheimer’s disease    ‘cheating gene’
The promise of exploring your genome
Join panel based on taste coriander

Request the right drugs subscribed
Incentives from exploiting your genome




   Online genome games   Sign up for clinical trial
                         based on your genome
14 years ago
“nonsense” to build search engine




        “There is not enough to search for”
To help dealing with your genome
Lifeskout




                                   Summer 2013
Personalised    Predictive

Participatory   Preventive

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Koen Kas TEDx Flanders - Oct20, 2012