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Correcting the epigenetic
consequence of personal genetic
and environmental risk	
Joanna D Holbrook
Professor of Bioinformatics, NIHR Southampton Biomedical Research
Centre, University of Southampton and University Hospital Southampton
NHS Foundation Trust and Senior Principal Investigator, Singapore
Institute for Clinical Sciences (SICS)
The 3rd Precision Medicine Congress
13th September 2016
Our genetics and our environment
define our disease risk	
Genetics
Environment
Disease
time
The molecular state of malignancy
can guide cancer treatment
Genetics
Environment
Disease
time
Tumour
Protein
RNA
Genetics
Stratified medicine for non-
malignant disorders
Genetics
Environment
Disease
time
Peripheral tissue
Protein
RNA
DNA methylation is a product of
genetics and environment and is
associated with disease	
Genetics
Environment
Disease
time
DNA
methylation
Uses for disease-associated DNA
methylation marks	
1.  As prognostic markers which combine
consequences of genetic and environmental
risk
2.  As markers of intervention efficacy.
3.  As surrogate endpoints for drug discovery
4.  As drug targets – the modifiable aspect of
genetic risk
Three statements that need to
be evidenced
1. DNA methylation is a product of both
genetics and environment
2. DNA methylation is associated with disease
3. There is evidence that its causative for some
combinations of loci and disease. (However,
for most combinations, reverse causation or
confounding has not been excluded)
Three statements that need to
be evidenced
1. DNA methylation is a product of both
genetics and environment
2. DNA methylation is associated with disease
3. There is evidence that its causative for some
combinations of loci and disease. (However,
for most combinations, reverse causation or
confounding has not been excluded)
9	
DNA polymorphism can specify inter-
individual variation in DNA methylation
Individual environment can affect DNA
methylation patterns
Data from the GUSTO birth cohort
Preconceptional
health
Anxiety – depression
Nutritional status
etc..
Gestational
environment
Cortisol
Hyperglycemia
Hypertension
etc..
Birth and infancy
conditions
Delivery mode
Mode of feeding
etc..
Birth outcomes
Gestational age
Birth weight/adiposity
Brain size and connectivity Development
Metabolism
Neurocognition
Disease
Obesity
pathopsychology
How does my body remember
what happened to me
previously, and how does
that affect subsequent
health?
GUSTO neonates’ genotypes are
determined by ethnicity, but their
DNA methylomes are not
Sliding scale of genotypic
influence on methylation
Methylation at majority of VMRs
best explained by interaction of
genetics and environment
G x E
(74.6%)
Genotype
alone
(25.4%)
Competing models
Genotype model:
Meth ~ G1 + gender + cell
Environment model:
Meth ~ Envi + gender + cell
Genotype X Environment model:
Meth ~ G2 + Envi + G2xEnvi + gender + cell
There is often a
genotypic class
“sensitive” to
environment
Three statements that need to
be evidenced
1. DNA methylation is a product of both
genetics and environment
2. DNA methylation is associated with disease
3. There is evidence that its causative for some
combinations of loci and disease. (However,
for most combinations, reverse causation or
confounding has not been excluded)
DNA methylation within HIF3A is
associated with adiposity
And the association is modified
by genotype
Three statements that need to
be evidenced
1. DNA methylation is a product of both
genetics and environment
2. DNA methylation is associated with disease
3. There is evidence that its causative for some
combinations of loci and disease. (However,
for most combinations, reverse causation or
confounding has not been excluded)
DNA methylation is predictive of
later phenotype
HES1 methylation at birth
Child’sIQat4yearsofage
GxE
GxE
GxE
M P
P M
P
M
AHRR and F2RL3 methylation is
causal in the pathway from
smoking to lung cancer
37% of the total effect of
smoking on lung cancer
risk is mediated via
methylation in AHRR and
FR2L3
And its reversible
Three statements that need to
be evidenced
1. DNA methylation is a product of both
genetics and environment
2. DNA methylation is associated with disease
3. There is evidence that its causative for some
combinations of loci and disease. (However,
for most combinations, reverse causation or
confounding has not been excluded)
Uses for disease-associated DNA
methylation marks	
1.  As prognostic markers which combine
consequences of genetic and
environmental risk
2.  As markers of intervention efficacy.
3.  As surrogate endpoints for drug discovery
Uses for disease-associated DNA
methylation marks	
1.  As prognostic markers which combine
consequences of genetic and
environmental risk
2.  As markers of intervention efficacy.
3.  As surrogate endpoints for drug discovery
Epigenetic Biomarkers and
Determinants of
Cardiovascular Risk in Children	
Genetics
Preconceptional/
Gestational
Environment
CVD risk factors
at 12yo
time
DNA methylation
At birth
Childhood Environment
Adiposity in
infancy and
childhood
DNA
methylation at
12yo
Karen	Lillycrop	
Mark	Hanson	
CVD in
adulthood
?
?
Uses for disease-associated DNA
methylation marks	
1.  As prognostic markers which combine
consequences of genetic and
environmental risk
2.  As markers of intervention efficacy
3.  As surrogate endpoints for drug discovery
Preventing vertical transmission of
diabetes risk	
Maternal and
offspring genetics
Pre-conceptional and gestational
environment esp. maternal
hyperglycemia
Offspring
metabolic profile
in adulthood
time
DNA methylation
At birth
Behavioural
(UPBEAT)
Or nutritional
(NIPPER)
intervention
Uses for disease-associated DNA
methylation marks	
1.  As prognostic markers which combine
consequences of genetic and
environmental risk
2.  As markers of intervention efficacy
3.  As surrogate endpoints for drug discovery
In conclusion
•  DNA methylation biomarkers are a promising avenue for expanding
preventative medicine to non-malignant and complex diseases.
•  DNA methylation is downstream of genetic and environmental influences on
disease,
…. And upstream of disease.
•  In some instances, DNA methylation marks have been shown to be on the
causal pathway to disease.
•  Disease associated DNA methylation marks have utility as prognostic
biomarkers, biomarkers for intervention efficacy and as surrogate endpoints
for discovery of new therapeutics.
•  Studies to pursue these uses will shed further light on the role of DNA
methylation in disease etiology.
Acknowledgements	
•  Epigen:		
–  The Liggins Institute, NZ
–  The University of Auckland, NZ
–  Human Development and Health Academic Unit, University of
Southampton, UK
–  MRC Lifecourse Epidemiology Unit, University of Southampton, UK
–  Singapore Institute for Clinical Sciences (SICS), A*STAR, SG
–  The National University of Singapore, SG

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precision_medicine_080916_nonconfidential

  • 1. Correcting the epigenetic consequence of personal genetic and environmental risk Joanna D Holbrook Professor of Bioinformatics, NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust and Senior Principal Investigator, Singapore Institute for Clinical Sciences (SICS) The 3rd Precision Medicine Congress 13th September 2016
  • 2. Our genetics and our environment define our disease risk Genetics Environment Disease time
  • 3. The molecular state of malignancy can guide cancer treatment Genetics Environment Disease time Tumour Protein RNA Genetics
  • 4. Stratified medicine for non- malignant disorders Genetics Environment Disease time Peripheral tissue Protein RNA
  • 5. DNA methylation is a product of genetics and environment and is associated with disease Genetics Environment Disease time DNA methylation
  • 6. Uses for disease-associated DNA methylation marks 1.  As prognostic markers which combine consequences of genetic and environmental risk 2.  As markers of intervention efficacy. 3.  As surrogate endpoints for drug discovery 4.  As drug targets – the modifiable aspect of genetic risk
  • 7. Three statements that need to be evidenced 1. DNA methylation is a product of both genetics and environment 2. DNA methylation is associated with disease 3. There is evidence that its causative for some combinations of loci and disease. (However, for most combinations, reverse causation or confounding has not been excluded)
  • 8. Three statements that need to be evidenced 1. DNA methylation is a product of both genetics and environment 2. DNA methylation is associated with disease 3. There is evidence that its causative for some combinations of loci and disease. (However, for most combinations, reverse causation or confounding has not been excluded)
  • 9. 9 DNA polymorphism can specify inter- individual variation in DNA methylation Individual environment can affect DNA methylation patterns
  • 10. Data from the GUSTO birth cohort Preconceptional health Anxiety – depression Nutritional status etc.. Gestational environment Cortisol Hyperglycemia Hypertension etc.. Birth and infancy conditions Delivery mode Mode of feeding etc.. Birth outcomes Gestational age Birth weight/adiposity Brain size and connectivity Development Metabolism Neurocognition Disease Obesity pathopsychology How does my body remember what happened to me previously, and how does that affect subsequent health?
  • 11. GUSTO neonates’ genotypes are determined by ethnicity, but their DNA methylomes are not
  • 12. Sliding scale of genotypic influence on methylation
  • 13. Methylation at majority of VMRs best explained by interaction of genetics and environment G x E (74.6%) Genotype alone (25.4%) Competing models Genotype model: Meth ~ G1 + gender + cell Environment model: Meth ~ Envi + gender + cell Genotype X Environment model: Meth ~ G2 + Envi + G2xEnvi + gender + cell
  • 14. There is often a genotypic class “sensitive” to environment
  • 15. Three statements that need to be evidenced 1. DNA methylation is a product of both genetics and environment 2. DNA methylation is associated with disease 3. There is evidence that its causative for some combinations of loci and disease. (However, for most combinations, reverse causation or confounding has not been excluded)
  • 16. DNA methylation within HIF3A is associated with adiposity
  • 17. And the association is modified by genotype
  • 18. Three statements that need to be evidenced 1. DNA methylation is a product of both genetics and environment 2. DNA methylation is associated with disease 3. There is evidence that its causative for some combinations of loci and disease. (However, for most combinations, reverse causation or confounding has not been excluded)
  • 19. DNA methylation is predictive of later phenotype HES1 methylation at birth Child’sIQat4yearsofage GxE GxE GxE M P P M P M
  • 20. AHRR and F2RL3 methylation is causal in the pathway from smoking to lung cancer 37% of the total effect of smoking on lung cancer risk is mediated via methylation in AHRR and FR2L3 And its reversible
  • 21. Three statements that need to be evidenced 1. DNA methylation is a product of both genetics and environment 2. DNA methylation is associated with disease 3. There is evidence that its causative for some combinations of loci and disease. (However, for most combinations, reverse causation or confounding has not been excluded)
  • 22. Uses for disease-associated DNA methylation marks 1.  As prognostic markers which combine consequences of genetic and environmental risk 2.  As markers of intervention efficacy. 3.  As surrogate endpoints for drug discovery
  • 23. Uses for disease-associated DNA methylation marks 1.  As prognostic markers which combine consequences of genetic and environmental risk 2.  As markers of intervention efficacy. 3.  As surrogate endpoints for drug discovery
  • 24. Epigenetic Biomarkers and Determinants of Cardiovascular Risk in Children Genetics Preconceptional/ Gestational Environment CVD risk factors at 12yo time DNA methylation At birth Childhood Environment Adiposity in infancy and childhood DNA methylation at 12yo Karen Lillycrop Mark Hanson CVD in adulthood ? ?
  • 25.
  • 26. Uses for disease-associated DNA methylation marks 1.  As prognostic markers which combine consequences of genetic and environmental risk 2.  As markers of intervention efficacy 3.  As surrogate endpoints for drug discovery
  • 27. Preventing vertical transmission of diabetes risk Maternal and offspring genetics Pre-conceptional and gestational environment esp. maternal hyperglycemia Offspring metabolic profile in adulthood time DNA methylation At birth Behavioural (UPBEAT) Or nutritional (NIPPER) intervention
  • 28. Uses for disease-associated DNA methylation marks 1.  As prognostic markers which combine consequences of genetic and environmental risk 2.  As markers of intervention efficacy 3.  As surrogate endpoints for drug discovery
  • 29. In conclusion •  DNA methylation biomarkers are a promising avenue for expanding preventative medicine to non-malignant and complex diseases. •  DNA methylation is downstream of genetic and environmental influences on disease, …. And upstream of disease. •  In some instances, DNA methylation marks have been shown to be on the causal pathway to disease. •  Disease associated DNA methylation marks have utility as prognostic biomarkers, biomarkers for intervention efficacy and as surrogate endpoints for discovery of new therapeutics. •  Studies to pursue these uses will shed further light on the role of DNA methylation in disease etiology.
  • 30. Acknowledgements •  Epigen: –  The Liggins Institute, NZ –  The University of Auckland, NZ –  Human Development and Health Academic Unit, University of Southampton, UK –  MRC Lifecourse Epidemiology Unit, University of Southampton, UK –  Singapore Institute for Clinical Sciences (SICS), A*STAR, SG –  The National University of Singapore, SG