EdgeLeap: From systems complexity to personalized health

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www.edgeleap.com Marijana Radonjic, PhD Thomas Kelder, PhD [email protected] FROM SYSTEMS COMPLEXITY TO PERSONALIZED HEALTH This presentation remains property of EdgeLeap B.V. and is licensed for reuse under a Creative Commons Attribution 4.0 International License (see http://creativecommons.org/licenses/by/4.0/).

description

Slides based on talk by EdgeLeap's CEO Marijana Radonjic at the Seminar System Biology, Maastricht, The Netherlands, 26 September 2014 (http://goo.gl/siyibc). This presentation shows EdgeLeap's vision on using data science to empower health research. Shown is also an example on how we combined different public resources (e.g. openSNP, SNPedia), and personal genetics information (23andMe profiles) and analysed these to extract relevant aspects (in this case drugs and food ingredients relevant for a specific disease).

Transcript of EdgeLeap: From systems complexity to personalized health

Page 1: EdgeLeap: From systems complexity to personalized health

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Marijana Radonjic, PhDThomas Kelder, PhD

[email protected]

FROM SYSTEMS COMPLEXITY

TO PERSONALIZED HEALTH

This presentation remains property of EdgeLeap B.V. and is licensed for reuse under a Creative Commons Attribution 4.0 International License (see http://creativecommons.org/licenses/by/4.0/).

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HEALTH IS COMPLEX…

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…BUT THAT’S OK

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Diameter of the World-wide WebAlbert, Jeong and Barabási, Nature 1999

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GOOGLE MAPS FOR BIOLOGY

http://diseasome.eu/about.html

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EdgeLeap TECHNOLOGY

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UNDERSTANDING SYSTEMS

Micronutrient

Diet

Drugs

Genotype

Protein

microRNA

Vascular stiffness

AdiposityInflammation

Brain activity

Insulin sensitivityGut function

HEALTH FACTORS

MOLECULAR DATA

PATHWAYS & MECHANISTIC

MODELS

PHYSIOLOGY

Socio-economic

status

HEALTH STATUSObesity Cancer Diabetes CVD

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ITERATIVE DISCOVERY

INTERVENE

UNDERSTAND

VISUALIZE

MINE

INTEGRATE

MEASURE

EdgeLeap

client

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PERSONALIZED HEALTH LANDSCAPE

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PEAK INTO THE FUTURE

JAN FEB MAR APR MAY JUN

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PERSONAL HEALTH LANDSCAPE

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BRIDGING FOOD, DRUGS AND DISEASE

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IngredientGene

FooDB: 9,955 food

ingredients, 858 foods

HMDB: 4,025 associated

enzymes & transporters

Disease

UMLS: 8,521 diseases

DisgeNET: 13,828

associated genes & proteins

GeneticsBiomarkersMechanistic

EnzymesTransporters

Drug

Drug TargetsDrugBank: 4714 drugs,

2179 drug target proteins

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BRIDGING FOOD, DRUGS AND DISEASE

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Ingredient

Disease

Drug

Gene

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FOOD - DRUG - DISEASE NETWORK

Significance filter(Monte Carlo randomization

procedure p < 0.001)

Projection to disease-drug-

ingredient space

Bipartitedisease-gene-drug-gene-ingredient

network

Disease-Drug-Ingredientnetwork

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Neoplasms

Metabolic syndrome and complications

Mental disorders817 connected diseases316 connected ingredients1,961 disease-ingredient relations(p < 0.001)Network cluster coefficient = 0.42 (v.s. random graph ~0.006)

FOOD - GENOMICS - DISEASE

LANDSCAPE

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NETWORK RECONSTRUCTS DISEASE AND

INGREDIENTS CLASSES

Most or all topology based clusters (47/67 for diseases and 10/10 for ingredients) are significantly enriched with one or more predefined MeSH disease and/or HMDB chemical classes (p < 0.05).

Significant enrichment (p < 0.01)

Clusters enriched with main disease classes

Clusters enriched with main ingredient classes

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Raw data

GOING PERSONALIZED

Rs1234(A;A)

Rs1234(G;G)

Increased risk

Decreased risk

Disconnected information

Personal disease-drug-ingredient

network

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MY FOOD - DISEASE LANDSCAPE

Disease

Decreased risk

Increased risk

Mixed evidence

Linked to variant

Not linked to variant

Ingredient

AtherosclerosisCoronary diseaseHypertensionObesityDiabetesDementia

Cancers

PsychosisAutismMigrane disordersDepression‘as if’ personalityNicotine dependence

Cluster headacheHypertension

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FOOD - ATHEROSCLEROSIS ASSOCIATION

Disease

Increased risk

Linked to variant

Not linked to variant

Ingredient

Vegetables;Fruits;Herbs and Spices;Nuts;Cereals and cereal products;Pulses;Teas;Gourds;Coffee

Fats and oilsCocoa and cocoa products;Fats and oils

Herbs and Spices

Cocoa and cocoa products;Fats and oils

CETP

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WHAT ELSE WILL BE AFFECTED?

Disease

Increased risk

Mixed evidence

Linked to variant

Ingredient

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HOW ABOUT DRUGS?

Linked to variant

Not linked to variant

Ingredient

Drug

Linked to variant

Not linked to variant

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TOWARDS PERSONALIZED PROFILES

23andMe SNP profiles(11 individuals)

Whole foods for which their ingredients enriched in personal networks

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THE VALUE

Understand big picture and mechanisms of diseases

Improved strategies to prevent and treat diseases

Sustainable solutions, reduced health care cost

Personalized profiles for disease risk and prevention

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EdgeLeap FOR YOU

Contract research: we can help you get most out of your data

Partner in H2020 calls: data integration and mining, across the consortium

Consultancy: support in bioinformatics / data analysis aspects

Training: bioinformatics and data analysis tools, from scripting in R to visualization in Cytoscape

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[email protected]

www.edgeleap.com

edgeleap

@EdgeLeap

Contact us to explore how we can help you in

making most out of your data!