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CENTER FOR DATA SCIENCE SCIENCE Strength in Numbers AND BIG D BIG DATA ANALYTICS Big data approaches in cardiovascular genomic research Randal Westrick CDaS and Department of Biological Sciences Dec. 1, 2016 CENTER FOR DATA SC SCIENC


  1. CENTER FOR DATA SCIENCE SCIENCE Strength in Numbers AND BIG D BIG DATA ANALYTICS Big data approaches in cardiovascular genomic research Randal Westrick CDaS and Department of Biological Sciences Dec. 1, 2016

  2. CENTER FOR DATA SC SCIENC IENCE Strength in AND BIG BIG DATA A Numbers ANALYTICS Thrombosis is the #1 Cause of Morbidity and Mortality • Thrombosis • Blood clotting INSIDE the blood vessels • Arterial Thrombosis • Atherothrombosis in arteries following plaque rupture causes heart attacks and strokes • No way to predict which plaques will rupture • Venous thrombosis • Occurs in veins at sites of stasis, commonly veins of lower extremity • Venous thromboembolism (VTE) • Life threatening • No way to predict when VTE will occur

  3. CENTER FOR DATA SC SCIENC IENCE Strength in AND BIG BIG DATA A Numbers ANALYTICS What Are the Genetic and Environmental Risk Factors for Blood Clotting (Thrombosis)? Venous thrombosis Arterial thrombosis • 60% heritable • GENES ENVIRONMENT 60% heritable • Risk factors? • Factor V Leiden (F5 L ) • Plasminogen activator – Accounts for 25% of inhibitor 1 (PAI-1) genetic risk 40% • Causal? 60% – Not everybody inheriting F5 L will get venous Unknown thrombosis genes? – Tissue Factor Pathway Inhibitor? Improved human and animal studies of arterial and venous thrombosis are essential for identifying thrombosis genes and environmental triggers

  4. CENTER FOR DATA SC SCIENC IENCE Strength in AND BIG BIG DATA A Numbers ANALYTICS The Present Role of Big Data in Cardiovascular Thrombotic Disease • Researchers are harnessing Big Data Genomic Analyses to: • Identify disease susceptibility even before illness appears • Facilitate preventive treatment • Improve diagnosis • Tailor treatment to diagnosis • Facilitate treatment prescription with minimum toxicity and maximum efficacy (pharmacogenomics) • Efforts are centered on genotyping and sequencing hundreds of thousands of patient and control genomes • Analyses have not yet identified big effect genes (disregarding environment???)

  5. CENTER FOR DATA SC SCIENC IENCE Strength in AND BIG BIG DATA A Numbers ANALYTICS Genome Wide ENU Mutagenesis Suppressor Screen for Thrombosis Genes ENU ♂ X ♀ F5 L/+ TFPI +/- F5 L/L ENU induces ~30 random mutations X throughout the genome per offspring Normally lethal 134 10,415 → X Nonlethal genotypes F5 L/L TFPI +/- S +/- F5 L/L TFPI +/+ F5 L/+ TFPI +/+ ~2700 conceptions F5 L/+ TFPI +/- (~2-3X genome coverage)

  6. CENTER FOR DATA SC SCIENC IENCE Strength in AND BIG BIG DATA A Numbers ANALYTICS Identification of Thrombosis Genes by Whole Exome Sequencing 100x genome coverage per 50 megabase exome Pull out all coding sequence (exome) from genomic DNA samples Assembly and analysis of sequencing reads

  7. CENTER FOR DATA SC SCIENC IENCE Strength in AND BIG BIG DATA A Numbers ANALYTICS Mutation Burden Testing and Distributions of ENU Induced Variants in 114 F5 L/L TFPI +/- Mice NHLBI resequencing program Mutation Burden suppressor 1 suppressor 2 suppressor 3 suppressor 4 suppressor n ENU mutation suppressor mutation

  8. CENTER FOR DATA SC SCIENC IENCE Strength in AND BIG BIG DATA A Numbers ANALYTICS A Subset of Novel Thrombosis Genes Identified by Whole Exome Sequencing • Several thrombosis genes have been found through this method • The majority have not been found • Whole genome sequencing for the remainder p-value calculated by 10,000,000 permutations (normalized to gene size)

  9. CENTER FOR DATA SC SCIENC IENCE Strength in AND BIG BIG DATA A Numbers ANALYTICS Cardiovascular Thrombotic Disease Research at CDaS • Leverage Center expertise to analyze and identify environmental thrombosis triggers from lifestyle data (sleep, activity, stress…) using Biosensors • In our genetically susceptible rodents (proof of principal) • Humans (in partnership with Translational medicine researchers and companies) • Integrate Genome and Envirome information to inform us about how particular genomes interact with their environments • Graduate and Undergraduate Students will acquire research skills including Big Data Genome Analysis and Big Data Sensor/Scanning analyses • Develop novel preventive or pre-disease therapeutic strategies for thrombosis/cardiovascular disease

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