Building on our 25-year track record in comprehensive genomic studies and addressing NHGRI's goal for this RFA, we propose to create, apply and test a powerful, reliable and general strategy for comprehensive identification of risk and protective variants that contribute significantly to any common disease of interest. Toward this end, we will: * Create a Common Disease Consortium (CDC) that brings together a collaborative network of investigators with deep clinical and genetic expertise and >1.1 million well-characterized samples (cases and controls) across diverse populations, including Europeans, African Americans, Hispanics and Asians. The CDC will undertake genetic studies under three major projects related to: (1) Five systemic diseases - early-onset coronary artery disease, type 2 diabetes, inflammatory bowel disease, atrial fibrillation, and stroke; (2) Three severe neurological disorders - autism, schizophrenia and epilepsy; and (3) Two countries with special advantages for genetic studies - Finland and Estonia. Through these three projects, the CDC will explore a range of study designs, population-genetic strategies, genetic architectures, and diverse populations. * Sequence 450,000 samples from the CDC, using the expertise of the Broad Institute's genomics platform to generate high quality data and to drive down sequencing costs. Analyze the sequence data to elucidate the genetic basis of the diseases, by applying state- of-the-art methods from in our preliminary studies and developing new methods to increase power to detect association. Create, disseminate and share data, tools, and resources, to enable the scientific community to access and analyze genetic studies from the CDC and other sources.

Public Health Relevance

We aim to develop, apply and test a powerful, reliable and general strategy for 'comprehensive' identification of risk and protective variants that contribute significantly to common diseases. Toward this end, we have assembled a Common Disease Consortium (including >1,100,000 samples from cases and controls for nine diseases and participants from two unusual national biobanks). We aim to sequence and analyze DNA and phenotypes from 450,000 samples, as well as to improve methods for sequencing and analysis.

National Institute of Health (NIH)
National Human Genome Research Institute (NHGRI)
Research Project with Complex Structure Cooperative Agreement (UM1)
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Special Emphasis Panel (ZHG1-HGR-P (O1))
Program Officer
Felsenfeld, Adam
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Broad Institute, Inc.
United States
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Murphy, Meredith P; Kuramatsu, Joji B; Leasure, Audrey et al. (2018) Cardioembolic Stroke Risk and Recovery After Anticoagulation-Related Intracerebral Hemorrhage. Stroke 49:2652-2658
Regier, Allison A; Farjoun, Yossi; Larson, David E et al. (2018) Functional equivalence of genome sequencing analysis pipelines enables harmonized variant calling across human genetics projects. Nat Commun 9:4038
Emdin, Connor A; Khera, Amit V; Chaffin, Mark et al. (2018) Analysis of predicted loss-of-function variants in UK Biobank identifies variants protective for disease. Nat Commun 9:1613
Khera, Amit V; Chaffin, Mark; Aragam, Krishna G et al. (2018) Genome-wide polygenic scores for common diseases identify individuals with risk equivalent to monogenic mutations. Nat Genet 50:1219-1224
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Khera, Amit V; Kathiresan, Sekar (2017) Is Coronary Atherosclerosis One Disease or Many? Setting Realistic Expectations for Precision Medicine. Circulation 135:1005-1007
Rusu, Victor; Hoch, Eitan; Mercader, Josep M et al. (2017) Type 2 Diabetes Variants Disrupt Function of SLC16A11 through Two Distinct Mechanisms. Cell 170:199-212.e20
Khera, Amit V; Kathiresan, Sekar (2017) Genetics of coronary artery disease: discovery, biology and clinical translation. Nat Rev Genet 18:331-344

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