Biography
Current roles
2022 – Theme Lead, Data Science and Population Health, NIHR Cambridge Biomedical Research Centre
2021 – Director of Research (i.e. Research Professor), Dept of Public Health & Primary Care, University of Cambridge
2021 – Professorial Fellow (Hon.), Baker Dept of Cardiometabolic Health, University of Melbourne
2020 – Munz Chair of Cardiovascular Prediction & Prevention, Baker Heart & Diabetes Institute
2018 – Director, Cambridge Baker Systems Genomics Initiative
Education
2010 PhD Computational Genomics, Leiden University / Wellcome Trust Sanger Institute
Mentors: Leena Peltonen & Gertjan van Ommen
Thesis: Analysis & algorithms in human disease genomics
2005 MSc Biochemistry & Molecular Biology, University of California Los Angeles
2004 BSc Biochemistry, University of Washington
2004 BSc Economics, University of Washington
Biography:
Mike grew up in the Seattle area before beginning undergraduate study in 1999 at the University of Washington, where he graduated with BSc’s in biochemistry and economics. As a 19 year-old, Mike began analyzing data from the draft Human Genome Project, spending several years doing research in gene finding and protein structure prediction. He continued studying protein structure as a graduate student at UCLA, but returned to genomics in 2005 when he moved to the Wellcome Trust Sanger Institute (Cambridge, UK). While at Sanger, Mike completed his PhD with Prof Leena Peltonen and Prof Gert-Jan van Ommen and was heavily involved in the analytics for the first wave of genome-wide association studies as well as large-scale studies integrating multi-omic data. After a postdoc at the Walter and Eliza Hall Institute (Melbourne, AU), he was recruited to the faculty at the University of Melbourne in 2012 where he built a research program in systems genomics with a focus on clinical and public health applications. In 2017, Mike was recruited to the Baker Institute and the University of Cambridge to set up a lab spanning Australia and the UK that focuses on core areas of systems genomics, including polygenic risk scores, integrated analysis of multi-omics data and development of analytic tools.
Research
The Inouye Lab aims to alleviate the burden of disease using its interdisciplinary strengths in statistics, computation and bioscience to leverage the latest genomic/biomolecular technologies.
Publications
Polygenic scores
- ICDA PRS Task Force (Co-corresponding: Willer CJ*, Inouye M*). Towards responsible use of polygenic risk scores in the clinic: potential benefits, risks and gaps. Nature Medicine
- Sun L, …, Inouye M*, Di Angelantonio E*. Polygenic risk scores in cardiovascular risk prediction: a cohort study and modelling analyses. PLOS Medicine
- Abraham G, …, Inouye M*, Dichgans M*. Genomic risk score offers predictive performance comparable to clinical risk factors for ischaemic stroke. Nature Communications
- Inouye M*, Abraham G*, …, Samani NJ. Genomic risk prediction of coronary artery disease in 480,000 adults: Implications for primary prevention. Journal of the American College of Cardiology
- Abraham G, …, Ripatti S*, Inouye M*. Genomic prediction of coronary heart disease. European Heart Journal
- Xu Y, …, Inouye M. Machine learning optimized polygenic scores for blood cell traits stratify sex-specific trajectories and identify genetic correlations with disease. Cell Genomics
- Abraham G, …, Inouye M. Accurate and robust genomic prediction of celiac disease using statistical learning. PLoS Genetics
- Abraham G, …, Inouye M. Performance and robustness of penalized and unpenalized methods for genetic prediction of complex human disease. Genetic Epidemiology
Multi-omics
- Ritchie SC, …, Inouye M. Integrative analysis of the plasma proteome and polygenic risk of cardiometabolic diseases. Nature Metabolism
- Foguet C, …, Inouye M. Genetically personalised organ-specific metabolic models in health and disease. Nature Communications
- Qin Y, …, Inouye M*, Meric G*. Combined effects of host genetics and diet on human gut microbiota and incident disease in a single population cohort. Nature Genetics
- Liu Y, …, Inouye M. Early prediction of liver disease using conventional risk factors and gut microbiome-augmented gradient boosting. Cell Metabolism
- Teo SM, …, Inouye M. Airway microbiota dynamics identify a critical window for interplay of pathogenic bacteria and allergy in childhood respiratory disease. Cell Host & Microbe
- Teo SM, …, Holt KE*, Inouye M*. The infant airway microbiome impacts severity of lower respiratory infection and risk of asthma development. Cell Host & Microbe
- Huang QQ, …, Inouye M. Neonatal genetics of gene expression reveal the potential origins of autoimmune and allergic disease risk. Nature Communications
- Ritchie SC, …, Kettunen J*, Inouye M*. The biomarker GlycA is associated with chronic inflammation and predicts long-term risk of severe infection. Cell Systems
Methods & Tools
- Lambert SA, …, Inouye M. The Polygenic Score Catalog as an open database for reproducibility and systematic evaluation. Nature Genetics
- Wand H*, Lambert SA*, …, Inouye M*, Wojcik GL*. Improving reporting standards for polygenic scores in risk prediction studies. Nature
- Abraham G, Qiu Y, Inouye M. Flashpca2: Principal component analysis of biobank-scale genotype datasets. Bioinformatics
- Ritchie SC, …, Inouye M*. A scalable permutation approach reveals replication and preservation patterns of network modules in large datasets. Cell Systems
- Inouye M, …, Holt KE. SRST2: Rapid genomic surveillance for public health and hospital microbiology labs. Genome Medicine
- Lannelongue L*, Grealey J*, Inouye M. Green Algorithms: Quantifying the carbon emissions of computation. Advanced Science
- Grealey J*, Lannelongue L*, …, Inouye M. The carbon footprint of bioinformatics. Molecular Biology and Evolution
