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Associate Professor Michael Inouye

Associate Professor Michael Inouye

Principal Investigator of Inouye Lab


Research Interests

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.

Mike grew up in the Seattle area before beginning undergraduate study in 1999 at the University of Washington, where he later graduated with BSc's in biochemistry and economics. During this time he was also introduced to computational genomics as the initial draft Human Genome was being finished, spending several years doing research in gene finding and protein structure prediction. He continued studying biochemistry as a graduate student at UCLA, but returned to genomics in 2005 when he moved to the Wellcome Trust Sanger Institute in 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 first wave of genome-wide association studies, especially the statistical methods thereof. He also led large-scale studies to integrate multi-omic data, and identified a gene co-expression network related to the innate immune response and associated with diverse metabolic traits. In 2010, Mike moved to the Walter and Eliza Hall Institute in Melbourne on a postdoctoral fellowship to continue applying genomic expertise to problems in immunology. In 2012, he joined the faculty at the University of Melbourne where he built a research program in systems genomics with particular focus on clinical and public health problems. In 2017, Mike and his lab were recruited to the Baker Institute and the Department of Public Health and Primary Care at Cambridge University, where he has a joint appointment.

Keywords

cardiovascular genomics ; functional genomics

Key Publications

1. Holt KE, ... [14 co-authors] ..., Inouye M, Caws M, Dunstan SJ. Genomic analysis of Mycobacterium tuberculosis reveals complex etiology of tuberculosis in Vietnam including frequent introduction and transmission of Beijing lineage and positive selection for EsxW Beijing variant. Nature Genetics 2018. in press.

2. Nath AP, ... [24 co-authors] ..., Inouye M. An interaction map of circulating metabolites, immune gene networks and their genetic regulation. Genome Biology 2017. 13(6):e1006328.

3. Byars SG, ... [6 co-authors] ..., Inouye M. Genetic loci associated with coronary artery disease harbor evidence of selection and antagonistic pleitropy. PLOS Genetics 2017. 13(6)e1006328.

4. Ritchie SC, ... [4 co-authors] ..., Inouye M. A permutation-based approach to replication and preservation of network modules in large datasets. Cell Systems 2016. 3(1):71-82.

5. Abraham G, ... [12 co-authors] ..., Samani NJ*, Salomaa V*, Ripatti S*, Inouye M*. Genomic prediction of coronary heart disease. European Heart Journal 2016. ehw450.

6. Teo SM Inouye M*. The infant airway microbiome impacts severity of lower respiratory infection and risk of asthma development. Cell Host & Microbe 2015. 17:1-12.

7. Ritchie SC, ... [20 co-authors] ..., Kettunen J*, Inouye M*. The biomarker GlycA is associated with chronic inflammation and predicts long-term risk of severe infection. Cell Systems 2015. 1(4):293-301.

8. Inouye M, ... [6 co-authors] ..., Holt KE. SRST2: Rapid genomic surveillance for public health and hospital microbiology labs. Genome Medicine 2014. 6:90.

9. Abraham G, ... [4 co-authors] ..., Inouye M. Accurate and robust genomic prediction of celiac disease using statistical learning. PLOS Genetics 2014. 10(2): e1004137.

10. Inouye M, ... [18 co-authors] ..., de Bakker PIW. Novel loci for metabolic networks and multi-tissue expression studies reveal genes for atherosclerosis. PLOS Genetics 2012. 8(8):e1002907.

 

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