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Michael Brett

Michael Brett

· Professor

University of Washington · Civil & Environmental Engineering

Active 1964–2026

h-index29
Citations3.7k
Papers31715 last 5y
Funding

Academic metrics are sourced from OpenAlex and public funding records; values may differ from Google Scholar.

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About

Professor Michael Brett is a faculty member in the Department of Civil & Environmental Engineering at the University of Washington. His research focuses on environmental engineering, specifically on eutrophication and regulation of algal biomass, secondary production in lakes, essential fatty acid production, bioaccumulation in aquatic food webs, zooplankton ecology, and aquatic food-web ecology. His work involves understanding and managing aquatic ecosystems, with an emphasis on water quality and ecological health.

Research topics

  • Genetics
  • Biology
  • Medicine
  • Machine Learning
  • Virology
  • Computational biology
  • Computer Science
  • Internal medicine
  • Physics
  • Evolutionary biology

Selected publications

  • Mapping the human genetic architecture of COVID-19

    Nature · 2021 · 1108 citations

    . They also represent potentially actionable mechanisms in response to infection. Mendelian randomization analyses support a causal role for smoking and body-mass index for severe COVID-19 although not for type II diabetes. The identification of novel host genetic factors associated with COVID-19 was made possible by the community of human genetics researchers coming together to prioritize the sharing of data, results, resources and analytical frameworks. This working model of international coll…

  • Whole-genome sequencing reveals host factors underlying critical COVID-19

    Nature · 2022 · 344 citations

    after infection with SARS-CoV-2. The GenOMICC (Genetics of Mortality in Critical Care) study enables the comparison of genomes from individuals who are critically ill with those of population controls to find underlying disease mechanisms. Here we use whole-genome sequencing in 7,491 critically ill individuals compared with 48,400 controls to discover and replicate 23 independent variants that significantly predispose to critical COVID-19. We identify 16 new independent associations, including v…

  • GWAS and meta-analysis identifies 49 genetic variants underlying critical COVID-19

    Nature · 2023 · 197 citations

    . Here we analyse 24,202 cases of COVID-19 with critical illness comprising a combination of microarray genotype and whole-genome sequencing data from cases of critical illness in the international GenOMICC (11,440 cases) study, combined with other studies recruiting hospitalized patients with a strong focus on severe and critical disease: ISARIC4C (676 cases) and the SCOURGE consortium (5,934 cases). To put these results in the context of existing work, we conduct a meta-analysis of the new Gen…

  • Common, low-frequency, rare, and ultra-rare coding variants contribute to COVID-19 severity

    Human Genetics · 2021 · 39 citations

    The combined impact of common and rare exonic variants in COVID-19 host genetics is currently insufficiently understood. Here, common and rare variants from whole-exome sequencing data of about 4000 SARS-CoV-2-positive individuals were used to define an interpretable machine-learning model for predicting COVID-19 severity. First, variants were converted into separate sets of Boolean features, depending on the absence or the presence of variants in each gene. An ensemble of LASSO logistic regress…

  • Population and Conversion to Islam in Egypt in the Mediaeval Period

    2019-05-03 · 1 citations

    book-chapter1st authorCorresponding

Frequent coauthors

  • D R O B I N S O N

    Goethe University Frankfurt

    81 shared
  • Duy Ngoc

    81 shared
  • M M B O D J I Universitede

    University of Edinburgh

    81 shared
  • M P O S N A N S K Y

    Xinjiang Medical University

    52 shared
  • Michael W. Crowder

    Miami University

    52 shared
  • J. Kenneth Baillie

    Roslin Institute

    45 shared
  • R O L I V E

    University of Ghana

    36 shared
  • K R H I N

    Université Paris Cité

    36 shared

Education

  • PhD in Mechanical Engineering, Mechanical Engineering

    Imperial College London

    2012
  • Master in Mechanical Engineering, Mechanical Engineering

    Universidade de Coimbra

    2008
  • Mechanical Engineering (5 year degree equivalent to BEng+MEng) - Specialization: Production Branch, Mechanical Engineering

    Universidade de Coimbra

    2007

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