Maik Pietzner

Professor

Queen Mary University of London

United Kingdom

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Maik Pietzner is a Professor at Queen Mary University of London, UK. His research focuses on the genetic regulation of the human plasma proteome, phenotyping algorithms for diseases, and the implications of medical history on disease onset and health threats. Recent articles highlight his work on multi-omics drug targeting for heart failure and the impact of thyroid hormone measurements on metabolism. He also explores multimorbidity patterns related to severe COVID-19 and long COVID.

Articles (10)

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2025

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2025

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2025

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2025

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2025

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2024

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2024

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2024

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2024

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2024

Collaborators (6)

Harry Hemingway

University College London

UNITED KINGDOM

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Matthias Arnold

Adj. Associate Professor

Duke University

UNITED STATES

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Eric Farber-Eger

Vanderbilt University Medical Center

UNITED STATES

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Benjamin Wild

Charité - Universitätsmedizin Berlin

GERMANY

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GIORGIO BINI

Istituto Italiano di Tecnologia

ITALY

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Julius Upmeier zu Belzen

Berlin Institute of Health at Charité - Universitätsmedizin Berlin

GERMANY

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Maik Pietzner

Research Interests

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Articles (10)

Sex differences in the genetic regulation of the human plasma proteome

Author Correction: Medical history predicts phenome-wide disease onset and enables the rapid response to emerging health threats

Large-scale multi-omics identifies drug targets for heart failure with reduced and preserved ejection fraction

Medical history predicts phenome-wide disease onset and enables the rapid response to emerging health threats

A computational framework for defining and validating reproducible phenotyping algorithms of 313 diseases in the UK Biobank.

Complex patterns of multimorbidity associated with severe COVID-19 and long COVID

RETRACTED ARTICLE: Medical history predicts phenome-wide disease onset and enables the rapid response to emerging health threats

Mapping biological influences on the human plasma proteome beyond the genome

Proteomic signatures improve risk prediction for common and rare diseases

Testing for a causal role of thyroid hormone measurements within the normal range on human metabolism and diseases: a systematic Mendelian randomization

Collaborators (6)

Harry Hemingway

Matthias Arnold

Eric Farber-Eger

Benjamin Wild

GIORGIO BINI

Julius Upmeier zu Belzen

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