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Stefan Gräf

Research Professor of Computational Genomics & Genomic Medicine

University of Cambridge
Country flagUnited Kingdom

Research Interests

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Articles (7)

Year:

2026

Year:

2025

Year:

2025

Background Pulmonary arterial hypertension (PAH) exhibits phenotypic heterogeneity and variable response to therapy. The metabolome has been implicated in the pathogenesis of PAH, but previous works have lacked power to implicate specific metabolites. Mendelian randomization (MR) is a method for causal inference between exposures and outcomes. Methods and Results Using genome‐wide association study summary statistics, we implemented MR analysis to test for potential causal relationships between serum concentration of 575 metabolites and PAH. Five metabolites were causally associated with the risk of PAH after multiple testing correction. Next, we measured serum concentration of candidate metabolites in an independent clinical cohort of 449 patients with PAH to check whether metabolite concentrations are correlated with markers of disease severity. Of the 5 candidates nominated by our MR work, serine was negatively associated and homostachydrine was positively associated with clinical severity of PAH via direct measurement in this independent clinical cohort. Finally we used conditional and orthogonal approaches to explore the biology underlying our lead metabolites. Rare variant burden testing was carried out using whole exome sequencing data from 578 PAH cases and 361 675 controls. Multivariable MR is an extension of MR that uses a single set of instrumental single‐nucleotide polymorphisms to measure multiple exposures; multivariable MR is used to determine interdependence between the effects of different exposures on a single outcome. Rare variant analysis demonstrated that loss‐of‐function mutations within activating transcription factor 4, a transcription factor responsible for upregulation of serine synthesis under conditions of serine starvation, are associated with higher risk for PAH. Homostachydrine is a xenobiotic metabolite that is structurally related to l ‐proline betaine, which has previously been linked to modulation of inflammation and tissue remodeling in PAH. Our multivariable MR analysis suggests that the effect of l ‐proline betaine is actually mediated indirectly via homostachydrine. Conclusions Our data present a method for study of the metabolome in the context of PAH, and suggests several candidates for further evaluation and translational research.

Year:

2024

Year:

2024

Year:

2024

Year:

2023

Collaborators (19)

Andrew Sweatt

Assistant Professor- University Medical Line

Stanford University

UNITED STATES
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Laura Southgate

Senior Lecturer in Genetics

St George’s, University of London

UNITED KINGDOM
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Rajiv David Machado

Visiting Lecturer

St George’s, University of London

UNITED KINGDOM
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Christopher Rhodes

Imperial College London

UNITED KINGDOM
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Laurent Savale

Assistance Publique - Hôpitaux de Paris

FRANCE
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anna hemnes

Associate Professor

Vanderbilt University Medical Center

UNITED STATES
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Martin Wilkins

Imperial College London

UNITED KINGDOM
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Benjamin Woolf

Academic , Senior Research Associate in Integrative Epidemiology

University of Bristol

UNITED KINGDOM
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Alexander Rothman

University of Sheffield

UNITED KINGDOM
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Sarah K Binmahfooz

University of Sheffield

UNITED KINGDOM
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Rozenn Quarck

Scientific Research Expert

KU Leuven

BELGIUM
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Christophe GUIGNABERT

Director of Research (DR1) - Full Professor of Molecular Biology & Physiology

INSERM

FRANCE
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Jim Wild

Professor of Magnetic Resonance Physics

University of Sheffield

UNITED KINGDOM
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Johnathan Cooper‐Knock

-

UNITED KINGDOM
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James West

Professor

Vanderbilt University Medical Center

UNITED STATES
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Athénaïs Boucly

Université Paris-Saclay

FRANCE
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Wendy Chung

Kennedy Family Professor

Columbia University Vagelos College of Physicians and Surgeons

UNITED STATES
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Eric D. Austin

Associate Professor of Pediatrics

Vanderbilt University Medical Center

UNITED STATES
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Stephen Burgess

Group leader

University of Cambridge

UNITED KINGDOM
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