Richard Houlston

Professor

Institute of Cancer Research Sutton

United Kingdom

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Professor Richard Houlston is a faculty member at the Institute of Cancer Research Sutton in the United Kingdom. His research focuses on cancer risk factors, employing methodologies such as Mendelian randomisation to explore the genetic and environmental influences on malignancies. Recent publications highlight his contributions to understanding the genetic landscape of various cancers, including colorectal, breast, and acute myeloid leukaemia.

Articles (17)

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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

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2023

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2022

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2022

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2022

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2021

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2021

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2021

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2021

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2020

Collaborators (8)

Amit Sud

University of Oxford

UNITED KINGDOM

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Philip Law

Institute of Cancer Research

UNITED KINGDOM

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Codie Gerlach-Wood

University of Bristol

UNITED KINGDOM

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Linden Disney-Hogg

University of Leeds

UNITED KINGDOM

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Jacob Edelson

Division of Cancer Epidemiology and Genetics, National Cancer Institute

UNITED STATES

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Valentina Escott-Price

Professor

Cardiff University

UNITED KINGDOM

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Jeremy P. Cheadle

UNITED KINGDOM

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Malcolm Dunlop

Professor

University of Edinburgh

UNITED KINGDOM

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Richard Houlston

Research Interests

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About

Articles (17)

Mendelian randomisation analysis to discover plasma metabolites mediating the effect of obesity on cancer risk

Mendelian randomization of immune cell phenotypes to discover potential drug targets for B-cell malignancy

Systematic prioritization of functional variants and effector genes underlying colorectal cancer risk

Using Mendelian Randomisation to search for modifiable risk factors influencing the development of clonal haematopoiesis

Genetic landscape of interval and screen detected breast cancer

Radiogenomic biomarkers for immunotherapy in glioblastoma: A systematic review of magnetic resonance imaging studies

Appraising ascorbic acid as a chemoprevention agent for acute myeloid leukaemia using Mendelian Randomisation

Germline variation in RASAL2 may predict survival in patients with RAS‐activated colorectal cancer

Genetic risk scores may compound rather than solve the issue of prostate cancer overdiagnosis

Algorithmic considerations when analysing capture Hi-C data

Polygenic risk scores to stratify cancer screening should predict mortality not incidence

Phenome-wide association study (PheWAS) of colorectal cancer risk SNP effects on health outcomes in UK Biobank

The clinical utility of polygenic risk scores for chronic lymphocytic leukemia

Cancer drivers and clonal dynamics in acute lymphoblastic leukaemia subtypes.

Partitioned glioma heritability shows subtype-specific enrichment in immune cells

Will polygenic risk scores for cancer ever be clinically useful?

Algorithmic considerations when analysing capture Hi-C data

Collaborators (8)

Amit Sud

Philip Law

Codie Gerlach-Wood

Linden Disney-Hogg

Jacob Edelson

Valentina Escott-Price

Jeremy P. Cheadle

Malcolm Dunlop

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