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Nature Communications|May 11, 2023
A machine learning model identifies patients in need of autoimmune disease testing using electronic health recordsIain S Forrest, Ben O Petrazzini, Áine Duffy, et al.
Plos Genetics|December 20, 2005
Genome-wide associations of gene expression variation in humansBarbara E Stranger, Matthew S Forrest, Andrew G Clark, et al.
JAMA|January 25, 2022
Population-Based Penetrance of Deleterious Clinical VariantsIain S Forrest, Kumardeep Chaudhary, Ha My T Vy, et al.
Science (New York, N.Y.)|August 28, 2025
Machine learning-based penetrance of genetic variantsIain S Forrest, Ha My T Vy, Ghislain Rocheleau, et al.
Cancer Epidemiology, Biomarkers & Prevention : a Publication of the American Association for Cancer Research, Cosponsored by the American Society of Preventive Oncology|May 26, 2004
High-throughput association testing on DNA pools to identify genetic variants that confer susceptibility to acute myeloid leukemiaSara Rollinson, James M Allan, Graham R Law, et al.
Environmental Health Perspectives|June 3, 2005
Discovery of novel biomarkers by microarray analysis of peripheral blood mononuclear cell gene expression in benzene-exposed workersMatthew S Forrest, Qing Lan, Alan E Hubbard, et al.
Lancet (London, England)|December 23, 2022
Machine learning-based marker for coronary artery disease: derivation and validation in two longitudinal cohortsIain S Forrest, Ben O Petrazzini, Áine Duffy, et al.
JACC. Advances|May 13, 2024
Muesli Intake May Protect Against Coronary Artery Disease: Mendelian Randomization on 13 Dietary TraitsJoshua K Park, Ben Omega Petrazzini, Shantanu Bafna, et al.
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