Publications by authors named "Ian Forgie"

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Bayesian network imputation methods applied to multi-omics data identify putative causal relationships in a type 2 diabetes dataset containing incomplete data: An IMI DIRECT Study.
Richard Howey, Jonathan Adam, Jerzy Adamski, Natalie N Atabaki, Søren Brunak, Ian M Forgie

PLoS Genet· July 2025

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The dynamics of the gut microbiota in prediabetes during a four-year follow-up among European patients-an IMI-DIRECT prospective study.
Liwei Lyu, Yong Fan, Josef Korbinian Vogt, Marc Clos-Garcia, Amelie Bonnefond, Ian Forgie

Genome Med· July 2025

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A Biological-Systems-Based Analyses Using Proteomic and Metabolic Network Inference Reveals Mechanistic Insights into Hepatic Lipid Accumulation: An IMI-DIRECT Study.
Natalie N Atabaki, Daniel E Coral, Hugo Pomares-Millan, Kieran Smith, Harry H Behjat, Ian M Forgie

medRxiv· June 2025

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Role of human plasma metabolites in prediabetes and type 2 diabetes from the IMI-DIRECT study.
Sapna Sharma, Qiuling Dong, Mark Haid, Jonathan Adam, Roberto Bizzotto, Ian M Forgie

Diabetologia· December 2024

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The Association of Cardiometabolic, Diet and Lifestyle Parameters With Plasma Glucagon-like Peptide-1: An IMI DIRECT Study.
Rebeca Eriksen, Margaret C White, Adem Y Dawed, Isabel Garcia Perez, Joram M Posma, Ian Forgie

J Clin Endocrinol Metab· August 2024

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Genetic analysis of blood molecular phenotypes reveals common properties in the regulatory networks affecting complex traits.
Andrew A Brown, Juan J Fernandez-Tajes, Mun-Gwan Hong, Caroline A Brorsson, Robert W Koivula, Ian M Forgie

Nat Commun· August 2023

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Author Correction: Discovery of drug-omics associations in type 2 diabetes with generative deep-learning models.
Rosa Lundbye Allesøe, Agnete Troen Lundgaard, Ricardo Hernández Medina, Alejandro Aguayo-Orozco, Joachim Johansen, Ian Forgie

Nat Biotechnol· July 2023

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Discovery of drug-omics associations in type 2 diabetes with generative deep-learning models.
Rosa Lundbye Allesøe, Agnete Troen Lundgaard, Ricardo Hernández Medina, Alejandro Aguayo-Orozco, Joachim Johansen, Ian Forgie

Nat Biotechnol· March 2023

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Pharmacogenomics of GLP-1 receptor agonists: a genome-wide analysis of observational data and large randomised controlled trials.
Adem Y Dawed, Andrea Mari, Andrew Brown, Timothy J McDonald, Lin Li, Ian Forgie

Lancet Diabetes Endocrinol· January 2023

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Four groups of type 2 diabetes contribute to the etiological and clinical heterogeneity in newly diagnosed individuals: An IMI DIRECT study.
Agata Wesolowska-Andersen, Caroline A Brorsson, Roberto Bizzotto, Andrea Mari, Andrea Tura, Ian Forgie

Cell Rep Med· January 2022

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Profiles of Glucose Metabolism in Different Prediabetes Phenotypes, Classified by Fasting Glycemia, 2-Hour OGTT, Glycated Hemoglobin, and 1-Hour OGTT: An IMI DIRECT Study.
Andrea Tura, Eleonora Grespan, Christian S Göbl, Robert W Koivula, Paul W Franks, Ian M Forgie

Diabetes· September 2021

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Processes Underlying Glycemic Deterioration in Type 2 Diabetes: An IMI DIRECT Study.
Roberto Bizzotto, Christopher Jennison, Angus G Jones, Azra Kurbasic, Andrea Tura, Ian M Forgie

Diabetes Care· February 2021

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Correction to: The role of physical activity in metabolic homeostasis before and after the onset of type 2 diabetes: an IMI DIRECT study.
Robert W Koivula, Naeimeh Atabaki-Pasdar, Giuseppe N Giordano, Tom White, Jerzy Adamski, Ian M Forgie

Diabetologia· January 2021

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Post-load glucose subgroups and associated metabolic traits in individuals with type 2 diabetes: An IMI-DIRECT study.
Morgan Obura, Joline W J Beulens, Roderick Slieker, Anitra D M Koopman, Trynke Hoekstra, Ian Forgie

PLoS One· January 2021

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Whole blood co-expression modules associate with metabolic traits and type 2 diabetes: an IMI-DIRECT study.
Valborg Gudmundsdottir, Helle Krogh Pedersen, Gianluca Mazzoni, Kristine H Allin, Anna Artati, Ian Forgie

Genome Med· December 2020

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Dietary metabolite profiling brings new insight into the relationship between nutrition and metabolic risk: An IMI DIRECT study.
Rebeca Eriksen, Isabel Garcia Perez, Joram M Posma, Mark Haid, Sapna Sharma, Ian Forgie

EBioMedicine· August 2020

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Predicting and elucidating the etiology of fatty liver disease: A machine learning modeling and validation study in the IMI DIRECT cohorts.
Naeimeh Atabaki-Pasdar, Mattias Ohlsson, Ana Viñuela, Francesca Frau, Hugo Pomares-Millan, Ian M Forgie

PLoS Med· June 2020

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The role of physical activity in metabolic homeostasis before and after the onset of type 2 diabetes: an IMI DIRECT study.
Robert W Koivula, Naeimeh Atabaki-Pasdar, Giuseppe N Giordano, Tom White, Jerzy Adamski, Ian M Forgie

Diabetologia· April 2020

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Discovery of biomarkers for glycaemic deterioration before and after the onset of type 2 diabetes: descriptive characteristics of the epidemiological studies within the IMI DIRECT Consortium.
Robert W Koivula, Ian M Forgie, Azra Kurbasic, Ana Viñuela, Alison Heggie

Diabetologia· September 2019

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Sharing data for future research-engaging participants' views about data governance beyond the original project: a DIRECT Study.
Nisha Shah, Victoria Coathup, Harriet Teare, Ian Forgie, Giuseppe Nicola Giordano

Genet Med· May 2019

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Motivations for data sharing-views of research participants from four European countries: A DIRECT study.
Nisha Shah, Victoria Coathup, Harriet Teare, Ian Forgie, Giuseppe Nicola Giordano

Eur J Hum Genet· May 2019

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The governance structure for data access in the DIRECT consortium: an innovative medicines initiative (IMI) project.
Harriet J A Teare, Federico de Masi, Karina Banasik, Anna Barnett, Sanna Herrgard, Ian Forgie

Life Sci Soc Policy· September 2018

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