McCarthy MI

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.

Howey R, Adam J, Adamski J, ..., Viñuela A, Cordell HJ

PLoS Genet 21 (7) e1011776 [2025-07-00; online 2025-07-15]

A Biological-Systems-Based Analyses Using Proteomic and Metabolic Network Inference Reveals Mechanistic Insights into Hepatic Lipid Accumulation: An IMI-DIRECT Study.

Atabaki NN, Coral DE, Pomares-Millan H, ..., Viñuela A, Franks PW

medRxiv - (-) - [2025-06-02; online 2025-06-02]

Genetic drivers of heterogeneity in type 2 diabetes pathophysiology.

Suzuki K, Hatzikotoulas K, Southam L, ..., Morris AP, Zeggini E

Nature 627 (8003) 347-357 [2024-03-00; online 2024-02-19]

GWAS of random glucose in 476,326 individuals provide insights into diabetes pathophysiology, complications and treatment stratification.

Lagou V, Jiang L, Ulrich A, ..., Prokopenko I, Meta-Analysis of Glucose and Insulin-Related Traits Consortium (MAGIC)

Nat. Genet. 55 (9) 1448-1461 [2023-09-00; online 2023-09-07]

Genome-Wide Association Study of Peripheral Artery Disease.

van Zuydam NR, Stiby A, Abdalla M, ..., Kullo IJ, GoLEAD Consortium, SUMMIT Consortium†

Circ Genom Precis Med 14 (5) e002862 [2021-10-00; online 2021-10-04]

Genetic analysis of blood molecular phenotypes reveals regulatory networks affecting complex traits: a DIRECT study

Viñuela A, Brown AA, Fernandez J, ..., Pearson ER, Dermitzakis ET

- - (-) - [2021-03-29; online 2021-03-29]

Genetics meets proteomics: perspectives for large population-based studies.

Suhre K, McCarthy MI, Schwenk JM

Nat. Rev. Genet. 22 (1) 19-37 [2021-01-00; online 2020-08-28]

Trans-ancestry genetic study of type 2 diabetes highlights the power of diverse populations for discovery and translation

Mahajan A, Spracklen CN, Zhang W, ..., McCarthy MI, Morris AP

- - (-) - [2020-09-23; online 2020-09-23]

Predicting and elucidating the etiology of fatty liver disease: A machine learning modeling and validation study in the IMI DIRECT cohorts.

Atabaki-Pasdar N, Ohlsson M, Viñuela A, ..., Pavo I, Franks PW

PLoS Med. 17 (6) e1003149 [2020-06-00; online 2020-06-19]

Homogeneity in the association of body mass index with type 2 diabetes across the UK Biobank: A Mendelian randomization study.

Wainberg M, Mahajan A, Kundaje A, ..., Sinnott-Armstrong N, Rivas MA

PLoS Med. 16 (12) e1002982 [2019-12-00; online 2019-12-10]

Protein-coding variants implicate novel genes related to lipid homeostasis contributing to body-fat distribution.

Justice AE, Karaderi T, Highland HM, ..., T2D-Genes Consortium , MAGIC Investigators

Nat. Genet. 51 (3) 452-469 [2019-03-00; online 2019-02-18]

Fine-mapping type 2 diabetes loci to single-variant resolution using high-density imputation and islet-specific epigenome maps.

Mahajan A, Taliun D, Thurner M, ..., Boehnke M, McCarthy MI

Nat. Genet. 50 (11) 1505-1513 [2018-11-00; online 2018-10-08]

Discovery of biomarkers for glycaemic deterioration before and after the onset of type 2 diabetes: an overview of the data from the epidemiological studies within the IMI DIRECT Consortium

Koivula RW, Forgie IM, Kurbasic A, ..., Pearson E, Franks PW

- - (-) - [2018-04-16; online 2018-04-16]

Refining the accuracy of validated target identification through coding variant fine-mapping in type 2 diabetes.

Mahajan A, Wessel J, Willems SM, ..., Rotter JI, McCarthy MI

Nat. Genet. 50 (4) 559-571 [2018-04-00; online 2018-04-09]

Fine-mapping of an expanded set of type 2 diabetes loci to single-variant resolution using high-density imputation and islet-specific epigenome maps

Mahajan A, Taliun D, Thurner M, ..., Boehnke M, McCarthy MI

- - (-) - [2018-01-09; online 2018-01-09]

Impact of common genetic determinants of Hemoglobin A1c on type 2 diabetes risk and diagnosis in ancestrally diverse populations: A transethnic genome-wide meta-analysis.

Wheeler E, Leong A, Liu CT, ..., Barroso I, Meigs JB

PLoS Med. 14 (9) e1002383 [2017-09-00; online 2017-09-12]

Refining the accuracy of validated target identification through coding variant fine-mapping in type 2 diabetes

Mahajan A, Wessel J, Willems SM, ..., Rotter JI, McCarthy MI

- - (-) - [2017-05-31; online 2017-05-31]