Hattersley AT

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 analysis of blood molecular phenotypes reveals common properties in the regulatory networks affecting complex traits.

Brown AA, Fernandez-Tajes JJ, Hong MG, ..., Dermitzakis ET, Viñuela A

Nat Commun 14 (1) 5062 [2023-08-21; online 2023-08-21]

Author Correction: Discovery of drug-omics associations in type 2 diabetes with generative deep-learning models.

Allesøe RL, Lundgaard AT, Hernández Medina R, ..., Brunak S, IMI DIRECT Consortium

Nat. Biotechnol. 41 (7) 1026 [2023-07-00; online 2023-05-03]

Author Correction: The power of genetic diversity in genome-wide association studies of lipids.

Graham SE, Clarke SL, Wu KH, ..., Sun YV, Willer CJ

Nature 618 (7965) E19-E20 [2023-06-00; online 2023-05-27]

Discovery of drug-omics associations in type 2 diabetes with generative deep-learning models.

Allesøe RL, Lundgaard AT, Hernández Medina R, ..., Brunak S, IMI DIRECT Consortium

Nat. Biotechnol. 41 (3) 399-408 [2023-03-00; online 2023-01-02]

Implicating genes, pleiotropy and sexual dimorphism at blood lipid loci through multi-ancestry meta-analysis

Kanoni S, Graham SE, Wang Y, ..., Assimes TL, Peloso GM

- - (-) - [2021-12-16; online 2021-12-16]

A multi-layer functional genomic analysis to understand noncoding genetic variation in lipids

Ramdas S, Judd J, Graham SE, ..., Zhu X, Brown CD

- - (-) - [2021-12-08; online 2021-12-08]

The power of genetic diversity in genome-wide association studies of lipids.

Graham SE, Clarke SL, Wu KH, ..., Sun YV, Willer CJ

Nature 600 (7890) 675-679 [2021-12-00; online 2021-12-09]

Processes Underlying Glycemic Deterioration in Type 2 Diabetes: An IMI DIRECT Study.

Bizzotto R, Jennison C, Jones AG, ..., Mari A, IMI DIRECT consortium

Diabetes Care 44 (2) 511-518 [2021-02-00; online 2020-12-15]

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]