Viñuela A

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]

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]

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]

Post-load glucose subgroups and associated metabolic traits in individuals with type 2 diabetes: An IMI-DIRECT study.

Obura M, Beulens JWJ, Slieker R, ..., Rutters F, IMI-DIRECT Consortium

PLoS ONE 15 (11) e0242360 [2020-11-30; online 2020-11-30]

Predicting and elucidating the etiology of fatty liver disease using a machine learning-based approach: an IMI DIRECT study

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

- - (-) - [2020-02-11; online 2020-02-11]

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]

Genome-wide association analysis identifies six new loci associated with forced vital capacity.

Loth DW, Soler Artigas M, Gharib SA, ..., Tobin MD, London SJ

Nat. Genet. 46 (7) 669-677 [2014-07-00; online 2014-06-15]