Multifactorial study to identify novel genetic and non-genetic factors implicated in type 2 diabetes through exome sequencing and artificial intelligence.
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INSTITUTO SALUD CARLOS III
INSTITUTO SALUD CARLOS III
Resultados del Ensayo Clínico
A machine learning approach for type 2 diabetes diagnosis and prognosis using tailored heterogeneous feature subsets
Article. 10.1007/s11517-025-03355-5. 2025
A Very Rare Variant in SREBF2, a Possible Cause of Hypercholesterolemia and Increased Glycemic Levels.
Garcia-Garcia, AB; (...); Chaves, FJ
Article. 10.3390/biomedicines10051178. 2022
Developing a simple and practical decision model to predict the risk of incident type 2 diabetes among the general population: The Di@bet.es Study.
Martinez-Hervas, Sergio; (...); Chaves, F Javier
Article. 10.1016/j.ejim.2022.05.005. 2022
Exploring the genetic interplay: oxidative stress and body mass index in the Spanish population
Meeting Abstract. 2024
Gene-environment interaction analysis of redox-related metals and genetic variants with plasma metabolic patterns in a general population from Spain: The Hortega Study.
Galvez-Fernandez, M; (...); Monleon, D
Article. 10.1016/j.redox.2022.102314. 2022
Genetic interaction between oxidative stress and body mass index in a Spanish population
Article. 10.1016/j.redox.2025.103531. 2025
Genetic interaction in the association between oxidative stress and diabetes in the Spanish population
Melero, Rebeca; (...); Garcia-Garcia, Ana-Barbara
Article. 10.1016/j.freeradbiomed.2023.05.030. 2023
High miR-126-3p levels associated with cardiovascular events in a general population
Martinez-Arroyo, Olga; (...); Cortes, Raquel
Article. 10.1016/j.ejim.2023.04.013. 2023
One-step library preparation for next generation sequencing
Garcia-Sorribes, S; (...); Ivorra, C
Meeting Abstract. 2024
Unveiling Methylation Patterns: a novel workflow to identify and visualize differentiallymethylated regions and individual cytosines
Meeting Abstract. 2024