Cargando…
Machine learning integration of multimodal data identifies key features of blood pressure regulation
BACKGROUND: Association studies have identified several biomarkers for blood pressure and hypertension, but a thorough understanding of their mutual dependencies is lacking. By integrating two different high-throughput datasets, biochemical and dietary data, we aim to understand the multifactorial c...
Autores principales: | Louca, Panayiotis, Tran, Tran Quoc Bao, Toit, Clea du, Christofidou, Paraskevi, Spector, Tim D., Mangino, Massimo, Suhre, Karsten, Padmanabhan, Sandosh, Menni, Cristina |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9463529/ https://www.ncbi.nlm.nih.gov/pubmed/36084617 http://dx.doi.org/10.1016/j.ebiom.2022.104243 |
Ejemplares similares
-
Incremental Value of a Panel of Serum Metabolites for Predicting Risk of Atherosclerotic Cardiovascular Disease
por: Nogal, Ana, et al.
Publicado: (2022) -
Dietary Influence on Systolic and Diastolic Blood Pressure in the TwinsUK Cohort
por: Louca, Panayiotis, et al.
Publicado: (2020) -
Establishing plausibility of cardiovascular adverse effects of immunotherapies using Mendelian randomisation
por: Le, Nhu Ngoc, et al.
Publicado: (2023) -
Metabolomic profiling identifies novel associations with Electrolyte and Acid-Base Homeostatic patterns
por: Menni, Cristina, et al.
Publicado: (2019) -
Metabolome Genome-Wide Association Study Identifies 74 Novel Genomic Regions Influencing Plasma Metabolites Levels
por: Hysi, Pirro G., et al.
Publicado: (2022)