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Nature Communications
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October 15, 2024
Expanding drug targets for 112 chronic diseases using a machine learning-assisted genetic priority score
Robert Chen, Áine Duffy, Ben O Petrazzini, et al.
Lancet (London, England)
|
December 23, 2022
Machine learning-based marker for coronary artery disease: derivation and validation in two longitudinal cohorts
Iain S Forrest, Ben O Petrazzini, Áine Duffy, et al.
JACC. Advances
|
May 13, 2024
Muesli Intake May Protect Against Coronary Artery Disease: Mendelian Randomization on 13 Dietary Traits
Joshua K Park, Ben Omega Petrazzini, Shantanu Bafna, et al.
Elife
|
March 29, 2023
Phenome-wide Mendelian randomization study of plasma triglyceride levels and 2600 disease traits
Joshua K Park, Shantanu Bafna, Iain S Forrest, et al.
Med (New York, N.Y.)
|
May 28, 2026
Capturing multi-disease states on a spectrum with machine learning and routine clinical data
Iain S Forrest, Ben O Petrazzini, Robert Chen, et al.
Nature Genetics
|
June 11, 2024
Exome sequence analysis identifies rare coding variants associated with a machine learning-based marker for coronary artery disease
Ben Omega Petrazzini, Iain S Forrest, Ghislain Rocheleau, et al.
Nature Genetics
|
January 3, 2024
Development of a human genetics-guided priority score for 19,365 genes and 399 drug indications
Áine Duffy, Ben Omega Petrazzini, David Stein, et al.
Nature Communications
|
January 23, 2021
An integrative multiomic network model links lipid metabolism to glucose regulation in coronary artery disease
Ariella T Cohain, William T Barrington, Daniel M Jordan, et al.
Genome Biology
|
January 27, 2021
Exploiting the GTEx resources to decipher the mechanisms at GWAS loci
Alvaro N Barbeira, Rodrigo Bonazzola, Eric R Gamazon, et al.
Cell
|
April 25, 2015
Widespread macromolecular interaction perturbations in human genetic disorders
Nidhi Sahni, Song Yi, Mikko Taipale, et al.
Page
of 5
Search research articles
Search
Showing results (31-40 of 42) with videos related to
Sort By:
Page
of 5
Nature Communications
|
October 15, 2024
Expanding drug targets for 112 chronic diseases using a machine learning-assisted genetic priority score
Robert Chen, Áine Duffy, Ben O Petrazzini, et al.
Lancet (London, England)
|
December 23, 2022
Machine learning-based marker for coronary artery disease: derivation and validation in two longitudinal cohorts
Iain S Forrest, Ben O Petrazzini, Áine Duffy, et al.
JACC. Advances
|
May 13, 2024
Muesli Intake May Protect Against Coronary Artery Disease: Mendelian Randomization on 13 Dietary Traits
Joshua K Park, Ben Omega Petrazzini, Shantanu Bafna, et al.
Elife
|
March 29, 2023
Phenome-wide Mendelian randomization study of plasma triglyceride levels and 2600 disease traits
Joshua K Park, Shantanu Bafna, Iain S Forrest, et al.
Med (New York, N.Y.)
|
May 28, 2026
Capturing multi-disease states on a spectrum with machine learning and routine clinical data
Iain S Forrest, Ben O Petrazzini, Robert Chen, et al.
Nature Genetics
|
June 11, 2024
Exome sequence analysis identifies rare coding variants associated with a machine learning-based marker for coronary artery disease
Ben Omega Petrazzini, Iain S Forrest, Ghislain Rocheleau, et al.
Nature Genetics
|
January 3, 2024
Development of a human genetics-guided priority score for 19,365 genes and 399 drug indications
Áine Duffy, Ben Omega Petrazzini, David Stein, et al.
Nature Communications
|
January 23, 2021
An integrative multiomic network model links lipid metabolism to glucose regulation in coronary artery disease
Ariella T Cohain, William T Barrington, Daniel M Jordan, et al.
Genome Biology
|
January 27, 2021
Exploiting the GTEx resources to decipher the mechanisms at GWAS loci
Alvaro N Barbeira, Rodrigo Bonazzola, Eric R Gamazon, et al.
Cell
|
April 25, 2015
Widespread macromolecular interaction perturbations in human genetic disorders
Nidhi Sahni, Song Yi, Mikko Taipale, et al.
Page
of 5