Detalhe da pesquisa
1.
Exome sequencing and characterization of 49,960 individuals in the UK Biobank.
Nature
; 586(7831): 749-756, 2020 10.
Artigo
em Inglês
| MEDLINE | ID: mdl-33087929
2.
Exome sequencing of 20,791 cases of type 2 diabetes and 24,440 controls.
Nature
; 570(7759): 71-76, 2019 06.
Artigo
em Inglês
| MEDLINE | ID: mdl-31118516
3.
Pan-ancestry exome-wide association analyses of COVID-19 outcomes in 586,157 individuals.
Am J Hum Genet
; 108(7): 1350-1355, 2021 07 01.
Artigo
em Inglês
| MEDLINE | ID: mdl-34115965
4.
rECHOmmend: An ECG-Based Machine Learning Approach for Identifying Patients at Increased Risk of Undiagnosed Structural Heart Disease Detectable by Echocardiography.
Circulation
; 146(1): 36-47, 2022 07 05.
Artigo
em Inglês
| MEDLINE | ID: mdl-35533093
5.
An ECG-based machine learning model for predicting new-onset atrial fibrillation is superior to age and clinical features in identifying patients at high stroke risk.
J Electrocardiol
; 76: 61-65, 2023.
Artigo
em Inglês
| MEDLINE | ID: mdl-36436476
6.
Deep Neural Networks Can Predict New-Onset Atrial Fibrillation From the 12-Lead ECG and Help Identify Those at Risk of Atrial Fibrillation-Related Stroke.
Circulation
; 143(13): 1287-1298, 2021 03 30.
Artigo
em Inglês
| MEDLINE | ID: mdl-33588584
7.
Leveraging population-based exome screening to impact clinical care: The evolution of variant assessment in the Geisinger MyCode research project.
Am J Med Genet C Semin Med Genet
; 187(1): 83-94, 2021 03.
Artigo
em Inglês
| MEDLINE | ID: mdl-33576083
8.
Profiling and Leveraging Relatedness in a Precision Medicine Cohort of 92,455 Exomes.
Am J Hum Genet
; 102(5): 874-889, 2018 05 03.
Artigo
em Inglês
| MEDLINE | ID: mdl-29727688
9.
Routinely reported ejection fraction and mortality in clinical practice: where does the nadir of risk lie?
Eur Heart J
; 41(12): 1249-1257, 2020 03 21.
Artigo
em Inglês
| MEDLINE | ID: mdl-31386109
10.
Genomics-First Evaluation of Heart Disease Associated With Titin-Truncating Variants.
Circulation
; 140(1): 42-54, 2019 07 02.
Artigo
em Inglês
| MEDLINE | ID: mdl-31216868
11.
Genetic and Pharmacologic Inactivation of ANGPTL3 and Cardiovascular Disease.
N Engl J Med
; 377(3): 211-221, 2017 07 20.
Artigo
em Inglês
| MEDLINE | ID: mdl-28538136
12.
Inactivating Variants in ANGPTL4 and Risk of Coronary Artery Disease.
N Engl J Med
; 374(12): 1123-33, 2016 Mar 24.
Artigo
em Inglês
| MEDLINE | ID: mdl-26933753
13.
Protein-Truncating Variants at the Cholesteryl Ester Transfer Protein Gene and Risk for Coronary Heart Disease.
Circ Res
; 121(1): 81-88, 2017 Jun 23.
Artigo
em Inglês
| MEDLINE | ID: mdl-28506971
14.
First Trimester Plasma Glucose Values in Women without Diabetes are Associated with Risk for Congenital Heart Disease in Offspring.
J Pediatr
; 195: 275-278, 2018 04.
Artigo
em Inglês
| MEDLINE | ID: mdl-29254757
15.
Electronic health record phenotype in subjects with genetic variants associated with arrhythmogenic right ventricular cardiomyopathy: a study of 30,716 subjects with exome sequencing.
Genet Med
; 19(11): 1245-1252, 2017 11.
Artigo
em Inglês
| MEDLINE | ID: mdl-28471438
16.
Association of Rare and Common Variation in the Lipoprotein Lipase Gene With Coronary Artery Disease.
JAMA
; 317(9): 937-946, 2017 03 07.
Artigo
em Inglês
| MEDLINE | ID: mdl-28267856
17.
Genome-wide analysis provides genetic evidence that ACE2 influences COVID-19 risk and yields risk scores associated with severe disease.
Nat Genet
; 54(4): 382-392, 2022 04.
Artigo
em Inglês
| MEDLINE | ID: mdl-35241825
18.
Deep-learning-assisted analysis of echocardiographic videos improves predictions of all-cause mortality.
Nat Biomed Eng
; 5(6): 546-554, 2021 06.
Artigo
em Inglês
| MEDLINE | ID: mdl-33558735
19.
Electronic health record analysis identifies kidney disease as the leading risk factor for hospitalization in confirmed COVID-19 patients.
PLoS One
; 15(11): e0242182, 2020.
Artigo
em Inglês
| MEDLINE | ID: mdl-33180868
20.
Prediction of mortality from 12-lead electrocardiogram voltage data using a deep neural network.
Nat Med
; 26(6): 886-891, 2020 06.
Artigo
em Inglês
| MEDLINE | ID: mdl-32393799