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Nicolas Perrot

Showing results (11-20 of 35) with videos related to

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Kidney International Reports|July 11, 2022
ACLY and CKD: A Mendelian Randomization AnalysisPedrum Mohammadi-Shemirani, Michael Chong, Nicolas Perrot, et al.
Circulation. Genomic and Precision Medicine|October 21, 2021
Polygenic Risk Score for Coronary Artery Disease Improves the Prediction of Early-Onset Myocardial Infarction and Mortality in MenHasanga D Manikpurage, Aida Eslami, Nicolas Perrot, et al.
Atherosclerosis|December 22, 2016
Ideal cardiovascular health influences cardiovascular disease risk associated with high lipoprotein(a) levels and genotype: The EPIC-Norfolk prospective population studyNicolas Perrot, Rutger Verbeek, Manjinder Sandhu, et al.
Nutrients|December 28, 2021
Blood Levels of the <i>SMOC1</i> Hepatokine Are Not Causally Linked with Type 2 Diabetes: A Bidirectional Mendelian Randomization StudyNooshin Ghodsian, Eloi Gagnon, Jérôme Bourgault, et al.
Journal of the American Society of Nephrology : JASN|June 10, 2024
Kidney Volume and Risk of Incident Kidney OutcomesJianhan Wu, Yifan Wang, Caitlyn Vlasschaert, et al.
Journal of Biomedical Semantics|February 1, 2017
Developing a knowledge base to support the annotation of ultrasound images of ectopic pregnancyFerdinand Dhombres, Paul Maurice, Stéphanie Friszer, et al.
Aging Cell|October 27, 2021
A trans-omic Mendelian randomization study of parental lifespan uncovers novel aging biology and therapeutic candidates for chronic diseasesNicolas Perrot, William Pelletier, Jérôme Bourgault, et al.
Journal of the American College of Cardiology|April 22, 2022
Elevated Lipoprotein(a) and Risk of Atrial Fibrillation: An Observational and Mendelian Randomization StudyPedrum Mohammadi-Shemirani, Michael Chong, Sukrit Narula, et al.
JAMA Network Open|July 27, 2023
Biomarkers Associated With Severe COVID-19 Among Populations With High Cardiometabolic Risk: A 2-Sample Mendelian Randomization StudyTushar Sood, Nicolas Perrot, Michael Chong, et al.
Nature Communications|August 25, 2023
A versatile, fast and unbiased method for estimation of gene-by-environment interaction effects on biobank-scale datasetsMatteo Di Scipio, Mohammad Khan, Shihong Mao, et al.
Pageof 4

Showing results (11-20 of 35) with videos related to

Sort By:
Pageof 4
Kidney International Reports|July 11, 2022
ACLY and CKD: A Mendelian Randomization AnalysisPedrum Mohammadi-Shemirani, Michael Chong, Nicolas Perrot, et al.
Circulation. Genomic and Precision Medicine|October 21, 2021
Polygenic Risk Score for Coronary Artery Disease Improves the Prediction of Early-Onset Myocardial Infarction and Mortality in MenHasanga D Manikpurage, Aida Eslami, Nicolas Perrot, et al.
Atherosclerosis|December 22, 2016
Ideal cardiovascular health influences cardiovascular disease risk associated with high lipoprotein(a) levels and genotype: The EPIC-Norfolk prospective population studyNicolas Perrot, Rutger Verbeek, Manjinder Sandhu, et al.
Nutrients|December 28, 2021
Blood Levels of the <i>SMOC1</i> Hepatokine Are Not Causally Linked with Type 2 Diabetes: A Bidirectional Mendelian Randomization StudyNooshin Ghodsian, Eloi Gagnon, Jérôme Bourgault, et al.
Journal of the American Society of Nephrology : JASN|June 10, 2024
Kidney Volume and Risk of Incident Kidney OutcomesJianhan Wu, Yifan Wang, Caitlyn Vlasschaert, et al.
Journal of Biomedical Semantics|February 1, 2017
Developing a knowledge base to support the annotation of ultrasound images of ectopic pregnancyFerdinand Dhombres, Paul Maurice, Stéphanie Friszer, et al.
Aging Cell|October 27, 2021
A trans-omic Mendelian randomization study of parental lifespan uncovers novel aging biology and therapeutic candidates for chronic diseasesNicolas Perrot, William Pelletier, Jérôme Bourgault, et al.
Journal of the American College of Cardiology|April 22, 2022
Elevated Lipoprotein(a) and Risk of Atrial Fibrillation: An Observational and Mendelian Randomization StudyPedrum Mohammadi-Shemirani, Michael Chong, Sukrit Narula, et al.
JAMA Network Open|July 27, 2023
Biomarkers Associated With Severe COVID-19 Among Populations With High Cardiometabolic Risk: A 2-Sample Mendelian Randomization StudyTushar Sood, Nicolas Perrot, Michael Chong, et al.
Nature Communications|August 25, 2023
A versatile, fast and unbiased method for estimation of gene-by-environment interaction effects on biobank-scale datasetsMatteo Di Scipio, Mohammad Khan, Shihong Mao, et al.
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