Asset Details
Do you wish to reserve the book?
A population-based phenome-wide association study of cardiac and aortic structure and function
Hey, we have placed the reservation for you!
By the way, why not check out events that you can attend while you pick your title.
Oops! Something went wrong.
Looks like we were not able to place the reservation. Kindly try again later.
Are you sure you want to remove the book from the shelf?
A population-based phenome-wide association study of cardiac and aortic structure and function
Do you wish to request the book?
A population-based phenome-wide association study of cardiac and aortic structure and function
Please be aware that the book you have requested cannot be checked out. If you would like to checkout this book, you can reserve another copy
We have requested the book for you!
Your request is successful and it will be processed during the Library working hours. Please check the status of your request in My Requests.
Oops! Something went wrong.
Looks like we were not able to place your request. Kindly try again later.
Journal Article
A population-based phenome-wide association study of cardiac and aortic structure and function
2020
Overview
Differences in cardiac and aortic structure and function are associated with cardiovascular diseases and a wide range of other types of disease. Here we analyzed cardiovascular magnetic resonance images from a population-based study, the UK Biobank, using an automated machine-learning-based analysis pipeline. We report a comprehensive range of structural and functional phenotypes for the heart and aorta across 26,893 participants, and explore how these phenotypes vary according to sex, age and major cardiovascular risk factors. We extended this analysis with a phenome-wide association study, in which we tested for correlations of a wide range of non-imaging phenotypes of the participants with imaging phenotypes. We further explored the associations of imaging phenotypes with early-life factors, mental health and cognitive function using both observational analysis and Mendelian randomization. Our study illustrates how population-based cardiac and aortic imaging phenotypes can be used to better define cardiovascular disease risks as well as heart–brain health interactions, highlighting new opportunities for studying disease mechanisms and developing image-based biomarkers.
Using magnetic resonance images of the heart and aorta from 26,893 individuals in the UK Biobank, a phenome-wide association study associates cardiovascular imaging phenotypes with a wide range of demographic, lifestyle and clinical features.
Publisher
Nature Publishing Group US,Nature Publishing Group
Subject
/ Aorta
/ Biobanks
/ Biological Specimen Banks - statistics & numerical data
/ Biomedical and Life Sciences
/ Cardiovascular Diseases - diagnostic imaging
/ Cardiovascular Diseases - genetics
/ Cardiovascular Diseases - pathology
/ Cardiovascular Diseases - physiopathology
/ Disease
/ Female
/ Genetic Predisposition to Disease
/ Genome-Wide Association Study
/ Humans
/ Image Processing, Computer-Assisted - methods
/ Magnetic Resonance Imaging - statistics & numerical data
/ Male
/ Polymorphism, Single Nucleotide
/ Structure-Activity Relationship
