Results 141 to 150 of about 197,703 (204)
A deep learning phenome wide association study of the electrocardiogram
Abstract Aims Deep learning methods have shown impressive performance in detecting a range of diseases from electrocardiogram (ECG) waveforms, but the breadth of diseases that can be detected with high accuracy remains unknown, and in many cases the changes to the ECG allowing these classifications ...
John Weston Hughes +14 more
openaire +1 more source
Background: At present, there are still limitations and challenges in the treatment of hyperuricemia (HUA). Mendelian randomization (MR) has been widely used to identify new therapeutic targets.
Na Chen +6 more
doaj +1 more source
BackgroundPrevious studies have explored the role of plasma proteins on osteonecrosis. This Mendelian randomization (MR) study further assessed plasma proteins on osteonecrosis whether a causal relationship exists and provides some evidence of causality ...
Chen Meng +12 more
doaj +1 more source
Phenome-wide association study (PheWAS) in EMR-linked pediatric cohorts
Objective: We report the first pediatric specific Phenome-Wide Association Study (PheWAS) using electronic medical records (EMRs). Given the early success of PheWAS in adult populations, we investigated the feasibility of this approach in pediatric cohorts.Method: Data on 5049 samples of European ancestry were obtained from the Electronic Medical ...
Bahram eNamjou +23 more
openaire +1 more source
Phenome-wide association study of population-differentiating genetic variants around gene ACSL1
Abstract Background and objectives Demographic dynamics and natural selection during human evolution shaped the present-day patterns of genetic variations, and geographically varying genetic factors contribute to different disease prevalences across human populations.
Shuang Yang, Houjian Cai, Kaixiong Ye
openaire +2 more sources
Health Implications Associated with Fat-Free Mass: A Phenome-Wide Mendelian Randomization Study
Introduction: Fat-free mass (FFM) is a critical component of the human body, with implications for various diseases. Methods: We conducted a comprehensive analysis integrating a phenome-wide association study (PheWAS), a two-sample Mendelian randomization (MR) analysis, and a systematic review to investigate the associations between FFM and health ...
Yuchen Ying +7 more
openaire +3 more sources
Depression is associated with increased risk for a variety of medical conditions. However, the extent to which these associations reflect a causal impact of depression on medical conditions, or vice-versa, remains unresolved.
Yu Fang +4 more
doaj +1 more source
Central serous chorioretinopathy (CSC) is a major cause of vision loss, especially in middle-aged men, and its chronic subtype can lead to legal blindness. Despite its clinical importance, the underlying mechanisms of CSC need further clarification.
Yuki Mori +30 more
doaj +1 more source
Background The progression of type 2 diabetes (T2D) is driven by pancreatic β-cell dysfunction and loss, yet current therapies fail to address this core pathophysiology. Methods We implemented an integrative pipeline combining genetic and functional data
Ming Yi +5 more
doaj +1 more source
Using Biomedical Technologies to Inform Economic Modeling: Challenges and Opportunities for Improving Analysis of Environmental Policies [PDF]
Advances in biomedical technology have irrevocably jarred open the black box of human decision making, offering social scientists the potential to validate, reject, refine and redefine the individual models of resource allocation that form the foundation
Haab, Timothy C., Roe, Brian E.
core +1 more source

