Results 171 to 180 of about 283,327 (339)

Multi-ethnic GWAS and fine-mapping of glycaemic traits identify novel loci in the PAGE Study

open access: gold, 2022
C.G. Downie   +30 more
openalex   +1 more source

Single-cell deconvolution of 3,000 post-mortem brain samples for eQTL and GWAS dissection in mental disorders [PDF]

open access: green, 2021
Yongjin Park   +9 more
openalex   +1 more source

Integrated trajectories of systolic and diastolic function differentially associate with risk for heart failure with preserved and reduced ejection fraction and proteomic profiles

open access: yesEuropean Journal of Heart Failure, EarlyView.
Graphical overview of derivation and testing of multiparametric trajectories of cardiac function. This study identified six trajectories of LV systolic and diastolic function from mid‐ to late‐life. Predicted trajectory from single echocardiogram identified four trajectories at differential risk for HFpEF and HFrEF.
Anne Marie Reimer Jensen   +8 more
wiley   +1 more source

Genetic Overlap Between Obstructive Sleep Apnea and Ischemic Stroke: A Large-Scale Genome-Wide Cross-Trait Analysis

open access: yesNature and Science of Sleep
Wanqing Lin,1,2,* Zhiyi Zhang,3,* Chenlin Wang,4 Yingling Ye,4 Lingrong Zheng,4 Qianqian Hu,4 Renyu Yu,1 Mingxia Wu,4,5 Bin Chen1 1Department of Rehabilitation Medicine and National Clinical Research Base of Traditional Chinese Medicine, The ...
Lin W   +8 more
doaj  

Susceptible genes and disease mechanisms identified in frontotemporal dementia and frontotemporal dementia with Amyotrophic Lateral Sclerosis by DNA-methylation and GWAS [PDF]

open access: gold, 2017
Erdogan Taskesen   +99 more
openalex   +1 more source

Deep phenotyping of heart failure with preserved ejection fraction through multi‐omics integration

open access: yesEuropean Journal of Heart Failure, EarlyView.
Deep phenotyping of of heart failure with preserved ejection fraction (HFpEF) through multi‐omics integration. AI, artificial intelligence. Aims Heart failure with preserved ejection fraction (HFpEF) has become the predominant form of heart failure and a leading cause of global cardiovascular morbidity and mortality.
Jakob Versnjak   +15 more
wiley   +1 more source

Unsupervised machine learning for cardiovascular disease: A framework for future studies

open access: yesEuropean Journal of Heart Failure, EarlyView.
Unsupervised machine learning can improve the characterization and stratification of patients with cardiovascular diseases (CVDs). Clustering algorithms, which group patients based on patterns in clinical data, can reveal distinct subgroups that may differ in prognosis and treatment response.
Emmanuel Bresso   +7 more
wiley   +1 more source

Additional file 2 of An RTM-GWAS procedure reveals the QTL alleles and candidate genes for three yield-related traits in upland cotton

open access: gold, 2020
Junji Su   +8 more
openalex   +1 more source

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