Results 51 to 60 of about 35,658 (190)

DeepPheWAS: an R package for phenotype generation and association analysis for phenome-wide association studies

open access: yesBioinformatics, 2023
Abstract Summary DeepPheWAS is an R package for phenome-wide association studies that creates clinically curated composite phenotypes and integrates quantitative phenotypes from primary care data, longitudinal trajectories of quantitative measures, disease progression and drug response ...
Richard J Packer   +15 more
openaire   +3 more sources

Phenome-Wide Association Study of Actigraphy in the UK Biobank [PDF]

open access: yes, 2021
AbstractWrist-worn accelerometer actigraphy devices present the opportunity for large-scale data collection from people during their daily lives. Using data from approximately 100,000 participants in the UK Biobank, actigraphy-derived measures of physical activity, sleep, and diurnal rhythms were associated in exploration and validation cohorts with a ...
Thomas G. Brooks   +5 more
openaire   +1 more source

THE TREND TOWARDS PHENOME-WIDE ASSOCIATION STUDIES (PheWASs) IN COVID-19 RESEARCH [PDF]

open access: yesSOUTHERN JOURNAL OF SCIENCES, 2022
Background: Coronavirus Disease-2019 (COVID-19) appears in individuals asymptomatically and in various symptomatic forms. Symptomatic diversity can result in diagnosis failures, hospitalization, admission to intensive care, multi-organ failure, and death. The causes and risk factors of the severity of disease symptoms are uncertain.
Atçeken, Nazente   +3 more
openaire   +1 more source

Transcriptional Regulation: a Genomic Overview [PDF]

open access: yes, 2002
The availability of the Arabidopsis thaliana genome sequence allows a comprehensive analysis of transcriptional regulation in plants using novel genomic approaches and methodologies. Such a genomic view of transcription first necessitates the compilation
Riechmann, José Luis
core   +2 more sources

The epigenetic clock is correlated with physical and cognitive fitness in the Lothian Birth Cohort 1936 [PDF]

open access: yes, 2015
Background: The DNA methylation-based 'epigenetic clock' correlates strongly with chronological age, but it is currently unclear what drives individual differences. We examine cross-sectional and longitudinal associations between the epigenetic clock and
Corley, Janie   +17 more
core   +1 more source

Abdominal CT metrics in 17,646 patients reveal associations between myopenia, myosteatosis, and medical phenotypes: a phenome-wide association study. [PDF]

open access: yesEBioMedicine
Zambrano Chaves JM   +8 more
europepmc   +2 more sources

Genomic catastrophes frequently arise in esophageal adenocarcinoma and drive tumorigenesis [PDF]

open access: yes, 2014
Oesophageal adenocarcinoma (EAC) incidence is rapidly increasing in Western countries. A better understanding of EAC underpins efforts to improve early detection and treatment outcomes.
Anderson, M   +43 more
core   +4 more sources

Application of clinical text data for phenome-wide association studies (PheWASs) [PDF]

open access: yesBioinformatics, 2015
Abstract Motivation: Genome-wide association studies (GWASs) are effective for describing genetic complexities of common diseases. Phenome-wide association studies (PheWASs) offer an alternative and complementary approach to GWAS using data embedded in the electronic health record (EHR) to define the phenome. International Classification
Scott J, Hebbring   +5 more
openaire   +2 more sources

Forced Running Endurance Is Influenced by Gene(s) on Mouse Chromosome 10 [PDF]

open access: yes, 2017
Acknowledgments The authors wish to acknowledge technical assistance from Mrs. Indrė Libnickienė and intellectual input from Dr. David A. Blizard. This research was funded by the European Social Fund under the Global Grant measure. Grant VP1-3.1-ŠMM-07-K-
Fokin, Andrej   +5 more
core   +1 more source

Odyssey: a semi-automated pipeline for phasing, imputation, and analysis of genome-wide genetic data [PDF]

open access: yes, 2019
BACKGROUND: Genome imputation, admixture resolution and genome-wide association analyses are timely and computationally intensive processes with many composite and requisite steps.
Eller, Ryan J.   +2 more
core   +1 more source

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