Results 41 to 50 of about 3,687 (173)
Abstract Epilepsy affects more than 50 million individuals globally and has a substantial genetic component that remains to be completely understood. Traditional studies have focused on severe, early onset cases enrolled through clinical or research settings.
Jessica Castrillon Lal +5 more
wiley +1 more source
ABSTRACT There is a need for genetic analytical methods that integrate multi‐individual identity‐by‐descent (IBD) tools with phenotypic enrichment testing to discover novel shared haplotypes contributing to disease traits. Existing tools are designed to identify IBD sharing and leave interpretation and phenotype association tests to further analyses ...
James T. Baker +8 more
wiley +1 more source
Mendelian randomization (MR) is an established approach to evaluate the effect of an exposure on an outcome. The gene-by-environment (GxE) study design can be used to determine whether the genetic instrument affects the outcome through pathways other ...
Louise A C Millard +4 more
doaj +1 more source
Endothelial GPR68 is identified as a critical regulator of collateral artery growth in peripheral artery disease. Genetic and pharmacological evidence demonstrates that GPR68 integrates hemodynamic cues to drive monocyte recruitment and inflammatory remodeling, thereby promoting collateral arteriogenesis and tissue perfusion after ischemia ...
Yiyan Song +12 more
wiley +1 more source
EA-PheWAS: Integrating Phenotype Embeddings with PheWAS for Enhanced Gene-Phenotype Discovery
Phenome-wide association studies (PheWAS) enable systematic exploration of relationships between genetic variants and clinical phenotypes derived from electronic health records (EHRs). Conventional regression-based PheWAS treats phenotypes separately and relies on binary phenotype representations, which limits statistical power for rare variants and ...
Wangjie Zheng +6 more
openaire +1 more source
Phenome-wide association studies as a research tool for identifying new pathogenetic links
The accumulation of biospecimens associated with large-scale clinical data (data from electronic medical records, epidemiological and other large-scale studies) has made it possible to conduct studies aimed at studying associations between genetic ...
N. A. Mashkina +3 more
doaj +1 more source
Summary: Magnesium is integral to many physiological processes, whereas variations in its levels, even within the normal range, can have critical implications for health.
Longman Li +12 more
doaj +1 more source
Phenome‐ and Genome‐Wide Insights Into Dietary Patterns: Health Consequences and Genetic Basis
Three new dietary patterns were derived from quadratically regularized‐principal components analysis. These patterns showed strong associations with a wide range of diseases and genetic factors. ABSTRACT Dietary patterns (DPs) integrate complex eating behaviors and provide stronger insights into health than analyses of single nutrients.
Shuxiao Shi +13 more
wiley +1 more source
MendelR: A One‐Stop R Toolkit for Mendelian Randomization Analysis
ABSTRACT MendelR is a fully automated R package specifically developed for Mendelian randomization (MR) studies, designed to address the technical challenges of causal inference in biomedical research. As a powerful causal inference method, Mendelian randomization can effectively reduce confounding bias in observational studies.
Xiaohong Ke +4 more
wiley +1 more source
How data science and AI-based technologies impact genomics
Advancements in high-throughput sequencing have yielded vast amounts of genomic data, which are studied using genome-wide association study (GWAS)/phenome-wide association study (PheWAS) methods to identify associations between the genotype and phenotype.
Jing Lin, Kee Yuan Ngiam
doaj +1 more source

