Establishing the relationship between protein-coding genes and phenotypes has the potential to inform on the molecular etiology of diseases. Here, we describe ExPheWas (exphewas.ca), a gene-based phenome-wide association study browser and platform that enables the conduct of gene-based Mendelian randomization. The ExPheWas data repository includes sex-stratified and sex-combined gene-based association results from 26 616 genes with 1746 phenotypes measured in up to 413 133 individuals from the UK Biobank. Interactive visualizations are provided through a browser to facilitate data exploration supported by false discovery rate control, and it includes tools for enrichment analysis. The interactive Mendelian randomization module in ExPheWas allows the estimation of causal effects of a genetically predicted exposure on an outcome by using genetic variation in a single gene as the instrumental variable.
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http://dx.doi.org/10.1093/nar/gkac289 | DOI Listing |
Proc Natl Acad Sci U S A
January 2025
Department of Neurology and National Center for Neurological Disorders, Huashan Hospital, Fudan University, Shanghai 200040, China.
Socioeconomic status (SES) is a critical factor in determining health outcomes and is influenced by genetic and environmental factors. However, our understanding of the genetic structure of SES remains incomplete. Here, we conducted a large-scale exome study of SES markers (household income, occupational status, educational attainment, and social deprivation) in 350,770 individuals.
View Article and Find Full Text PDFNutrients
December 2024
Department of Food & Nutrition & Research Institute of Obesity Sciences, Sungshin Women's University, Dobongro-76gagil-55, Kangbuk-ku, Seoul 01133, Republic of Korea.
Unlabelled: This study investigated how the gene variation related to RMR alteration affects risk factors of obese environments in children with obesity aged 8-9.
Methods: Over a three-year follow-up period, 63.3% of original students participated.
Int J Mol Sci
December 2024
Department of Toxicology, School of Public Health, Suzhou Medicine College of Soochow University, Suzhou 215123, China.
Lung cancer remains the leading cause of cancer-related mortality globally, with a poor prognosis primarily due to late diagnosis and limited treatment options. This research highlights the critical demand for advanced prognostic tools by creating a model centered on aging-related genes (ARGs) to improve prediction and treatment strategies for lung adenocarcinoma (LUAD). By leveraging datasets from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO), we developed a prognostic model that integrates 14 ARGs using the least absolute shrinkage and selection operator (LASSO) alongside Cox regression analyses.
View Article and Find Full Text PDFCommun Integr Biol
December 2024
Department of Life Sciences, College of Sciences, Al Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, Saudi Arabia.
Using -rhizobia- interaction networks, we address first the soil invasion success of , and second, we report either -rhizobia partnership should form an isolated module within the symbiosis interaction network. Different indexes were used to determine model invasion success and the network topology. Our results indicated that invasion decreased soil microbial biomass, basal respiration, and enzymatic activities.
View Article and Find Full Text PDFIn studies of individuals of primarily European genetic ancestry, common and low-frequency variants and rare coding variants have been found to be associated with the risk of bipolar disorder (BD) and schizophrenia (SZ). However, less is known for individuals of other genetic ancestries or the role of rare non-coding variants in BD and SZ risk. We performed whole genome sequencing of African American individuals: 1,598 with BD, 3,295 with SZ, and 2,651 unaffected controls (InPSYght study).
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