Results 51 to 60 of about 6,093 (247)

Using phenome-wide association studies to examine the effect of environmental exposures on human health

Environment International, 2019
The field of environmental epidemiology has been using “-omics” technologies, including the exposome, metabolome, and methylome, to understand the potential effects and biological pathways of a number of environmental pollutants. However, the majority of
Joseph M. Braun, Geetika Kalloo, Samantha L. Kingsley, Nan Li   +3 more
doaj   +1 more source

PheWAS associations for COVID-19 susceptibility in GP data.

, 2021
PheWAS associations for COVID-19 susceptibility in GP data.
Hanan Musa (11383838), Eirini Marouli (4585735), Areti Papadopoulou (11383835), David McCoy (26701), Panos Deloukas (21564), Mathura Sivaganesan (11383841)   +5 more
core   +1 more source

BIGwas: Single-command quality control and association testing for multi-cohort and biobank-scale GWAS/PheWAS data

GigaScience, 2021
Background Genome-wide association studies (GWAS) and phenome-wide association studies (PheWAS) involving 1 million GWAS samples from dozens of population-based biobanks present a considerable computational challenge and are carried out by large ...
J. Kässens, L. Wienbrandt, D. Ellinghaus   +2 more
semanticscholar   +1 more source

Forest plot of PheWAS analyses of severe COVID-19 risk.

, 2021
Forest plot of PheWAS analyses of severe COVID-19 risk.
Hanan Musa (11383838), Eirini Marouli (4585735), Areti Papadopoulou (11383835), David McCoy (26701), Panos Deloukas (21564), Mathura Sivaganesan (11383841)   +5 more
core   +1 more source

An integrative functional genomics framework for effective identification of novel regulatory variants in genome–phenome studies

Genome Medicine, 2018
Background Genome–phenome studies have identified thousands of variants that are statistically associated with disease or traits; however, their functional roles are largely unclear.
Junfei Zhao, Feixiong Cheng, Peilin Jia, Nancy Cox, Joshua C. Denny, Zhongming Zhao   +5 more
doaj   +1 more source

Forest plot of Phewas analyses of general COVID-19 susceptibility.

, 2021
Forest plot of Phewas analyses of general COVID-19 susceptibility.
Hanan Musa (11383838), Eirini Marouli (4585735), Areti Papadopoulou (11383835), David McCoy (26701), Panos Deloukas (21564), Mathura Sivaganesan (11383841)   +5 more
core   +1 more source

PYPE: A Python pipeline for phenome-wide association (PheWAS) and mendelian randomization in investigator-driven phenotypes and genotypes of biobank data

bioRxiv, 2022
Motivation Phenome-wide association studies (PheWASs) serve as a way of documenting the relationship between genotypes and multiple phenotypes, helping to uncover new and unexplored genotype-phenotype associations (known as pleiotropy).
Taykhoom Dalal, C. Patel
semanticscholar   +1 more source

Predictive models for abdominal aortic aneurysms using polygenic scores and PheWAS-derived risk factors

Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing, 2022
Abdominal aortic aneurysms (AAA) are common enlargements of the abdominal aorta which can grow larger until rupture, often leading to death. Detection of AAA is often by ultrasonography and screening recommendations are mostly directed at men over 65 ...
J. Hellwege, Chad Dorn, M. Irvin, N. Limdi, J. Cimino, T. Beasley, Philip S. Tsao, S. Damrauer, D. Roden, D. V. Velez Edwards, Wei-Qi Wei, T. Edwards   +11 more
semanticscholar   +1 more source

High-throughput multimodal automated phenotyping (MAP) with application to PheWAS

, 2021
© 2019 The Author(s). Objective: Electronic health records linked with biorepositories are a powerful platform for translational studies. A major bottleneck exists in the ability to phenotype patients accurately and efficiently.
Ho, Yuk-Lam, Cai, Tianrun A, Zhang, Yichi, Huffman, Jennifer E, Gainer, Vivian, Cho, Kelly, Castro, Victor, Murphy, Shawn N, Link, Nicholas, Kohane, Isaac S, Liao, Katherine P, Huang, Jie, Gaziano, J Michael, Sun, Jiehuan, O’Donnell, Christopher J, Hong, Chuan, Szolovits, Peter, Cai, Tianxi, Yu, Sheng, Gronsbell, Jessica   +19 more
core   +1 more source

A Phenome-Wide Association Study of genes associated with COVID-19 severity reveals shared genetics with complex diseases in the Million Veteran Program.

PLoS Genetics, 2022
The study aims to determine the shared genetic architecture between COVID-19 severity with existing medical conditions using electronic health record (EHR) data.
Anurag Verma, Noah L Tsao, Lauren O Thomann, Yuk-Lam Ho, Sudha K Iyengar, Shiuh-Wen Luoh, Rotonya Carr, Dana C Crawford, Jimmy T Efird, Jennifer E Huffman, Adriana Hung, Kerry L Ivey, Michael G Levin, Julie Lynch, Pradeep Natarajan, Saiju Pyarajan, Alexander G Bick, Lauren Costa, Giulio Genovese, Richard Hauger, Ravi Madduri, Gita A Pathak, Renato Polimanti, Benjamin Voight, Marijana Vujkovic, Seyedeh Maryam Zekavat, Hongyu Zhao, Marylyn D Ritchie, VA Million Veteran Program COVID-19 Science Initiative, Kyong-Mi Chang, Kelly Cho, Juan P Casas, Philip S Tsao, J Michael Gaziano, Christopher O'Donnell, Scott M Damrauer, Katherine P Liao   +36 more
doaj   +1 more source