Results 31 to 40 of about 6,310 (247)

PheWAS and cross-disorder analysis reveal genetic architecture, pleiotropic loci and phenotypic correlations across 11 autoimmune disorders

Frontiers in Immunology, 2023
Introduction Autoimmune disorders (ADs) are a group of about 80 disorders that occur when self-attacking autoantibodies are produced due to failure in the self-tolerance mechanisms.
A. Topaloudi, Pritesh R. Jain, Melanie B. Martinez, Josephine K. Bryant, Grace Reynolds, Zoi Zagoriti, George Lagoumintzis, E. Zamba-Papanicolaou, J. Tzartos, Konstantinos Poulas, K. Kleopa, S. Tzartos, Marianthi Georgitsi, P. Drineas, P. Paschou   +14 more
semanticscholar   +1 more source

A phenome-wide association study (PheWAS) to identify the health impacts of 4-cresol sulfate in the Nagahama Study

Scientific Reports, 2023
Gut-microbiota derived metabolites are important regulators of host biology and metabolism. To understand the impacts of the microbial metabolite 4-cresol sulfate (4-CS) on four chronic diseases [type 2 diabetes mellitus, metabolic syndrome (MetS), non ...
Hui-Ting Ou, S. Kawaguchi, K. Sonomura, T. Kawaguchi, Seri Kitada, Satoshi Yoshiji, F. Brial, D. Gauguier, J. Xia, F. Matsuda   +9 more
semanticscholar   +1 more source

Summary statistics from PheWAS.

, 2022
Summary statistics for logistic regression model for PheWAS where disease conditions used as outcomes, adjusted for age, age^2, sex, race and PC1-10. The effects from the rs9274619:A interacting with T2D status is documented and the disease conditions ...
Kaavya Paruchuri (13994019), Margaret Sunitha Selvaraj (13994016), Rachel Bernardo (13994025), Sara Haidermota (13994022), Stephen S. Rich (7634141), Pradeep Natarajan (819434), Gina M. Peloso (12036929)   +6 more
core   +1 more source

A Case-Crossover Phenome-wide association study (PheWAS) for understanding Post-COVID-19 diagnosis patterns

Journal of Biomedical Informatics, 2022
Graphical ...
Spencer Haupert, Xu Shi, Chen Chen, Lars G. Fritsche, B. Mukherjee   +4 more
semanticscholar   +2 more sources

PheWAS associations for COVID-19 susceptibility in HES data.

, 2021
PheWAS associations for COVID-19 susceptibility in HES 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

A Phenome-Wide Association Study (PheWAS) of Late Onset Alzheimer Disease Genetic Risk in Children of European Ancestry at Middle Childhood: Results from the ABCD Study

Behavior Genetics, 2023
Genetic risk for Late Onset Alzheimer Disease (AD) has been associated with lower cognition and smaller hippocampal volume in healthy young adults. However, whether these and other associations are present during childhood remains unclear.
Aaron J. Gorelik, S. Paul, N. Karcher, E. Johnson, I. Nagella, L. Blaydon, Hailey Modi, I. Hansen, S. Colbert, D. Baranger, S. Norton, Isaiah Spears, B. Gordon, W. Zhang, P. Hill, T. Oltmanns, J. Bijsterbosch, A. Agrawal, A. Hatoum, R. Bogdan   +19 more
semanticscholar   +1 more source

Overview of variant selection and PheWAS analysis design.

, 2022
Overview of variant selection and PheWAS analysis design.
Hongyu Zhao (4728), Jimmy T. Efird (12036932), Kelly Cho (289664), Juan P. Casas (7807169), J. Michael Gaziano (12032696), Saiju Pyarajan (66900), Richard Hauger (12475337), Michael G. Levin (9499397), Julie Lynch (4219603), Rotonya Carr (12475334), Philip S. Tsao (8636055), Katherine P. Liao (10798020), Lauren O. Thomann (12475328), Jennifer E. Huffman (7665404), Alexander G. Bick (3838756), Ravi Madduri (3141645), Benjamin Voight (120870), Pradeep Natarajan (819434), Yuk-Lam Ho (7010873), Sudha K. Iyengar (9641928), Kyong-Mi Chang (267170), Scott M. Damrauer (8636049), Christopher O’Donnell (3695887), Adriana Hung (3437171), Giulio Genovese (120795), Marylyn D. Ritchie (8144406), Gita A. Pathak (8863988), Kerry L. Ivey (10989539), Marijana Vujkovic (8704014), Seyedeh Maryam Zekavat (12475340), Noah L. Tsao (11682118), Dana C. Crawford (6688184), Anurag Verma (669308), Lauren Costa (10798014), Renato Polimanti (3043917), Shiuh-Wen Luoh (12475331)   +35 more
core   +1 more source

Technical Report: Protocol for Characterizing Phenotype Variants Using Phenome-Wide Association Study (PheWAS) Utilizing the Nationwide Inpatient Sample 2020 in Individuals With Pancreatic Cysts and Lung Cancer

Cureus, 2023
This technical report serves as a comprehensive guide for conducting a phenome-wide association study (PheWAS) utilizing data extracted from the Nationwide Inpatient Sample 2020.
Samuel Y. Huang, Reyes Johnathan, Neal C. Shah, Pranay Srivastava, Alexander A. Huang, Frank G. Gress   +5 more
semanticscholar   +1 more source

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

, 2021
Forest plot of PheWAS analyses of hospitalised 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

Discovering comorbid diseases using an inter-disease interactivity network based on biobank-scale PheWAS data

Bioinform., 2022
Motivation Understanding comorbidity is essential for disease prevention, treatment and prognosis. In particular, insight into which pairs of diseases are likely or unlikely to co-occur may help elucidate the potential relationships between complex ...
Yonghyun Nam, Sang-Hyuk Jung, Jae-Seung Yun, V. Sriram, Pankhuri Singhal, M. Byrska-Bishop, A. Verma, Hyun-Weon Shin, Woong-Yang Park, H. Won, Dokyoon Kim   +10 more
semanticscholar   +1 more source