Results 61 to 70 of about 6,310 (247)

Enhanced pain relief with guanfacine as an adjuvant for trigeminal nerve blocks: insights from a PheWAS-guided randomized controlled study

Pain medicine (Malden, Mass.)
Background Trigeminal neuralgia and painful trigeminal neuropathy are severely painful conditions which are often difficult to treat with medications. A Phenome-Wide Association Study (PheWAS) analysis identified an association between single-nucleotide ...
Shelby E Meier, Michael Orr, Matthew S. Shotwell, Rebecca N. Jerome, Jana Shirey-Rice, Jill M. Pulley, David A. Edwards, Amanda Toye, Puneet Mishra, Tigran Kesayan   +9 more
semanticscholar   +1 more source

Cohort-specific "B2_ALL" PRS PheWAS Results for EUR Ancestry, Unadjusted for BMI.

, 2023
Cohort-specific "B2_ALL" PRS PheWAS Results for EUR Ancestry, Unadjusted for BMI.
Ritoban Kundu (10937289), Stephen Burgess (3368630), Bhramar Mukherjee (90346), Maxwell Salvatore (6836702), Xu Shi (216330), Seunggeun Lee (741906), Lars G. Fritsche (9046596), Kisung Nam (17675388), Jiacong Du (12035845)   +8 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

Integrative PheWAS analysis in risk categorization of major depressive disorder and identifying their associations with genetic variants using a latent topic model approach

Translational Psychiatry, 2022
Major depressive disorder (MDD) is the most prevalent mental disorder that constitutes a major public health problem. A tool for predicting the risk of MDD could assist with the early identification of MDD patients and targeted interventions to reduce ...
Xiang-Fei Meng, M. Wang, K. O'Donnell, J. Caron, M. Meaney, Yue Li   +5 more
semanticscholar   +1 more source

Contains results from the PheWAS analyses and the CMDPRS regression analysis on PCOS diagnosis.

, 2023
Contains results from the PheWAS analyses and the CMDPRS regression analysis on PCOS diagnosis.
Ky’Era V. Actkins (15999347), Genevieve Jean-Pierre (15999350), Digna R. Velez Edwards (6830090), Lea K. Davis (13874122), Digna R. Velez Edwards, Lea K. Davis, Melinda C. Aldrich, Ky’Era V. Actkins, Melinda C. Aldrich (6688181), Genevieve Jean-Pierre   +9 more
core   +1 more source

Increased risk of multisystem comorbidities and disease trajectories following hyperthyroidism: evidence from the 0.5 million UK Biobank population

Endocrine Connections
Methods: After a 1:4 propensity score matching, a total of 5,832 hyperthyroidism patients and 22,579 controls from the UK Biobank were included in this study.
Qiuyuan Chen, Doudou Chen, Xinpan Wang, Yunhao Zheng, Longyao Zhang, Zaiming Li, Xiaoyu Wu, Qin Chen, Ruyang Zhang, Feng Chen, Tao Yang, Xuqin Zheng, Yongyue Wei   +12 more
doaj   +1 more source

A PheWAS approach to identify associations of GBA1 variants with comprehensive phenotypes beyond neurological diseases

npj Parkinson's Disease
Given the established association between numerous GBA1 variants and specific neurological diseases, we extended the exploration by a phenome-wide association study to assess the impact of GBA1 variants on a wider spectrum of health-related traits.
Jia-Qi Yang, Yuan-Feng Huang, Zheng Wang, Shi-Yu Zhang, Dai Wu, Jiayi Xiong, Heng Wu, Yi-Jing Wang, Qiao Zhou, Yi-Xiao Zhu, Gui-Hu Zhao, Bin Li, Ji-Feng Guo, Kun Xia, Bei-Sha Tang, Jin-Chen Li   +15 more
semanticscholar   +1 more source

Summary of "B1_ALL" and "B2_ALL" PRS PheWAS Meta-Analysis Results for EUR Ancestry.

, 2023
Summary of "B1_ALL" and "B2_ALL" PRS PheWAS Meta-Analysis Results for EUR Ancestry.
Ritoban Kundu (10937289), Stephen Burgess (3368630), Bhramar Mukherjee (90346), Maxwell Salvatore (6836702), Xu Shi (216330), Seunggeun Lee (741906), Lars G. Fritsche (9046596), Kisung Nam (17675388), Jiacong Du (12035845)   +8 more
core   +1 more source

PheWAS study participant characteristics.

, 2019
PheWAS study participant characteristics.
A. Katrina Loomis (188711), Myriam Alexander (5622932), Nicholas Galwey (6585521), Liis Kolberg (5967164), Reedik Mägi (667294), Paul Avillach (173608), Dawn Waterworth (160856), Glen James (6585518), Sulev Reisberg (3139788), Jaak Vilo (231157), Kaido Lepik (4442437), Tõnu Esko (102379)   +11 more
core   +1 more source

B1_ALL" PRS PheWAS Meta-Analysis Results for AFR Ancestry, Unadjusted for BMI.

, 2023
B1_ALL" PRS PheWAS Meta-Analysis Results for AFR Ancestry, Unadjusted for BMI.
Ritoban Kundu (10937289), Stephen Burgess (3368630), Bhramar Mukherjee (90346), Maxwell Salvatore (6836702), Xu Shi (216330), Seunggeun Lee (741906), Lars G. Fritsche (9046596), Kisung Nam (17675388), Jiacong Du (12035845)   +8 more
core   +1 more source