Results 11 to 20 of about 21,579,379 (182)

DeepPheWAS: an R package for phenotype generation and association analysis for phenome-wide association studies. [PDF]

Bioinformatics, 2023
DeepPheWAS is an R package for phenome-wide association studies that creates clinically curated composite phenotypes and integrates quantitative phenotypes from primary care data, longitudinal trajectories of quantitative measures, disease progression ...
Packer RJ, Williams AT, Hennah W, Eisenberg MT, Shrine N, Fawcett KA, Pearson W, Guyatt AL, Edris A, Hollox EJ, Marttila M, Rao BS, Bratty JR, Wain LV, Dudbridge F, Tobin MD.   +15 more
europepmc   +9 more sources

FM-GPT: Bayesian fine mapping for phenome-wide transcriptome-wide association studies. [PDF]

PLoS Genetics
Transcriptome-wide association studies (TWAS) integrate genome wide association studies with expression quantitative trait locus reference panels to identify genes associated with traits of interest.
Travis Canida, Zhenyao Ye, Shao-Hsuan Wang, Hsin-Hsiung Huang, Yezhi Pan, Menglu Liang, Shuo Chen, Tianzhou Ma   +7 more
doaj   +2 more sources

Scalable and Robust Regression Methods for Phenome-Wide Association Analysis on Large-Scale Biobank Data

Frontiers in Genetics, 2021
With the advances in genotyping technologies and electronic health records (EHRs), large biobanks have been great resources to identify novel genetic associations and gene-environment interactions on a genome-wide and even a phenome-wide scale.
Wenjian Bi, Wenjian Bi, Wenjian Bi, Seunggeun Lee   +3 more
doaj   +3 more sources

Maturation and application of phenome-wide association studies [PDF]

Trends in Genetics, 2022
Dana Crawford
exaly   +2 more sources

Leveraging Genome and Phenome-Wide Association Studies to Investigate Genetic Risk of Acute Lymphoblastic Leukemia. [PDF]

Cancer Epidemiol Biomarkers Prev, 2020
BACKGROUND: Genome-wide association studies (GWAS) of childhood cancers remain limited, highlighting the need for novel analytic strategies. We describe a hybrid GWAS and phenome-wide association study (PheWAS) approach to uncover genotype-phenotype ...
Semmes EC, Vijayakrishnan J, Zhang C, Hurst JH, Houlston RS, Walsh KM.   +5 more
europepmc   +2 more sources

Phenome-Wide Association Studies as a Tool to Advance Precision Medicine [PDF]

Annual Review of Genomics and Human Genetics, 2016
Josh Denny, Dan Roden, Lisa Bastarache   +2 more
exaly   +2 more sources

A Polygenic and Phenotypic Risk Prediction for Polycystic Ovary Syndrome Evaluated by Phenome-Wide Association Studies.

J Clin Endocrinol Metab, 2020
CONTEXT: As many as 75% of patients with polycystic ovary syndrome (PCOS) are estimated to be unidentified in clinical practice. OBJECTIVE: Utilizing polygenic risk prediction, we aim to identify the phenome-wide comorbidity patterns characteristic of ...
Joo YY, Actkins K, Pacheco JA, Basile AO, Carroll R, Crosslin DR, Day F, Denny JC, Velez Edwards DR, Hakonarson H, Harley JB, Hebbring SJ, Ho K, Jarvik GP, Jones M, Karaderi T, Mentch FD, Meun C, Namjou B, Pendergrass S, Ritchie MD, Stanaway IB, Urbanek M, Walunas TL, Smith M, Chisholm RL, Kho AN, Davis L, Hayes MG, International PCOS Consortium.   +29 more
europepmc   +3 more sources

Genome-Wide Association Studies of Soybean Yield-Related Hyperspectral Reflectance Bands Using Machine Learning-Mediated Data Integration Methods

Frontiers in Plant Science, 2021
In conjunction with big data analysis methods, plant omics technologies have provided scientists with cost-effective and promising tools for discovering genetic architectures of complex agronomic traits using large breeding populations.
Mohsen Yoosefzadeh-Najafabadi, Sepideh Torabi, Dan Tulpan, Istvan Rajcan, Milad Eskandari   +4 more
doaj   +1 more source

Leveraging genomic diversity for discovery in an electronic health record linked biobank: the UCLA ATLAS Community Health Initiative

Genome Medicine, 2022
Background Large medical centers in urban areas, like Los Angeles, care for a diverse patient population and offer the potential to study the interplay between genetic ancestry and social determinants of health.
Ruth Johnson, Yi Ding, Vidhya Venkateswaran, Arjun Bhattacharya, Kristin Boulier, Alec Chiu, Sergey Knyazev, Tommer Schwarz, Malika Freund, Lingyu Zhan, Kathryn S. Burch, Christa Caggiano, Brian Hill, Nadav Rakocz, Brunilda Balliu, Christopher T. Denny, Jae Hoon Sul, Noah Zaitlen, Valerie A. Arboleda, Eran Halperin, Sriram Sankararaman, Manish J. Butte, UCLA Precision Health Data Discovery Repository Working Group, UCLA Precision Health ATLAS Working Group, Clara Lajonchere, Daniel H. Geschwind, Bogdan Pasaniuc   +25 more
doaj   +1 more source

The challenges, advantages and future of phenome‐wide association studies [PDF]

Immunology, 2014
Scott Hebbring
exaly   +2 more sources