Results 11 to 20 of about 22,489,720 (176)

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

Journal of Clinical Endocrinology and Metabolism, 2020
Context: As many as 75% of patients with polycystic ovary syndrome (PCOS) are estimated tobe unidentified in clinical practice. Objective: Utilizing polygenic risk prediction, we aim to identify the phenome-widecomorbidity patterns characteristic of PCOS
Lea Karatheodoris Davis, Digna R. Velez Edwards, Anubha Mahajan   +2 more
exaly   +5 more sources

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   +6 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

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

Trends in Genetics, 2022
Dana Crawford, Shiying Liu
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
Joshua C. Denny, Dan Roden, Lisa Bastarache   +2 more
exaly   +2 more sources

Refining Genetic Instruments for Dietary Intake Mendelian Randomization Using Phenome-Wide Association Studies. [PDF]

Genet Epidemiol
ABSTRACT Most Mendelian randomization (MR) of dietary intake use the full set of genome‐wide significant (GWS) variants in the instrumental variable (IV), likely biasing causal estimates due to pleiotropy. To characterize the common methods to handle pleiotropy in dietary intake MR, we conducted a scoping review of the literature on dietary intake MR ...
Sutton KJ, Gervis JE, Jatoi M, Hwang LD, Hendricks AE, Ghosh D, Westerman KE, Cole JB.   +7 more
europepmc   +2 more sources

Polygenic risk score-based phenome-wide association study identifies novel associations for Tourette syndrome [PDF]

, 2023
Tourette Syndrome (TS) is a complex neurodevelopmental disorder characterized by vocal and motor tics lasting more than a year. It is highly polygenic in nature with both rare and common previously associated variants.
Yu, Dongmei K., Tumer, Zeynep, Boomsma, Dorret I, Hedderly, Tammy, Janik, Piotr, Buxbaum, Joseph D, Walitza, Susanne, Dietrich, Andrea, Scharf, Jeremiah M, Munchau, Alexander, Mathews, Carol A, Tumer, Zeynep A., Müller-Vahl, Kirsten R, Mueller-Vahl, Kirsten R., Tarnok, Zsanett, Cardona, Francesco, Mathews, Carol A., Davis, Lea K., Plessen, Kerstin J, The Psychiatric Genomics Consortium Tourette Syndrome Working Group (PGC-TS), Drineas, Petros, Cath, Danielle, Hartmann, Andreas S., The EMTICS collaborative group, Depienne, Christel, Hoekstra, Pieter J, Davis, Lea K, Benaroya-Milshtein, Noa, Barta, Csaba, Hartmann, Andreas, Jain, Pritesh, Porcelli, Cesare, Depienne, Christel E., Boomsma, Dorret I., Müller-Vahl, Kirsten R., Yu, Dongmei, Rizzo, Renata, Buxbaum, Joseph D., Plessen, Kerstin J., Nemoda, Zsofia, Topaloudi, Apostolia R., Martino, Davide, Glennon, Jeffrey, Mueller, Norbert, Paschou, Peristera, Cath, Danielle C, Mol Debes, Nanette, Huyser, Chaim, Grice, Dorothy, The TS-EUROTRAIN Network, Hengerer, Bastian, Schrag, Anette, Benaroya‑Milshtein, Noa, Morer, Astrid, Hoekstra, Pieter J., Cath, Danielle C., Scharf, Jeremiah M., Worbe, Yulia, Psychiatric Genomics Consortium, Georgitsi, Marianthi, Szejko, Natalia, Yang, Zhiyu, Heyman, Isobel, Roessner, Veit, Zekanowski, Cezary, Worbe, Yulia S., Dietrich, Andrea; id_orcid, Coffey, Barbara, Wolanczyk, Tomasz, Boomsma, Dorret, Mir, Pablo, Stefansson, Hreinn, Miller-Fleming, Tyne, Topaloudi, Apostolia   +73 more
core   +11 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

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

Immunology, 2014
Scott Hebbring
exaly   +2 more sources