Results 1 to 10 of about 67,612 (348)

Polygenic risk score prediction accuracy convergence [PDF]

HGG Advances, 2023
Summary: Polygenic risk scores (PRSs) models trained from genome-wide association study (GWAS) results are set to play a pivotal role in biomedical research addressing multifactorial human diseases.
Léo Henches, Jihye Kim, Zhiyu Yang, Simone Rubinacci, Gabriel Pires, Clara Albiñana, Christophe Boetto, Hanna Julienne, Arthur Frouin, Antoine Auvergne, Yuka Suzuki, Sarah Djebali, Olivier Delaneau, Andrea Ganna, Bjarni Vilhjálmsson, Florian Privé, Hugues Aschard   +16 more
doaj   +7 more sources

Polygenic Risk Score Prediction for Endometriosis [PDF]

Frontiers in Reproductive Health, 2021
Endometriosis is a major health care challenge because many young women with endometriosis go undetected for an extended period, which may lead to pain sensitization.
Kirstine Kloeve-Mogensen, Kirstine Kloeve-Mogensen, Palle Duun Rohde, Palle Duun Rohde, Simone Twisttmann, Marianne Nygaard, Kristina Magaard Koldby, Rudi Steffensen, Christian Møller Dahl, Dorte Rytter, Michael Toft Overgaard, Axel Forman, Lene Christiansen, Lene Christiansen, Mette Nyegaard, Mette Nyegaard   +15 more
doaj   +8 more sources

Global trajectories of polygenic risk score research: a systematic bibliometric review of precision medicine, equity, and clinical translation [PDF]

Frontiers in Medicine
IntroductionPolygenic risk scores (PRS) have emerged as a central tool in genomic medicine, enabling risk prediction for common, complex diseases. Despite rapid methodological and clinical advances, concerns remain regarding the structural organization ...
Fouad Bitar, Fouad Bitar, Rana Zareef, Roukoz Abou-Karam, Roukoz Abou-Karam, Georges Nemer, Fadi F. Bitar, Akl C. Fahed, Akl C. Fahed, Akl C. Fahed, Zahi Abdul Sater   +10 more
doaj   +2 more sources

Integration of risk factor polygenic risk score with disease polygenic risk score for disease prediction

Communications Biology
Polygenic risk score (PRS) is useful for capturing an individual’s genetic susceptibility. However, previous studies have not fully exploited the potential of the risk factor PRS (RFPRS) for disease prediction.
Hyein Jung, Hae-Un Jung, Eun Ju Baek, Shin Young Kwon, Ji-One Kang, Ji Eun Lim, Bermseok Oh   +6 more
doaj   +3 more sources

ApplyPolygenicScore: An R package for applying polygenic risk score models [PDF]

Genetics in Medicine Open
Purpose: A polygenic score (PGS) predicts an individual’s genetic predisposition to a complex trait. A PGS is created by estimating the relative contributions of multiple common variants to the overall trait, creating a polygenic risk model (PGM).
Nicole Zeltser, Rachel M.A. Dang, Rupert Hugh-White, Daniel Knight, Jaron Arbet, Paul C. Boutros   +5 more
doaj   +2 more sources

Polygenic risk score for type 2 diabetes shows context-dependent effects across populations [PDF]

Nature Communications
Polygenic risk scores hold prognostic value for identifying individuals at higher risk of type 2 diabetes. However, further characterization is needed to understand the generalizability of type 2 diabetes polygenic risk scores in diverse populations ...
Boya Guo, Yanwei Cai, Daeeun Kim, Roelof A. J. Smit, Zhe Wang, Kruthika R. Iyer, Austin T. Hilliard, Jeffrey Haessler, Ran Tao, K. Alaine Broadaway, Yujie Wang, Nikita Pozdeyev, Frederik F. Stæger, Chaojie Yang, Brett Vanderwerff, Amit D. Patki, Lauren Stalbow, Meng Lin, Nicholas Rafaels, Jonathan Shortt, Laura Wiley, Maggie Stanislawski, Jack Pattee, Lea Davis, Peter S. Straub, Megan M. Shuey, Nancy J. Cox, Nanette R. Lee, Marit E. Jørgensen, Peter Bjerregaard, Christina Larsen, Torben Hansen, Ida Moltke, James B. Meigs, Daniel O. Stram, Xianyong Yin, Xiang Zhou, Kyong-Mi Chang, Shoa L. Clarke, Rodrigo Guarischi-Sousa, Joanna Lankester, Philip S. Tsao, Steven Buyske, Mariaelisa Graff, Laura M. Raffield, Quan Sun, Lynne R. Wilkens, Christopher S. Carlson, Charles B. Easton, Simin Liu, JoAnn E. Manson, Loïc L. Marchand, Christopher A. Haiman, Karen L. Mohlke, Penny Gordon-Larsen, Anders Albrechtsen, Michael Boehnke, Stephen S. Rich, Ani Manichaikul, Jerome I. Rotter, Noha A. Yousri, Ryan M. Irvin, The biobank at the Colorado Center for Personalized Medicine (CCPM), VA Million Veteran Program (MVP), Chris Gignoux, Kari E. North, Ruth J. F. Loos, Themistocles L. Assimes, Ulrike Peters, Charles Kooperberg, Sridharan Raghavan, Heather M. Highland, Burcu F. Darst   +72 more
doaj   +2 more sources

Performance of polygenic scores for predicting phobic anxiety. [PDF]

PLoS ONE, 2013
Anxiety disorders are common, with a lifetime prevalence of 20% in the U.S., and are responsible for substantial burdens of disability, missed work days and health care utilization.
Stefan Walter, M Maria Glymour, Karestan Koenen, Liming Liang, Eric J Tchetgen Tchetgen, Marilyn Cornelis, Shun-Chiao Chang, Eric Rimm, Ichiro Kawachi, Laura D Kubzansky   +9 more
doaj   +6 more sources

Low Neoplasm Polygenic Risk Score [PDF]

, 2020
National Cancer Institute
openalex   +2 more sources

Association of Multiple-trait Polygenic Risk Score with Obesity and Cardiometabolic Diseases in Korean Population. [PDF]

Genomics Proteomics Bioinformatics
Jo J, Ha N, Ji Y, Do A, Seo JH, Oh B, Choi S, Choe EK, Lee W, Son JW, Won S.   +10 more
europepmc   +2 more sources

Polygene Risk Scores

Philosophy of Medicine, 2023
This paper explores the interpretation and use of polygenic risk scores (PRSs). We argue that PRSs generally do not directly embody causal information. Nonetheless, they can assist us in tracking other causal relationships concerning genetic effects.
James Woodward, Kenneth Kendler
openaire   +3 more sources