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Pharmacogenomic scores in psychiatry: systematic review of current evidence
NT Sharew, SR Clark, KO Schubert… - Translational Psychiatry, 2024 - nature.com
In the past two decades, significant progress has been made in the development of
polygenic scores (PGSs). One specific application of PGSs is the development and potential …
polygenic scores (PGSs). One specific application of PGSs is the development and potential …
Evaluation of polygenic scoring methods in five biobanks shows larger variation between biobanks than methods and finds benefits of ensemble learning
Methods of estimating polygenic scores (PGSs) from genome-wide association studies are
increasingly utilized. However, independent method evaluation is lacking, and method …
increasingly utilized. However, independent method evaluation is lacking, and method …
Advancements and limitations in polygenic risk score methods for genomic prediction: a sco** review
This sco** review aims to identify and evaluate the landscape of Polygenic Risk Score
(PRS)-based methods for genomic prediction from 2013 to 2023, highlighting their …
(PRS)-based methods for genomic prediction from 2013 to 2023, highlighting their …
Advancing multimodal medical capabilities of Gemini
Many clinical tasks require an understanding of specialized data, such as medical images
and genomics, which is not typically found in general-purpose large multimodal models …
and genomics, which is not typically found in general-purpose large multimodal models …
Integrative polygenic risk score improves the prediction accuracy of complex traits and diseases
Polygenic risk scores (PRSs) are an emerging tool to predict the clinical phenotypes and
outcomes of individuals. We propose PRSmix, a framework that leverages the PRS corpus …
outcomes of individuals. We propose PRSmix, a framework that leverages the PRS corpus …
MUSSEL: Enhanced Bayesian polygenic risk prediction leveraging information across multiple ancestry groups
Polygenic risk scores (PRSs) are now showing promising predictive performance on a wide
variety of complex traits and diseases, but there exists a substantial performance gap across …
variety of complex traits and diseases, but there exists a substantial performance gap across …
[HTML][HTML] mtPGS: Leverage multiple correlated traits for accurate polygenic score construction
Accurate polygenic scores (PGSs) facilitate the genetic prediction of complex traits and aid
in the development of personalized medicine. Here, we develop a statistical method called …
in the development of personalized medicine. Here, we develop a statistical method called …
Machine learning and phylogenetic analysis allow for predicting antibiotic resistance in M. tuberculosis
Background Antimicrobial resistance (AMR) poses a significant global health threat, and an
accurate prediction of bacterial resistance patterns is critical for effective treatment and …
accurate prediction of bacterial resistance patterns is critical for effective treatment and …
Deep integrative models for large-scale human genomics
Polygenic risk scores (PRSs) are expected to play a critical role in precision medicine.
Currently, PRS predictors are generally based on linear models using summary statistics …
Currently, PRS predictors are generally based on linear models using summary statistics …
Improving on polygenic scores across complex traits using select and shrink with summary statistics (S4) and LDpred2
Background As precision medicine advances, polygenic scores (PGS) have become
increasingly important for clinical risk assessment. Many methods have been developed to …
increasingly important for clinical risk assessment. Many methods have been developed to …