ArticleNature communications2023
Multi-PGS enhances polygenic prediction by combining 937 polygenic scores.
Article in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers, 2 of them syntheses that pooled it.
What it found
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Who cites it
51 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Genetic Biomarkers for Periodontal Diseases: A Systematic Review.Journal of clinical periodontology · 2025Pooled it
- Pharmacogenomic scores in psychiatry: systematic review of current evidence.Translational psychiatry · 2024Pooled it
- Partitioned blood pressure polygenic risk reveals differential genetic effects of tissue-specific enhancers and their interactions on cardiovascular disease.Research square · 2026Article
- Prediction of Clinically Meaningful Improvement After Internet-Delivered Cognitive Behavioral Therapy for Depression and Anxiety Disorders: Machine Learning-Based Predictive Model Development and Temporal Validation Study.Journal of medical Internet research · 2026Article
- Performance of Polygenic Risk Scores for Atherosclerotic Cardiovascular Disease in theCirculation. Genomic and precision medicine · 2026Article
- DNA methylation as proxy of genetic, prenatal and perinatal psychiatric risk factors.medRxiv : the preprint server for health sciences · 2026Article
- An introduction to polygenic scores - methodological basics and recent advances.Medizinische Genetik : Mitteilungsblatt des Berufsverbandes Medizinische Genetik e.V · 2026Article
- Clinical utility of polygenic risk scores in cardiovascular disorders.Medizinische Genetik : Mitteilungsblatt des Berufsverbandes Medizinische Genetik e.V · 2026Article
- Hundreds of cardiac MRI traits derived using 3D diffusion autoencoders share a common genetic architecture.Nature communications · 2026Article
- Methods for joint genetic prediction of multiple ordinal categorical and continuous traits.Genetics · 2026Article
- Multi-trait polygenic risk scores improve genomic prediction of atrial fibrillation across diverse ancestries.Nature communications · 2026Article
- Distinct Neonatal Brain Anatomy Is Associated With Cross-Disorder Genetic Risk for Psychiatric Disorders.Human brain mapping · 2026Article
- The Contributions of Multiple Polygenic Scores in Predicting Liability for Major Depressive Disorder and Its Comorbidity with Alcohol Use Disorder.Behavior genetics · 2026Article
- Common and rare variant contributions to discontinuation of stimulant treatment in ADHD.Translational psychiatry · 2026Article
- A deep ensemble encoder network method for improved polygenic risk score prediction.BioData mining · 2026Article
- Evaluating genetic-based disease prediction approaches through simulation.Human genetics · 2026Article
- Using multi-trait polygenic scores to predict lithium responsiveness in patients with bipolar disorder.medRxiv : the preprint server for health sciences · 2026Article
- Joint modeling of effect sizes for two correlated traits: Characterizing trait properties to enhance polygenic risk prediction.PLoS genetics · 2026Article
- Integrating multi-polygenic scores for enhanced prediction of antidepressant treatment outcomes in an East Asian population.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2026Article
- Association Between Maternal Genome-Wide Polygenic Scores for Psychiatric and Neurodevelopmental Disorders and Adverse Perinatal Events: A Danish Population-Based Study.Biological psychiatry global open science · 2026Article
Corrections and comments
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Authors and funding
19 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The predictive performance of polygenic scores (PGS) is largely dependent on the number of samples available to train the PGS. Increasing the sample size for a specific phenotype is expensive and takes time, but this sample size can be effectively increased by using genetically correlated phenotypes. We propose a framework to generate multi-PGS from thousands of publicly available genome-wide association studies (GWAS) with no need to individually select the most relevant ones. In this study, the multi-PGS framework increases prediction accuracy over single PGS for all included psychiatric disorders and other available outcomes, with prediction R
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.