ArticleGenomics & informatics2021
Statistical models and computational tools for predicting complex traits and diseases.
Article in Genomics & informatics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed.
- Mapping Focal and Generalized Effects of Common Genetic Variants on Human Brain Structure.bioRxiv : the preprint server for biology · 2026Article
- Multimodal deep learning approaches for improving polygenic risk scores with imaging data.Scientific reports · 2026Article
- Statistical learning methods for improving predictive performance in time-dependent survival models.Genomics & informatics · 2025Article
- Genetic Links Between Subcortical Brain Morphometry and Suicide Attempt Risk in Children and Adults.Human brain mapping · 2025Article
- Assessing the causal effects of type 2 diabetes and obesity-related traits on COVID-19 severity.Human genomics · 2025Article
- A review of methods and software for polygenic risk score analysis.PeerJ. Computer science · 2025Article
- Genomic analysis of intracranial and subcortical brain volumes yields polygenic scores accounting for variation across ancestries.Nature genetics · 2024Article
- Genomic analysis of intracranial and subcortical brain volumes yields polygenic scores accounting for variation across ancestries.medRxiv : the preprint server for health sciences · 2024Article
- Type 2 diabetes and its genetic susceptibility are associated with increased severity and mortality of COVID-19 in UK Biobank.Communications biology · 2024Article
- A Functional Single-Nucleotide Polymorphism Upstream of the Collagen Type III Gene Is Associated with Catastrophic Fracture Risk in Thoroughbred Horses.Animals : an open access journal from MDPI · 2023Article
- Applying polygenic risk score methods to pharmacogenomics GWAS: challenges and opportunities.Briefings in bioinformatics · 2023Article
- mtPGS: Leverage multiple correlated traits for accurate polygenic score construction.American journal of human genetics · 2023Article
- Bayesian analysis of longitudinal traits in the Korea Association Resource (KARE) cohort.Genomics & informatics · 2022Article
- Bayesian mixed models for longitudinal genetic data: theory, concepts, and simulation studies.Genomics & informatics · 2022Article
Corrections and comments
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1 author.
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Abstract
Predicting individual traits and diseases from genetic variants is critical to fulfilling the promise of personalized medicine. The genetic variants from genome-wide association studies (GWAS), including variants well below GWAS significance, can be aggregated into highly significant predictions across a wide range of complex traits and diseases. The recent arrival of large-sample public biobanks enables highly accurate polygenic predictions based on genetic variants across the whole genome. Various statistical methodologies and diverse computational tools have been introduced and developed to computed the polygenic risk score (PRS) more accurately. However, many researchers utilize PRS tools without a thorough understanding of the underlying model and how to specify the parameters for the best performance. It is advantageous to study the statistical models implemented in computational tools for PRS estimation and the formulas of parameters to be specified. Here, we review a variety of recent statistical methodologies and computational tools for PRS computation.
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