ArticleNature communications2021
Improved genetic prediction of complex traits from individual-level data or summary statistics.
Article in Nature communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 127 papers, 2 of them syntheses that pooled it.
What it found
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
127 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Genome-wide association study of major anxiety disorders in 122,341 European-ancestry cases identifies 58 loci and highlights GABAergic signaling.Nature genetics · 2026Pooled it
- Genome-wide analysis of genetic pleiotropy and causal genes across three age-related ocular disorders.Human genetics · 2023Pooled it
- DeepU-PRS: nonlinear and uncertainty-aware SNP heritability modeling for annotation-informed polygenic risk scoring.Briefings in bioinformatics · 2026Article
- A pre-train and fine-tune framework for adaptive boosting of pre-trained polygenic risk scores.Nature communications · 2026Article
- Multimodal Integration of Protein Interactomes With Genomic and Molecular Data Discovers Distinct Rheumatoid Arthritis Endotypes.Arthritis & rheumatology (Hoboken, N.J.) · 2026Article
- The influence of structural variants from 2445 pigs on gene expression and complex traits.Nature communications · 2026Article
- MIXPRS enables multi-population and multi-method polygenic risk scores using summary statistics.Nature genetics · 2026Article
- An introduction to polygenic scores - methodological basics and recent advances.Medizinische Genetik : Mitteilungsblatt des Berufsverbandes Medizinische Genetik e.V · 2026Article
- Metabolomic ageing across mental and behavioural disorders.BMJ mental health · 2026Article
- Association and risk prediction of 19 complex diseases with polygenic scores and socioeconomic status.Communications medicine · 2026Article
- PolyGenie: a reproducible Nextflow pipeline for phenome-wide association studies using polygenic risk scores.NAR genomics and bioinformatics · 2026Article
- Splitting schizophrenia: divergent cognitive and educational outcomes revealed by genomic structural equation modelling.Molecular psychiatry · 2026Article
- Metabolomic ageing (MileAge) in mid-life predicts incident vascular, unspecified and all-cause dementia.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026Article
- Improving genomic prediction accuracy of complex traits by integrating massive types of functional annotation information.Nature communications · 2026Article
- Empirical evaluation of analytic validity of polygenic scores.Genome medicine · 2026Article
- Enhancing polygenic risk prediction by modeling quantile-specific genetic effects.Scientific reports · 2026Article
- Comprehensive benchmarking single and multi ancestry polygenic score methods with the PGS-hub platform.Nature communications · 2026Article
- Per-allele disease and complex trait effect sizes are predominantly African MAF-dependent in European populations.medRxiv : the preprint server for health sciences · 2026Article
- Interaction between Neighborhood Exposome and Genetic Risk in Child Persistent Distressing Psychotic-like Experiences.Nature. Mental health · 2026Article
- Article
67 more citing papers are in PubMed but not listed here.
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Authors and funding
4 authors.
Funding
Abstract
Most existing tools for constructing genetic prediction models begin with the assumption that all genetic variants contribute equally towards the phenotype. However, this represents a suboptimal model for how heritability is distributed across the genome. Therefore, we develop prediction tools that allow the user to specify the heritability model. We compare individual-level data prediction tools using 14 UK Biobank phenotypes; our new tool LDAK-Bolt-Predict outperforms the existing tools Lasso, BLUP, Bolt-LMM and BayesR for all 14 phenotypes. We compare summary statistic prediction tools using 225 UK Biobank phenotypes; our new tool LDAK-BayesR-SS outperforms the existing tools lassosum, sBLUP, LDpred and SBayesR for 223 of the 225 phenotypes. When we improve the heritability model, the proportion of phenotypic variance explained increases by on average 14%, which is equivalent to increasing the sample size by a quarter.
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Registered trials
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 OpenQuestion graph.