ArticleNature communications2020
Efficient polygenic risk scores for biobank scale data by exploiting phenotypes from inferred relatives.
Article in Nature communications, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed.
- Sharing approaches in predictive genomics across animals, plants and humans.Nature genetics · 2026Review
- Real-time dynamic polygenic prediction for streaming data.Nature genetics · 2025Article
- Optimizing and benchmarking polygenic risk scores with GWAS summary statistics.Genome biology · 2024Article
- Article
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- Quantifying factors that affect polygenic risk score performance across diverse ancestries and age groups for body mass index.Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing · 2023Article
- Average semivariance directly yields accurate estimates of the genomic variance in complex trait analyses.G3 (Bethesda, Md.) · 2022Article
- Systemic lupus erythematosus as a genetic disease.Clinical immunology (Orlando, Fla.) · 2022Article
- IPRS: Leveraging Gene-Environment Interaction to Reconstruct Polygenic Risk Score.Frontiers in genetics · 2022Article
- Lifestyle Modifies the Diabetes-Related Metabolic Risk, Conditional on Individual Genetic Differences.Frontiers in genetics · 2022Article
- Climate change, human health, and the exposome: Utilizing OMIC technologies to navigate an era of uncertainty.Frontiers in public health · 2022Review
- An integrative analysis of genomic and exposomic data for complex traits and phenotypic prediction.Scientific reports · 2021Article
- How is family health history discussed in routine primary healthcare? A qualitative study of archived family doctor consultations.BMJ open · 2021Article
- PUMAS: fine-tuning polygenic risk scores with GWAS summary statistics.Genome biology · 2021Article
- GxEsum: a novel approach to estimate the phenotypic variance explained by genome-wide GxE interaction based on GWAS summary statistics for biobank-scale data.Genome biology · 2021Article
- A unified framework for cross-population trait prediction by leveraging the genetic correlation of polygenic traits.American journal of human genetics · 2021Article
- Accounting for Population Structure and Phenotypes From Relatives in Association Mapping for Farm Animals: A Simulation Study.Frontiers in genetics · 2021Article
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
Polygenic risk scores are emerging as a potentially powerful tool to predict future phenotypes of target individuals, typically using unrelated individuals, thereby devaluing information from relatives. Here, for 50 traits from the UK Biobank data, we show that a design of 5,000 individuals with first-degree relatives of target individuals can achieve a prediction accuracy similar to that of around 220,000 unrelated individuals (mean prediction accuracy = 0.26 vs. 0.24, mean fold-change = 1.06 (95% CI: 0.99-1.13), P-value = 0.08), despite a 44-fold difference in sample size. For lifestyle traits, the prediction accuracy with 5,000 individuals including first-degree relatives of target individuals is significantly higher than that with 220,000 unrelated individuals (mean prediction accuracy = 0.22 vs. 0.16, mean fold-change = 1.40 (1.17-1.62), P-value = 0.025). Our findings suggest that polygenic prediction integrating family information may help to accelerate precision health and clinical intervention.
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