ArticleG3 (Bethesda, Md.)2020
Polygenic Scores for Height in Admixed Populations.
Article in G3 (Bethesda, Md.), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 70 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
70 citing papers in PubMed, 1 synthesis or guideline pooled it, 143 citations in OpenAlex.
- Causal effects on complex traits are similar for common variants across segments of different continental ancestries within admixed individuals.Nature genetics · 2023Pooled it
- Investigations on transferability of polygenic risk scores depending on demography and dominance coefficients.HGG advances · 2026Article
- Explicitly modeling genetic ancestry to improve polygenic prediction accuracy for height in a large, admixed cohort of US Latinos: Findings from HCHS/SOL.HGG advances · 2026Article
- DiscoDivas: Leveraging genetic-ancestry continuum information to interpolate PRS for admixed populations.American journal of human genetics · 2026Article
- Polygenic Risk Scores for Incident Dementia in the Multi-Ethnic Study of Atherosclerosis.Genetic epidemiology · 2026Article
- Insights into the Cross-Population Transferability of Polygenic Scores for Substance Use.Behavior genetics · 2026Article
- Incorporating polygenic risk scores and social determinants of health across populations: Considerations and best practices in research.American journal of human genetics · 2026Review
- Diversity and Representation in Cardiovascular Research: Evidence Gaps, Emerging Models, and Policy Implications.International journal of environmental research and public health · 2026Review
- Hidden structure in polygenic scores and the challenge of disentangling ancestry interactions in admixed populations.Genetics · 2025Article
- Recommendations for responsible use of population descriptors in polygenic risk score development.Nature genetics · 2025Review
- Leveraging local ancestry and cross-ancestry genetic architecture to improve genetic prediction of complex traits in admixed populations.American journal of human genetics · 2025Article
- DiscoDivas: Leveraging genetic ancestry continuum information to interpolate PRS for admixed populations.medRxiv : the preprint server for health sciences · 2025Article
- Population molecular genetics in Brazil: From genomic databases and research to the implementation of precision medicine.Journal of community genetics · 2025Review
- Opportunities and challenges of local ancestry in genetic association analyses.American journal of human genetics · 2025Review
- Polygenic height prediction for the Han Chinese in Taiwan.NPJ genomic medicine · 2025Article
- Fine-scale population structure and widespread conservation of genetic effect sizes between human groups across traits.Nature genetics · 2025Article
- Genetic Prediction Modeling in Large Cohort Studies via Boosting Targeted Loss Functions.Statistics in medicine · 2024Article
- Assessing the predictive efficacy of European-based systolic blood pressure polygenic risk scores in diverse Brazilian cohorts.Scientific reports · 2024Article
- Genetics of Latin American Diversity Project: Insights into population genetics and association studies in admixed groups in the Americas.Cell genomics · 2024Article
- Methodologies underpinning polygenic risk scores estimation: a comprehensive overview.Human genetics · 2024Review
10 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
Abstract
Polygenic risk scores (PRS) use the results of genome-wide association studies (GWAS) to predict quantitative phenotypes or disease risk at an individual level, and provide a potential route to the use of genetic data in personalized medical care. However, a major barrier to the use of PRS is that the majority of GWAS come from cohorts of European ancestry. The predictive power of PRS constructed from these studies is substantially lower in non-European ancestry cohorts, although the reasons for this are unclear. To address this question, we investigate the performance of PRS for height in cohorts with admixed African and European ancestry, allowing us to evaluate ancestry-related differences in PRS predictive accuracy while controlling for environment and cohort differences. We first show that the predictive accuracy of height PRS increases linearly with European ancestry and is partially explained by European ancestry segments of the admixed genomes. We show that recombination rate, differences in allele frequencies, and differences in marginal effect sizes across ancestries all contribute to the decrease in predictive power, but none of these effects explain the decrease on its own. Finally, we demonstrate that prediction for admixed individuals can be improved by using a linear combination of PRS that includes ancestry-specific effect sizes, although this approach is at present limited by the small size of non-European ancestry discovery cohorts.
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What OpenQuestion holds
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.