ArticleAmerican journal of human genetics2017
Leveraging Multi-ethnic Evidence for Risk Assessment of Quantitative Traits in Minority Populations.
Article in American journal of human genetics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 55 papers, 2 of them syntheses that pooled it.
What it found
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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.
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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
55 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- A systematic review of gene-by-intervention studies of alcohol and other substance use.Development and psychopathology · 2021Pooled it
- Incorporating European GWAS findings improve polygenic risk prediction accuracy of breast cancer among East Asians.Genetic epidemiology · 2021Pooled it
- All of Us diversity and scale yield context-dependent improvements in polygenic prediction.Nature genetics · 2026Article
- Extending genome-wide association studies to admixed cohorts with high degrees of relatedness.Nature genetics · 2026Article
- Evidence standards for multi-ancestry polygenic prediction.Genome biology · 2026Review
- Genetically Informed Research Designs in Perinatal Pharmacoepidemiology: A Methodological Overview.Drug safety · 2026Review
- Data Representation Bias and Conditional Distribution Shift Drive Predictive Performance Disparities in Multi-Population Machine Learning.bioRxiv : the preprint server for biology · 2026Article
- Methodological opportunities in genomic data analysis to advance health equity.Nature reviews. Genetics · 2025Review
- All of Us diversity and scale improve polygenic prediction contextually with greatest improvements for under-represented populations.bioRxiv : the preprint server for biology · 2025Article
- Advancements and limitations in polygenic risk score methods for genomic prediction: a scoping review.Human genetics · 2024Article
- Polygenic prediction for underrepresented populations through transfer learning by utilizing genetic similarity shared with European populations.Briefings in bioinformatics · 2024Article
- Optimizing clinico-genomic disease prediction across ancestries: a machine learning strategy with Pareto improvement.Genome medicine · 2024Article
- Applying polygenic risk score methods to pharmacogenomics GWAS: challenges and opportunities.Briefings in bioinformatics · 2023Article
- Transfer learning with false negative control improves polygenic risk prediction.PLoS genetics · 2023Article
- Polygenic prediction across populations is influenced by ancestry, genetic architecture, and methodology.Cell genomics · 2023Article
- Extremely sparse models of linkage disequilibrium in ancestrally diverse association studies.Nature genetics · 2023Article
- Strategies for the Genomic Analysis of Admixed Populations.Annual review of biomedical data science · 2023Review
- Addressing the Challenge of Biomedical Data Inequality: An Artificial Intelligence Perspective.Annual review of biomedical data science · 2023Review
- Genetic dissection of maize (Zea mays L.) chlorophyll content using multi-locus genome-wide association studies.BMC genomics · 2023Article
- Similarity and diversity of genetic architecture for complex traits between East Asian and European populations.BMC genomics · 2023Article
Corrections and comments
- Erratum issued
Authors and funding
5 authors.
Funding
Abstract
An essential component of precision medicine is the ability to predict an individual's risk of disease based on genetic and non-genetic factors. For complex traits and diseases, assessing the risk due to genetic factors is challenging because it requires knowledge of both the identity of variants that influence the trait and their corresponding allelic effects. Although the set of risk variants and their allelic effects may vary between populations, a large proportion of these variants were identified based on studies in populations of European descent. Heterogeneity in genetic architecture underlying complex traits and diseases, while broadly acknowledged, remains poorly characterized. Ignoring such heterogeneity likely reduces predictive accuracy for minority individuals. In this study, we propose an approach, called XP-BLUP, which ameliorates this ethnic disparity by combining trans-ethnic and ethnic-specific information. We build a polygenic model for complex traits that distinguishes candidate trait-relevant variants from the rest of the genome. The set of candidate variants are selected based on studies in any human population, yet the allelic effects are evaluated in a population-specific fashion. Simulation studies and real data analyses demonstrate that XP-BLUP adaptively utilizes trans-ethnic information and can substantially improve predictive accuracy in minority populations. At the same time, our study highlights the importance of the continued expansion of minority cohorts.
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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.