ArticleGenetic epidemiology2017
Multiethnic polygenic risk scores improve risk prediction in diverse populations.
Article in Genetic epidemiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 199 papers, 10 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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Who cites it
199 citing papers in PubMed, 10 syntheses or guidelines pooled it.
- Genetic polymorphisms and hypertension in Indian populations: a systematic review and integrative bioinformatics approach.BMC medical genomics · 2026Pooled it
- Multi-ancestry genome-wide meta-analysis of 56,241 individuals identifies known and novel cross-population and ancestry-specific associations as novel risk loci for Alzheimer's disease.Genome biology · 2025Pooled it
- Pharmacogenomic scores in psychiatry: systematic review of current evidence.Translational psychiatry · 2024Pooled it
- Genome-wide association study and trans-ethnic meta-analysis identify novel susceptibility loci for type 2 diabetes mellitus.BMC medical genomics · 2024Pooled it
- Glaucoma Genetic Risk Scores in the Million Veteran Program.Ophthalmology · 2022Pooled it
- Multi-ancestry genome-wide association analyses identify novel genetic mechanisms in rheumatoid arthritis.Nature genetics · 2022Pooled it
- Polygenic Prediction of Type 2 Diabetes in Africa.Diabetes care · 2022Pooled it
- Incorporating functional priors improves polygenic prediction accuracy in UK Biobank and 23andMe data sets.Nature communications · 2021Pooled 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
- Genotype-environment correlation by intervention effects underlying middle childhood peer rejection and associations with adolescent marijuana use.Development and psychopathology · 2022Trial
- Evaluating the genetic susceptibility to peer reported bullying behaviors.Psychiatry research · 2018Trial
- Correlations between causal effect sizes of proximal SNPs vary with functional annotations and implicate stabilizing selection.Nature genetics · 2026Article
- Estimating genetic correlation jointly using individual-level and summary-level GWAS data.Nature communications · 2026Article
- Cross-ancestry polygenic risk scores enhance Alzheimer's disease risk prediction in multiethnic cohorts.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026Article
- Evidence standards for multi-ancestry polygenic prediction.Genome biology · 2026Review
- Contextualizing the Utility of Polygenic Risk Scores using Absolute Risk Models in Diverse Ancestry Populations.medRxiv : the preprint server for health sciences · 2026Article
- MPGK: A user-friendly tool for Mendelian randomization, polygenic risk score, Geno Ontology, and the Kyoto Encyclopedia of Genes and Genomes analysis.Chinese medical journal · 2026Article
- Characterizing the Uncertainty, Misclassification and Inconsistency of Polygenic Prediction.medRxiv : the preprint server for health sciences · 2026Article
- Admixture-informed polygenic risk reporting using the ePRS framework.Nature communications · 2026Article
139 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
Methods for genetic risk prediction have been widely investigated in recent years. However, most available training data involves European samples, and it is currently unclear how to accurately predict disease risk in other populations. Previous studies have used either training data from European samples in large sample size or training data from the target population in small sample size, but not both. Here, we introduce a multiethnic polygenic risk score that combines training data from European samples and training data from the target population. We applied this approach to predict type 2 diabetes (T2D) in a Latino cohort using both publicly available European summary statistics in large sample size (N
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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.