ReviewAnnual review of genomics and human genetics2019
The Future of Genomic Studies Must Be Globally Representative: Perspectives from PAGE.
Review in Annual review of genomics and human genetics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.
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
39 citing papers in PubMed, 56 citations in OpenAlex.
- Local ancestry-informed rare variant burden testing improves gene discovery in admixed populations.medRxiv : the preprint server for health sciences · 2026Article
- Trust, mistrust, and the promise of AI in genomics for African populations.American journal of human genetics · 2026Review
- Bridging ancestry gaps in genomic risk prediction with tabular foundation models.Bioinformatics (Oxford, England) · 2026Article
- A candidate-variant association study of self-reported asthma in mothers of the Cebu Longitudinal Health and Nutrition Survey (CLHNS) cohort.BMC genomic data · 2026Article
- Bridging Ancestry Gaps in Genomic Risk Prediction with Tabular Foundation Models.bioRxiv : the preprint server for biology · 2026Article
- Data Representation Bias and Conditional Distribution Shift Drive Predictive Performance Disparities in Multi-Population Machine Learning.bioRxiv : the preprint server for biology · 2026Article
- Genetic Determinants of Telomere Length and Their Role in Human Disease: Molecular Mechanisms and Underrepresented Populations' Perspectives.Biomedicines · 2026Review
- Multi-trait GWAS reveals divergent local and polygenic architecture of cardiovascular traits across African and European ancestries in the UK Biobank.Communications biology · 2026Article
- Mapping epigenetic gene variant dynamics: comparative analysis of frequency, functional impact and trait associations in African and European populations.Scientific reports · 2026Article
- Strategies in Global Ancestry and Local Ancestry Inference.Current protocols · 2026Article
- Precision Medicine: Personalizing Healthcare by Bridging Aging, Genetics, and Global Diversity.Healthcare (Basel, Switzerland) · 2025Review
- Advancements in genetic research by the Hispanic Community Health Study/Study of Latinos: A 10-year retrospective review.HGG advances · 2025Review
- Study research protocol for Phenome India-CSIR Health Cohort Knowledgebase: A prospective multi-modal follow-up study on a nationwide employee cohort.Biology methods & protocols · 2025Article
- Article
- Optimizing clinico-genomic disease prediction across ancestries: a machine learning strategy with Pareto improvement.Genome medicine · 2024Article
- Building a vertically integrated genomic learning health system: The biobank at the Colorado Center for Personalized Medicine.American journal of human genetics · 2024Article
- Genetic Diversity Landscape in African Population: A Review of Implications for Personalized and Precision Medicine.Pharmacogenomics and personalized medicine · 2024Review
- Population diversity and equity in the genomic era: going global to return to the local.Journal of community genetics · 2023Review
- Review
- Strategies for the Genomic Analysis of Admixed Populations.Annual review of biomedical data science · 2023Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 7 institutions in 1 country.
Funding
Abstract
The past decade has seen a technological revolution in human genetics that has empowered population-level investigations into genetic associations with phenotypes. Although these discoveries rely on genetic variation across individuals, association studies have overwhelmingly been performed in populations of European descent. In this review, we describe limitations faced by single-population studies and provide an overview of strategies to improve global representation in existing data sets and future human genomics research via diversity-focused, multiethnic studies. We highlight the successes of individual studies and meta-analysis consortia that have provided unique knowledge. Additionally, we outline the approach taken by the Population Architecture Using Genomics and Epidemiology (PAGE) study to develop best practices for performing genetic epidemiology in multiethnic contexts. Finally, we discuss how limiting investigations to single populations impairs findings in the clinical domain for both rare-variant identification and genetic risk prediction.
Indexed as
Identifiers
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.