ArticleHuman molecular genetics2023
Ethnic, gender and other sociodemographic biases in genome-wide association studies for the most burdensome non-communicable diseases: 2005-2022.
Article in Human molecular genetics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers.
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Who cites it
46 citing papers in PubMed.
- Pipettes and Pipelines: The Weapons of Omics Sciences for a New Age of Clinical Studies.Current issues in molecular biology · 2026Review
- Improving Polygenic Risk Prediction for Atherosclerotic Cardiovascular Disease in East Asian Populations.JACC. Asia · 2026Review
- Barrett's esophagus-associated genetic loci in African Americans: a case-control study using the All of Us Research Program.European journal of gastroenterology & hepatology · 2026Observational
- Causal inference in psychiatric research: how to critically evaluate and interpret mendelian randomization studies.Molecular psychiatry · 2026Review
- Multiple instance fine-mapping: Predicting causal regulatory variants with a deep sequence model.PLoS genetics · 2026Article
- A reanalysis of a genome-wide association study on breast cancer in Asian populations using the SG10K_Health reference panel for imputation: a multi-Centre case-control analysis.Human molecular genetics · 2026Article
- In-silico identification of genetic variants associated with chronic lymphocytic leukemia for diagnostic and therapeutic applications.Scientific reports · 2026Article
- Type 2 diabetes mellitus.Nature reviews. Disease primers · 2026Review
- Ancestry-specific performance of variant effect predictors in clinical variant classification.bioRxiv : the preprint server for biology · 2026Article
- Ethnic-specific effects of the LILRB2-LILRB5 locus and newly identified risk loci for Alzheimer's disease in the East Asian population.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026Article
- Evaluating genetic-based disease prediction approaches through simulation.Human genetics · 2026Article
- Breast cancer clustering integrating complete gene expression profiles and genetic ancestry.PloS one · 2026Article
- Review
- Review
- Ethnic diversity in precision medicine: a reality or an aspiration?Diabetologia · 2025Review
- The impact of artificial intelligence on biomarker discovery.Emerging topics in life sciences · 2025Article
- Intersecting transcriptomic landscapes of hypertension and kidney function in African American women.American journal of physiology. Renal physiology · 2025Article
- Data- and knowledge-derived functional landscape of human solute carriers.Molecular systems biology · 2025Article
- Experiences of participants with undiagnosed diseases and hereditary cancers during the initial phase of the Hong Kong genome project: a mixed-methods study.Human genomics · 2025Article
- The breadth and impact of the Global Lipids Genetics Consortium.Current opinion in lipidology · 2025Review
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Authors and funding
2 authors.
Funding
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Abstract
introductionSince 2005, disease-related human genetic diversity has been intensively characterized using genome-wide association studies (GWAS). Understanding how and by whom this work was performed may yield valuable insights into the generalizability of GWAS discoveries to global populations and how high-impact genetics research can be equitably sustained in the future. MATERIALS AND
methodsWe mined the NHGRI-EBI GWAS Catalog (2005-2022) for the most burdensome non-communicable causes of death worldwide. We then compared (i) the geographic, ethnic and socioeconomic characteristics of study populations; (ii) the geographic and socioeconomic characteristics of the regions within which researchers were located and (iii) the extent to which male and female investigators undertook and led the research.
resultsThe research institutions leading the work are often US-based (37%), while the origin of samples is more diverse, with the Nordic countries having contributed as much data to GWAS as the United States (~17% of data). The majority of first (60%), senior (75%) and all (66%) authors are male; although proportions vary by disease and leadership level, male co-authors are the ubiquitous majority. The vast majority (91%) of complex trait GWAS has been performed in European ancestry populations, with cohorts and scientists predominantly located in medium-to-high socioeconomically ranked countries; apart from East Asians (~5%), other ethnicities rarely feature in published GWAS. See: https://hugofitipaldi.shinyapps.io/gwas_results/ to browse all results.
conclusionMost GWAS cohorts are of European ancestry residing outside the United States, with a smaller yet meaningful proportion of East Asian ancestry. Papers describing GWAS research are predominantly authored by male scientists based in medium-to-high income countries.
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