ArticleNature medicine2023
Disease risk and healthcare utilization among ancestrally diverse groups in the Los Angeles region.
Article in Nature medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 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
10 citing papers in PubMed.
- Large-scale admixture mapping in the All of Us Research Program improves the characterization of cross-population phenotypic differences.Nature communications · 2026Article
- Article
- A spectral component approach leveraging identity-by-descent graphs to address recent population structure in genomic analysis.Genome research · 2026Article
- Topological stratification of continuous genetic variation in large biobanks.PLoS genetics · 2026Article
- Inference of admixture in dogs from whole genome sequences.GigaByte (Hong Kong, China) · 2026Article
- SPC: a SPectral Component approach leveraging Identity-by-Descent graphs to address recent population structure in genomic analysis.medRxiv : the preprint server for health sciences · 2025Article
- Genetic risk effects on psychiatric disorders act in sets.medRxiv : the preprint server for health sciences · 2025Article
- The multi-scale complexity of human genetic variation beyond continental groups.bioRxiv : the preprint server for biology · 2024Article
- Precision public health in the era of genomics and big data.Nature medicine · 2024Review
- Cell-type deconvolution of bulk-blood RNA-seq reveals biological insights into neuropsychiatric disorders.American journal of human genetics · 2024Article
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Authors and funding
19 authors.
Funding
Abstract
An individual's disease risk is affected by the populations that they belong to, due to shared genetics and environmental factors. The study of fine-scale populations in clinical care is important for identifying and reducing health disparities and for developing personalized interventions. To assess patterns of clinical diagnoses and healthcare utilization by fine-scale populations, we leveraged genetic data and electronic medical records from 35,968 patients as part of the UCLA ATLAS Community Health Initiative. We defined clusters of individuals using identity by descent, a form of genetic relatedness that utilizes shared genomic segments arising due to a common ancestor. In total, we identified 376 clusters, including clusters with patients of Afro-Caribbean, Puerto Rican, Lebanese Christian, Iranian Jewish and Gujarati ancestry. Our analysis uncovered 1,218 significant associations between disease diagnoses and clusters and 124 significant associations with specialty visits. We also examined the distribution of pathogenic alleles and found 189 significant alleles at elevated frequency in particular clusters, including many that are not regularly included in population screening efforts. Overall, this work progresses the understanding of health in understudied communities and can provide the foundation for further study into health inequities.
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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.