ArticleCell genomics2023
The UCLA ATLAS Community Health Initiative: Promoting precision health research in a diverse biobank.
Article in Cell genomics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.
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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.
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.
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Who cites it
27 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Polygenic scores for tobacco use provide insights into systemic health risks in a diverse EHR-linked biobank in Los Angeles.Translational psychiatry · 2024Pooled it
- Article
- Fifteen Years of the Genome Analysis Toolkit as the De Facto Standard in Short-Read Variant Calling.International journal of molecular sciences · 2026Review
- Inclusion bias affects common variant discovery and replication in a health-system linked biobank.American journal of human genetics · 2026Article
- Multi-task learning identifies shared genetic risk for late-onset epilepsy and alzheimer's disease.Scientific reports · 2025Article
- Advances in genomic and pharmacokinetic profiling for clinical stratification of metastatic breast cancer.Discover oncology · 2025Article
- Residual allelic activity likely underlies the low rates of disease expression for predicted loss-of-function variants in population-scale biobanks.American journal of human genetics · 2025Article
- Fair positive unlabeled learning for predicting undiagnosed Alzheimer's disease in diverse electronic health records.NPJ digital medicine · 2025Article
- Genetics and context for precision health in Greater Boston.Nature communications · 2025Article
- Boosting the Power of Rare Variant Association Studies by Imputation Using Large-scale Sequencing Population.Genomics, proteomics & bioinformatics · 2025Article
- Review
- Kinship Decouple and Phenotype Selection (KDPS): a tool for phenotype-aware decoupling of related subjects.Briefings in bioinformatics · 2025Article
- Exploring depression treatment response by using polygenic risk scoring across diverse populations.American journal of human genetics · 2025Article
- Interpreting SNP heritability in admixed populations.Genetics · 2025Article
- Clinical decision support using pseudo-notes from multiple streams of EHR data.NPJ digital medicine · 2025Article
- Association between plausible genetic factors and weight loss from GLP1-RA and bariatric surgery.Nature medicine · 2025Article
- Interpreting SNP heritability in admixed populations.bioRxiv : the preprint server for biology · 2025Article
- Phenotypic evaluation of deep learning models for classifying germline variant pathogenicity.NPJ precision oncology · 2024Article
- Scalable summary-statistics-based heritability estimation method with individual genotype level accuracy.Genome research · 2024Article
- Improving genetic risk modeling of dementia from real-world data in underrepresented populations.Communications biology · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
Abstract
The UCLA ATLAS Community Health Initiative (ATLAS) has an initial target to recruit 150,000 participants from across the UCLA Health system with the goal of creating a genomic database to accelerate precision medicine efforts in California. This initiative includes a biobank embedded within the UCLA Health system that comprises de-identified genomic data linked to electronic health records (EHRs). The first freeze of data from September 2020 contains 27,987 genotyped samples imputed to 7.9 million SNPs across the genome and is linked with de-identified versions of the EHRs from UCLA Health. Here, we describe a centralized repository of the genotype data and provide tools and pipelines to perform genome- and phenome-wide association studies across a wide range of EHR-derived phenotypes and genetic ancestry groups. We demonstrate the utility of this resource through the analysis of 7 well-studied traits and recapitulate many previous genetic and phenotypic associations.
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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.