The UCLA ATLAS Community Health Initiative: Promoting precision health research in a diverse biobank
Summary: 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...
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| Format: | Article |
| Language: | English |
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Elsevier
2023-01-01
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| Series: | Cell Genomics |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2666979X22002063 |
| _version_ | 1797954124405276672 |
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| author | Ruth Johnson Yi Ding Arjun Bhattacharya Sergey Knyazev Alec Chiu Clara Lajonchere Daniel H. Geschwind Bogdan Pasaniuc |
| author_facet | Ruth Johnson Yi Ding Arjun Bhattacharya Sergey Knyazev Alec Chiu Clara Lajonchere Daniel H. Geschwind Bogdan Pasaniuc |
| author_sort | Ruth Johnson |
| collection | DOAJ |
| description | Summary: 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. |
| first_indexed | 2024-04-10T23:13:42Z |
| format | Article |
| id | doaj.art-c4f22e55703c4c1b8850fd5ace4e6da3 |
| institution | Directory Open Access Journal |
| issn | 2666-979X |
| language | English |
| last_indexed | 2024-04-10T23:13:42Z |
| publishDate | 2023-01-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Cell Genomics |
| spelling | doaj.art-c4f22e55703c4c1b8850fd5ace4e6da32023-01-13T04:17:09ZengElsevierCell Genomics2666-979X2023-01-0131100243The UCLA ATLAS Community Health Initiative: Promoting precision health research in a diverse biobankRuth Johnson0Yi Ding1Arjun Bhattacharya2Sergey Knyazev3Alec Chiu4Clara Lajonchere5Daniel H. Geschwind6Bogdan Pasaniuc7Department of Computer Science, University of California, Los Angeles, Los Angeles, CA 90095, USA; Department of Pathology and Laboratory Medicine, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA 90095, USA; Corresponding authorBioinformatics Interdepartmental Program, University of California, Los Angeles, Los Angeles, CA 90095, USA; Department of Pathology and Laboratory Medicine, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA 90095, USADepartment of Pathology and Laboratory Medicine, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA 90095, USA; Institute for Quantitative and Computational Biosciences, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA 90095, USADepartment of Pathology and Laboratory Medicine, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA 90095, USABioinformatics Interdepartmental Program, University of California, Los Angeles, Los Angeles, CA 90095, USAInstitute of Precision Health, University of California, Los Angeles, Los Angeles, CA 90095, USA; Program in Neurogenetics, Department of Neurology, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA 90095, USADepartment of Human Genetics, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA 90095, USA; Institute of Precision Health, University of California, Los Angeles, Los Angeles, CA 90095, USA; Program in Neurogenetics, Department of Neurology, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA 90095, USABioinformatics Interdepartmental Program, University of California, Los Angeles, Los Angeles, CA 90095, USA; Department of Pathology and Laboratory Medicine, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA 90095, USA; Department of Human Genetics, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA 90095, USA; Department of Computational Medicine, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA 90095, USA; Institute of Precision Health, University of California, Los Angeles, Los Angeles, CA 90095, USA; Corresponding authorSummary: 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.http://www.sciencedirect.com/science/article/pii/S2666979X22002063electronic health recordsbiobanksmulti-ancestryGlobal-Biobank Meta-analysis InitiativeGWASPheWAS |
| spellingShingle | Ruth Johnson Yi Ding Arjun Bhattacharya Sergey Knyazev Alec Chiu Clara Lajonchere Daniel H. Geschwind Bogdan Pasaniuc The UCLA ATLAS Community Health Initiative: Promoting precision health research in a diverse biobank Cell Genomics electronic health records biobanks multi-ancestry Global-Biobank Meta-analysis Initiative GWAS PheWAS |
| title | The UCLA ATLAS Community Health Initiative: Promoting precision health research in a diverse biobank |
| title_full | The UCLA ATLAS Community Health Initiative: Promoting precision health research in a diverse biobank |
| title_fullStr | The UCLA ATLAS Community Health Initiative: Promoting precision health research in a diverse biobank |
| title_full_unstemmed | The UCLA ATLAS Community Health Initiative: Promoting precision health research in a diverse biobank |
| title_short | The UCLA ATLAS Community Health Initiative: Promoting precision health research in a diverse biobank |
| title_sort | ucla atlas community health initiative promoting precision health research in a diverse biobank |
| topic | electronic health records biobanks multi-ancestry Global-Biobank Meta-analysis Initiative GWAS PheWAS |
| url | http://www.sciencedirect.com/science/article/pii/S2666979X22002063 |
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