The UCLA ATLAS Community Health Initiative: Promoting precision health research in a diverse biobank

Ruth Johnson; Yi Ding; Arjun Bhattacharya; Sergey Knyazev; Alec Chiu; Clara Lajonchere; Daniel H. Geschwind; Bogdan Pasaniuc

Cell Genomics (Jan 2023)

The UCLA ATLAS Community Health Initiative: Promoting precision health research in a diverse biobank

Ruth Johnson,
Yi Ding,
Arjun Bhattacharya,
Sergey Knyazev,
Alec Chiu,
Clara Lajonchere,
Daniel H. Geschwind,
Bogdan Pasaniuc

Affiliations

Ruth Johnson: Department 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 author
Yi Ding: Bioinformatics 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
Arjun Bhattacharya: Department 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, USA
Sergey Knyazev: Department of Pathology and Laboratory Medicine, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA 90095, USA
Alec Chiu: Bioinformatics Interdepartmental Program, University of California, Los Angeles, Los Angeles, CA 90095, USA
Clara Lajonchere: 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, USA
Daniel H. Geschwind: Department 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, USA
Bogdan Pasaniuc: Bioinformatics 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 author

Journal volume & issue: Vol. 3, no. 1
p. 100243

Abstract

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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.

Published in Cell Genomics

ISSN: 2666-979X (Online)
Publisher: Elsevier
Country of publisher: United States
LCC subjects: Science: Biology (General): Genetics; Medicine: Internal medicine
Website: https://www.cell.com/cell-genomics/home

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Abstract

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