GWAS Explorer: an open-source tool to explore, visualize, and access GWAS summary statistics in the PLCO Atlas

Author:

Machiela Mitchell J.ORCID,Huang Wen-YiORCID,Wong Wendy,Berndt Sonja I.,Sampson Joshua,De Almeida Jonas,Abubakar Mustapha,Hislop Jada,Chen Kai-Ling,Dagnall CaseyORCID,Diaz-Mayoral Norma,Ferrell Mary,Furr Michael,Gonzalez Alex,Hicks Belynda,Hubbard Aubrey K.,Hutchinson Amy,Jiang Kevin,Jones Kristine,Liu Jia,Loftfield Erikka,Loukissas Jennifer,Mabie Jerome,Merkle Shannon,Miller Eric,Minasian Lori M.,Nordgren Ellen,Park Brian,Pinsky Paul,Riley Thomas,Sandoval Lorena,Saxena Neeraj,Vogt Aurelie,Wang Jiahui,Williams Craig,Wright Patrick,Yeager Meredith,Zhu Bin,Zhu Claire,Chanock Stephen J.ORCID,Garcia-Closas Montserrat,Freedman Neal D.

Abstract

AbstractThe Prostate, Lung, Colorectal and Ovarian (PLCO) Cancer Screening Trial is a prospective cohort study of nearly 155,000 U.S. volunteers aged 55–74 at enrollment in 1993–2001. We developed the PLCO Atlas Project, a large resource for multi-trait genome-wide association studies (GWAS), by genotyping participants with available DNA and genomic consent. Genotyping on high-density arrays and imputation was performed, and GWAS were conducted using a custom semi-automated pipeline. Association summary statistics were generated from a total of 110,562 participants of European, African and Asian ancestry. Application programming interfaces (APIs) and open-source software development kits (SKDs) enable exploring, visualizing and open data access through the PLCO Atlas GWAS Explorer website, promoting Findable, Accessible, Interoperable, and Re-usable (FAIR) principles. Currently the GWAS Explorer hosts association data for 90 traits and >78,000,000 genomic markers, focusing on cancer and cancer-related phenotypes. New traits will be posted as association data becomes available. The PLCO Atlas is a FAIR resource of high-quality genetic and phenotypic data with many potential reuse opportunities for cancer research and genetic epidemiology.

Funder

U.S. Department of Health & Human Services | NIH | NCI | Division of Cancer Epidemiology and Genetics, National Cancer Institute

Publisher

Springer Science and Business Media LLC

Subject

Library and Information Sciences,Statistics, Probability and Uncertainty,Computer Science Applications,Education,Information Systems,Statistics and Probability

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