Your browser doesn't support javascript.
loading
GWAS Explorer: an open-source tool to explore, visualize, and access GWAS summary statistics in the PLCO Atlas.
Machiela, Mitchell J; Huang, Wen-Yi; Wong, Wendy; Berndt, Sonja I; Sampson, Joshua; De Almeida, Jonas; Abubakar, Mustapha; Hislop, Jada; Chen, Kai-Ling; Dagnall, Casey; 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; Garcia-Closas, Montserrat; Freedman, Neal D.
Affiliation
  • Machiela MJ; Division of Cancer Epidemiology and Genetics (DCEG), National Cancer Institute (NCI), National Institutes of Health (NIH), Rockville, USA. mitchell.machiela@nih.gov.
  • Huang WY; Division of Cancer Epidemiology and Genetics (DCEG), National Cancer Institute (NCI), National Institutes of Health (NIH), Rockville, USA.
  • Wong W; Division of Cancer Epidemiology and Genetics (DCEG), National Cancer Institute (NCI), National Institutes of Health (NIH), Rockville, USA.
  • Berndt SI; Division of Cancer Epidemiology and Genetics (DCEG), National Cancer Institute (NCI), National Institutes of Health (NIH), Rockville, USA.
  • Sampson J; Division of Cancer Epidemiology and Genetics (DCEG), National Cancer Institute (NCI), National Institutes of Health (NIH), Rockville, USA.
  • De Almeida J; Division of Cancer Epidemiology and Genetics (DCEG), National Cancer Institute (NCI), National Institutes of Health (NIH), Rockville, USA.
  • Abubakar M; Division of Cancer Epidemiology and Genetics (DCEG), National Cancer Institute (NCI), National Institutes of Health (NIH), Rockville, USA.
  • Hislop J; Division of Cancer Epidemiology and Genetics (DCEG), National Cancer Institute (NCI), National Institutes of Health (NIH), Rockville, USA.
  • Chen KL; Essential Software Inc., Center for Biomedical Informatics and Information Technology, NCI, Rockville, USA.
  • Dagnall C; Cancer Genomics Research Laboratory, DCEG, NCI, Frederick National Laboratory for Cancer Research (FNLCR), Leidos Biomedical Research, Inc., Rockville, USA.
  • Diaz-Mayoral N; BioProcessing and Trial Logistics Laboratory, FNLCR, Leidos Biomedical Research, Inc. Division of Cancer Prevention, NCI, NIH, Rockville, USA.
  • Ferrell M; NCI at Frederick Central Repository, American Type Culture Collection, Rockville, USA.
  • Furr M; Information Management Services, Inc., Danbury, USA.
  • Gonzalez A; NCI at Frederick Central Repository, American Type Culture Collection, Rockville, USA.
  • Hicks B; Cancer Genomics Research Laboratory, DCEG, NCI, Frederick National Laboratory for Cancer Research (FNLCR), Leidos Biomedical Research, Inc., Rockville, USA.
  • Hubbard AK; Division of Cancer Epidemiology and Genetics (DCEG), National Cancer Institute (NCI), National Institutes of Health (NIH), Rockville, USA.
  • Hutchinson A; Cancer Genomics Research Laboratory, DCEG, NCI, Frederick National Laboratory for Cancer Research (FNLCR), Leidos Biomedical Research, Inc., Rockville, USA.
  • Jiang K; Essential Software Inc., Center for Biomedical Informatics and Information Technology, NCI, Rockville, USA.
  • Jones K; Cancer Genomics Research Laboratory, DCEG, NCI, Frederick National Laboratory for Cancer Research (FNLCR), Leidos Biomedical Research, Inc., Rockville, USA.
  • Liu J; Cancer Genomics Research Laboratory, DCEG, NCI, Frederick National Laboratory for Cancer Research (FNLCR), Leidos Biomedical Research, Inc., Rockville, USA.
  • Loftfield E; Division of Cancer Epidemiology and Genetics (DCEG), National Cancer Institute (NCI), National Institutes of Health (NIH), Rockville, USA.
  • Loukissas J; Division of Cancer Epidemiology and Genetics (DCEG), National Cancer Institute (NCI), National Institutes of Health (NIH), Rockville, USA.
  • Mabie J; Information Management Services, Inc., Danbury, USA.
  • Merkle S; Information Management Services, Inc., Danbury, USA.
  • Miller E; Division of Cancer Prevention, NCI, NIH, Rockville, USA.
  • Minasian LM; Division of Cancer Prevention, NCI, NIH, Rockville, USA.
  • Nordgren E; NCI at Frederick Central Repository, American Type Culture Collection, Rockville, USA.
  • Park B; Essential Software Inc., Center for Biomedical Informatics and Information Technology, NCI, Rockville, USA.
  • Pinsky P; Division of Cancer Prevention, NCI, NIH, Rockville, USA.
  • Riley T; Information Management Services, Inc., Danbury, USA.
  • Sandoval L; Division of Cancer Epidemiology and Genetics (DCEG), National Cancer Institute (NCI), National Institutes of Health (NIH), Rockville, USA.
  • Saxena N; Division of Cancer Prevention, NCI, NIH, Rockville, USA.
  • Vogt A; Cancer Genomics Research Laboratory, DCEG, NCI, Frederick National Laboratory for Cancer Research (FNLCR), Leidos Biomedical Research, Inc., Rockville, USA.
  • Wang J; Cancer Genomics Research Laboratory, DCEG, NCI, Frederick National Laboratory for Cancer Research (FNLCR), Leidos Biomedical Research, Inc., Rockville, USA.
  • Williams C; Information Management Services, Inc., Danbury, USA.
  • Wright P; Information Management Services, Inc., Danbury, USA.
  • Yeager M; Cancer Genomics Research Laboratory, DCEG, NCI, Frederick National Laboratory for Cancer Research (FNLCR), Leidos Biomedical Research, Inc., Rockville, USA.
  • Zhu B; Cancer Genomics Research Laboratory, DCEG, NCI, Frederick National Laboratory for Cancer Research (FNLCR), Leidos Biomedical Research, Inc., Rockville, USA.
  • Zhu C; Division of Cancer Prevention, NCI, NIH, Rockville, USA.
  • Chanock SJ; Division of Cancer Epidemiology and Genetics (DCEG), National Cancer Institute (NCI), National Institutes of Health (NIH), Rockville, USA.
  • Garcia-Closas M; Division of Cancer Epidemiology and Genetics (DCEG), National Cancer Institute (NCI), National Institutes of Health (NIH), Rockville, USA.
  • Freedman ND; Division of Cancer Epidemiology and Genetics (DCEG), National Cancer Institute (NCI), National Institutes of Health (NIH), Rockville, USA.
Sci Data ; 10(1): 25, 2023 01 12.
Article in En | MEDLINE | ID: mdl-36635305
ABSTRACT
The 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.
Subject(s)
Fulltext
Add to My VHL
Print
XML
PubMed Links
Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Ovarian Neoplasms / Genome-Wide Association Study Type of study: Observational_studies / Risk_factors_studies Limits: Female / Humans / Male Language: En Journal: Sci Data Year: 2023 Document type: Article Affiliation country: United States
Fulltext
Add to My VHL
Print
XML
PubMed Links
Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Ovarian Neoplasms / Genome-Wide Association Study Type of study: Observational_studies / Risk_factors_studies Limits: Female / Humans / Male Language: En Journal: Sci Data Year: 2023 Document type: Article Affiliation country: United States