Family and personal history of cancer in the All of Us research program for precision medicine

The All of Us ( AoU ) Research Program is making available one of the largest and most diverse collections of health data in the US to researchers. Using the All of Us database, we evaluated family and personal histories of five common types of cancer in 89,453 individuals, comparing these data to 2...

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Vydané v:	PloS one Ročník 18; číslo 7; s. e0288496
Hlavní autori:	Keeler Bruce, Lauryn, Paul, Paulina, Kim, Katherine K., Kim, Jihoon, Keegan, Theresa H. M., Hiatt, Robert A., Ohno-Machado, Lucila
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	United States Public Library of Science 17.07.2023 Public Library of Science (PLoS)
Predmet:	Biology and Life Sciences Breast cancer Cancer Colorectal cancer Data collection Databases, Factual Datasets Diagnosis Electronic health records Ethnicity Evaluation Family medical history Genetic aspects Human subjects Humans Medical research Medical screening Medicine and Health Sciences Medicine, Experimental Neoplasms - genetics Neoplasms - therapy Oncology, Experimental Ovarian cancer Ovaries Population Health Precision Medicine Prostate Prostate cancer Research and Analysis Methods Review boards Statistical analysis Structured Query Language-SQL Surveys Surveys and Questionnaires United States United States > US
ISSN:	1932-6203, 1932-6203
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Abstract	The All of Us ( AoU ) Research Program is making available one of the largest and most diverse collections of health data in the US to researchers. Using the All of Us database, we evaluated family and personal histories of five common types of cancer in 89,453 individuals, comparing these data to 24,305 participants from the 2015 National Health Interview Survey (NHIS). Comparing datasets, we found similar family cancer history (33%) rates, but higher personal cancer history in the AoU dataset (9.2% in AoU vs. 5.11% in NHIS), Methodological ( e . g . survey-versus telephone-based data collection) and demographic variability may explain these between-data differences, but more research is needed.
AbstractList	The All of Us (AoU) Research Program is making available one of the largest and most diverse collections of health data in the US to researchers. Using the All of Us database, we evaluated family and personal histories of five common types of cancer in 89,453 individuals, comparing these data to 24,305 participants from the 2015 National Health Interview Survey (NHIS). Comparing datasets, we found similar family cancer history (33%) rates, but higher personal cancer history in the AoU dataset (9.2% in AoU vs. 5.11% in NHIS), Methodological (e.g. survey-versus telephone-based data collection) and demographic variability may explain these between-data differences, but more research is needed. The All of Us (AoU) Research Program is making available one of the largest and most diverse collections of health data in the US to researchers. Using the All of Us database, we evaluated family and personal histories of five common types of cancer in 89,453 individuals, comparing these data to 24,305 participants from the 2015 National Health Interview Survey (NHIS). Comparing datasets, we found similar family cancer history (33%) rates, but higher personal cancer history in the AoU dataset (9.2% in AoU vs. 5.11% in NHIS), Methodological (e.g. survey-versus telephone-based data collection) and demographic variability may explain these between-data differences, but more research is needed.The All of Us (AoU) Research Program is making available one of the largest and most diverse collections of health data in the US to researchers. Using the All of Us database, we evaluated family and personal histories of five common types of cancer in 89,453 individuals, comparing these data to 24,305 participants from the 2015 National Health Interview Survey (NHIS). Comparing datasets, we found similar family cancer history (33%) rates, but higher personal cancer history in the AoU dataset (9.2% in AoU vs. 5.11% in NHIS), Methodological (e.g. survey-versus telephone-based data collection) and demographic variability may explain these between-data differences, but more research is needed. The All of Us ( AoU ) Research Program is making available one of the largest and most diverse collections of health data in the US to researchers. Using the All of Us database, we evaluated family and personal histories of five common types of cancer in 89,453 individuals, comparing these data to 24,305 participants from the 2015 National Health Interview Survey (NHIS). Comparing datasets, we found similar family cancer history (33%) rates, but higher personal cancer history in the AoU dataset (9.2% in AoU vs. 5.11% in NHIS), Methodological ( e . g . survey-versus telephone-based data collection) and demographic variability may explain these between-data differences, but more research is needed.
Audience	Academic
Author	Keegan, Theresa H. M. Kim, Jihoon Hiatt, Robert A. Ohno-Machado, Lucila Kim, Katherine K. Keeler Bruce, Lauryn Paul, Paulina
AuthorAffiliation	1 Department of Biomedical Informatics, University of California (UC), San Diego, La Jolla, CA, United States of America 4 Department of Epidemiology & Biostatistics, UC San Francisco, San Francisco, CA, United States of America 7 All of Us Research Program, National Institutes of Health, Bethesda, Maryland, United States of America 5 Helen Diller Family Comprehensive Cancer Center, UC San Francisco, San Francisco, CA, United States of America 6 Section of Biomedical Informatics & Data Science, Yale University School of Medicine, New Haven, CT, United States of America 2 Department of Public Health Sciences, UC Davis School of Medicine, Davis, CA, United States of America 3 Division of Hematology and Oncology, Center for Oncology Hematology Outcomes Research and Training, UC Davis School of Medicine, Davis, CA, United States of America IBM Research - Israel, ISRAEL
AuthorAffiliation_xml	– name: 3 Division of Hematology and Oncology, Center for Oncology Hematology Outcomes Research and Training, UC Davis School of Medicine, Davis, CA, United States of America – name: IBM Research - Israel, ISRAEL – name: 2 Department of Public Health Sciences, UC Davis School of Medicine, Davis, CA, United States of America – name: 4 Department of Epidemiology & Biostatistics, UC San Francisco, San Francisco, CA, United States of America – name: 6 Section of Biomedical Informatics & Data Science, Yale University School of Medicine, New Haven, CT, United States of America – name: 7 All of Us Research Program, National Institutes of Health, Bethesda, Maryland, United States of America – name: 1 Department of Biomedical Informatics, University of California (UC), San Diego, La Jolla, CA, United States of America – name: 5 Helen Diller Family Comprehensive Cancer Center, UC San Francisco, San Francisco, CA, United States of America
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BackLink	https://www.ncbi.nlm.nih.gov/pubmed/37459328$$D View this record in MEDLINE/PubMed
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CitedBy_id	crossref_primary_10_1016_j_gimo_2025_103439
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Copyright	Copyright: © 2023 Keeler Bruce et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. COPYRIGHT 2023 Public Library of Science 2023 Keeler Bruce et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. 2023 Keeler Bruce et al 2023 Keeler Bruce et al 2023 Keeler Bruce et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
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Notes	ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 Competing Interests: The authors have declared that no competing interests exist. Membership of the All of Us Research Program Investigators are listed in the Acknowledgments.
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SubjectTerms	Biology and Life Sciences Breast cancer Cancer Colorectal cancer Data collection Databases, Factual Datasets Diagnosis Electronic health records Ethnicity Evaluation Family medical history Genetic aspects Human subjects Humans Medical research Medical screening Medicine and Health Sciences Medicine, Experimental Neoplasms - genetics Neoplasms - therapy Oncology, Experimental Ovarian cancer Ovaries Population Health Precision Medicine Prostate Prostate cancer Research and Analysis Methods Review boards Statistical analysis Structured Query Language-SQL Surveys Surveys and Questionnaires
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Title	Family and personal history of cancer in the All of Us research program for precision medicine
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