Association Between a First-Degree Family History and Self-Reported Personal History of Obesity, Diabetes, and Heart and Blood Conditions: Results From the All of Us Research Program.
Danielle Rasooly et al. J Am Heart Assoc 2023 11 e030779
From the abstract: "We assessed the association between a self-reported family history of ODHBs and their risk in the adult population (age =20 years) of the AoU (All of Us) Research Program, a longitudinal cohort study of diverse participants across the United States. We conducted a family history-wide association study to systematically assess the association of a first-degree family history of 15 ODHBs in AoU. We use the FamWAS method to estimate 225 familial associations among 15 ODHBs. The results include overlapping associations between family history of different types of cardiometabolic conditions (such as type 2 diabetes and coronary artery disease), and their risk factors (obesity, hypertension), where adults with a family history of 1 ODHB exhibited 1.1 to 5.6 times (1.5, on average) the odds of having a different ODHB. "
Family and personal history of cancer in the All of Us research program for precision medicine.
Lauryn Keeler Bruce et al. PLoS One 2023 7 (7) e0288496
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).
NIH launches largest precision nutrition research effort of its kind
NIH ALL of Us, May 2023
The National Institutes of Health is now enrolling participants in a landmark initiative to advance nutrition research. Nutrition for Precision Health, powered by the All of Us Research Program (NPH), is working with 14 sites across the United States to engage 10,000 participants from diverse backgrounds and learn more about how our bodies respond differently to food. NPH will use artificial intelligence (AI)-based approaches to analyze information provided by participants in order to develop algorithms that predict responses to dietary patterns. The study’s findings may one day allow healthcare providers to offer more customized nutritional guidance to improve overall health.
Tracking the Impact of the All of Us Research Program: The All of Us Reports and Publications Database
M Clyne et al, CDC Blog Post, March 28, 2023
The All of Us Reports and Publications Database (AofURPD) is a continuously updated, searchable database referencing and linking to peer reviewed journal publications, preprint records, as well as select information from websites and media sources that relate to the All of Us Research Program. This blog provides a baseline overview of the content of the AofURPD as of March 17, 2023, including reports and publications as far back as the All of Us Research Program inception in 2016.