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Research Highlights

All of Us is shaping how we understand health and disease. Research Highlights showcase the recent research powered by All of Us data and tools.

Featured Highlight

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All of Us Helps Find Hidden Patterns in Type 2 Diabetes

DNA data helped explain why type 2 diabetes is so complex. Researchers found eight subgroups of type 2 diabetes, each with its own genetic patterns. Each pattern indicates the likely cause of type 2 diabetes, and some point to possible health effects, such as heart disease and kidney disease.

 
Logo of the All of Us Research Program. More than 8,200 daily steps. Steps to better health with All of Us.

Steps to Better Health with All of Us

A new study using All of Us participant Fitbit and electronic health record data finds that taking at least 8,200 daily steps is linked with lower rates of certain health conditions—including depression, sleep apnea, acid reflux, high blood pressure, obesity, and diabetes.

Study links birthplace and cancer risk among Hispanic All of Us participants. Illustration of a globe showing the Western Hemisphere with location pins in both North and South America.

Study Links Birthplace and Cancer Risk Among Hispanic All of Us Participants

Scientists used All of Us data to compare how liver cancer affects U.S. born and non-U.S. born Hispanic participants. U.S.-born Hispanic participants had higher rates of risk factors for liver cancer, but non-U.S.-born Hispanic participants showed higher prevalence of liver cancer.

A diagram comparing the existing and new sepsis readmission models. The existing model includes demographics and data on previous medical issues. The new model includes patient records and All of Us survey answers covering transportation, health insurance, housing, employment, education, and income, the impact of which is informed patient care. Logo of the All of Us Research Program. Reference: F Amrollahi et al., Inclusion of social determinants of health improves sepsis readmission prediction models.

All of Us Data Helps Better Predict Hospital Readmission for Patients with Sepsis

Researchers used All of Us data on social determinants of health to better predict which patients might return to the hospital after having sepsis (a serious infection). The factors that increased patients’ risk of readmission within 30 days of discharge included: delays in getting medical care, unstable housing and employment, lower education levels, and certain patient demographics (such as gender and race).

A collection of four icons: top left is a green icon with circles, plus signs and x’s; top right is a purple icon with a DNA helix with an arrow indicating smaller elements; bottom left is a pink icon of a laptop showing data charts; bottom right is an orange square with a folder icon with a paper inside labeled. Icons are overlayed with a white box and blue text reading FDA approves All of US to deliver DNA reports back to participants.

All of Us Meets FDA Standards to Deliver DNA Research Results to Participants

All of Us worked with the U.S. Food and Drug Administration (FDA) to test the program’s process for delivering health-related DNA results to participants. This rigorous testing showed that All of Us DNA results are accurate, precise, and reliable.