All of Us Publications

An ensemble penalized regression method for multi-ancestry polygenic risk prediction

An ensemble penalized regression method for multi-ancestry polygenic risk prediction

Zhang J, Zhan J, Jin J, Ma C, Zhao R, O’Connell J, Jiang Y; 23andMe Research Team; Koelsch BL, Zhang H, Chatterjee N. Nat Commun. 2024 Apr 15;15(1):3238. doi: 10.1038/s41467-024-47357-7. PMID: 38622117.

Illuminating the landscape of high-level clinical trial opportunities in the All of Us Research Program

Illuminating the landscape of high-level clinical trial opportunities in the All of Us Research Program

Shyr C, Sulieman L, Harris PA. J Am Med Inform Assoc. 2024 Apr 15:ocae062. doi: 10.1093/jamia/ocae062. Epub ahead of print. PMID: 38622899.

The sex-dependent impact of adipose tissue and inflammation on chronic pain – A cross-sectional study from the all of us research program

The sex-dependent impact of adipose tissue and inflammation on chronic pain – A cross-sectional study from the all of us research program

Berwal D, Branisteanu DD, Glickman M, Sagar A, Pilitsis JG. Cytokine. 2024 Apr 14;179:156614. doi: 10.1016/j.cyto.2024.156614. Epub ahead of print. PMID: 38621331.

Influence of Health Insurance Types on Clinical Cancer Care Accessibility and Quality Using All of Us Database

Influence of Health Insurance Types on Clinical Cancer Care Accessibility and Quality Using All of Us Database

Tibi S, Tieu V, Babayigit S, Ling J. Medicina (Kaunas). 2024 Apr 11;60(4):623. doi: 10.3390/medicina60040623. PMID: 38674269; PMCID: PMC11051976.

Benchmarking multi-ancestry prostate cancer polygenic risk scores in a real-world cohort

Benchmarking multi-ancestry prostate cancer polygenic risk scores in a real-world cohort

Shah Y, Kulm S, Nauseef JT, Chen Z, Elemento O, Kensler KH, Sharaf RN. PLoS Comput Biol. 2024 Apr 10;20(4):e1011990. doi: 10.1371/journal.pcbi.1011990. Epub ahead of print. PMID: 38598551.

Delays in Care by Race, Ethnicity, and Gender Before and During the COVID-19 Pandemic Using Cross-Sectional Data From National Institutes of Health’s All of Us Research Program

Delays in Care by Race, Ethnicity, and Gender Before and During the COVID-19 Pandemic Using Cross-Sectional Data From National Institutes of Health’s All of Us Research Program

Hill KA, Colón-López V. Womens Health Issues. 2024 Apr 9:S1049-3867(24)00020-3. doi: 10.1016/j.whi.2024.02.003. Epub ahead of print. PMID: 38599938.

Asian and Hispanic/Latino Patients Are High Risk for Melasma Development in a Cross-Sectional Cohort Study Using the All of Us Database

Asian and Hispanic/Latino Patients Are High Risk for Melasma Development in a Cross-Sectional Cohort Study Using the All of Us Database

Hill RC, Stubblefield O, Lipner SR. J Cutan Med Surg. 2024 Apr 9:12034754241245965. doi: 10.1177/12034754241245965. Epub ahead of print. PMID: 38591407.

Association of Lichen Planus with Asthma and Allergic Rhinitis in the All of Us Research Program: A Cross-Sectional Study

Association of Lichen Planus with Asthma and Allergic Rhinitis in the All of Us Research Program: A Cross-Sectional Study

Richmond RL, Murphy MJ, Edemobi P, Vesely MD, Cohen JM. Clin Exp Dermatol. 2024 Apr 9:llae101. doi: 10.1093/ced/llae101. Epub ahead of print. PMID: 38589773.

Alopecia areata and cardiovascular comorbidities: A cross-sectional analysis of the All of Us research program

Alopecia areata and cardiovascular comorbidities: A cross-sectional analysis of the All of Us research program

Nohria A, Shah JT, Desai D, Alhanshali L, Ingrassia J, Femia A, Garshick M, Shapiro J, Lo Sicco KI. JAAD Int. 2024 Apr 8;16:46-48. doi: 10.1016/j.jdin.2024.03.024. PMID: 38774345; PMCID: PMC11107229.

Discovering clinical drug-drug interactions with known pharmacokinetics mechanisms using spontaneous reporting systems and electronic health records

Discovering clinical drug-drug interactions with known pharmacokinetics mechanisms using spontaneous reporting systems and electronic health records

Jeong E, Su Y, Li L, Chen Y. J Biomed Inform. 2024 Apr 6;153:104639. doi: 10.1016/j.jbi.2024.104639. Epub ahead of print. PMID: 38583580.