All of Us Publications

The power of TOPMed imputation for the discovery of Latino-enriched rare variants associated with type 2 diabetes

The power of TOPMed imputation for the discovery of Latino-enriched rare variants associated with type 2 diabetes

Huerta-Chagoya, A., Schroeder, P., Mandla, R. et al. Diabetologia 2023 Jul;66(7):1273-1288. doi: 10.1007/s00125-023-05912-9. Epub 2023 May 6. PMID: 37148359

The association of cutaneous squamous cell carcinoma and basal cell carcinoma with solid organ transplantation: a cross-sectional study of the All Of Us Research Program

The association of cutaneous squamous cell carcinoma and basal cell carcinoma with solid organ transplantation: a cross-sectional study of the All Of Us Research Program

Belzer A, Leasure AC, Cohen JM, Perkins SH. Int J Dermatol. 2023 Oct;62(10):e564-e566. doi: 10.1111/ijd.16700. Epub 2023 May 5. PMID: 37144784.

Investigating the association between gender minority identity and skin cancer prevalence: A cohort study in the United States All of Us research program

Investigating the association between gender minority identity and skin cancer prevalence: A cohort study in the United States All of Us research program

Kamal K, Young K, Ly S, Manjaly P, Xiang DH, Zhou G, Mostaghimi A, Theodosakis N. J Eur Acad Dermatol Venereol. 2023 Apr 28. doi: 10.1111/jdv.19156. Epub ahead of print. PMID: 37114382.

Epidemiology and factors associated with cannabis use among patients with glaucoma in the All of Us  Research Program

Epidemiology and factors associated with cannabis use among patients with glaucoma in the All of Us Research Program

Wu JH, Radha Saseendrakumar B, Moghimi S, Sidhu S, Kamalipour A, Weinreb RN, Baxter SL.  Heliyon. 2023 Apr 25;9(5):e15811. doi: 10.1016/j.heliyon.2023.e15811. PMID: 37215923; PMCID: PMC10192773.

A machine learning model identifies patients in need of autoimmune disease testing using electronic health records

A machine learning model identifies patients in need of autoimmune disease testing using electronic health records

Forrest IS, Petrazzini BO, Duffy Á, Park JK, O’Neal AJ, Jordan DM, Rocheleau G, Nadkarni GN, Cho JH, Blazer AD, Do R. Nat Commun. 2023 Apr 25;14(1):2385. doi: 10.1038/s41467-023-37996-7. PMID: 37169741; PMCID: PMC10130143.

Association between atopic dermatitis and eosinophilic esophagitis: a cross-sectional study in the All of Us Research Program

Association between atopic dermatitis and eosinophilic esophagitis: a cross-sectional study in the All of Us Research Program

Chen GF, Cohen JM.  Int J Dermatol. 2023 Oct;62(10):e556-e557. doi: 10.1111/ijd.16690. Epub 2023 Apr 20. PMID: 37081803; PMCID: PMC10524237.

Racial differences in perception and experiences of adverse treatment by healthcare providers: A cross-sectional analysis of the All of Us data

Racial differences in perception and experiences of adverse treatment by healthcare providers: A cross-sectional analysis of the All of Us data, Journal of Public Health in the Deep South

Twum F, Ge Y, Hayes T, Funchess T. Journal of Public Health in the Deep South. 2022; 3(2).

Common and rare variants associated with cardiometabolic traits across 98,622 whole-genome sequences in the  All of Us  research program

Common and rare variants associated with cardiometabolic traits across 98,622 whole-genome sequences in the All of Us research program

Wang X, Ryu J, Kim J, Ramirez A, Mayo KR; All of Us Research Program; Condon H, Vaitinadin NS, Ohno-Machado L, Talavera GA, Ellinor PT, Lubitz SA, Choi SH. J Hum Genet. 2023 Apr 18. doi: 10.1038/s10038-023-01147-z. Epub ahead of print. PMID: 37072623.

Application of Machine Learning Algorithms to Predict Uncontrolled Diabetes Using the All of Us Research Program Data

Application of Machine Learning Algorithms to Predict Uncontrolled Diabetes Using the All of Us Research Program Data

Abegaz TM, Ahmed M, Sherbeny F, Diaby V, Chi H, Ali AA.  Healthcare (Basel). 2023 Apr 15;11(8):1138. doi: 10.3390/healthcare11081138. PMID: 37107973

Modeling the impact of digital readiness in recruiting and sustaining underrepresented groups: Data from the All of Us research program

Modeling the impact of digital readiness in recruiting and sustaining underrepresented groups: Data from the All of Us research program

Kini S, Duluk D, Weinstein J. Front Digit Health. 2023 Apr 13;4:1082098. doi: 10.3389/fdgth.2022.1082098. PMID: 37124163; PMCID: PMC10133694.