All of Us Publications

Exome sequence analysis identifies rare coding variants associated with a machine learning-based marker for coronary artery disease

Exome sequence analysis identifies rare coding variants associated with a machine learning-based marker for coronary artery disease

Petrazzini BO, Forrest IS, Rocheleau G, Vy HMT, Márquez-Luna C, Duffy Á, Chen R, Park JK, Gibson K, Goonewardena SN, Malick WA, Rosenson RS, Jordan DM, Do R. Nat Genet. 2024 Jun 11. doi: 10.1038/s41588-024-01791-x. Epub ahead of print. PMID: 38862854.

Prevalence and association of polycystic ovary syndrome and hidradenitis suppurativa in underrepresented groups

Prevalence and association of polycystic ovary syndrome and hidradenitis suppurativa in underrepresented groups

Ch’en PY, Toker M, Chen G, Hosgood HD, Campton KL, Cohen SR. Arch Dermatol Res. 2024 Jun 8;316(7):379. doi: 10.1007/s00403-024-02971-9. PMID: 38850290; PMCID: PMC11162354.

A retrospective case-control analysis of various comorbidities associated with Merkel Cell Carcinoma

A retrospective case-control analysis of various comorbidities associated with Merkel Cell Carcinoma

Verma KK, Dowdle TS, Panchal S, Dhavala M, Joshi TP, Tarbox MB, Wagner RF Jr. Arch Dermatol Res. 2024 Jun 8;316(7):355. doi: 10.1007/s00403-024-03026-9. PMID: 38850315.

Characterizing hypertrophic scars in underrepresented groups: a cross-sectional analysis of the All of Us database

Characterizing hypertrophic scars in underrepresented groups: a cross-sectional analysis of the All of Us database

Pathak GN, Pathak SS, Sanabria B, Mital V, Rao B. Arch Dermatol Res. 2024 Jun 8;316(7):371. doi: 10.1007/s00403-024-03086-x. PMID: 38850422.

Discrimination in Medical Settings across Populations: Evidence From the All of Us Research Program

Discrimination in Medical Settings across Populations: Evidence From the All of Us Research Program

Wang VH, Cuevas AG, Osokpo OH, Chang JE, Zhang D, Hu A, Yun J, Lee A, Du S, Williams DR, Pagán JA. Am J Prev Med. 2024 Jun 4:S0749-3797(24)00174-0. doi: 10.1016/j.amepre.2024.05.018. Epub ahead of print. PMID: 38844146.

The feasibility of using the All of Us Research Program survey data in evaluation of patients with colorectal cancer

The feasibility of using the All of Us Research Program survey data in evaluation of patients with colorectal cancer

Sheffer HF, McLeod C, Chu D, Bhatia S, Hollis R. J Gastrointest Surg. 2024 Jun 4:S1091-255X(24)00491-8. doi: 10.1016/j.gassur.2024.05.037. Epub ahead of print. PMID: 38843990.

Reduced rates of substance use disorder in patients with alopecia: An all of us case-control study

Reduced rates of substance use disorder in patients with alopecia: An all of us case-control study

Konisky H, Ch’en PY, Kobets K. Arch Dermatol Res. 2024 Jun 1;316(6):324. doi: 10.1007/s00403-024-03047-4. PMID: 38822896.

Development and Validation of an Individual Socioeconomic Deprivation Index (ISDI) in the NIH’s All of Us Data Network

Development and Validation of an Individual Socioeconomic Deprivation Index (ISDI) in the NIH’s All of Us Data Network

Acharya N, Natarajan K. AMIA Jt Summits Transl Sci Proc. 2024 May 31;2024:36-45. PMID: 38827060; PMCID: PMC11141807.

Machine Learning Approach with Harmonized Multinational Datasets for Enhanced Prediction of Hypothyroidism in Patients with Type 2 Diabetes

Machine Learning Approach with Harmonized Multinational Datasets for Enhanced Prediction of Hypothyroidism in Patients with Type 2 Diabetes

Adelson RP, Garikipati A, Zhou Y, Ciobanu M, Tawara K, Barnes G, Singh NP, Mao Q, Das R. Diagnostics (Basel). 2024 May 31;14(11):1152. doi: 10.3390/diagnostics14111152. PMID: 38893680; PMCID: PMC11172278.

Prevalence of lichen planopilaris and frontal fibrosing alopecia in the United States: an All of Us database analysis

Prevalence of lichen planopilaris and frontal fibrosing alopecia in the United States: an All of Us database analysis

Chen LC, Ogbutor C, Kelley KJ, Pickford JR, Senna MM. Int J Dermatol. 2024 May 28. doi: 10.1111/ijd.17274. Epub ahead of print. PMID: 38807286.