Publication Directory

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.

Weighting the United States All of Us Research Program data to known population estimates using raking

Weighting the United States All of Us Research Program data to known population estimates using raking

Wang VH, Lei J, Shi T, Pagán JA. Prev Med Rep. 2024 Jun 8;43:102795. doi: 10.1016/j.pmedr.2024.102795. PMID: 39026566; PMCID: PMC11257137.

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.

Understanding the use of CATI and web-based data collection methods during the pandemic among digitally challenged groups at FQHCs: data from the All of Us Research Program

Understanding the use of CATI and web-based data collection methods during the pandemic among digitally challenged groups at FQHCs: data from the All of Us Research Program

Kini S, Cawi KM, Duluk D, Yamazaki K, McQueen MB. Front Digit Health. 2024 Jun 4;6:1379290. doi: 10.3389/fdgth.2024.1379290. PMID: 38895514; PMCID: PMC11183497.

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.

Temporally Multi-Scale Sparse Self-Attention for Physical Activity Data Imputation

Temporally Multi-Scale Sparse Self-Attention for Physical Activity Data Imputation

Wei H, Xu MA, Samplawski C, Rehg JM, Kumar S, Marlin BM. Proc Mach Learn Res. 2024 Jun;248:137-154. PMID: 39319220; PMCID: PMC11421853.

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.