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Project Descriptions
Fall 2026

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Showing 4 projects out of 4 found. On page 1 out of 1.
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Identify genes and proteins whose expression levels are associated with menopausal status and time since menopause

Marisa Medina - Professor, UC San Francisco

Status: Open     Weekly Hours: to be negotiated     Location: Off Campus

There are a limited number of human omics datasets that include menopausal status information for female subjects and include enough premenopausal and postmenopausal women. For instance, multi-omics data has been generated for thousands of All of Us Research Program participants. We will compare transcriptomic and proteomic profiles of premenopausal...

 Biological & Health Sciences   Digital Humanities and Data Science

Age at natural menopause (ANM) polygenic risk scores (PRS) in the All of Us Research Program

Marisa Medina - Professor, UC San Francisco

Status: Open     Weekly Hours: to be negotiated     Location: Off Campus

Not all women reach menopause at the same time. Some of this inter-individual variation is due to underlying genetic differences between women. Genome-wide association studies (GWAS) have been conducted to identify a list of common genetic variants that are associated with age at natural menopause. We would like...

 Biological & Health Sciences   Digital Humanities and Data Science

Infer the timing of menopause from electronic health record (EHR) longitudinal laboratory data

Marisa Medina - Professor, UC San Francisco

Status: Open     Weekly Hours: to be negotiated     Location: Off Campus

Electronic health record (EHR)-linked biobanks, such as the All of Us Research Program, do not contain reliable information about the timing of menopause for most women. Recent studies suggest that physiological changes associated with menopause can be detected through longitudinal patterns in routinely measured clinical biomarkers (e.g., in metabolic...

 Biological & Health Sciences   Digital Humanities and Data Science

Infer the timing of menopause from electronic health record (EHR) clinical data

Marisa Medina - Professor, UC San Francisco

Status: Open     Weekly Hours: to be negotiated     Location: Off Campus

Electronic health record (EHR)-linked biobanks, such as the All of Us Research Program, do not contain reliable information about the timing of menopause for most women. However, clinical notes can give additional clues about the timing of this important milestone in women's lives. The All of Us Research Program...

 Biological & Health Sciences   Digital Humanities and Data Science

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