Lauryn Bruce

Graduate Trainee, University of California, San Diego

3 active projects

Wearables and Pregnancy

We are exploring how physiological data collected via wearable devices varies before pregnancy onset, through pregnancy, and following labor.

Scientific Questions Being Studied

We are exploring how physiological data collected via wearable devices varies before pregnancy onset, through pregnancy, and following labor.

Project Purpose(s)

  • Disease Focused Research (Pregnancy)

Scientific Approaches

We plan to extract data for individuals who have reported pregnancy and shared wearable device data. If minute-level data is available, we will be exploring the effects that pregnancy stage has on circadian rhythms.

Anticipated Findings

We hypothesize that the circadian rhythms of different data modalities change with pregnancy state.

Demographic Categories of Interest

This study will not center on underrepresented populations.

Data Set Used

Registered Tier

Research Team

Owner:

  • Lauryn Bruce - Graduate Trainee, University of California, San Diego

Duplicate of Demo - Systemic Disease and Glaucoma

Copy of Demonstration project to understand formatting for a future AoU publication

Scientific Questions Being Studied

Copy of Demonstration project to understand formatting for a future AoU publication

Project Purpose(s)

  • Educational
  • Other Purpose (Copy of Demonstration project to understand formatting for a future AoU publication )

Scientific Approaches

Copy of Demonstration project to understand formatting for a future AoU publication

Anticipated Findings

Copy of Demonstration project to understand formatting for a future AoU publication

Demographic Categories of Interest

This study will not center on underrepresented populations.

Data Set Used

Registered Tier

Research Team

Owner:

  • Lauryn Bruce - Graduate Trainee, University of California, San Diego

Duplicate of AMIA Genomics Walkthrough

This workspace is intended to provide basic instruction for using genomics data in All of Us, including cohort identification, covariate extraction, analysis, and display of results. From AMIA 2021 conference

Scientific Questions Being Studied

This workspace is intended to provide basic instruction for using genomics data in All of Us, including cohort identification, covariate extraction, analysis, and display of results. From AMIA 2021 conference

Project Purpose(s)

  • Educational

Scientific Approaches

We use OMOP, the cohort builder, and Hail for genomics analysis. The approach will be a simple rule based algorithm along with some open access genomic data to simulate a GWAS.

Anticipated Findings

We do not anticipate any findings as the analysis will not be real. Therefore this will not contribute to scientific knowledge, but hopefully will contribute to individual user's knowledge.

Demographic Categories of Interest

This study will not center on underrepresented populations.

Data Set Used

Registered Tier

Research Team

Owner:

  • Lauryn Bruce - Graduate Trainee, University of California, San Diego

Collaborators:

  • Jihoon Kim - Project Personnel, University of California, San Diego
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