Lauryn Bruce

Graduate Trainee, University of California, San Diego

2 active projects

Personal and Family History of Cancer

As a demonstration project, we seek to understand family history characteristics in prevalence of cancer. Our questions are: 1. How does prevalence of cancer differ between those with and without family history of breast, colorectal, lung, ovarian and prostate cancer;…

Scientific Questions Being Studied

As a demonstration project, we seek to understand family history characteristics in prevalence of cancer. Our questions are: 1. How does prevalence of cancer differ between those with and without family history of breast, colorectal, lung, ovarian and prostate cancer; and 2) What, if any, differences exist by demographic characteristics.

Project Purpose(s)

  • Disease Focused Research (cancer)
  • Population Health
  • Other Purpose (This work is a result of an All of Us Research Program Demonstration Project. The projects are efforts by the Program designed to meet the program's goal of ensuring the quality and utility of the Research Hub as a resource for accelerating discovery in science and medicine. This work was reviewed and overseen by the All of Us Research Program Science Committee and the Data and Research Center to ensure compliance with program policy, including policies for acceptable data access and use.)

Scientific Approaches

We analyze all types of cancer in adults and compare analyses to published literature such as studies using SEER national cancer registry and national surveys such as National Health Information Survey. We identify cancer cases based on self-report from the PPI individual medical history survey. We identify family history of cancer from the PPI family medical history survey. We use Jupyter notebooks to generate reusable code.

Anticipated Findings

We anticipate that we will be able to replicate the relative prevalence and family history of cancer seen in the literature. This will serve to demonstrate the quality and utility of All of Us data and tools for conducting epidemiologic analyses.

Demographic Categories of Interest

  • Race / Ethnicity
  • Age
  • Sex at Birth
  • Gender Identity
  • Sexual Orientation

Research Team

Owner:

  • Paulina Paul - Project Personnel, University of California, San Diego
  • Lauryn Bruce - Graduate Trainee, University of California, San Diego
  • Katherine Kim - Early Career Tenure-track Researcher, University of California, Davis
  • Jihoon Kim - Project Personnel, University of California, San Diego

Cancer Prevalence and Family History

As a demonstration project, we seek to understand the regional, demographic, and family history characteristics in prevalence and incidence of both solid and hematologic (blood) cancers. Our questions are: 1. How do rates of cancer differ based on the self-report…

Scientific Questions Being Studied

As a demonstration project, we seek to understand the regional, demographic, and family history characteristics in prevalence and incidence of both solid and hematologic (blood) cancers. Our questions are:
1. How do rates of cancer differ based on the self-report (participant provided information, or “PPI”) and electronic health records.
2. Are characteristics related to cancer similar or different among the people represented in All of Us compared to other national cohorts.

Project Purpose(s)

  • Disease Focused Research (cancer)
  • Population Health
  • Other Purpose (This work is a result of an All of Us Research Program Demonstration Project. The projects are efforts by the Program designed to meet the program's goal of ensuring the quality and utility of the Research Hub as a resource for accelerating discovery in science and medicine. This work was reviewed and overseen by the All of Us Research Program Science Committee and the Data and Research Center to ensure compliance with program policy, including policies for acceptable data access and use.)

Scientific Approaches

We will analyze all types of cancer in adults to compare incidence (new cases) and prevalence (current levels in the population). We will compare our results with the published information from SEER national cancer registry and national surveys (e.g., National Health Information Survey). We will analyze socio-demographics and geographic differences.

We will identify cancer cases based on self-report from PPI individual medical history survey and from diagnosis codes plus lab results from E.H.R.
We will identify family history of cancer form the PPI family medical history survey.
We will map the cancer categories by physiologic site used for the SEER registry to the SNOMED and ICD codes used in the EHR and to the cancer conditions in the PPI. We use Jupyter notebooks to generate reusable code for the mapping.

Anticipated Findings

For this study, we anticipate we will be able to replicate the relative prevalence and incidence rates of cancer and family history of cancer. This will serve to demonstrate the quality and utility of All of Us data and tools for conducting epidemiologic analyses.

Demographic Categories of Interest

  • Race / Ethnicity
  • Age
  • Sex at Birth
  • Gender Identity
  • Education Level
  • Income Level

Research Team

Owner:

  • Paulina Paul - Project Personnel, University of California, San Diego
  • Lauryn Bruce - Graduate Trainee, University of California, San Diego
  • Katherine Kim - Early Career Tenure-track Researcher, University of California, Davis
  • Jihoon Kim - Project Personnel, University of California, San Diego
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