Anna Eiring

Early Career Tenure-track Researcher, Texas Tech University Health Sciences Center at El Paso

5 active projects

Lipids and Cancer

Our laboratory has recently outlined cancer health disparities for Hispanic patients diagnosed with acute myeloid leukemia who live near the United States/Mexico border. In a separate project, we have associated lipid metabolism with outcomes in myeloid malignancies. In the present…

Scientific Questions Being Studied

Our laboratory has recently outlined cancer health disparities for Hispanic patients diagnosed with acute myeloid leukemia who live near the United States/Mexico border. In a separate project, we have associated lipid metabolism with outcomes in myeloid malignancies. In the present study, we hypothesize that blood lipid levels available in electronic health records will correlate with outcomes in Hispanic patients with acute myeloid leukemia.

Project Purpose(s)

  • Disease Focused Research (myeloid leukemia)
  • Population Health
  • Ancestry

Scientific Approaches

We will use electronic health records available for Hispanic versus non-Hispanic patients diagnosed with acute myeloid leukemia.

Anticipated Findings

The ultimate goal is to identify prognostic metrics for predicting therapy response and outcomes.

Demographic Categories of Interest

  • Race / Ethnicity
  • Geography

Data Set Used

Controlled Tier

Research Team

Owner:

  • Jose Andrade - Graduate Trainee, Texas Tech University Health Sciences Center at El Paso
  • Cristobal Lujan Martino - Graduate Trainee, Texas Tech University Health Sciences Center at El Paso
  • Anna Eiring - Early Career Tenure-track Researcher, Texas Tech University Health Sciences Center at El Paso

AS_Duplicate SNP Watchers

Minority populations are often diagnosed at an earlier age for many different diseases, including type 2 diabetes, cardiovascular diseases, and cancer. The goal of our study is to identify genetic variants associated with early-onset type 2 diabetes, metabolic diseases, and…

Scientific Questions Being Studied

Minority populations are often diagnosed at an earlier age for many different diseases, including type 2 diabetes, cardiovascular diseases, and cancer. The goal of our study is to identify genetic variants associated with early-onset type 2 diabetes, metabolic diseases, and cancer in the Hispanic and African American populations. We aim to find whether these markers associate with worse cancer outcomes.

Project Purpose(s)

  • Disease Focused Research (Metabolic diseases and cancer)
  • Population Health
  • Educational
  • Ancestry

Scientific Approaches

We plan to utilize health records data, genomic data, and demographic data to look for correlations between genomic alterations and early onset metabolic diseases. Genome-wide association studies (GWAS) will identify genomic variants and single nucleotide polymorphisms (SPNs) associated with these diseases in the Hispanic population.

Anticipated Findings

We anticipate finding SNPs or other genomic variants that can be used as prediction markers for early onset metabolic diseases in Hispanics. These markers will help for early diagnosis and intervention.

Demographic Categories of Interest

  • Race / Ethnicity
  • Geography

Data Set Used

Controlled Tier

Research Team

Owner:

  • Veronica Brady - Early Career Tenure-track Researcher, University of Texas Health Science Center, Houston
  • Nyasha Chambwe - Early Career Tenure-track Researcher, Feinstein Institute for Medical Research
  • Katherine Chuang - Project Personnel, City University of New York (CUNY)
  • German Rosas-Acosta - Mid-career Tenured Researcher, University of Texas at El Paso
  • Anjana Saxena - Mid-career Tenured Researcher, City University of New York (CUNY)
  • Anna Eiring - Early Career Tenure-track Researcher, Texas Tech University Health Sciences Center at El Paso

SNPs Watchers

The Hispanic population is often diagnosed at an earlier age for many different diseases, including type 2 diabetes, cardiovascular diseases, and cancer. The goal of our study is to identify genetic variants associated with early-onset type 2 diabetes, metabolic diseases,…

Scientific Questions Being Studied

The Hispanic population is often diagnosed at an earlier age for many different diseases, including type 2 diabetes, cardiovascular diseases, and cancer. The goal of our study is to identify genetic variants associated with early-onset type 2 diabetes, metabolic diseases, and cancer in the Hispanic population. We aim to find whether these markers associate with worse cancer outcomes.

Project Purpose(s)

  • Disease Focused Research (Metabolic diseases and cancer)
  • Population Health
  • Educational
  • Ancestry

Scientific Approaches

We plan to utilize health records data, genomic data, and demographic data to look for correlations between genomic alterations and early onset metabolic diseases. Genome-wide association studies (GWAS) will identify genomic variants and single nucleotide polymorphisms (SPNs) associated with these diseases in the Hispanic population.

Anticipated Findings

We anticipate finding SNPs or other genomic variants that can be used as prediction markers for early onset metabolic diseases in Hispanics. These markers will help for early diagnosis and intervention.

Demographic Categories of Interest

  • Race / Ethnicity
  • Access to Care
  • Income Level

Data Set Used

Registered Tier

Research Team

Owner:

  • Veronica Brady - Early Career Tenure-track Researcher, University of Texas Health Science Center, Houston
  • Nyasha Chambwe - Early Career Tenure-track Researcher, Feinstein Institute for Medical Research
  • German Rosas-Acosta - Mid-career Tenured Researcher, University of Texas at El Paso
  • Anjana Saxena - Mid-career Tenured Researcher, City University of New York (CUNY)
  • Anna Eiring - Early Career Tenure-track Researcher, Texas Tech University Health Sciences Center at El Paso

Collaborators:

  • Yuewen Qi - Project Personnel, Feinstein Institute for Medical Research

Duplicate of Genomics-Workshop-July2023

This workspace is meant to help researchers get familiar with the All of Us Researcher Workbench. There are five hands-on exercises during the workshop, each with a specific notebook. Exercise 1: Duplicate the workspace & start the cloud environment Exercise…

Scientific Questions Being Studied

This workspace is meant to help researchers get familiar with the All of Us Researcher Workbench. There are five hands-on exercises during the workshop, each with a specific notebook.
Exercise 1: Duplicate the workspace & start the cloud environment
Exercise 2: Looking at the genomic data (notebook)
Exercise 3: GWAS - extracting phenotypic data (notebook)
Exercise 4: GWAS - running Hail GWAS (notebook)
Exercise 5: Advanced GWAS (2 notebooks)

By running the exercises in this workspace, researchers will become more familiar with the genomic data, know how to access the genomic data, see how the genomic data and tools can be used in the Researcher Workbench, and be able to start their own genomic data project.

Project Purpose(s)

  • Other Purpose (This workspace is meant for use during the Introduction to Analyzing All of Us Genomic Data workshop. In this workshop, participants will get hands-on experience using the genomics data running a genome-wide association study (GWAS) using Hail. )

Scientific Approaches

We are using the All of Us dataset in order to run a genome-wide association study (GWAS) using Hail. In the workshop, we will give an introduction to the All of Us Researcher Workbench and demonstrate how to use the Cohort Builder and Jupyter Notebooks to set up a research project. Using Jupyter notebooks, we will create a dataset linking the All of Us phenotypic data to the short read whole genome sequencing (srWGS) data. After running the GWAS steps using Hail, we will visualize the results.

Anticipated Findings

This study is running a genome-wide association study (GWAS) using Hail, using height as the selected phenotypic data. We do not anticipate findings from this example workspace but we expect that workshop participants will be able to apply similar methods to their future research.

Demographic Categories of Interest

This study will not center on underrepresented populations.

Data Set Used

Controlled Tier

Research Team

Owner:

  • Anna Eiring - Early Career Tenure-track Researcher, Texas Tech University Health Sciences Center at El Paso

Explore Hypertension Data

This workspace is intended for educational purposes at BCM's 2023 BR Faculty Summer to learn how to use the Researcher Workbench by viewing and analyzing data for hypertension.

Scientific Questions Being Studied

This workspace is intended for educational purposes at BCM's 2023 BR Faculty Summer to learn how to use the Researcher Workbench by viewing and analyzing data for hypertension.

Project Purpose(s)

  • Educational

Scientific Approaches

This workspace is intended for educational purposes at BCM's 2023 BR Faculty Summer to learn how to use the Researcher Workbench by viewing and analyzing data for hypertension.

Anticipated Findings

This workspace is intended for educational purposes at BCM's 2023 BR Faculty Summer to learn how to use the Researcher Workbench by viewing and analyzing data for hypertension.

Demographic Categories of Interest

This study will not center on underrepresented populations.

Data Set Used

Registered Tier

Research Team

Owner:

  • Anna Eiring - Early Career Tenure-track Researcher, Texas Tech University Health Sciences Center at El Paso
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