Zane Maggio

Undergraduate Student, University of Chicago

7 active projects

NHPI Obesity Genetics Workspace

We are studying genetic risk and modeling approaches for obesity and metabolic disease, focusing on the genetic diversity of Native Hawaiian / Pacific Islander (NHPI) populations, which have been historically underrepresented in research and underserved in healthcare. We seek to…

Scientific Questions Being Studied

We are studying genetic risk and modeling approaches for obesity and metabolic disease, focusing on the genetic diversity of Native Hawaiian / Pacific Islander (NHPI) populations, which have been historically underrepresented in research and underserved in healthcare. We seek to understand and address the unique genetic vulnerabilities faced by these groups to empower precision approaches to drug discovery and healthcare.

Project Purpose(s)

  • Disease Focused Research (Obesity and Metabolic Disease)

Scientific Approaches

We plan to use genome-wide association studies (GWAS) and regression modeling approaches to characterize disease prevalence and genetic risk architecture in NHPI people compared to other groups.

Anticipated Findings

We anticipate discovering that there is indeed a unique genetic basis for obesity metabolic disease risk in NHPI people, or the alternative that genetic risk is largely unchanged and disparities in health outcomes can be attributed to social determinants of health, which would warrant its own investigation.

Demographic Categories of Interest

  • Race / Ethnicity

Data Set Used

Controlled Tier

Research Team

Owner:

NHPI cardiometabolic workspace

We are studying genetic risk for cardiovascular and metabolic disease, focusing on the genetic diversity of Native Hawaiian / Pacific Islander (NHPI) populations, which have been historically underrepresented in research and underserved in healthcare. We seek to understand and address…

Scientific Questions Being Studied

We are studying genetic risk for cardiovascular and metabolic disease, focusing on the genetic diversity of Native Hawaiian / Pacific Islander (NHPI) populations, which have been historically underrepresented in research and underserved in healthcare. We seek to understand and address the unique genetic vulnerabilities faced by these groups to empower precision approaches to drug discovery and healthcare.

Project Purpose(s)

  • Disease Focused Research (Cardiovascular and metabolic disease)

Scientific Approaches

We plan to use genome-wide association studies (GWAS) and regression modeling approaches to characterize disease prevalence and genetic risk architecture in NHPI people compared to other groups.

Anticipated Findings

We anticipate discovering that there is indeed a unique genetic basis for cardiometabolic disease risk in NHPI people, or the alternative that genetic risk is largely unchanged and disparities in health outcomes can be attributed to social determinants of health, which would warrant its own investigation.

Demographic Categories of Interest

  • Race / Ethnicity

Data Set Used

Controlled Tier

Research Team

Owner:

Collaborators:

  • Xiuan Guo - Undergraduate Student, University of Chicago
  • Seongyeon Yang - Graduate Trainee, University of Chicago
  • Kai Walsh - Undergraduate Student, University of Chicago
  • George Lord - Undergraduate Student, University of Chicago
  • Tigran Bdoyan - Undergraduate Student, University of Chicago
  • Ravindra Mangar - Undergraduate Student, University of Chicago

Elastic Models for Cardiometabolic disease in NHPI

I am studying genetic risk for cardiovascular and metabolic disease, focusing on the genetic diversity of Native Hawaiian / Pacific Islander (NHPI) populations, which have been historically underrepresented in research and underserved in healthcare. I seek to understand and address…

Scientific Questions Being Studied

I am studying genetic risk for cardiovascular and metabolic disease, focusing on the genetic diversity of Native Hawaiian / Pacific Islander (NHPI) populations, which have been historically underrepresented in research and underserved in healthcare. I seek to understand and address the unique genetic vulnerabilities faced by these groups to empower precision approaches to drug discovery and healthcare.

Project Purpose(s)

  • Disease Focused Research (Cardiometabolic disease)
  • Ancestry

Scientific Approaches

We plan to use Elastic Net regularization to identify variants that cause Cardiometabolic disease in NHPI people compared to other groups.

Anticipated Findings

We anticipate discovering that there is indeed a unique genetic basis for cardiometabolic disease risk in NHPI people, or the alternative that genetic risk is largely unchanged and disparities in health outcomes can be attributed to social determinants of health, which would warrant its own investigation.

Demographic Categories of Interest

  • Race / Ethnicity

Data Set Used

Controlled Tier

Research Team

Owner:

  • Zane Maggio - Undergraduate Student, University of Chicago
  • Tigran Bdoyan - Undergraduate Student, University of Chicago

Duplicate of NHPI Lab Workspace (A.O. 1/2, v4, USE THIS)

Do traditional genetic risk factors that modify HDL and LDL cholesterol levels for cardiovascular disease and its subtypes apply to NHPI populations? NHPI is a group underrepresented in other large genomic datasets, and All of Us permits them to be…

Scientific Questions Being Studied

Do traditional genetic risk factors that modify HDL and LDL cholesterol levels for cardiovascular disease and its subtypes apply to NHPI populations? NHPI is a group underrepresented in other large genomic datasets, and All of Us permits them to be included in research that generalizes these canonical findings for assessing CVD risk.

Project Purpose(s)

  • Disease Focused Research (heart disease, type II diabetes)
  • Control Set
  • Ancestry

Scientific Approaches

Broadly speaking, this study will apply genetic predictors of HDL and LDL from European or trans-ancestral studies such as the Global Lipids Genetics Consortium (GLGC) to determine whether their predictive power holds.

Anticipated Findings

This study will determine whether traditional HDL/LDL-related genetic predictors of CVD hold relevance in NHPI populations, contributing to a more refined understanding of the genetic basis of heart disease, and how it may vary across groups.

Demographic Categories of Interest

  • Race / Ethnicity

Data Set Used

Controlled Tier

Research Team

Owner:

Collaborators:

  • Nicholas Dibley - Graduate Trainee, Indiana University
  • Logan Hallee - Graduate Trainee, University of Delaware
  • Kai Walsh - Undergraduate Student, University of Chicago
  • Jonathan Bacon - Undergraduate Student, University of Chicago
  • Haotian Zong - Undergraduate Student, University of Chicago
  • Brian Eisinger - Research Fellow, Indiana University
  • Tigran Bdoyan - Undergraduate Student, University of Chicago
  • Anuja Sawant - Graduate Trainee, Indiana University
  • Aditya Pathak - Undergraduate Student, University of Chicago

NHPI Lab Workspace (A.O. 10/13, v3, USE THIS)

Do traditional genetic risk factors that modify HDL and LDL cholesterol levels for cardiovascular disease and its subtypes apply to NHPI populations? NHPI is a group underrepresented in other large genomic datasets, and All of Us permits them to be…

Scientific Questions Being Studied

Do traditional genetic risk factors that modify HDL and LDL cholesterol levels for cardiovascular disease and its subtypes apply to NHPI populations? NHPI is a group underrepresented in other large genomic datasets, and All of Us permits them to be included in research that generalizes these canonical findings for assessing CVD risk.

Project Purpose(s)

  • Disease Focused Research (heart disease, type II diabetes)
  • Control Set
  • Ancestry

Scientific Approaches

Broadly speaking, this study will apply genetic predictors of HDL and LDL from European or trans-ancestral studies such as the Global Lipids Genetics Consortium (GLGC) to determine whether their predictive power holds.

Anticipated Findings

This study will determine whether traditional HDL/LDL-related genetic predictors of CVD hold relevance in NHPI populations, contributing to a more refined understanding of the genetic basis of heart disease, and how it may vary across groups.

Demographic Categories of Interest

  • Race / Ethnicity

Data Set Used

Controlled Tier

Research Team

Owner:

Collaborators:

  • Nicholas Dibley - Graduate Trainee, Indiana University
  • Logan Hallee - Graduate Trainee, University of Delaware
  • Jonathan Bacon - Undergraduate Student, University of Chicago
  • Haotian Zong - Undergraduate Student, University of Chicago
  • Anuja Sawant - Graduate Trainee, Indiana University
  • Aditya Pathak - Undergraduate Student, University of Chicago
  • Brian Eisinger - Research Fellow, Indiana University

NHPI cardiorenal workspace

We are studying genetic risk for cardiorenal disease, focusing on the genetic diversity of Native Hawaiian / Pacific Islander (NHPI) populations, which have been historically underrepresented in research and underserved in healthcare. We seek to understand and address the unique…

Scientific Questions Being Studied

We are studying genetic risk for cardiorenal disease, focusing on the genetic diversity of Native Hawaiian / Pacific Islander (NHPI) populations, which have been historically underrepresented in research and underserved in healthcare. We seek to understand and address the unique genetic vulnerabilities faced by these groups to empower precision approaches to drug discovery and healthcare.

Project Purpose(s)

  • Disease Focused Research (Cardiovascular and metabolic disease)

Scientific Approaches

We plan to use genome-wide association studies (GWAS) and regression modeling approaches to characterize disease prevalence and genetic risk architecture in NHPI people compared to other groups.

Anticipated Findings

We anticipate discovering that there is indeed a unique genetic basis for cardiometabolic disease risk in NHPI people, or the alternative that genetic risk is largely unchanged and disparities in health outcomes can be attributed to social determinants of health, which would warrant its own investigation.

Demographic Categories of Interest

  • Race / Ethnicity

Data Set Used

Controlled Tier

Research Team

Owner:

  • Zane Maggio - Undergraduate Student, University of Chicago
  • Xiuan Guo - Undergraduate Student, University of Chicago

NHPI Cardiovascular Disease Workspace

We are studying genetic risk for cardiovascular disease, focusing on the genetic diversity of Native Hawaiian / Pacific Islander (NHPI) populations, which have been historically underrepresented in research and underserved in healthcare. We seek to understand and address the unique…

Scientific Questions Being Studied

We are studying genetic risk for cardiovascular disease, focusing on the genetic diversity of Native Hawaiian / Pacific Islander (NHPI) populations, which have been historically underrepresented in research and underserved in healthcare. We seek to understand and address the unique genetic vulnerabilities faced by these groups to empower precision approaches to drug discovery and healthcare.

Project Purpose(s)

  • Disease Focused Research (Cardiovascular disease)

Scientific Approaches

We plan to use regression modeling approaches to characterize disease prevalence and genetic risk architecture in NHPI people compared to other groups.

Anticipated Findings

We anticipate discovering that there is indeed a unique genetic basis for cardiovascular disease risk in NHPI people, or the alternative that genetic risk is largely unchanged and disparities in health outcomes can be attributed to social determinants of health, which would warrant its own investigation.

Demographic Categories of Interest

  • Race / Ethnicity

Data Set Used

Controlled Tier

Research Team

Owner:

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