George Lord

Undergraduate Student, University of Chicago

2 active projects

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
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