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Related Experiment Video

Updated: Jul 14, 2026

Genetic Mapping of Thermotolerance Differences Between Species of Saccharomyces Yeast via Genome-Wide Reciprocal Hemizygosity Analysis

Genetic Mapping of Thermotolerance Differences Between Species of Saccharomyces Yeast via Genome-Wide Reciprocal Hemizygosity Analysis

Published on: August 12, 2019

The relationship between "race" and genetics in biomedical research.

Jada Benn Torres¹, Rick A Kittles

¹Section of Genetic Medicine, Department of Medicine, The University of Chicago, 5841 South Maryland Avenue, MC6091, Chicago, IL 60637, USA.

Current Hypertension Reports

|May 24, 2007

Summary

Understanding human genetic variation is crucial for addressing health disparities. Casual use of "race" in research limits our grasp of complex diseases and ancestry.

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Genetic Mapping of Thermotolerance Differences Between Species of Saccharomyces Yeast via Genome-Wide Reciprocal Hemizygosity Analysis

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Published on: August 12, 2019

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Area of Science:

Genomics
Population Genetics
Health Disparities Research

Background:

The post-genome sequencing era faces challenges in quantifying human genetic variation.
Understanding sequence variation is key to addressing health disparities and the concept of
race
.

Purpose of the Study:

To discuss genetic variation among African Americans and Hispanic Americans.
To explore the implications of this variation for the concept of
race
in biomedical research.
To highlight how the casual use of
race
hinders understanding of complex diseases and health disparities.

Main Methods:

Review of existing literature on human genetic variation.
Analysis of genetic diversity within and between specific population groups (African Americans, Hispanic Americans).
Discussion of the role of genetic variation in complex disease susceptibility.

Main Results:

Genetic variation exists within and between diverse human populations.
The concept of
race
as a biological determinant is complex and often oversimplified in research.
Current research approaches may not adequately account for population-specific genetic variations.

Conclusions:

The casual use of
race
in biomedical research obscures the understanding of complex disease etiology.
Accurate quantification of genetic variation is essential for addressing health disparities.
A more nuanced approach to population genetics is needed to improve disease risk assessment and reduce health disparities.