Publication date: Jul 03, 2019
Precision medicine is an approach that allows doctors to select treatments that are most likely to be effective in protecting a patient’s health or treating their disease, based on an understanding of the patient’s individual genes, environment, and lifestyle.
A team of researchers from institutions across the country, including the University of North Carolina at Chapel Hill, analyzed phenotypes of nearly 50,000 non-European individuals, identifying 65 new associations and replicating 1,400 associations between genes and diseases, highlighting the need for equitable inclusion of diverse populations in genetic research.
The study, known as Population Architecture using Genomics and Epidemiology (PAGE), was founded by the National Human Genome Institute and National Institute on Minority Health and Health Disparities to research the correlation between genetics and disease in ethnically diverse individuals in the United States.
In analyzing the genetic code of these diverse populations and comparing them to those of European descent, researchers identified 65 new genetic associations, or previously undiscovered positions along a chromosome where related genetic variants are located, that have not been found previously in European populations, but have the potential to be transferable to other groups that share components of genetic lineage, such as African ancestry, which can be found in both African Americans, Hispanics and Latinos.
When Hispanic/Latino individuals carry this sickle cell variant, as they commonly do in African ancestry populations, the estimated values of HbA1c levels could be erroneously lower, leading an individual to incorrectly think that they are free of type 2 diabetes or that their glucose is well under control.
It is also important to acknowledge the risk of misdiagnosing diseases if diverse populations remain unstudied.
|drug||DRUGBANK||Dextrose unspecified form|
|disease||MESH||sickle cell anemia|
|disease||DOID||sickle cell anemia|
|disease||MESH||type 2 diabetes|
- Studying Diverse Populations Will Strengthen Precision Medicine
- NIH Establishes Early Version of Personalized Medicine Platform
- Machine-learning to stratify diabetic patients using novel cardiac biomarkers and integrative genomics.
- Precision Medicine for Cardiovascular Prevention (Christie M. Ballantyne, MD) June 27, 2019
- Genetic analyses of diverse populations improves discovery for complex traits.
- Emerging Concepts in Precision Medicine and Cardiovascular Diseases in Racial and Ethnic Minority Populations.