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Genetic Insights into HbA1c Levels in Healthy Individuals

Study reveals genetic factors affecting HbA1c levels in those without diabetes.

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Table of Contents

Glycated hemoglobin (HbA1c) is a key measure used to check for type 2 diabetes (T2D). It helps doctors see how well blood sugar levels have been controlled over time and can indicate the risk of problems that might arise from diabetes. Researchers have found that the levels of HbA1c can be influenced by genetics, with many specific areas in our DNA linked to these levels identified. While there is much research on short-term changes in HbA1c, there is less focus on long-term changes, particularly in people who do not have diabetes. Understanding these long-term trends is essential for better pre-diabetes diagnosis and promoting healthy aging.

Overview of the Long Life Family Study

The Long Life Family Study (LLFS) examines families with many members living to an old age. It focuses on factors that contribute to a long and healthy life. The study included nearly 5,000 participants from 539 families across the United States and Denmark. They collected various data points, including health measurements and blood tests, during visits over several years. HbA1c levels were measured carefully in a specialized laboratory that ensured accuracy.

Study Design

The study aimed to find and confirm areas in the Genome that relate to changes in HbA1c levels over a period. Researchers looked at data from the LLFS and compared it to another study called the Framingham Heart Study to verify their findings.

Data Collection and Methods

Researchers gathered data from participants over time. They collected samples for analyzing DNA, RNA, and various Metabolites, which are small molecules that can tell us more about biological processes. This included methods like sequencing DNA to find variations that could influence HbA1c levels.

Key Findings

In the LLFS, researchers identified a significant region in the genome that seemed to affect HbA1c levels. They found that heritability, or the extent to which genetics influence these levels, was around 36%. They also noted that several areas of the genome had been linked to other related health conditions, such as blood sugar levels and heart disease.

They discovered a specific genetic Variant in a gene called ARHGAP44 that was strongly associated with changes in HbA1c levels. This variant was found in families with the highest genetic connection to HbA1c changes. The researchers continued to look at other data to see if this gene might also have links to lipid levels, which relate to fats in the body, but found no strong evidence for this.

Replication of Findings

To ensure the findings from the LLFS were valid, researchers checked their results against data from the Framingham Heart Study. They identified another variant nearby that gave additional support to their findings while also confirming that genetic factors play a role in HbA1c changes.

Importance of the Research

This study emphasizes the importance of understanding genetic influences on HbA1c levels, especially over time. The ability to track changes and understand what drives those changes can help with the prevention of diabetes and other related health issues. By studying groups without diabetes, researchers can better identify who is at risk and work on earlier interventions.

Potential Limitations

While this research has its strengths, such as a large sample size and comprehensive data collection, there are also limitations. Genetic differences between groups studied can affect results. Differences in lifestyle and health between the LLFS participants and the general population might lead to skewed data. Moreover, some data may be missing, which could impact the accuracy of their conclusions.

Conclusion

This extensive research highlights a potential new link between genetics and changes in HbA1c levels. The findings could lead to better understanding of how these changes occur over time, particularly in those not yet diagnosed with diabetes. Future research will need to confirm these results in larger and more varied groups to solidify our understanding of HbA1c and its implications for health. Understanding these links is crucial for developing effective strategies to diagnose and prevent diabetes as well as promote healthy aging.

Original Source

Title: A Novel Gene ARHGAP44 for Longitudinal Changes in Glycated Hemoglobin (HbA1c) in Subjects without Type 2 Diabetes: Evidence from the Long Life Family Study (LLFS) and the Framingham Offspring Study (FOS)

Abstract: Glycated hemoglobin (HbA1c) indicates average glucose levels over three months and is associated with insulin resistance and type 2 diabetes (T2D). Longitudinal changes in HbA1c ({Delta}HbA1c) are also associated with aging processes, cognitive performance, and mortality. We analyzed {Delta}HbA1c in 1,886 non-diabetic Europeans from the Long Life Family Study to uncover gene variants influencing {Delta}HbA1c. Using growth curve modeling adjusted for multiple covariates, we derived {Delta}HbA1c and conducted linkage-guided sequence analysis. Our genome-wide linkage scan identified a significant locus on 17p12. In-depth analysis of this locus revealed a variant rs56340929 (explaining 27% of the linkage peak) in the ARHGAP44 gene that was significantly associated with {Delta}HbA1c. RNA transcription of ARHGAP44 was associated with {Delta}HbA1c. The Framingham Offspring Study data further supported these findings on the gene level. Together, we found a novel gene ARHGAP44 for {Delta}HbA1c in family members without T2D. Follow-up studies using longitudinal omics data in large independent cohorts are warranted.

Authors: Ping An, S. Wang, P. Lenzini, B. Thygarajan, J. H. Lee, B. N. Vardarajan, A. Yashin, I. Miljkovic, E. W. Daw, S. J. Lin, G. Patti, M. Brent, J. M. Zmuda, T. T. Perls, K. Christensen, M. A. Province

Last Update: 2024-05-21 00:00:00

Language: English

Source URL: https://www.biorxiv.org/content/10.1101/2024.05.16.594575

Source PDF: https://www.biorxiv.org/content/10.1101/2024.05.16.594575.full.pdf

Licence: https://creativecommons.org/licenses/by/4.0/

Changes: This summary was created with assistance from AI and may have inaccuracies. For accurate information, please refer to the original source documents linked here.

Thank you to biorxiv for use of its open access interoperability.

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