Characterizing Common and Rare Variations in Nontraditional Glycemic Biomarkers Using Multivariate Approaches on
Debashree Ray1,2, Stephanie J Loomis3, Sowmya Venkataraghavan1
1Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD.
Diabetes
|June 13, 2024
Summary
This study identifies novel genetic links to type 2 diabetes using glycated albumin and fructosamine biomarkers. It highlights new genes and pathways influencing diabetes risk, particularly in diverse ancestries.
Area of Science:
- Genetics
- Metabolic Diseases
- Biomarkers
Background:
- Nontraditional glycemic biomarkers like glycated albumin and fructosamine offer insights into type 2 diabetes (T2D) genetics.
- Understanding the genetic architecture of T2D is crucial for developing targeted prevention and treatment strategies.
Purpose of the Study:
- To identify novel genetic loci associated with glycated albumin and fructosamine.
- To explore ancestry- and sex-specific genetic influences on these glycemic biomarkers.
- To investigate gene-burden associations with these biomarkers using whole-exome sequencing data.
Main Methods:
- Genome-wide association study (GWAS) of glycated albumin and fructosamine in White and Black participants from the ARIC study.
- Multiomics gene-mapping strategies in diabetes-relevant tissues.
- Multiphenotype gene-burden tests on whole-exome sequence data.
Main Results:
- Discovered two genome-wide significant loci, including a known T2D gene (ARAP1/STARD10) and a novel region (UGT1A).
- Identified ancestry- and sex-specific loci (e.g., PRKCA, FCGRT, TEX29).
- Found ten exome-wide significant variant sets in multiancestry analysis, with notable enrichment of rare variants in African ancestry for CD1D, EGFL7/AGPAT2, and MIR126.
Conclusions:
- Leveraging joint patterns of related biomarkers across diverse ancestries improves genetic locus and effector gene discovery.
- Most identified loci and genes implicate glycemic pathways, with many not previously linked to T2D.
- Further investigation of these findings can enhance understanding of T2D risk.
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