<b>Genome-wide association study of hypoglycemia in adults with diabetes in the Million Veteran Program</b>

<p dir="ltr">Hypoglycemia is a preventable adverse treatment effect in diabetes patients, but genetic markers to identify those with increased susceptibility are lacking. We performed a case/control genome-wide association study (GWAS) of hypoglycemia in US Million Veteran Program (MVP) participants with medication-treated diabetes mellitus. Cases had an outpatient random serum/plasma glucose <70 mg/dL or an emergency department visit for hypoglycemia. GWAS was stratified by race/ethnicity, adjusted for age at MVP enrollment, sex, and top 10 population-specific principal components, followed by multi-population meta-analysis. Secondary analyses examined genetic associations with hypoglycemia stratified by diabetes medication exposure as well as replication in UK Biobank and the Action to Control Cardiovascular Risk in Diabetes clinical trial. The study included 72,244 (22,045 cases) non-Hispanic White participants, 24,162 (10,441 cases) non-Hispanic Black participants, and 9,196 (2,800 cases) Hispanic participants. Four loci had genome-wide significant associations with hypoglycemia in multi-population meta-analysis: rs12712928 (chromosome 2, SIX2/SIX3 locus), rs1064173 (chromosome 6, HLA-DQB1/DQA2 locus), rs35198068 (chromosome 10, TCF7L2 locus), and rs113748381 (chromosome 17, SCL16A11 locus). All four loci replicated in at least one independent cohort, and the magnitude of associations with hypoglycemia varied by diabetes type. Genome-wide analyses may complement candidate pharmacogenetic studies to identify risk markers of adverse drug effects.</p>

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Publication Details

Published
2025-09-19
DOI
https://doi.org/10.2337/figshare.29980246
Primary Topic
Diabetes Management and Research
Type
article
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article

Genome-wide association study of hypoglycemia in adults with diabetes in the Million Veteran Program

Aaron Leong, Peter D. Reaven, Sridharan Raghavan, Qin Hui et al.
Diabetes Management and Research
article

Genome-wide association study of hypoglycemia in adults with diabetes in the Million Veteran Program

Aaron Leong, Peter D. Reaven, Sridharan Raghavan, Qin Hui, Brian Charest, James B. Meigs, Kyong‐Mi Chang, Elizabeth Litkowski, A. E. Jensen, Ethan M. Lange, Mary K. Rhee, Million Veteran Program, Jin Zhou, Zeyuan Wang, Leslie A. Lange, Yan Sun, L S Phillips
article en

Abstract

<p dir="ltr">Hypoglycemia is a preventable adverse treatment effect in diabetes patients, but genetic markers to identify those with increased susceptibility are lacking. We performed a case/control genome-wide association study (GWAS) of hypoglycemia in US Million Veteran Program (MVP) participants with medication-treated diabetes mellitus. Cases had an outpatient random serum/plasma glucose <70 mg/dL or an emergency department visit for hypoglycemia. GWAS was stratified by race/ethnicity, adjusted for age at MVP enrollment, sex, and top 10 population-specific principal components, followed by multi-population meta-analysis. Secondary analyses examined genetic associations with hypoglycemia stratified by diabetes medication exposure as well as replication in UK Biobank and the Action to Control Cardiovascular Risk in Diabetes clinical trial. The study included 72,244 (22,045 cases) non-Hispanic White participants, 24,162 (10,441 cases) non-Hispanic Black participants, and 9,196 (2,800 cases) Hispanic participants. Four loci had genome-wide significant associations with hypoglycemia in multi-population meta-analysis: rs12712928 (chromosome 2, SIX2/SIX3 locus), rs1064173 (chromosome 6, HLA-DQB1/DQA2 locus), rs35198068 (chromosome 10, TCF7L2 locus), and rs113748381 (chromosome 17, SCL16A11 locus). All four loci replicated in at least one independent cohort, and the magnitude of associations with hypoglycemia varied by diabetes type. Genome-wide analyses may complement candidate pharmacogenetic studies to identify risk markers of adverse drug effects.</p>

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Diabetes Management and Research
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