학술논문

Impact of Rare and Common Genetic Variants on Diabetes Diagnosis by Hemoglobin A1c in Multi-Ancestry Cohorts: The Trans-Omics for Precision Medicine Program
Document Type
article
Source
American Journal of Human Genetics. 105(4)
Subject
Epidemiology
Biological Sciences
Health Sciences
Genetics
Prevention
Diabetes
Clinical Research
Metabolic and endocrine
Good Health and Well Being
Cohort Studies
Diabetes Mellitus
Female
Genetic Variation
Glycated Hemoglobin
Humans
Male
Polymorphism
Single Nucleotide
Population Groups
Precision Medicine
TOPMed Diabetes Working Group
TOPMed Hematology Working Group
TOPMed Hemostasis Working Group
National Heart
Lung
and Blood Institute TOPMed Consortium
The Trans-Omics for Precision Medicine (TOPMed) program
hemoglobin A1c
multi-ancestry sample
whole-genome sequence association analyses
Medical and Health Sciences
Genetics & Heredity
Biological sciences
Biomedical and clinical sciences
Health sciences
Language
Abstract
Hemoglobin A1c (HbA1c) is widely used to diagnose diabetes and assess glycemic control in individuals with diabetes. However, nonglycemic determinants, including genetic variation, may influence how accurately HbA1c reflects underlying glycemia. Analyzing the NHLBI Trans-Omics for Precision Medicine (TOPMed) sequence data in 10,338 individuals from five studies and four ancestries (6,158 Europeans, 3,123 African-Americans, 650 Hispanics, and 407 East Asians), we confirmed five regions associated with HbA1c (GCK in Europeans and African-Americans, HK1 in Europeans and Hispanics, FN3K and/or FN3KRP in Europeans, and G6PD in African-Americans and Hispanics) and we identified an African-ancestry-specific low-frequency variant (rs1039215 in HBG2 and HBE1, minor allele frequency (MAF) = 0.03). The most associated G6PD variant (rs1050828-T, p.Val98Met, MAF = 12% in African-Americans, MAF = 2% in Hispanics) lowered HbA1c (-0.88% in hemizygous males, -0.34% in heterozygous females) and explained 23% of HbA1c variance in African-Americans and 4% in Hispanics. Additionally, we identified a rare distinct G6PD coding variant (rs76723693, p.Leu353Pro, MAF = 0.5%; -0.98% in hemizygous males, -0.46% in heterozygous females) and detected significant association with HbA1c when aggregating rare missense variants in G6PD. We observed similar magnitude and direction of effects for rs1039215 (HBG2) and rs76723693 (G6PD) in the two largest TOPMed African American cohorts, and we replicated the rs76723693 association in the UK Biobank African-ancestry participants. These variants in G6PD and HBG2 were monomorphic in the European and Asian samples. African or Hispanic ancestry individuals carrying G6PD variants may be underdiagnosed for diabetes when screened with HbA1c. Thus, assessment of these variants should be considered for incorporation into precision medicine approaches for diabetes diagnosis.