Population-Scale, Genotype-First Characterization of Monogenic Diabetes in 374,973 Multi-Ancestry Individuals from the All of Us Research Program
Hasebe, M.; Yoshiji, S.
Show abstract
OBJECTIVE To characterize the prevalence and penetrance of maturity-onset diabetes of the young (MODY) in a multi-ancestry population using a genotype-first design. RESEARCH DESIGN AND METHODS We analyzed whole-genome sequencing and clinical data from 374,973 unrelated All of Us participants (42.0% non-European ancestry). We identified pathogenic or likely pathogenic (P/LP) variants in 10 established MODY genes and assessed carrier prevalence, diabetes penetrance, and glycemic profiles. We evaluated age-dependent diabetes risk by comparing carriers with non-carriers stratified by type 2 diabetes polygenic risk score (T2D PRS). RESULTS We identified 370 carriers of P/LP MODY gene variants (0.099%; 1 in 1,013), with similar carrier prevalence among European- and African-ancestry participants (0.105% in both groups). Diabetes penetrance was incomplete (13.4% by age 40; 43.5% by age 60) and varied by etiology: highest for GCK (56.0% by age 60), intermediate for HNF genes (HNF1A/HNF1B/HNF4A; 45.4%), and lowest for non-GCK/HNF genes (ABCC8/INS/KCNJ11/NEUROD1/PDX1/RFX6; 29.0%). In multivariable Cox models using non-carriers in the middle 80% of the T2D PRS as the reference, non-GCK/HNF gene variant carriers had modestly increased diabetes risk (HR, 1.57), similar to non-carriers in the top 10% of T2D PRS (HR, 1.64). These associations were observed in both European- and non-European-ancestry individuals. HbA1c profiles differed by etiology, with stable mild hyperglycemia in GCK variant carriers and greater variability among HNF and non-GCK/HNF gene variant carriers. CONCLUSIONS MODY gene variants showed incomplete, etiology-dependent penetrance across ancestries. Carriers of P/LP variants in lower-penetrance genes had diabetes risk comparable to that of non-carriers with high polygenic susceptibility.
Matching journals
The top 4 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Genome-Wide Association Meta-Analysis Using a Recessive Model Illuminates Genetic Architecture of Type 2 Diabetes 94%
- Integrative proteogenomic analyses provide novel interpretations of type 1 diabetes risk loci through circulating proteins 94%
- Impacts of COVID-19 on glycemia and risk of diabetic ketoacidosis 94%
Similar papers in this journal
- Early metabolic features of genetic liability to type 2 diabetes: cohort study with repeated metabolomics across early life 94%
- Specific type 1 diabetes risk genes underpin age-at-diagnosis and indicate joint defects in immunity, beta-cell fragility and responses to viral infections in early-onset disease. 93%
- Poor in-utero growth, reduced beta cell secretion and high plasma glucose in childhood are harbingers of glucose intolerance in young Indians 93%
Similar papers in this journal
- The power of TOPMed imputation for the discovery of Latino enriched rare variants associated with type 2 diabetes 95%
- Epigenome-wide association study of incident type 2 diabetes in Black and White participants from the Atherosclerosis Risk in Communities Study 94%
- Polygenic Background Contributes to GCK-MODY Clinical Presentation and Glycaemic Variability 93%
Similar papers in this journal
- Inhibition of the Eukaryotic Initiation Factor-2-α Kinase PERK Decreases Risk of Autoimmune Diabetes in Mice 92%
- Fatty Acid Transport Protein-2 (FATP2) Inhibition Enhances Glucose Tolerance through α-Cell-mediated GLP-1 Secretion 91%
- Targeting Specific Kinase Substrates Rescues Increased Colitis Severity Induced by the Crohn's Disease-Linked LRRK2-N2081D Variant 89%
Similar papers in this journal
- Validation of a Trans-Ancestry Polygenic Risk Score for Type 2 Diabetes in Diverse Populations 92%
- Type 2 Diabetes risk alleles in Peptidyl-glycine Alpha-amidating Monooxygenase influence GLP-1 levels and response to GLP-1 Receptor Agonists 92%
- Novel protein-altering variants associated with serum apolipoprotein and lipid levels 91%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.