Type 1 Diabetes Genetic Risk Score classifies diabetes subtypes in Indians: Impact of HLA diversity on the lower discriminative ability
Sankareswaran, A.; Kunte, P.; Fraser, D. P.; Shaik, M.; Weedon, M. N.; Oram, R. A.; Yajnik, C. S.; Chandak, G. R.
Show abstract
ObjectivesGenetic Risk scores (GRS) classify diabetes types, type 1 (T1D) and type 2 (T2D) in Europeans but the power is limited in other ancestries. We explored the performance of T1DGRS and potential reasons for inferior discrimination ability in diabetes-type classification in Indians. Research Design and MethodsIn a well-characterized Indian cohort comprising 645 clinically diagnosed T1D, 1153 T2D and 327 controls, we estimated the discriminative ability of T1DGRS (comprising 67 SNPs from Europeans) using receiver operating characteristics-area under the curve (ROC-AUC). We also compared the islet autoantibody status (AA), frequency and effect size of various HLA alleles/haplotypes between Indians and Europeans. ResultsThe T1DGRS was discriminative of T1D from T2D and controls but the ability is lower in Indians than Europeans (AUC=0.83 vs 0.92 respectively, p<0.0001). The T1DGRS was higher in AA-positive patients compared to AA-negative patients [13.01 (12.79-13.23) vs 12.09 (11.64-12.56)], p<0.0001) and showed greater discrimination in the AA-positive T1D (ROC-AUC 0.85). While association of common HLA-DQA1[~]HLA-DQB1 haplotypes with T1D is replicated, important differences in the risk allele frequency, nature/direction and magnitude of association between Indians and Europeans were noted. ConclusionsA T1DGRS derived from Europeans is discriminative of T1D in Indians, highlighting similarity in heritability of T1D. Differences in allele frequency, effect size and directionality, especially in the HLA region are important contributors to inferior discrimination performance of T1DGRS in Indians. Further studies of diverse populations may improve its performance.
Matching journals
The top 3 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Development and validation of a Trans-Ancestry polygenic risk score for Type 1 Diabetes 96%
- Subgroups of young type 2 diabetes in India reveal insulin deficiency as a major driver 94%
- Young onset diabetes in Asian Indians is associated with lower measured and genetically determined beta-cell function: an INSPIRED study 94%
Similar papers in this journal
- 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. 94%
- Poor in-utero growth, reduced beta cell secretion and high plasma glucose in childhood are harbingers of glucose intolerance in young Indians 94%
- The impact of ancestry on performance of type 1 diabetes genetic risk scores: high discrimination performance is maintained in African ancestry populations, but population specific thresholds may improve risk prediction 93%
Similar papers in this journal
- Impacts of COVID-19 on glycemia and risk of diabetic ketoacidosis 95%
- Improved specificity of glutamate decarboxylase 65 autoantibody measurement using luciferase-based immunoprecipitation system (LIPS) assays 94%
- MODY is prevalent in later-onset diabetes, has potential for targeted therapy but is challenging to identify 93%
Similar papers in this journal
- Intra- and inter-individual metabolic profiling highlights carnitine and lysophosphatidylcholine pathways as key molecular defects in type-2 diabetes 92%
- Identification of metabolomics biomarkers for type 2 diabetes: triangulating evidence from longitudinal and Mendelian randomization analyses 92%
- Can increasing years of schooling reduce type 2 diabetes (T2D)?--Evidence from a Mendelian randomization of T2D and 10 of its risk factors. 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.