RESUMEN
AIMS: Monogenic diabetes (also known as maturity-onset diabetes of the young or MODY) affects a subset of individuals with young-onset diabetes. We report our diagnostic work-up experience for such individuals. METHODS: Serving as a regional secondary-care diabetes centre in a multi-ethnic population, we receive referrals to evaluate MODY from endocrinologists in both public and private practice. Key criteria for consideration of genetic-testing are onset age ≤ 35, negative GAD antibody, no history of diabetic ketoacidosis, strong family history of diabetes and BMI < 32.5 kg/m2. A monogenic diabetes registry was set up since 2017 to study their disease trajectories. RESULTS: We identified 30 out of 175 (17.1%) individuals with likely pathogenic/pathogenic variants. Importantly, 29 out of 30 (96.7%) occurred in clinically actionable genes. A continuous scale combining BMI, hs-CRP and HDL provided 80% (P < 0.001) diagnostic accuracy for MODY in our cohort, achieving a negative predictive value of 0.93 and sensitivity at 0.76. Subtyping MODY prior to genetic testing (if desired) will require specialist domain knowledge and additional biomarkers due to its genetic heterogeneity. CONCLUSIONS: Through systematic and structured evaluation, the prevalence of MODY is non-trivial (17.1%) in a referral centre. Diagnostic algorithm combining clinical criteria and readily available biomarkers can support clinical decision for MODY genetic testing.
Asunto(s)
Biomarcadores/sangre , Diabetes Mellitus Tipo 2/epidemiología , Adulto , Femenino , Humanos , Masculino , Derivación y Consulta , SingapurRESUMEN
AIMS: Young-onset T2D (YT2D) is associated with a more fulminant course and greater propensity for diabetic complications. The association of PAX4 R192H (rs2233580) variation with YT2D was inconsistent partly because of its Asian-specificity and under-representation of Asians in international consortiums. Interestingly, in our preliminary YT2D (meanâ¯=â¯25â¯years old) cohort, the prevalence of PAX4 R192H variant was remarkably higher (21.4%) than the general population. Therefore, we sought to determine whether PAX4 R192H is associated with younger onset of T2D in our East Asian (Chinese) population. METHODS: Genotyping of PAX4 R192H was carried out using Illumina OmniExpress BeadChips as part of a genome-wide association study. Data analysis was performed using SPSS Ver. 22. RESULTS: PAX4 R192H genotype was associated with younger onset age (CC: 47.1, CT: 46.0, TT: 42.6) after adjusting for gender, Fâ¯=â¯5.402, pâ¯=â¯0.005. Independently, onset of diabetes was younger among males by 2.52â¯years, 95% CI [-3.45, -1.59], pâ¯<â¯0.0001. HOMA-IR and HOMA-%B were not significantly different across genotypes for a subset (nâ¯=â¯1045) of the cohort. CONCLUSIONS: Minor allele (T) of PAX4 R192H is associated with younger onset diabetes among Chinese in Singapore. Determining this genotype is important for identifying at-risk individuals for earlier onset diabetes and diabetic complications.