Evidence map›Paper›PMID 40533861›Full record

ArticleDiabetology & metabolic syndrome2025

Utility of type 1 diabetes genetic risk score in a non-European population: insights from an Iranian cohort.

Maryam Moazzam-Jazi, Sara Asgarian, Farzad Hadaegh, Amirabbas Momenan, Leila Mahmoudieh, Leila Najd Hassan-Bonab, Sajedeh Masjoudi, Asieh Zahedi, Hossein Lanjanian, Mahdi Akbarzadeh and 4 more

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Article in Diabetology & metabolic syndrome, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

14 authors.

Maryam Moazzam-JaziCellular and Molecular Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Sara AsgarianCellular and Molecular Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Farzad HadaeghPrevention of Metabolic Disorders Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Amirabbas MomenanPrevention of Metabolic Disorders Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Leila MahmoudiehDepartment of Internal Medicine, Shahid Labbafinejad Medical Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Leila Najd Hassan-BonabCellular and Molecular Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Sajedeh MasjoudiCellular and Molecular Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Asieh ZahediCellular and Molecular Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Hossein LanjanianCellular and Molecular Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Mahdi AkbarzadehCellular and Molecular Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Mehdi HedayatiCellular and Molecular Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Suad AlfadhliDepartment of Medical Laboratory, College of Allied Health Science, Kuwait University, Kuwait, Kuwait.
Fereidoun AziziEndocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Maryam S DaneshpourCellular and Molecular Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran. daneshpour@sbmu.ac.ir.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe present study aimed to investigate the efficiency of the type 1 diabetes genetic risk score (T1D GRS) in distinguishing between patients with type 1 and type 2 diabetes in Iran, an underrepresented population in genomic research.

methodsWe included 13,318 participants in the Tehran-Cardiometabolic Genetic Study (TCGS) cohort, classified into individuals without diabetes, with pre-diabetes, with type 2 diabetes, and with type 1 diabetes. Two T1D GRSs and one T2D GRS were calculated and compared between groups using the Wilcoxon test. The ability of genetic risk scores to discriminate T1D and T2D was assessed using the pROC package.

resultsBoth T1D GRSs displayed significantly higher scores in the T1D group than in other groups. Notably, T1D GRS2 effectively distinguished T1D from T2D in individuals diagnosed before age 40 (AUC = 0.8, P = 5.8e-7). This performance was even stronger for those under age 25 at diagnosis (AUC = 0.88, P = 3.2e-6). Additionally, we observed a higher median of the T1D GRS2 z-score within the T1D group and the T2D GRS z-score within the T2D group, further supporting the specificity of the tested GRSs in the Iranian population.

conclusionOur findings suggest that T1D GRS2, particularly in younger patients, shows promise for improved T1D diagnosis and potentially newborn screening in this population. This could facilitate equitable access to precision medicine approaches for individuals in the area.

Indexed as

Diabetes classificationGenetic risk scorePrecision medicineType 1 diabetes

Identifiers

PMID40533861
PMCPMC12175377

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.