Evidence map›Paper›PMID 40399988›Full record

SynthesisJournal of biomedical science2025

Exploring the genomic and transcriptomic profiles of glycemic traits and drug repurposing.

Min-Rou Lin, Cheng-Lin Tsai, Cai-Sian Liao, Chun-Yu Wei, Wan-Hsuan Chou, Tzu-Hung Hsiao, Wei-Chiao Chang

Abstract readMeta-Analysis
In one paragraph

Synthesis in Journal of biomedical science, 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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1 · What the graph read from it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Min-Rou Lin *Department of Clinical Pharmacy, School of Pharmacy, Taipei Medical University, Taipei, 110, Taiwan.
Cheng-Lin Tsai *Department of Clinical Pharmacy, School of Pharmacy, Taipei Medical University, Taipei, 110, Taiwan.
Cai-Sian LiaoBioinformatics Program, Institute of Statistical Science, Taiwan International Graduate Program, Academia Sinica, Taipei, 110, Taiwan.
Chun-Yu WeiDepartment of Clinical Pharmacy, School of Pharmacy, Taipei Medical University, Taipei, 110, Taiwan.
Wan-Hsuan ChouDepartment of Clinical Pharmacy, School of Pharmacy, Taipei Medical University, Taipei, 110, Taiwan.
Tzu-Hung HsiaoDepartment of Medical Research, Taichung Veterans General Hospital, 1650 Taiwan Boulevard Sect. 4, Taichung, 407219, Taiwan. thsiao@vghtc.gov.tw.
Wei-Chiao ChangDepartment of Clinical Pharmacy, School of Pharmacy, Taipei Medical University, Taipei, 110, Taiwan. wcc@tmu.edu.tw.

Funding

National Science and Technology Council NSTC112-2320-B-038-026-MY3
6 · The paper itself

Abstract

backgroundType 2 diabetes is an increasingly prevalent metabolic disorder with moderate to high heritability. Glycemic indices are crucial for diagnosing and monitoring the disease. Previous genome-wide association study (GWAS) have identified several risk loci associated with type 2 diabetes, but data from the Taiwanese population remain relatively sparse and primarily focus on type 2 diabetes status rather than glycemic trait levels.

methodsWe conducted a comprehensive genome-wide meta-analysis to explore the genetics of glycemic traits. The study incorporated a community-based cohort of 145,468 individuals and a hospital-based cohort of 35,395 individuals. The study integrated genetics, transcriptomics, biological pathway analyses, polygenic risk score calculation, and drug repurposing for type 2 diabetes.

resultsThis study assessed hemoglobin A1c and fasting glucose levels, validating known loci (FN3K, SPC25, MTNR1B, and FOXA2) and discovering new genes, including MAEA and PRC1. Additionally, we found that diabetes, blood lipids, and liver- and kidney-related traits share genetic foundations with glycemic traits. A higher PRS was associated with an increased risk of type 2 diabetes. Finally, eight repurposed drugs were identified with evidence to regulate blood glucose levels, offering new avenues for the management and treatment of type 2 diabetes.

conclusionsThis research illuminates the unique genetic landscape of glucose regulation in Taiwanese Han population, providing valuable insights to guide future treatment strategies for type 2 diabetes.

Indexed as

Blood GlucoseDiabetes Mellitus, Type 2Drug RepositioningTranscriptomeFemaleGenome-Wide Association StudyGlycated HemoglobinHumansMaleMiddle AgedTaiwanBlood GlucoseGlycated HemoglobinDrug repurposingFasting glucoseGenome-wide association studyGlycemic traitsHemoglobin A1cPolygenic risk scoreTranscriptome-wide association studyType 2 diabetes

Identifiers

PMID40399988
PMCPMC12096723

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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.