Data repository for SLC22A1 (OCT1) variants and genotype-associated differences in glycaemic response to metformin in Indigenous Bangladeshi adults with type 2 diabetes

This dataset supports the study “SLC22A1 (OCT1) variants and genotype-associated differences in glycaemic response to metformin in Indigenous Bangladeshi adults with type 2 diabetes: An integrated pharmacogenetic and in silico study.” The repository contains de-identified participant-level clinical and pharmacogenomic data, main manuscript figures, genotyping gel and Sanger sequencing records, supporting information, molecular docking and PLIP interaction data, molecular-dynamics trajectory analyses, and post-MD MM-GBSA results. The study included 103 newly diagnosed, previously untreated adults with type 2 diabetes from Indigenous communities of the Chittagong Hill Tracts, Bangladesh, followed for three months after initiation of metformin therapy. The study evaluated SLC22A1 rs628031 (M408V) and rs12208357 (R61C). Clinical analyses examined genotype-associated differences in glycaemic response, while computational analyses included OCT1 structural modelling, molecular docking, protein–ligand interaction profiling, 100-ns molecular-dynamics simulations, and post-MD MM-GBSA analysis. The repository is organised into folders containing main figures, genotyping and Sanger data, supporting information, computational raw data, and ethics/study documents, together with the de-identified participant dataset. A README file describing the repository structure and individual files is included. Participant data have been prepared for research sharing without direct personal names. Users should not attempt to re-identify participants or combine these data with external information for re-identification. Computational docking and MM-GBSA values should be interpreted as comparative estimates rather than direct experimental measurements of OCT1 transport or binding affinity.