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Glycaemic traits fasting insulin (FI), fasting glucose (FG), 2-hour glucose (2hGlu) and glycated haemoglobin (HbA1c) are used to diagnose and monitor type 2 diabetes (T2D). MAGIC (Meta-Analysis of Glucose and Insulin-related traits Consortium) identified 242 loci associated with these traits in 281,416 individuals, from 6 ancestries. European (EUR) ancestry fine-mapping resulted in credible sets accounting for 99% of the posterior probability of association (99CS) with a median of 55 SNPs. Trans-ancestry (TA) fine-mapping led to 99CS with a median of 45 SNPs. Here, we investigated whether fine-mapping resolution could be improved by leveraging data across multiple related traits. We used the novel method FLexible And SHared information Fine-Mapping (flashfm), which takes advantage of sharing of information between traits. We compared its performance with single-trait FINEMAP results. We conducted EUR fine-mapping for 53 loci associated with ≥2 glycaemic traits (p Disclosure J. Soenksen: None. J. Chen: None. J. L. Asimit: None. Magic: n/a. I. Barroso: Stock/Shareholder; Self; Incyte Corporation, Stock/Shareholder; Spouse/Partner; GlaxoSmithKline plc. Funding Research England; Medical Research Council (MR/R021368/1)