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Towards a type 2 diabetes precision diagnosis approach with glycated haemoglobin (HbA1c) measurement

In plain English

AI plain-English summary

Millions of people are being diagnosed with type 2 diabetes using a blood test that can give misleading results depending on their genetics, age, or ethnicity. The standard HbA1c test measures average blood sugar over the past two to three months, but it is also influenced by non-glycaemic factors—such as inherited genetic variants and ancestry—that vary between individuals. This means a single diagnostic threshold can over-diagnose diabetes in some people and miss it in others, particularly among older adults and UK minority populations, widening health inequalities. This project aims to identify the genetic and physiological factors that distort HbA1c readings, then develop diagnostic models that adjust the threshold for each person. If successful, it would replace the current one-size-fits-all approach with a precision diagnosis: a test that reflects the same underlying level of glycaemia regardless of who takes it. That could reduce unnecessary treatment for some patients and catch missed cases in others, making diabetes diagnosis fairer and more accurate across diverse populations.

View original technical description
Diabetes diagnosis is crucial to ensure appropriate treatment reduces the risks of life threatening complications associated with raised blood glucose. Since 2011, the measurement of glycated haemoglobin (HbA1c) has become the routine test used to diagnose type 2 diabetes (T2D) in the UK, and most of the world. HbA1c reflects glycaemia in the preceding 8 -12 weeks for any specific individual. However, our and others' work shows HbA1c is also altered between individuals by non-glycaemic factors such as genetic variants, ancestry and age. This means that the current use of a single diagnostic threshold for T2D will result in both over- and under-diagnosis, especially in UK minorities and older individuals, potentially increasing health disparities. Our goal is to better understand the non-glycaemic factors altering HbA1c so when it is used for T2D diagnosis it reflects a consistent level of glycaemia. We will identify genetic variants altering HbA1c in diverse populations; conduct participant physiological and longitudinal studies to assess T2D diagnosis and progression to complications; and develop diagnostic models leveraging additional clinical and genetic information, so that diagnosis reflects consistent underlying glycaemia. This will allow us to develop a precision diagnosis approach to define T2D diagnosis based on individualised HbA1c thresholds.

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Researchers

Inês Barroso (EPMC Awardee)Sarah Finer (EPMC Awardee)Trevelyan McKinley (EPMC Awardee)Veline L'Esperance (EPMC Awardee)

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Original classification

Discovery Award

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