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Diabetes Mellitus: Type 2 and Gestational01:22

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Type 2 diabetes, characterized by insulin resistance, arises when the insulin receptors on cells lose responsiveness to insulin, diminishing the cell's capacity to take up glucose, resulting in elevated blood glucose levels. To receive a diagnosis of Type 2 diabetes, a series of blood glucose tests are necessary to assess whether the blood glucose falls within normal parameters. If the result is out of the normal range, a patient may be diagnosed as prediabetic or diabetic, depending on the...
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Diabetes mellitus is a chronic metabolic disorder characterized by hyperglycemia. The four categories of diabetes are type 1 diabetes, type 2 diabetes, other specific types of diabetes, and gestational diabetes.
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For most patients, experiencing several weeks of polyuria, polydipsia, fatigue, and significant weight loss may indicate the presence of diabetes. Furthermore, adults displaying the phenotypic appearance of type 2 diabetes (particularly those who are obese and not initially insulin-requiring), may have islet cell autoantibodies, suggesting autoimmune-mediated β cell destruction and a diagnosis of latent autoimmune diabetes of adults (LADA). The categorization of glucose homeostasis is...
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Carbohydrates are polymers composed of molecules containing atoms of carbon, hydrogen and oxygen. One gram of carbohydrate can provide four kilo-calories of energy, which makes it the most efficient instant energy source.
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Genome-wide association studies or GWAS are used to identify whether common SNPs are associated with certain diseases. Suppose specific SNPs are more frequently observed in individuals with a particular disease than those without the disease. In that case, those SNPs are said to be associated with the disease. Chi-square analysis is performed to check the probability of the allele likely to be associated with the disease.
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Updated: Mar 29, 2026

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Understanding Patient Perceptions of Genetic Testing to Predict Type 2 Diabetes Risk After Gestational Diabetes.

Ria Patel1, Martha Christodoulou2, Zoe Taylor2

  • 1University College London Medical School, London, UK.

Endocrinology, Diabetes & Metabolism
|March 27, 2026
PubMed
Summary
This summary is machine-generated.

Women with gestational diabetes mellitus (GDM) show high willingness for genetic risk testing to predict type 2 diabetes (T2DM). Findings emphasize tailoring communication and support for diverse populations to improve preventative care.

Keywords:
acceptabilitygenetic risk predictiongestational diabetes mellitushealth behaviourhealth equitypatient educationrisk communicationtype 2 diabetes mellitus

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Area of Science:

  • Genetics and genomics
  • Public health
  • Endocrinology

Background:

  • Gestational diabetes mellitus (GDM) significantly increases women's lifetime risk of developing type 2 diabetes (T2DM).
  • Genetic risk-predictive testing offers a potential strategy to identify high-risk individuals for targeted T2DM prevention.
  • Assessing patient perceptions is crucial for the successful implementation of genetic risk scores in clinical practice.

Purpose of the Study:

  • To evaluate women's willingness to undergo genetic risk testing for T2DM prediction.
  • To explore attitudes, lifestyle motivations, and data concerns related to genetic testing among women with GDM.
  • To inform the future implementation of genetic risk scores in GDM care pathways.

Main Methods:

  • An online survey administered to 112 women with current or prior GDM.
  • Assessment of willingness for genetic and non-genetic risk testing, attitudes, lifestyle motivation, and data-use concerns.
  • Quantitative analysis complemented by thematic analysis of qualitative free-text responses.

Main Results:

  • High willingness for both genetic (83.9%) and non-genetic (90.2%) testing was observed, with no significant difference.
  • White participants reported higher willingness for genetic testing and support for NHS availability compared to Non-White participants.
  • Positive attitudes toward genetic testing correlated with willingness to test and support for NHS availability; younger participants showed greater lifestyle modification motivation.

Conclusions:

  • Women with GDM are receptive to genetic risk prediction for T2DM, with minimal data usage concerns.
  • Demographic variations in acceptance and motivation necessitate inclusive communication strategies and tailored lifestyle support.
  • Integrating genetic testing into postnatal GDM care requires careful consideration of these factors for effective T2DM prevention.