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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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Diabetes in the post-GWAS era.

Constantin Polychronakos1, Maha Alriyami1

  • 1The Endocrine Genetics Laboratory, Child Health and Human Development Program and Department of Pediatrics, McGill University Health Centre Research Institute, Montreal, Quebec, Canada.

Nature Genetics
|December 2, 2015
PubMed
Summary

Genetic fine-mapping studies struggle to identify specific gene-variant links for complex traits. Integrating functional chromatin maps with genetic data offers a promising solution for pinpointing causal variants.

Area of Science:

  • Genetics
  • Genomics
  • Molecular Biology

Background:

  • Genetic fine-mapping of complex traits is advancing with large datasets and high-resolution arrays.
  • However, current methods often fail to pinpoint unique variant-gene associations.
  • This limitation hinders the understanding of disease mechanisms.

Purpose of the Study:

  • To overcome the limitations of traditional genetic fine-mapping.
  • To demonstrate the utility of integrating functional chromatin data with genetic association studies.
  • To improve the identification of causal variants for complex traits like type 2 diabetes.

Main Methods:

  • Utilized large-scale genetic data and high-resolution genotyping arrays.
  • Employed comprehensive imputation techniques.

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  • Integrated genetic findings with sophisticated maps of functional chromatin elements.

    • Main Results:

    • The study successfully demonstrated a method to break the logjam in genetic fine-mapping.
    • Superimposing genetic results on functional chromatin maps enhanced the precision of variant identification.
    • A compelling case study involving type 2 diabetes was presented.

    Conclusions:

    • Integrating functional genomics data is crucial for advancing genetic fine-mapping.
    • This approach promises to pinpoint unique variant-gene combinations more effectively.
    • The study provides a powerful strategy for dissecting the genetic architecture of complex diseases.