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Kumar S, Behari J, Sisodia R

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Authors not listed · 2012

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This diabetes genetics study was incorrectly included in EMF research databases.

Plain English Summary

Summary written for general audiences

This study appears to be misclassified in the EMF database, as it actually examined genetic variants associated with type 2 diabetes in nearly 150,000 people. The researchers identified ten new genetic locations linked to diabetes risk and found that some genetic factors affect men and women differently.

Why This Matters

This study has been incorrectly categorized in our EMF research database. The research actually focused on identifying genetic variants that increase susceptibility to type 2 diabetes, not electromagnetic field exposure effects. The authors analyzed genetic data from 34,840 diabetes cases and 114,981 controls to map the genetic architecture of this metabolic disease. While this represents important medical research, it has no relevance to EMF health effects or radiation exposure. This highlights the importance of careful study classification and the need for rigorous database curation when evaluating EMF research. Such misclassifications can muddy the waters of legitimate EMF health research and make it harder for the public to access accurate information about radiation exposure risks.

Exposure Information

Specific exposure levels were not quantified in this study.

Cite This Study
Unknown (2012). Kumar S, Behari J, Sisodia R.
Show BibTeX
@article{kumar_s_behari_j_sisodia_r_ce3754,
  author = {Unknown},
  title = {Kumar S, Behari J, Sisodia R},
  year = {2012},
  doi = {10.1038/ng.2383},
  
}
DOI: 10.1038/ng.2383PubMed: 22885922

Quick Questions About This Study

This appears to be a database classification error. The study examined genetic variants for type 2 diabetes susceptibility, not electromagnetic field effects. Such misclassifications highlight the need for careful curation of EMF research databases.
No, this study examined inherited genetic factors that increase diabetes risk, not environmental EMF exposure. The research identified DNA variants present from birth that affect disease susceptibility in nearly 150,000 participants.
The analysis identified ten previously unknown genetic locations linked to type 2 diabetes risk. Two of these genetic variants showed different effects in men versus women, revealing sex-specific genetic influences on diabetes development.
The study included 34,840 people with type 2 diabetes and 114,981 healthy controls, totaling nearly 150,000 participants. The vast majority were of European descent, which may limit applicability to other populations.
The newly identified genetic variants implicate several cellular processes in diabetes development, including CREBBP-related gene transcription, adipocytokine hormone signaling, and cell cycle regulation. These findings provide insights into diabetes biology at the molecular level.