Scientists from Michigan Technological University have identified 11 new genetic variants linked to Type 2 diabetes.
Scientists from Michigan Technological University have identified 11 new genetic variants linked to Type 2 diabetes.
With the help of Ensemble Learning Approach (ELA) software, the researchers have isolated 11 variations within genes-called single nucleotide polymorphisms, SNPs or snips, associated with type 2 diabetes."With chronic, complex diseases like Parkinson's, diabetes and ALS [Lou Gehrig's disease], multiple genes are involved," said Qiuying Sha, an assistant professor of mathematical sciences.
"You need a powerful test," Sha added.
To test their model, the researchers analyzed over 1,000 people in the United Kingdom, half with type 2 diabetes and half without.
They identified 11 SNPs that, singly or in pairs, are linked to the disease with a high degree of probability.
ELA is used to compare the genetic makeup of unrelated individuals to sort out disease-related genes.
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The team has published their findings in the European Journal of Human Genetics.
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