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Predictive Analytics Models Detect Alzheimer’s-Protecting Protein

Using predictive analytics tools and big data modeling, researchers identified a protein that plays a critical role in protecting against Alzheimer’s disease.

Predictive analytics models detect Alzheimer's-protecting protein

Source: Getty Images

By Jessica Kent

- A team from the Icahn School of Medicine at Mount Sinai, Emory University, and other collaborating institutions used predictive analytics models to discover a protein known as VGF, which protects the brain against Alzheimer’s disease, according to a study published in Nature Communications.

Researchers have yet to fully characterize the molecular underpinnings of Alzheimer’s disease, the team noted. While genome-wide association studies have implicated more than two dozen genetic regions associated with the disease risk, this information has proven difficult to translate into clinical use.

To better understand how genetic factors impact Alzheimer’s disease risk and development, the group built predictive network models of late-onset Alzheimer’s disease by mining DNA, RNA, protein, and clinical data.