News Spotlight

Tuesday, January 23, 2018

Supercomputing New Risk Variants for T-2 Diabetes

Reanalysis of public genetic data using innovative computational methods has allowed the identification of new genetic markers associated with an increased risk to develop Type 2 Diabetes (T2D). The study, led by Barcelona Supercomputing Center and published today in Nature Communications, represents a new way of exploiting preexisting genetic data to obtain new and relevant discoveries for genetics and biomedicine, highlighting the importance of data sharing initiatives and policies in science.


Supercomputing-Backed Analysis Reveals Decades of Questionable Investments

One of the key principles in asset pricing — how we value everything from stocks and bonds to real estate — is that investments with high risk should, on average, have high returns. “If you take a lot of risk, you should expect to earn more for it,” said Scott Murray, professor of finance at George State University. “To go deeper, the theory says that systematic risk, or risk that is common to all investments” — also known as ‘beta’ — “is the kind of risk that investors should care about.”



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