African-Americans and Latinos are more likely to be at risk for depression than whites

A new study published in the May 2018 issue of Preventive Medicine shows that African Americans and Latinos are significantly more likely to experience serious depression than Whites, but chronic stress does not seem to explain these differences. Dr. Eliseo J. Pérez-Stable, director of the National Institute on Minority Health and Health Disparities (NIMHD) was the senior author of the study, which also found that African Americans and Latinos were more likely to have higher levels of chronic stress and more unhealthy behaviors. NIMHD is part of the National Institutes of Health.

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Fossils & Ruins 

Genome study presents new way to track historical demographics of US populations

Sharon Browning of the University of Washington and colleagues developed a method to estimate historical effective population size, which is the number of individuals who pass on their genes to the next generation, to reveal the shifting demographic history of U.S. populations during the last several thousand years. They report their findings in a new study published May 24th, 2018 in PLOS Genetics.

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Space & Time 

Scientists shrink chemistry lab to seek evidence of life on Mars

An international team of scientists has created a tiny chemistry lab for a rover that will drill beneath the Martian surface looking for signs of past or present life. The toaster oven-sized lab, called the Mars Organic Molecule Analyzer or MOMA, is a key instrument on the ExoMars Rover, a joint mission between the European Space Agency and the Russian space agency Roscosmos, with a significant contribution to MOMA from NASA. It will be launched toward the Red Planet in July 2020.

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New method for finding disease-susceptibility genes

A new study, affiliated with UNIST has recently presented a novel statistical algorithm, capable of identifying potential disease genes in a more accurate and cost-effective way. This algorithm has also been considered as a new promising approach for the identification of candidate disease genes, as it works effectively with less genomic data and takes only a minute or two to get results.

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