NEW YORK (GenomeWeb) – A project that brought together computational methods and modeling approaches from dozens of research groups suggests common SNP profiling is likely not the most promising avenue for unearthing markers for predicting treatment response in individuals with rheumatoid arthritis.

Researchers from more than 70 teams put forth modeling methods to evaluate the possibility of using SNP profiles to predict response to so-called anti-TNF treatments, which target the tumor necrosis factor-alpha inflammatory cytokine in individuals with rheumatoid arthritis. 

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NPR reports that Turkish high school students will no longer study evolution.

Researchers report they sequenced and identified plant species in an "al fresco" laboratory.

An Australian team searches for genetic alterations linked to depression in hopes of developing personalized treatments, the Sydney Morning Herald reports.

In PNAS this week: host contributors to typhoid fever risk, effects of obesity-related variants near TMEM18, and more.