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In a recent study published in PNAS, scientists at the University of Zurich used statistical models to examine how evolutionary innovation in gene expression patterns is maintained. By studying graphs of genotypes for regulatory networks and resulting phenotypes, they found that there are many random genotypes that exist side by side and lead to the same phenotype, proof that in the long term, genetic mutations in regulatory networks lead to robust phenotypes.

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A South African university has told the Wellcome Sanger Institute to return DNA samples it has from indigenous African communities, The Times reports.

The University of California, Berkeley's Rasmus Nielsen and Xinzhu Wei have retracted their CCR5 gene paper due to a technical artifact.

 

University of Virginia researchers are exploring a genetic risk test to gauge type 1 diabetes risk, NPR reports.

In PNAS this week: researchers compare two high-grade neuroendocrine lung cancers, height among ancient Europeans, and more.