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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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According to New Scientist, GEDmatch changed its terms and conditions over the weekend to opt its users out of law enforcement searches.

The Atlantic looks into time spent pursuing gene leads generated through candidate gene studies.

A twin study uncovers evidence that genes may influence whether someone gets a dog, Martha Stewart reports.

In PNAS this week: Cdx2 cells can help regenerate heart tissue in mice following a heart attack, PIWI-interacting small RNA levels in human cancer, and more.