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Researchers should embrace differences in genetic background to build richer disease models that more accurately reflect the level of variation in the human population, posits Clement Chow.
Caroline Wright, Matthew Hurles and Helen Firth propose that a principle of proportionality be applied to genomic data that weighs the depth of data (what is shared) against the breadth of sharing (with whom) to find a proportionate approach that balances beneficence and non-maleficence.
Personalized and precision medicine initiatives explicitly call for researchers to treat research participants as partners. One way to realize that goal is by returning individual research results to participants. I propose a number of concrete steps that could facilitate that process.
Jesse Boehm and Todd Golub call for an international effort to establish >10,000 cancer cell line models as a community resource. Cancer cell line factories will facilitate the creation of a cancer dependency map, connecting cancer genomics to therapeutic dependencies.