This Week in PNAS

In the PNAS Early Edition this week, a Harvard-led team describes a mathematical model "that begins to address" the challenge of distinguishing driver from passenger mutations during tumorigenesis. "We model tumors as a discrete time branching process that starts with a single driver mutation and proceeds as each new driver mutation leads to a slightly increased rate of clonal expansion," the authors write.

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NPR reports that with medical data being big business, some companies want to get patients involved.

The Asbury Park Press reports on the startup Genomic Prediction's test to determine an embryo's risk of disease.

In PNAS this week: optical mapping allows glimpse of structural variants, disease-linked GATA2 mutations boosts its protein activity, and more.

Senator Elizabeth Warren (D-Mass.) has released the results of a genetic ancestry analysis, the Boston Globe reports.