A research duo from the University of Cambridge outlines a computational method for teasing apart clonal lineages in a tumor using single-cell sequencing data. The approach — known as the oncogenic nested effects model, or OncoNEM — looks for tumor subpopulations based on probabilistic models of mutation accumulation and inferred sequence patterns in individual cells to provide information on the genotypes and relationships between these intra-tumor clonal populations.

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The Atlantic reports that genetic counselors are coping with an influx of patients seeking advice on their direct-to-consumer genetic test results.

A small study finds differences between three genomic prostate cancer tests, Medscape reports.

In Nature this week: shared genetic architecture for asthma and allergic diseases, and more.

A survey of Canadians finds them to be divided on genetically modified food, the Ottawa Citizen reports.