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What's for Lunch?

A University of Nevada-Las Vegas researcher has launched a company to match people to their ideal diets based on their genes, the Las Vegas Review-Journal reports.

It adds that UNLV's Martin Schiller launched Food Genes and Me, which searches through customers' genetic data to uncover any disease predispositions and then uses that to make diet recommendations. "We believe the next wave of having a huge impact on health outcomes … will come from screening and preventative approaches," Schiller tells the Review-Journal. "Since you're eating food three times a day, that's a great place to start with prevention."

The Review-Journal notes that it is still early days for ventures such as this one and that other factors such as environment play a role in disease risk. The University of Georgia's Kaixiong Ye tells the paper that while he thinks the field will be important in the future, he says consumers shouldn't "take the information too seriously at the moment."

The Scan

NFTs for Genome Sharing

Nature News writes that non-fungible tokens could be a way for people to profit from sharing genomic data.

Wastewater Warning System

Time magazine writes that cities and college campuses are monitoring sewage for SARS-CoV-2, an approach officials hope lasts beyond COVID-19.

Networks to Boost Surveillance

Scientific American writes that new organizations and networks aim to improve the ability of developing countries to conduct SARS-CoV-2 genomic surveillance.

Genome Biology Papers on Gastric Cancer Epimutations, BUTTERFLY, GUNC Tool

In Genome Biology this week: recurrent epigenetic mutations in gastric cancer, correction tool for unique molecular identifier-based assays, and more.