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A team from Denmark, Germany, and Italy outline an integrated, meta-gene-based approach for tapping de novo pathway data to uncover potential expression-based biomarkers to predict complex disease outcomes. The researchers considered their strategy in the context of breast cancer data generated for the Cancer Genome Atlas, for example, before exploring the performance of the meta-gene approach relative to biomarker searches that rely on single gene features.

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New analyses indicate female researchers are publishing less during the coronavirus pandemic than male researchers, according to Nature News.

A study suggests people with the ApoE e4 genotype may be more likely to have severe COVID-19 than those with other genotypes, the Guardian says.

Direct-to-consumer genetic testing companies are searching for a genetic reason for why some people, but not others, become gravely ill with COVID-19, the Detroit Free Press reports.

In PNAS this week: forward genetics-base analysis of retinal development, interactions of T cell receptors with neoantigens in colorectal cancer, and more.