NEW YORK (GenomeWeb) – Researchers from the Icahn School of Medicine at Mt. Sinai have used electronic medical record data from patients with type 2 diabetes to further stratify the population into three distinct subgroups.

The team performed genome-wide association studies using genetic data that had been collected and stored in patients' EMRs. The researchers said the study, published this week in Science Translational Medicine, shows the potential for to tailor diagnosis and treatment.

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An analysis of UK Biobank data finds hemochromatosis to be more prevalent than thought, according to the BBC.

An analysis finds that female biomedical researchers receive fewer prizes than male ones, and when they do win prizes, they are less prestigious.

In Nature this week: improved genomic analysis using a graph genome reference, tumor mutational burden could predict clinical response to immune checkpoint inhibitors, and more.

Federal researchers tell the Los Angeles Times that the shutdown is causing missed research opportunities as they try to keep their experiments going.

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