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NEW YORK – A healthy lifestyle is linked to a lower risk of developing dementia, no matter a person's genetic risk, according to a new analysis, though absolute risks don't change by much.

Both lifestyle and genetic factors — such as smoking and mutations in the APOE gene — have been tied to risk of developing dementia, and a team led by researchers at the University of Exeter Medical School has now examined whether a healthy lifestyle can lower dementia risk, even among individuals with a high genetic risk of developing the condition.

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New research shows that scientists need to do a better job of including a wider diversity of African genomes in their analyses, STAT says.

A new paper in Science shows that men are still winning a large majority of the most sought-after NIH grants.

Nature Research and the Estée Lauder Companies are awarding efforts to encourage girls to pursue careers in the STEM fields.

In Science this week: beneficial genetic variants inherited from archaic Neanderthal and Denisovan hominins, and more.

Oct
23
Sponsored by
Swift Biosciences

This webinar will illustrate how single-cell methylation sequencing can be applied to gain significant insight into epigenetic heterogeneity in disease states, advancing cancer research discoveries. 

Oct
24
Sponsored by
Sunquest

This webinar will tell the story of Versiti’s journey in transforming genetic testing from a manual to a digitized process. It will include detail on how the organization succeeded, pain points along the way, a novel approach to variant assessment, and future plans for the program.

Nov
19
Sponsored by
Stilla

Fluorescent proteins or self-labeling tags are invaluable tools for studying protein dynamics in living cells using fluorescence microscopy. However, quantitative imaging requires physiological levels of expression of the target protein of interest (POI), especially when stoichiometric interactions of the POI need to be investigated.

Dec
02
Sponsored by
Sophia Genetics

This webinar will discuss how Moffitt Cancer Center has implemented a new capture-based application to accurately assess myeloid malignancies by detecting complex variants in challenging genes in a single experiment.