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NEW YORK – Self-reported phenotypes in combination with more structured hospital diagnoses can boost the ability of biobank-based genome-wide association studies to uncover genetic associations, according to a new analysis.

Recent studies have begun using questionnaires or similar digital phenotyping approaches as a less expensive means of gathering phenotypic data. But researchers led by Stanford University's Manuel Rivas noted that it is unclear how well this approach lines up with more established phenotyping approaches. 

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New analyses indicate the P.1 variant found in Brazil may be able to infect people who have already had COVID-19, the New York Times reports.

According to CNBC, Novavax's CEO says its vaccine could be authorized in the US as early as May.

The US National Institutes of Health has a new initiative to address structural racism in biomedical research.

In PNAS this week: GWAS of TLV-1-associated myelopathy/tropical spastic paraparesis, analysis of twins with hypertrophic cardiomyopathy, and more.

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In this webinar, Felix J. Hartmann of Stanford University will describe an approach that characterizes the metabolic regulome of individual cells together with their phenotypic identity.