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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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The Wall Street Journal reports on the struggle to meet the demand for rapid COVID-19 testing.

The Newsroom reports New Zealand is using genomics to trace the origins of its new coronavirus outbreak.

In Nature this week: researchers in Canada sequence the genome of the black mustard plant Brassica nigra, and more.

According to Bloomberg, Moderna has a $1.5 billion vaccine deal with the US to provide 100 million doses.

Sep
02
Sponsored by
ACD

This webinar will discuss the use of digital spatial profiling to test a gene therapy for CDKL5 deficiency disorder (CDD), a rare X-linked neurodevelopmental disease that causes severe seizures, global developmental delay, and limits a patient’s ability to communicate.

Sep
03
Sponsored by
Illumina

This webinar will provide an overview of how the Colorado Center for Personalized Medicine (CCPM) at the University of Colorado implemented a preemptive pharmacogenomic screening program via a large-scale research biobank and a robust biocomputing system.

Sep
10
Sponsored by
Genecentric

This webinar, Part 2 of the “Advances in RNA-based Biomarker Development for Precision Oncology” webinar series sponsored by GeneCentric Therapeutics, will focus on the development of RNA-based companion diagnostics for oncology.

Oct
08
Sponsored by
Genecentric

This webinar, Part 3 of the “Advances in RNA-based Biomarker Development for Precision Oncology” webinar series sponsored by GeneCentric Therapeutics, will discuss novel and emerging applications of RNA-based genomic analysis in precision oncology, form characterizing the tumor microenvironment to informing the development of immuno-oncology treatments.