Demographic differences in willingness to share electronic health records in the All of Us Research Program.

Objective: Participant willingness to share electronic health record (EHR) information is central to success of the National Institutes of Health All of Us Research Program (AoURP). We describe the demographic characteristics of participants who decline access to their EHR data.

Materials And Methods: We included participants enrolling in AoURP between June 6, 2017 and December 31, 2019 through the Trans-American Consortium for the Health Care Systems Research Network (TACH).

Evaluation of whole-genome DNA methylation sequencing library preparation protocols.

Background: With rapidly dropping sequencing cost, the popularity of whole-genome DNA methylation sequencing has been on the rise. Multiple library preparation protocols currently exist. We have performed 22 whole-genome DNA methylation sequencing experiments on snap frozen human samples, and extensively benchmarked common library preparation protocols for whole-genome DNA methylation sequencing, including three traditional bisulfite-based protocols and a new enzyme-based protocol.

Putative human myometrial and fibroid stem-like cells have mesenchymal stem cell and endometrial stromal cell properties.

Study Question: Can endometrial stromal stem/progenitor cell markers, SUSD2 and CD146/CD140b, enrich for human myometrial and fibroid stem/progenitor cells?

Summary Answer: SUSD2 enriches for myometrial and fibroid cells that have mesenchymal stem cell (MSC) characteristics and can also be induced to decidualise.

What Is Known Already: Mesenchymal stem-like cells have been separately characterised in the endometrial stroma and myometrium and may contribute to diseases in their respective tissues.

Study Design, Size, Duration: Normal myometrium, fibroids and endometrium were collected from hysterectomies with informed consent.

Using next-generation sequencing to determine potential molecularly guided therapy options for patients with resectable pancreatic adenocarcinoma.

Background: Genomic sequencing technology may identify personalized treatment options for patients with pancreatic adenocarcinoma.

Methods: The study was conducted using tissue specimens obtained from 2012 to 2014. Patients with resected pancreatic adenocarcinoma were identified.