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Genomic sequencing in diverse and underserved pediatric populations: parent perspectives on understanding, uncertainty, psychosocial impact, and personal utility of results.

Genet Med

January 2025

Genomics Ethics, and Translational Research Program, RTI International, Research Triangle Park, NC; Department of Translational and Applied Genomics, Kaiser Permanente Center for Health Research, Portland, OR. Electronic address:

Purpose: Limited evidence evaluates parents' perceptions of their child's clinical genomic sequencing (GS) results, particularly among individuals from medically underserved groups. Five Clinical Sequencing Evidence-Generating Research (CSER) consortium studies performed GS in children with suspected genetic conditions with high proportions of individuals from underserved groups to address this evidence gap.

Methods: Parents completed surveys of perceived understanding, personal utility, and test-related distress after GS result disclosure.

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Newborn screening for common genetic variants associated with permanent hearing loss: Implementation in Ontario and a review of the first 3 years.

Genet Med

January 2025

Newborn Screening Ontario, Children's Hospital of Eastern Ontario, Ottawa, ON, Canada; Children's Hospital of Eastern Ontario Research Institute, University of Ottawa, Ottawa. Electronic address:

Purpose: Universal newborn hearing screening (UNHS) programs using audiometric techniques alone are limited in ability to detect non-congenital childhood permanent hearing loss (PHL). In 2019, Ontario launched universal newborn screening (NBS) for PHL risk factors: congenital cytomegalovirus (cCMV) and 22 common variants in GJB2 and SLC26A4. Here we describe our experience with genetic risk factor screening.

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Objective: Scleroderma-associated autoantibodies (SSc-Abs) are specific in participants (pts) with systemic sclerosis and are associated with organ involvement. Our objective was to assess the influence of baseline SSc-Abs on the trajectories of the clinical outcome assessments (COAs) in a phase III randomized controlled trial.

Methods: We used data on both the groups who received placebo (Pbo) and tocilizumab from the focuSSced trial.

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In this work, we successfully prepared four POM-based organic-inorganic hybrids, namely, [(CHN)(CHN)][PMoO] (1), [(CHN)(CHN)][PMoO] (2), [(CHN)][PMoO]·4HO (3), and [(CHN)][PMoO] (4) (where CHN = pyridine, CHN = pyrazine, CHN = 2,7-diamino-1,3,4,6,8,9-hexaazaspiro[4.4] nonane, and CHN = 3-amino-1,2,4-triazole), using a hydrothermal method. Compounds 1 and 2 exhibited a lamellar three-dimensional structure.

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BaNDyT: Bayesian Network Modeling of Molecular Dynamics Trajectories.

J Chem Inf Model

January 2025

Department of Computational and Quantitative Medicine, Beckman Research Institute of the City of Hope, 1218 S 5th Ave, Monrovia, California 91016, United States.

Bayesian network modeling (BN modeling, or BNM) is an interpretable machine learning method for constructing probabilistic graphical models from the data. In recent years, it has been extensively applied to diverse types of biomedical data sets. Concurrently, our ability to perform long-time scale molecular dynamics (MD) simulations on proteins and other materials has increased exponentially.

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