Monogenic rare disorders contribute significantly to paediatric morbidity and mortality, and elucidation of the underlying genetic cause may have benefits for patients, families and clinicians. Advances in genomic technology have enabled diagnostic yields of up to 50% in some paediatric cohorts. This has led to an increase in the uptake of genetic testing across paediatric disciplines. This can place an increased burden on paediatricians, who may now be responsible for interpreting and explaining test results to patients. However, genomic results can be complex, and sometimes inconclusive for the ordering paediatrician. Results may also cause uncertainty and anxiety for patients and their families. The paediatrician's genetic literacy and knowledge of genetic principles are therefore critical to inform discussions with families and guide ongoing patient care. Here, we present four hypothetical case vignettes where genomic testing is undertaken, and discuss possible results and their implications for paediatricians and families. We also provide a list of key terms for paediatricians.
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http://dx.doi.org/10.1111/jpc.15703 | DOI Listing |
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.
View Article and Find Full Text PDFEur Urol Open Sci
January 2025
Merck & Co. Inc, Rahway, NJ, USA.
Background And Objective: Treatment landscape in advanced prostate cancer (PC) is evolving. There is limited understanding of the factors influencing decision-making for genetic/genomic testing and the barriers to recommending testing and treatment in international real-world clinical practice following the approval of poly-adenosine diphosphate-ribose polymerase inhibitors (PARPi) for metastatic castration-resistant PC (mCRPC). This work aims to assess genetic/genomic testing patterns and methods, including for homologous recombination repair mutation (HRRm), and treatment decisions among physicians caring for patients with PC across the USA, Europe, and Asia.
View Article and Find Full Text PDFFront Oncol
January 2025
Department of Thoracic Surgery, China-Japan Friendship Hospital, Beijing, China.
Background: Lung adenocarcinoma (LUAD), the most prevalent form of lung cancer. The transition from adenocarcinoma (AIS), and minimally invasive adenocarcinoma (MIA) to invasive adenocarcinoma (IAC) is not fully understood. Intratumoral microbiota may play a role in LUAD progression, but comprehensive stage-wise analysis is lacking.
View Article and Find Full Text PDFNucleic Acids Res
January 2025
Laboratory of Structural and Functional Organization of Chromosomes, Institute of Gene Biology, Russian Academy of Sciences, 34/5 Vavilov St., 119334 Moscow, Russia.
Dictyostelium discoideum is a unicellular slime mold, developing into a multicellular fruiting body upon starvation. Development is accompanied by large-scale shifts in gene expression program, but underlying features of chromatin spatial organization remain unknown. Here, we report that the Dictyostelium 3D genome is organized into positionally conserved, largely consecutive, non-hierarchical and weakly insulated loops at the onset of multicellular development.
View Article and Find Full Text PDFNucleic Acids Res
January 2025
Bioinformatics Division, WEHI, Parkville, VIC 3052, Australia.
edgeR is an R/Bioconductor software package for differential analyses of sequencing data in the form of read counts for genes or genomic features. Over the past 15 years, edgeR has been a popular choice for statistical analysis of data from sequencing technologies such as RNA-seq or ChIP-seq. edgeR pioneered the use of the negative binomial distribution to model read count data with replicates and the use of generalized linear models to analyze complex experimental designs.
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