Towards IBD Prediction and Prevention: The Contribution of Genetics and Genomics. [PDF]
Kugathasan S, Fiocchi C.
europepmc +1 more source
Chronobiology of Cancer: How Aging Fuels Oncogenesis at the Molecular Level
This graphical abstract illustrates the key biological pathways linking aging with cancer development and progression. In the upper left, cumulative exposure to ultraviolet radiation, toxins, and reactive oxygen species (ROS) causes DNA damage and genomic instability, whereas age‐related decline in repair mechanisms, such as ATM/ATR, BER, and NER ...
Anu Singh, Aroonima Misra, Sufian Zaheer
wiley +1 more source
Genetics and Genomics of Pediatric Neurological Disorders: An Overview of Current Insights and Future Directions. [PDF]
Trabacca A +6 more
europepmc +1 more source
RNA Sequencing Resolves Cryptic Pathogenic Variants in Mitochondrial Disease
ABSTRACT Objective Mitochondrial diseases are the most common inherited metabolic disorders, characterized by pronounced clinical and genetic heterogeneity that complicates molecular diagnosis. Although DNA‐based sequencing approaches have become standard in genetic testing, up to half of patients remain without a definitive diagnosis.
Zhimei Liu +21 more
wiley +1 more source
Knowledge and Attitudes of Nurses Toward Genetics and Genomics: A Scoping Review. [PDF]
Mintzaridis K +4 more
europepmc +1 more source
Early Clinical, Imaging, and Pathological Characteristics of SRPK3/TTN‐Digenic Myopathy
ABSTRACT Objective SRPK3/TTN‐digenic myopathy was recently established as a skeletal muscle myopathy caused by digenic inheritance. This study characterizes the early clinical presentation of SRPK3/TTN‐digenic myopathy in one previously reported and seven newly identified pediatric patients.
Rotem Orbach +23 more
wiley +1 more source
The European Certificate in Medical Genetics and Genomics (ECMGG). [PDF]
Turnpenny PD +7 more
europepmc +1 more source
Uncovering G Protein‐Coupled Receptors: Novel Targets and Biomarkers for Predicting Glioma Prognosis
ABSTRACT Background Low‐grade gliomas (LGG) exhibit significant heterogeneity and recurrence risk. G protein‐coupled receptors (GPCR) contribute to glioma malignant progression, but their prognostic value remains unclear. This work attempts to formulate a GPCR‐based outcome‐predicting model for LGG. Methods Based on TCGA LGG data, the enrichment scores
Jun Yang +4 more
wiley +1 more source
Editorial [(Hot Topic Genomics and Genetics of Aging) [PDF]
openaire +2 more sources
When learning becomes doing: contributions of the next generation of scientists to knowledge about genetics and genomics. [PDF]
McIntyre LM.
europepmc +1 more source

