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In genetic evaluation of horses, the genetic trend does not correspond into a phenotypic trend when using ranking as a phenotype due to its uniform distribution, and some other effects might be absorbing that trend. From a founder population, a further four discrete generations of 100 individuals were simulated under random mating. Then, ten additional discrete generations were simulated by selecting the best 10% of the animals. Likewise, an underlying variable with heritability 0.1 or 0.2, affected by an event environmental influence, generation and permanent environment, was simulated to establish the ranking assignment of 10 random participants or according to the competitive level for each event, in 10 or 100 structured or unstructured events. The ranking trait genetic evaluation model was tested to include or exclude the event effect and the permanent environment effect, depending on the scenario. The results showed that the event effect fitted the different competitive level of each event, leading to a 5% to 23% of selection response improvement for structured competitions. Therefore, the event effect should be included in the genetic evaluation models of horses. The permanent environment fitted or simulated did not significantly improve the selection response. The event effect explained the competition genetic level, by compensating the genetic trend obtained by selection.
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http://dx.doi.org/10.1111/jbg.12645 | DOI Listing |
J Cancer Res Clin Oncol
September 2025
Division of Gastroenterology, Department of Medicine, Asahikawa Medical University, Asahikawa, Japan.
Purpose: Next-generation sequencing (NGS) has revolutionized cancer treatment by enabling comprehensive cancer genomic profiling (CGP) to guide genotype-directed therapies. While several prospective trials have demonstrated varying outcomes with CGP in patients with advanced solid tumors, its clinical utility in colorectal cancer (CRC) remains to be evaluated.
Methods: We conducted a prospective observational study of CGP in our hospital between September 2019 and March 2024.
Immunol Res
September 2025
Department of Immunology and Allergy, Faculty of Medicine, Necmettin Erbakan University, Konya, Türkiye.
Background: Variants of uncertain significance (VUS) represent a major diagnostic challenge in the interpretation of genetic testing results, particularly in the context of inborn errors of immunity such as severe combined immunodeficiency (SCID). The inconsistency among computational prediction tools often necessitates expensive and time-consuming wet-lab analyses.
Objective: This study aimed to develop disease-specific, multi-class machine learning models using in silico scores to classify SCID-associated genetic variants and improve the interpretation of VUS.
Theor Appl Genet
September 2025
Institute for Breeding Research on Agricultural Crops, Julius Kühn Institute (JKI) - Federal Research Centre for Cultivated Plants, Sanitz, 18190, Germany.
Low-cost and high-throughput RNA sequencing data for barley RILs achieved GP performance comparable to or better than traditional SNP array datasets when combined with parental whole-genome sequencing SNP data. The field of genomic selection (GS) is advancing rapidly on many fronts including the utilization of multi-omics datasets with the goal of increasing prediction ability and becoming an integral part of an increasing number of breeding programs ensuring future food security. In this study, we used RNA sequencing (RNA-Seq) data to perform genomic prediction (GP) on three related barley RIL populations.
View Article and Find Full Text PDFLife Sci Alliance
November 2025
Graduate School of Science, Technology and Innovation, Kobe University, Kobe, Japan
Mass-based fingerprinting can characterize microorganisms; however, expansion of these methods to predict specific gene functions is lacking. Therefore, mass fingerprinting was developed to functionally profile a yeast knockout library. Matrix-assisted laser desorption/ionization time-of-flight (MALDI-TOF) fingerprints of 3,238 knockouts were digitized for correlation with gene ontology (GO).
View Article and Find Full Text PDFJ Immunother Cancer
September 2025
Division of Hematology & Oncology, Department of Medicine, School of Medicine, University of California, Irvine, California, USA
Background: γδ T cells possess unique immunological features including tissue tropism, major histocompatibility complex-independent antigen recognition, and hybrid T/natural killer cell properties that make them promising candidates for cancer immunotherapy. However, the therapeutic potential of Vδ1 γδ T cells, particularly when engineered with chimeric antigen receptors (CARs), remains underexplored in solid tumors such as pancreatic cancer (PC), largely due to their low abundance in peripheral blood and challenges in ex vivo expansion. This study aims to directly compare the preclinical safety and efficacy among CAR-engineered Vδ1 γδ T cells, Vδ2 γδ T cells, and conventional αβ T cells.
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