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Breeders for many decades used pedigrees to limit increases in inbreeding, but genomic measures of relationship and inbreeding provide more precise control. Previous calculations of pedigree inbreeding (F), genomic inbreeding (F), pedigree expected future inbreeding (EFI), and genomic expected future inbreeding (EFI) included the X chromosome but ignored its influence when estimating relationships. The X chromosome contributes to inbreeding in female progeny, for example, if parents with the same X chromosome are mated. Because the X-specific region has 3.0% of the 79,060 markers used in US genomic evaluation and those markers are coded as 100% homozygous in males, homozygosity of females appeared to be 3% less than for males. Allele frequency also affects the computation of F. Programs to compute pedigree and genomic measures were revised to improve speed and memory use, as well as to better account for the X chromosome. Revised software reduced computational time from 33 h to 13 min (152 times faster) using 32 processors for F and EFI with 88 million animals in the pedigree and from 19 h to 28 min (41 times faster) for F and EFI for 3,280,753 genotyped animals of 5 breeds. Correlations were high between F computed using either an allele frequency of 0.5 or a base population frequency for most breeds. Mean F was higher for males than for females, but adjustments for the X chromosome made F means more comparable across sexes. The X adjustments did not affect correlations within sex. After adjusting F for the X chromosome using an allele frequency of 0.5, correlations across breeds and sex increased, and X-adjusted F was more similar to F. Using an allele frequency of 0.5, mean correlation with F across breeds was 0.67 for F, 0.67 for X-adjusted F, and 0.54 for F with base population allele frequency; corresponding EFI correlations were 0.83, 0.83, and 0.84. Breeds with smaller populations were more sensitive to the use of different allele frequencies. Mean correlation of haplotype-based inbreeding with F was 0.64. Revision of inbreeding software allowed simpler and more accurate comparison of genomic and pedigree relationships and much faster computation.
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http://dx.doi.org/10.3168/jds.2024-26056 | DOI Listing |
Sci Adv
September 2025
Department of Genitourinary Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
(phosphatidylserine synthase 1) encodes an enzyme that facilitates production of phosphatidylserine (PS), which mediates a global immunosuppressive signal. Here, based on in vivo CRISPR screen, we identified PTDSS1 as a target to improve anti-PD-1 therapy. Depletion of in tumor cells increased expression of interferon-γ (IFN-γ)-regulated genes, including , , , and , even in the absence of IFN-γ stimulation in vitro.
View Article and Find Full Text PDFJ Appl Stat
February 2025
Department of Mathematics and Statistics, Wright State University, Dayton, Ohio, USA.
Overdispersion is a common phenomenon in genetic data, such as gene expression count data. In genetic association studies, it is important to investigate the association between a gene expression and a set of genetic variants from a pathway. However, existing approaches for pathway analysis are primarily designed for continuous and binary outcomes and are not applicable to overdispersed count data.
View Article and Find Full Text PDFJ Immunother Precis Oncol
August 2025
The Christie NHS Foundation Trust, Manchester Academic Health Sciences Centre, Manchester, United Kingdom.
Introduction: Patients with advanced solid tumors may be considered for early phase clinical trials investigating the safety, tolerability, and dosing of experimental therapies. Optimizing participant selection is critical to maximize clinical benefit and meet trial endpoints with fewer participants. One in six participants does not meet routine life expectancy requirements (>3 months), highlighting the need for improved prognostication.
View Article and Find Full Text PDFFront Vet Sci
August 2025
Faculty of Veterinary Medicine, Lusófona University-Lisbon University Centre, Lisbon, Portugal.
Introduction: is a well-recognized etiologic agent of upper respiratory tract disease in tortoises. Although frequently reported in both captive and wild populations across Europe, its occurrence in Portugal had not been previously documented. This study aimed to investigate the presence of in apparently healthy captive tortoises in mainland Portugal and to evaluate potential host- and management-related factors associated with infection.
View Article and Find Full Text PDFVet World
July 2025
Research Center for Applied Zoology, National Research and Innovation Agency, Republic of Indonesia, Bogor, Indonesia.
Background And Aim: The () gene plays a pivotal role in regulating growth, metabolism, and fat deposition in cattle. Genetic polymorphisms in this gene can influence phenotypic traits and may serve as molecular markers for selection in breeding programs. However, comprehensive characterization of gene variants in local Indonesian breeds, such as Madura cattle, remains limited.
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