In 1992, David Houle showed that measures of additive genetic variation standardized by the trait mean, CVA (the coefficient of additive genetic variation) and its square (IA), are suitable measures of evolvability. CVA has been used widely to compare patterns of genetic variation. However, the use of CVAs for comparative purposes relies critically on the correct calculation of this parameter. We reviewed a sample of quantitative genetic studies, focusing on sire models, and found that 45% of studies use incorrect methods for calculating CVA and that practices that render these coefficients meaningless are frequent. This may have important consequences for conclusions drawn from comparative studies. Our results are suggestive of a broader problem because miscalculation of the additive genetic variance from a sire model is prevalent among the studies sampled, implying that other important quantitative genetic parameters might also often be estimated incorrectly. We discuss the most prominent issues affecting the use of CVA and IA, including scale effects, data transformation, and the comparison of traits with different dimensions. Our aim is to increase awareness of the potential mistakes surrounding the calculation and use of evolvabilities, and to compile general guidelines for calculating, reporting, and interpreting these useful measures in future studies.
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Fam Cancer
January 2025
Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.
Multiple endocrine neoplasia type 1 (MEN1) syndrome is an autosomal dominant disorder caused by a germline pathogenic variant in the MEN1 tumor suppressor gene. Patients with MEN1 have a high risk for primary hyperparathyroidism (PHPT) with a penetrance of nearly 100%, pituitary adenomas (PitAd) in 40% of patients, and neuroendocrine neoplasms (NEN) of the pancreas (40% of patients), duodenum, lung, and thymus. Increased MEN1-related mortality is mainly related to duodenal-pancreatic and thymic NEN.
View Article and Find Full Text PDFMol Biol Rep
January 2025
Faculty of Medicine, Department of Gastroenterology, Mersin University, Mersin, Turkey.
Background: Chemokines and their receptors, which regulate lymphoid organ development and immune cell trafficking, are integral to the mechanisms underlying viral control, hepatic inflammation, and liver damage in chronic hepatitis C (CHC) infection. This study explores the potential relationship between serum chemokine levels/polymorphisms and hepatitis C infection in affected individuals, with a particular focus on their utility as biomarkers across different stages of fibrosis.
Methods And Results: Serum levels of the chemokines CXCL11, CXCL12, and CXCL16 were measured in patients with mild/moderate and advanced fibrosis due to CHC, as well as in healthy controls, using the ELISA method.
Funct Integr Genomics
January 2025
Department of Radiology, The Second Xiangya Hospital of Central South University, No. 139, Renmin Middle Road, Furong District, Changsha City, Hunan Province, 410011, China.
Post-traumatic epilepsy (PTE) is a debilitating chronic outcome of traumatic brain injury (TBI). Although FTO has been reported as a possible intervention target of TBI, its precise roles in the PTE remain incompletely understood. Here we used mild or serious mice TBI model to probe the role and molecular mechanism of FTO in PTE.
View Article and Find Full Text PDFArch Microbiol
January 2025
Department of Stomatology, The Second Affiliated Hospital, Hengyang Medical College, University of South China, Hengyang, 421001, Hunan, China.
Treponema denticola, a bacterium that forms a "red complex" with Porphyromonas gingivalis and Tannerella forsythia, is associated with periodontitis, pulpitis, and other oral infections. The major surface protein (Msp) is a surface glycoprotein with a relatively well-established overall domain structure (N-terminal, central and C-terminal regions) and a controversial tertiary structure. As one of the key virulence factors of T.
View Article and Find Full Text PDFMamm Genome
January 2025
Universidade Professor Edson Antônio Velano (UNIFENAS), Rodovia 179, Km 0, Alfenas, MG, 37132440, Brasil.
This study aimed to identify splicing quantitative trait loci (cis-sQTL) in Nelore cattle muscle tissue and explore the involvement of spliced genes (sGenes) in immune system-related biological processes. Genotypic data from 80 intact male Nelore cattle were obtained using SNP-Chip technology, while RNA-Seq analysis was performed to measure gene expression levels, enabling the integration of genomic and transcriptomic datasets. The normalized expression levels of spliced transcripts were associated with single nucleotide polymorphisms (SNPs) through an analysis of variance using an additive linear model with the MatrixEQTL package.
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