The analgesic responses of humans and laboratory animals are characterized by substantial individual differences. The genetic basis of this variability can be studied experimentally in rodents using a program of selective breeding. One such program selected for high (HA) and low (LA) swim stress-induced analgesia (SSIA) on the hot-plate (56 degrees C) test in Swiss-Webster mice. These lines, which have been selectively bred for more than 25 generations, display markedly divergent opioid-mediated SSIA (3-min swims in 38 degrees C water), morphine analgesia (10 mg/kg, i.p.), and analgesia to the kappa-receptor agonist, U-50,488H (30 mg/kg, i.p.). The present study investigated the mode of inheritance of these opioid analgesias in HA and LA mice, using Mendelian genetic analyses. We report that the differential sensitivity of HA and LA mice to each of these analgesic manipulations appears to be determined oligogenically, by one or at the most two major genetic loci. The loci associated with each type of analgesia do not co-segregate, however, indicating that three distinct oligogenic effects have been identified. These findings suggest that the genetic determination of analgesic mechanisms may have simple components and as such may be amenable to further analysis using molecular genetic techniques.
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http://dx.doi.org/10.1016/0304-3959(94)00098-Y | DOI Listing |
Mol Biol Rep
January 2025
Zoological Survey of India, Kolkata, 700053, India.
Background: The endangered Kashmir musk deer (Moschus cupreus), native to high-altitude Himalayas, is an ecological significant and endangered ungulate, threatened by habitat loss and poaching for musk pod distributed in western Himalayan ranges of India, Nepal and Afghanistan. Despite its critical conservation status and ecological importance in regulating vegetation dynamics, knowledge gaps persist regarding its population structure and genetic diversity, hindering effective management strategies.
Methods And Results: We aimed to understand the population genetics of Kashmir musk deer in north-western Himalayas using two mitochondrial DNA (mtDNA) regions and 11 microsatellite loci.
Mamm 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.
View Article and Find Full Text PDFGenome Biol
January 2025
Cecil H. and Ida Green Center for Reproductive Biology Sciences, University of Texas Southwestern Medical Center, Dallas, TX, 75390, USA.
Background: Genetic studies have associated thousands of enhancers with breast cancer (BC). However, the vast majority have not been functionally characterized. Thus, it remains unclear how BC-associated enhancers contribute to cancer.
View Article and Find Full Text PDFInterstitial lung disease (ILD) has shown limited treatment advancements, with minimal exploration of circulating protein biomarkers causally linked to ILD and its subtypes beyond idiopathic pulmonary fibrosis (IPF). In this study, we aimed to identify potential drug targets and circulating protein biomarkers for ILD and its subtypes. We utilized the most recent large-scale plasma protein quantitative trait loci (pQTL) data detected from the antibody-based method and ILD and its subtypes' GWAS data from the updated FinnGen database for Mendelian randomization analysis.
View Article and Find Full Text PDFNat Commun
January 2025
Laboratory of Molecular Translational Medicine, Center for Translational Medicine, West China Second University Hospital, Sichuan University, Chengdu, China.
Pubertal timing is highly variable and is associated with long-term health outcomes. Phenotypes associated with pubertal timing include age at menarche, age at voice break, age at first facial hair and growth spurt, and pubertal timing seems to have a shared genetic architecture between the sexes. However, puberty phenotypes have primarily been assessed separately, failing to account for shared genetics, which limits the reliability of the purported health implications.
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