Search bioRxiv⌕ Search

bioRxiv · 10.1101/2022.11.17.516927

Association of spinocerebellar ataxia related variants with myokymia and neuromyotonia in dogs

Abstract

BackgroundKCNJ10 and CAPN1 variants have been shown to cause spinocerebellar ataxia (SCA) in Jack Russell, Parson Russell and Fox terriers (JRT, PRT and FT). However, their association with the clinical manifestation of myokymia and neuromyotonia (M/NM), often reported alongside SCA, remains unclear. AimsTo investigate the association between M/NM and SCA-related variants in 34 with SCA and/or M/NM affected dogs (30 JRTs; 1 PRT; 1 Yorkshire terrier, YT; 1 Dachshund; 1 crossbreed). MethodsKCNJ10 XM_038448705.1:c.627C>G (p.(Ile209Met)) and CAPN1 XM_038425033.1:c.344G>A (p.(Cys115Tyr)) variants, and the complete coding sequence (CDS) of KCNA1, KCNA2, KCNA6, KCNJ10 and HINT1, were analysed via Sanger sequencing. ResultsThe KCNJ10 c.627C>G variant was homozygously present in 16 JRTs, 1 Dachshund and 1 crossbreed with SCA and M/NM, and in 9 JRTs with SCA but without M/NM. The CAPN1 c.344G>A variant was homozygously present in 1 PRT with SCA but without M/NM. Both variants were not found in 2 JRTs with SCA but without M/NM, neither in 3 JRTs and 1 YT without SCA but with M/NM. No other causal variants were found in the coding sequence of the investigated candidate genes in these latter 6 dogs. ConclusionsThe KCNJ10 c.627C>G or CAPN1 c.344G>A variant was confirmed to be the causal variant in 28 of the 34 affected dogs (including 1 Dachshund with the KCNJ10 variant). The fact that 10 of these 28 dogs did not suffer from M/NM (all of them suffered from SCA) and that these variants were not found in 4 dogs suffering from M/NM without SCA, suggests that M/NM is caused by another genetic variant or that these patients suffer from an acquired (immune-mediated) syndrome, similar to humans. Another SCA-causing variant is probably also segregating in JRTs (but not in the CDS of the investigated candidate genes), because no causal variant was found in 2 JRTs suffering from SCA without M/NM.

Source connections

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Vanhaesebrouck, A., Van Poucke, M., Stee, K., Peelman, L., Van Ham, L., Bhatti, S. F.. 2022-11-18. Association of spinocerebellar ataxia related variants with myokymia and neuromyotonia in dogs. https://doi.org/10.1101/2022.11.17.516927

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related preprints

Generation of a transgenic cephalopod

Coleoid cephalopods (cuttlefish, octopus, and squid) are marine mollusks with elaborate nervous systems that support a diverse repertoire of complex behaviors. These include the neural control of the color, pattern, and texture of the skin, facilitating both adaptive camouflage and innate patterning that may reflect internal state. The development of transgenic cephalopods expressing fluorescent proteins, optogenetic actuators, and reporters of neural activity would contribute a new and important technology to cephalopod biology. The generation of transgenic cephalopods, however, has remained a major challenge. Here, we report the development of stable transgenic dwarf cuttlefish (Ascarosepion bandense) expressing ubiquitous nuclear-localized mScarlet, a red fluorescent protein. We evaluated multiple strategies for transgenesis, and established cuttlefish lines using both CRISPR and the transposons Sleeping Beauty and Minos. The stable expression of transgenes enabled live imaging of cell dynamics during embryonic development. The Minos transposon emerged as the most efficient transgenesis strategy and is adaptable to promoters and transgenes of choice. These strategies now enable the generation of diverse genetic tools for mechanistic studies of cephalopod biology.

genetics↗

Large language model-based bibliometric evaluation of population descriptors in human genetics

As the use of population descriptors such as race, ethnicity, and ancestry have become increasingly common in modern genetics research, there have been growing calls to critically examine their use. Most notably, in 2023, the National Academies of Science, Engineering, and Medicine (NASEM) published a report titled Using Population Descriptors in Genetics and Genomics Research: A New Framework for an Evolving Field, which included eight specific and actionable recommendations for researchers to implement the ethical and accurate use of population descriptors in genetic research. Here, we use the 2023 NASEM report as a benchmark to analyze the use of population descriptors in genome-wide association studies (GWAS). We develop a general toolkit for large language model-based bibliometrics, operationalize the report's recommendations into an evaluation framework, and apply this framework to evaluate all 4,007 papers from the GWAS Catalog published between 2007 and 2025 with full text available on PubMedCentral. We find significant improvements in adherence to NASEM report recommendations over time. However, most improvements predate the publication of the NASEM report itself, suggesting the report functioned primarily as a synthesis of existing best practices rather than a catalyst for change. We conclude by highlighting opportunities for growth in the field of human genetics.

genetics↗

Mitigating biases of rescaling in forward-in-time population genetic simulations

Forward-in-time population genetic simulations are widely used in evolutionary analyses, but simulating large populations and long genomic regions remains computationally demanding. To reduce this cost, parameter rescaling is widely employed, in which the original evolutionary process is approximated by one with a smaller population size and fewer generations. Recently, several studies using the SLiM simulator have raised concerns about the accuracy of this rescaling approach. In this study, we show that many of the biases reported in these studies can be mitigated by using a different simulation algorithm. These results reveal that the accuracy of parameter rescaling depends on how well the simulation algorithm preserves diffusion-limit properties under rescaling.

genetics↗