Search bioRxiv⌕ Search

bioRxiv · 10.1101/2023.04.24.536588

Evaluating the efficiency and accuracy of a commercial test for estimating genetic risk of bovine congestive heart failure

Abstract

BackgroundBovine congestive heart failure (BCHF) is a significant cause of death in feedlot cattle in the Western Great Plains of North America. Single nucleotide polymorphisms (SNPs) in the ARRDC3 and NFIA genes have been previously associated with BCHF and genetic tests can classify animals by their risk for disease. Here, our aims were to evaluate the efficiency (genotypes obtained / samples tested) of a rapid DNA extraction kit and the accuracy of a 2-SNP assay for BCHF risk. MethodsSkin biopsies from 100 cattle were randomized and extracted with a proprietary rapid DNA extraction kit. A custom duplex, combined sequence amplification and nucleotide detection (C-SAND) assay was developed and run once on a commercial thermocycling machine to determine the genotypes. Both the rapidly extracted DNA and highly purified reference DNA from the same individuals were genotyped with the 2-SNP assay by operators blinded to the sample identity. The C-SAND genotypes were compared to known genotypes derived from a bead array assay. A priori standards for missing and incorrect genotypes were set at less than 3% and 1%, respectively. ResultsWhen using reference DNA samples, there were no missing and no incorrect C-SAND-derived genotypes, meeting the a priori standards. When DNA samples from the rapid extraction kit were used, genotypes were not determined for 5% of the samples. Of the 95 samples successfully extracted, there were 0% and 3% incorrect genotypes for the respective ARRDC3 and NFIA SNPs. ConclusionsThis duplex C-SAND assay and thermocycling machine combination were efficient and accurate when reference DNA was used, meeting a priori standards. Although the reduced efficiency of the rapid extraction kit can be overcome by repeated testing, increased genotype errors present an important issue. Despite these challenges, this rapid extraction kit and assay can be a reasonable tool for producers to select animals with reduced BCHF risk.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Carlson, J. M., Heaton, M. P., Allison, N., Hangman, A., Petrik, D., Piscatelli, H., Vander Ley, B. L.. 2023-04-25. Evaluating the efficiency and accuracy of a commercial test for estimating genetic risk of bovine congestive heart failure. https://doi.org/10.1101/2023.04.24.536588

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↗