Three approaches for identifying VNTR alleles associated with quantitative traits in chickens are described. One approach is based on the comparison of well-defined selected and non-selected control strains. The second approach is based on analyzing chickens within a breeding population ranked according to specific traits and the third approach involves segregation analysis. In this latter approach a large number of offspring of a single male segregating for a quantitative trait are produced and tested for trait association of the male DNA fingerprinting bands. In all cases pooled DNA samples of birds, rather than individual samples, are analyzed and band intensity is assumed to reflect the relative frequency of an allele. Examples from the literature and from our laboratory indicate that these methods permit the identification of DNA fingerprinting bands associated with quantitative traits. After developing locus-specific probes for these bands it should ultimately be possible to detect and map quantitative trait loci.
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http://dx.doi.org/10.1007/978-3-0348-7312-3_19 | DOI Listing |
Medicine (Baltimore)
January 2025
Emergency Department, Baoding No. 1 Central Hospital, Lianchi District, Baoding City, China.
Background: The performance of quantitative pupillary light reflex (qPLR) and the neurological pupil index (NPi) was used to predict neurological outcomes in cardiac arrest (CA) patients.
Methods: Eligible studies on the ability of the qPLR and NPi to predict neurological outcomes in CA patients were searched from the PubMed and China National Knowledge Infrastructure databases until July 2023. The pooled odds ratio (OR) and its 95% confidence interval (95% CI), area under the curve, sensitivity analysis, and publication bias were analyzed via Stata 14.
J Agric Food Chem
January 2025
Collaborative Innovation Center of Regional Modern Agriculture and Environment Protection Co-constructed By the Province and Ministry, Huaiyin Normal University, Huai'an 223300, China.
Preharvest sprouting (PHS) is an unfavorable trait in cereal crops that significantly reduces grain yield and quality. However, the regulatory mechanisms underlying this complex trait are still largely unknown. Here, 276 rice accessions from the 3000 Rice Genomes Project were used to perform a genome-wide association study.
View Article and Find Full Text PDFAppl Physiol Nutr Metab
January 2025
Chronic Disease Innovation Centre, Winnipeg, Canada;
Risk factors contributing to cardiovascular diseases (CVD) can be addressed through behavior modification, including changes in diet and physical activity. In 2021, The Wellness Institute (WI), located at Seven Oaks General Hospital, created a virtual cardiometabolic risk reduction program in response to COVID-19 pandemic public health restrictions, encompassing virtual health coaching and lifestyle education. The objective was to evaluate the acceptability, adherence, efficacy and engagement of the WI online cardiometabolic and weight loss program.
View Article and Find Full Text PDFJ Med Internet Res
January 2025
Department of Social Sciences and Health Policy, Wake Forest University School of Medicine, Medical Center Boulevard, Winston-Salem, US.
Background: Most cancer survivors have multiple cardiovascular risk factors, increasing their risk of poor cardiovascular and cancer outcomes. The Automated Heart-Health Assessment (AH-HA) tool is a novel electronic health record clinical decision support tool based on the American Heart Association's Life's Simple 7 cardiovascular health (CVH) metrics to promote CVH assessment and discussion in outpatient oncology. Before proceeding to future implementation trials, it is critical to establish the acceptability of the tool among providers and survivors.
View Article and Find Full Text PDFSci Adv
January 2025
Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.
Genes on the X chromosome are extensively expressed in the human brain. However, little is known for the X chromosome's impact on the brain anatomy, microstructure, and functional networks. We examined 1045 complex brain imaging traits from 38,529 participants in the UK Biobank.
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