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Genetic inbreeding load and its individual prediction for milk yield in French dairy sheep.
Genet Sel Evol
January 2025
GenPhySE, Université de Toulouse, INRAE, ENVT, 31326, Castanet-Tolosan, France.
Background: The magnitude of inbreeding depression depends on the recessive burden of the individual, which can be traced back to the hidden (recessive) inbreeding load among ancestors. However, these ancestors carry different alleles at potentially deleterious loci and therefore there is individual variability of this inbreeding load. Estimation of the additive genetic value for inbreeding load is possible using a decomposition of inbreeding in partial inbreeding components due to ancestors.
View Article and Find Full Text PDFEffect of genetic and vascular risk factors on rates of cognitive decline in early-onset and late-onset Alzheimer's disease.
J Alzheimers Dis
January 2025
Department of Neurology, Indiana University School of Medicine, Indianapolis, IN, USA.
Background: Although previous studies have shown that cognitive decline in Alzheimer's disease (AD) is associated with various risk factors, they primarily focused on late-onset AD (LOAD).
Objective: We aim to evaluate the differential impact of risk factors on the cognitive decline between early-onset AD (EOAD, onset < 65 years) and LOAD (onset 65 years) and explore the longitudinal effect of Apolipoprotein E allele 4 ( ε4) on cortical atrophy in both cohorts.
Methods: Using data from 212 EOAD and 1101 LOAD participants in the Alzheimer's Disease Neuroimaging Initiative (ADNI), we conducted multivariable mixed-effect models to evaluate the impact of ε4, education, hypertension, diabetes, dyslipidemia, and body mass index on cognitive performance.
Deformed wing virus coopts the host arginine kinase to enhance its fitness in honey bees (Apis mellifera).
BMC Biol
January 2025
Department of Agricultural Sciences, University of Naples Federico II, Naples, Italy.
Background: Deformed wing virus (DWV) is a major honey bee pathogen that is actively transmitted by the parasitic mite Varroa destructor and plays a primary role in Apis mellifera winter colony losses. Despite intense investigation on this pollinator, which has a unique environmental and economic importance, the mechanisms underlying the molecular interactions between DWV and honey bees are still poorly understood. Here, we report on a group of honey bee proteins, identified by mass spectrometry, that specifically co-immunoprecipitate with DWV virus particles.
View Article and Find Full Text PDFAssessment of various etiological factors for oral squamous cell carcinoma in non-habit patients- a cross sectional case control study.
BMC Oral Health
January 2025
Clinical Genetics Lab, Centre for Cellular and Molecular Research, Saveetha Dental College and Hospitals, Saveetha Dental College and Hospitals, Saveetha Institute of Medical and Technical Sciences, 162, Poonamallee High Road, Velappanchavadi, Chennai, Tamil Nadu, 600077, India.
Background: Oral squamous cell carcinoma (OSCC) is one of the most prevalent oral cancers in the world. The major etiological factors are considered to be tobacco and alcohol. However, the etiological factors for non-habit associated oral squamous cell carcinoma (NHOSCC) remains an enigma.
View Article and Find Full Text PDFInteraction between genetic risk score and dietary carbohydrate intake on high- density lipoprotein cholesterol levels: Findings from the Study of Obesity, Nutrition, Genes and Social factors (SONGS).
Clin Nutr ESPEN
January 2025
Hugh Sinclair Unit of Human Nutrition, Department of Food and Nutritional Sciences and Institute for Cardiovascular and Metabolic Research (ICMR), University of Reading, Reading, RG6 6DZ, UK; Institute for Food, Nutrition, and Health (IFNH), University of Reading, Reading, RG6 6AP, UK. Electronic address:
Background & Aims: Cardiometabolic traits are complex interrelated traits that result from a combination of genetic and lifestyle factors. This study aimed to assess the interaction between genetic variants and dietary macronutrient intake on cardiometabolic traits [body mass index, waist circumference, total cholesterol, high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol, triacylglycerol, systolic blood pressure, diastolic blood pressure, fasting serum glucose, fasting serum insulin, and glycated haemoglobin].
Methods: This cross-sectional study consisted of 468 urban young adults aged 20 ± 1 years, and it was conducted as part of the Study of Obesity, Nutrition, Genes and Social factors (SONGS) project, a sub-study of the Young Lives study.
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