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The field of landscape genetics has been rapidly evolving, adopting and adapting analytical frameworks to address research questions. Current studies are increasingly using regression-based frameworks to infer the individual contributions of landscape and habitat variables on genetic differentiation. This paper outlines appropriate and inappropriate uses of multiple regression for these purposes, and demonstrates through simulation the limitations of different analytical frameworks for making correct inference. Of particular concern are recent studies seeking to explain genetic differences by fitting regression models with effective distance variables calculated independently on separate landscape resistance surfaces. When moving across the landscape, organisms cannot respond independently and uniquely to habitat and landscape features. Analyses seeking to understand how landscape features affect gene flow should model a single conductance or resistance surface as a parameterized function of relevant spatial covariates, and estimate the values of these parameters by linking a single set of resistance distances to observed genetic dissimilarity via a loss function. While this loss function may involve a regression-like step, the associated nuisance parameters are not interpretable in terms of organismal movement and should not be conflated with what is actually of interest: the mapping between spatial covariates and conductance/resistance. The growth and evolution of landscape genetics as a field has been rapid and exciting. It is the goal of this paper to highlight past missteps and demonstrate limitations of current approaches to ensure that future use of regression models will appropriately consider the process being modeled, which will provide clarity to model interpretation.
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http://dx.doi.org/10.1111/mec.15716 | DOI Listing |
Breast Cancer Res Treat
December 2024
Division of Medical Oncology and Hematology, Princess Margaret Cancer Centre University Health Network, 700 University Ave, Toronto, ON, M5G 1Z5, Canada.
Purpose: In early-stage breast cancer, steatotic liver disease (SLD) is associated with increased recurrence, cardiovascular events, and non-cancer death. Endocrine therapy (ET) increases the risk of SLD. The impact of cyclin-dependent kinases 4/6 inhibitors (CDK4/6i) on SLD and prognostic association in metastatic breast cancer is unknown.
View Article and Find Full Text PDFObjective: We have shown that men aged 50 years+ at high risk of type 2 diabetes treated with testosterone together with a lifestyle program reduced the risk of type 2 diabetes at two years by 40% compared to a lifestyle program alone. To develop a personalized approach to treatment, we aimed to explore a prognostic model for incident type 2 diabetes at two years and investigate biomarkers predictive of the testosterone effect.
Design: Model development in 783 men with impaired glucose tolerance but not type 2 diabetes from T4DM; a multicenter, 2-year trial of Testosterone vs placebo.
Hand (N Y)
December 2024
NYU Langone Health, New York, USA.
Introduction: Managing open distal radius fractures (DRFs) poses challenges. While preventing surgical site infection (SSI) involves prompt antibiotic administration and thorough irrigation and debridement, the impact of urgent intervention on reducing postoperative infection rates is debated. We hypothesize that timing of surgery does not significantly affect the incidence of SSI in open DRF treated within or after 24 hours from time of injury.
View Article and Find Full Text PDFFront Public Health
December 2024
Medical Faculty Belgrade, Gynecology Obstetric University Clinic Narodni Front, Belgrade, Serbia.
Introduction: Low birth weight, defined as a birth weight below 2,500 g, represents a significant public health concern with a multifactorial risk dimension. Socio-demographic factors and individual characteristics of women and their social environment could influence low birth weight. This study aimed to analyze the association between the socio-demographic and reproductive characteristics of women living in low-income households and low birth weight in Serbia, Kosovo, and Montenegro.
View Article and Find Full Text PDFFront Public Health
December 2024
Department of Nursing, Harbin Medical University, Harbin, China.
Objective: This study investigates the factors influencing sedentary behavior in older adult Chinese stroke patients using decision trees and logistic regression models.
Methods: Convenience sampling method was employed to enroll 346 respondents aged ≥60 years with stroke from the Department of Neurology of three tertiary-level A hospitals in Heilongjiang province, based on the inclusion criteria. The Sedentary Behavior Questionnaire for Older Adults, the International Physical Activity Questionnaire Short Form (IPAQ-S), the Pittsburgh Sleep Quality Index (PSQI), the Self-Rating Depression Scale (SDS), and the Social Support Scale (SSRS) were used to assess sedentary behavior, physical activity level, sleep quality, depressive symptoms, and social support, respectively.
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