Genomics can reveal essential features about the demographic evolution of a population that may not be apparent from historical elements. In recent years, there has been a significant increase in the number of studies applying genomic epidemiological approaches to understand the genetic structure and diversity of human populations in the context of demographic history and for implementing precision medicine. These efforts have traditionally been applied predominantly to populations of European origin. More recently, initiatives in the United States and Africa are including more diverse populations, establishing new horizons for research in human populations with African and/or Native ancestries. Still, even in the most recent projects, the under-representation of genomic data from Latin America and the Caribbean (LAC) is remarkable. In addition, because the region presents the most recent global miscegenation, genomics data from LAC may add relevant information to understand population admixture better. Admixture in LAC started during the colonial period, in the 15th century, with intense miscegenation between European settlers, mainly from Portugal and Spain, with local indigenous and sub-Saharan Africans brought through the slave trade. Since, there are descendants of formerly enslaved and Native American populations in the LAC territory; they are considered vulnerable populations because of their history and current living conditions. In this context, studying LAC Native American and African descendant populations is important for several reasons. First, studying human populations from different origins makes it possible to understand the diversity of the human genome better. Second, it also has an immediate application to these populations, such as empowering communities with the knowledge of their ancestral origins. Furthermore, because knowledge of the population genomic structure is an essential requirement for implementing genomic medicine and precision health practices, population genomics studies may ensure that these communities have access to genomic information for risk assessment, prevention, and the delivery of optimized treatment; thus, helping to reduce inequalities in the Western Hemisphere. Hoping to set the stage for future studies, we review different aspects related to genetic and genomic research in vulnerable populations from LAC countries.
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http://dx.doi.org/10.3389/fgene.2023.1091269 | DOI Listing |
J Ethn Subst Abuse
January 2025
Arizona State University, Tempe, Arizona.
Unlabelled: The large majority (over 70%) of American Indian adolescents who reside in cities rather than tribal lands or rural areas report relatively earlier onset of substance use and more harmful associated health effects, compared to their non-Native peers.
Objective: This study investigated multilevel ecodevelopmental influences on empirically derived patterns of substance use among urban American Indian adolescents.
Method: Data came from 8th, 10th, and 12th grade American Indian adolescents ( = 2,407) in metropolitan areas of Arizona.
J Anim Ecol
January 2025
University of Florida, Department of Wildlife Ecology and Conservation, Gainesville, Florida, USA.
Invasive predators pose a substantial threat to global biodiversity. Native prey species frequently exhibit naïveté to the cues of invasive predators, and this phenomenon may contribute to the disproportionate impact of invasive predators on prey populations. However, not all species exhibit naïveté, which has led to the generation of many hypotheses to explain patterns in prey responses.
View Article and Find Full Text PDFJ Racial Ethn Health Disparities
January 2025
Epidemiology and Health Economics Research (EHER), Universidad Científica del Sur, Lima, Peru.
Background: The Afro-Peruvian population is one of the ethnic minorities most affected by cultural, socioeconomic, and health barriers; however, there is little evidence on health inequalities in this ethnic group. Therefore, We aimed to determine health inequalities among the Peruvian Afro-descendant population in comparison with non-Afro-descendants.
Methods: A cross-sectional study was conducted using data from the Demographic and Family Health Survey 2022.
Introduction: This report uses data from the 2023 National Health Interview Survey to provide updated percentages of adults who experienced chronic pain and high-impact chronic pain in the past 3 months by selected demographic characteristics and urbanization level.
Methods: Point estimates and corresponding confidence intervals for this analysis were calculated using SAS-callable SUDAAN software to account for the complex sample design of the National Health Interview Survey. Differences between percentages were evaluated using two-sided significance tests at the 0.
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