For the correct evaluation of the weight of genetic evidence in a forensic context, databases must reflect the structure of the population, with all possible groups being represented. Countries with a recent history of admixture between strongly differentiated populations are usually highly heterogeneous and sub-structured. Bolivia is one of these countries, with a high diversity of ethnic groups and different levels of admixture (among Native Americans, Europeans and Africans) across the territory. For a better characterization of the male lineages in Bolivia, 17 Y-STR and 42 Y-SNP loci were genotyped in samples from La Paz and Chuquisaca. Only European and Native American Y-haplogroups were detected, and no sub-Saharan African chromosomes were found. Significant differences were observed between the two samples, with a higher frequency of European lineages in Chuquisaca than in La Paz. A sample belonging to haplogroup Q1a3a1a1-M19 was detected in La Paz, in a haplotype background different from those previously found in Argentina. This result supports an old M19 North-south dispersion in South America, possibly via two routes. When comparing the ancestry of each individual assessed through his Y chromosome with the one estimated using autosomal AIMs, (a) increased European ancestry in individuals with European Y chromosomes and (b) higher Native American ancestry in the carriers of Native American Y-haplogroups were observed, revealing an association between autosomal and Y-chromosomal markers. The results of this study demonstrate that a sub-structure does exist in Bolivia at both inter- and intrapopulation levels, a fact which must be taken into account in the evaluation of forensic genetic evidence.
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http://dx.doi.org/10.1007/s00414-014-1025-x | DOI Listing |
Sci Rep
January 2025
Department of Computer Science, Faculty of Computers and Information, Suez University, P. O. Box 43221, Suez, Egypt.
Diabetes is a long-term condition characterized by elevated blood sugar levels. It can lead to a variety of complex disorders such as stroke, renal failure, and heart attack. Diabetes requires the most machine learning help to diagnose diabetes illness at an early stage, as it cannot be treated and adds significant complications to our health-care system.
View Article and Find Full Text PDFTissue Eng Part A
January 2025
Orthopaedic and Bioengineering Research Laboratory, Colorado State University, Fort Collins, Colorado, USA.
JTO Clin Res Rep
January 2025
Department of Electrical and Computer Engineering, University of Iowa, Iowa City, Iowa.
Introduction: Despite efforts to achieve health care equality, racial/ethnic disparities persist in lung cancer survival in the United States, with non-Hispanic Black patients experiencing higher mortality compared with non-Hispanic Whites. Previous research often focused on single treatments, overlooking the broad range of options available. We aimed to highlight disparities in survival and receipt of comprehensive lung cancer treatment by developing a guideline-concordant initial treatment (GCIT) indicator based on disease stage and recommended treatment.
View Article and Find Full Text PDFBackground: Tooth wear is an important mechanism for reducing dental dimensions and, consequently, dental crowding. The objective of this cohort study was to examine the relation of tooth wear, adjusted for covariates (age, tooth loss, arch perimeter and intercanine width), on tertiary crowding in Amazon Indigenous populations.
Methods: A sample of 40 Indigenous people in permanent dentition at T0 (baseline) and after 13 years (T1) were evaluated.
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.
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