21 research outputs found
New insights on Celtic migration in Hungary and Italy through the analysis of non-metric dental traits
The Iron Age is characterized by an extended interweaving of movements by Celts in Europe. Several waves of Celts from Western and Central Europe migrated southeast and west from the core area of the La Téne culture (between Bourgogne and Bohemia). Through the analysis of non-metric dental traits, this work aims to understand the biological relationship among Celtic groups arrived in Italy and the Carpathian Basin, as well as between local populations and Celtic newcomers. A total of 10 non-metric dental traits were analyzed to evaluate biological affinities among Celts (Sopron-Krautacker and Pilismarót-Basaharc) and Scythians-related populations from Hungary (Tápiószele), Celts from continental Europe (Switzerland and Austria), two Iron Age Etruscan-Celtic sites from northern Italy (Monterenzio Vecchio and Monte Bibele), 13 Iron Age central-southern Italic necropolises, and the northern Italian Bronze Age necropolis of Scalvinetto. Strontium isotopes were measured on individuals from the necropolis of Monte Bibele to infer their local or non-local origin. Results highlight the existence of statistically significant differences between Celts and autochthonous Italian groups. Celtic groups from Hungary and Italy (i.e., non-local individuals of Monterenzio Vecchio and Monte Bibele) share a similar biological background, supporting the historical records mentioning a common origin for Celts migrated to the eastern and southern borders of today’s Europe. The presence of a supposed Steppean ancestry both in Celts from Hungary and Celts from northern Italy corroborates the hypothesis of the existence of a westward migration of individuals and genes from the Steppe towards northern Italy during the Bronze and Iron Age, which contributed to the biological variability of pre-Celtic and later Celtic populations, respectively. Conversely, individuals from central-southern Italy show an autochthonous pre-Iron Age background. Lastly, this work supports the existence of Celtic migratory routes in northern Italy, as shown by biological and cultural admixture between Celts and Italics living together
Properties of local interactions and their potential value in complementing genome-wide association studies
Local interactions between neighbouring SNPs are hypothesized to be able to capture variants missing from genome-wide association studies (GWAS) via haplotype effects but have not been thoroughly explored. We have used a new high-throughput analysis tool to probe this underexplored area through full pair-wise genome scans and conventional GWAS in diastolic and systolic blood pressure and six metabolic traits in the Northern Finland Birth Cohort 1966 (NFBC1966) and the Atherosclerosis Risk in Communities study cohort (ARIC). Genome-wide significant interactions were detected in ARIC for systolic blood pressure between PLEKHA7 (a known GWAS locus for blood pressure) and GPR180 (which plays a role in vascular remodelling), and also for triglycerides as local interactions within the 11q23.3 region (replicated significantly in NFBC1966), which notably harbours several loci (BUD13, ZNF259 and APOA5) contributing to triglyceride levels. Tests of the local interactions within the 11q23.3 region conditional on the top GWAS signal suggested the presence of two independent functional variants, each with supportive evidence for their roles in gene regulation. Local interactions captured 9 additional GWAS loci identified in this study (3 significantly replicated) and 73 from previous GWAS (24 in the eight traits and 49 in related traits). We conclude that the detection of local interactions requires adequate SNP coverage of the genome and that such interactions are only likely to be detectable between SNPs in low linkage disequilibrium. Analysing local interactions is a potentially valuable complement to GWAS and can provide new insights into the biology underlying variation in complex traits
Monte Carlo Feature Selection and Interdependency Discovery in Supervised Classification
Proceedings of the 2008 MidSouth Computational Biology and Bioinformatics Society (MCBIOS) Conference
Geographical and temporal distribution of SARS-CoV-2 clades in the WHO European Region, January to June 2020
We show the distribution of SARS-CoV-2 genetic clades over time and between countries and outline potential genomic surveillance objectives. We applied three available genomic nomenclature systems for SARS-CoV-2 to all sequence data from the WHO European Region available during the COVID-19 pandemic until 10 July 2020. We highlight the importance of real-time sequencing and data dissemination in a pandemic situation. We provide a comparison of the nomenclatures and lay a foundation for future European genomic surveillance of SARS-CoV-2.Peer reviewe
Genetic variants and their interactions in disease risk prediction – machine learning and network perspectives
Tuberculosis in prehistory in eastern central Europe (Hungary) – Chronological and geographical distribution
Tuberculosis (TB) has long been a major scourge of humankind. Paleopathological and paleomicrobiological
studies have revealed the past presence of the disease on a large spatial and temporal scale. The antiquity of the
disease has extensively been studied in the Carpathian Basin, given its dynamic population and cultural changes
since prehistory. These studies, however, have mainly focused on the populations living during the Common Era.
The aim of this paper is to present the published and the recently discovered cases of prehistoric TB, from the Neolithic (6000–4500/4400 BCE) to the Bronze Age (2600/2500-800 BCE) Central Carpathian Basin (Hungary).
We summarize 18 published cases and present new cases dating to the Neolithic period and introduce 3 newly
discovered Bronze Age cases of TB. Despite extensive research, TB has not yet been identified from the Copper
and Iron Ages in the Carpathian Basin. Considering the state of TB research, and supplemented by our prehistoric
dataset, the spatio-temporal pattern of the disease can be further elucidated, thus advancing future molecular
and paleopathological studies. Our dataset offers comprehensive spatial and temporal information on the spread
of the disease in the Carpathian Basin, along with a detailed biological profile of the demonstrated cases and extensive paleopathological descriptions of the observed lesions, complemented by photographic evidence. This invaluable resource paves the way for enhanced understanding and progress in the field