Nomadic groups of conquering Hungarians played a predominant role in Hungarian prehistory, but genetic data are available only from the immigrant elite strata. Most of the 10–11th century remains in the Carpathian Basin belong to common people, whose origin and relation to the immigrant elite have been widely debated. Mitogenome sequences were obtained from 202 individuals with next generation sequencing combined with hybridization capture. Median joining networks were used for phylogenetic analysis. The commoner population was compared to 87 ancient Eurasian populations with sequence-based (Fst) and haplogroup-based population genetic methods. The haplogroup composition of the commoner population markedly differs from that of the elite, and, in contrast to the elite, commoners cluster with European populations. Alongside this, detectable sub-haplogroup sharing indicates admixture between the elite and the commoners. The majority of the 10–11th century commoners most likely represent local populations of the Carpathian Basin, which admixed with the eastern immigrant groups (which included conquering Hungarians).

Biological processes are inherently continuous, and the chance of phenotypic discovery is significantly restricted by discretising them. Using multi-parametric active regression we introduce the Regression Plane (RP), a user-friendly discovery tool enabling class-free phenotypic supervised machine learning, to describe and explore biological data in a continuous manner. First, we compare traditional classification with regression in a simulated experimental setup. Second, we use our framework to identify genes involved in regulating triglyceride levels in human cells. Subsequently, we analyse a time-lapse dataset on mitosis to demonstrate that the proposed methodology is capable of modelling complex processes at infinite resolution. Finally, we show that hemocyte differentiation in Drosophila melanogaster has continuous characteristics.

The Aba family played a pivotal role in Medieval Hungary, dominating vast territories and producing influential figures. We conducted an archaeogenetic study on remains from the necropolis in Abasár, the political center of the Aba clan, to identify family members and explore their genetic origins. Using Whole Genome Sequencing (WGS) data from 19 individuals and radiocarbon dating, we identified 6 Aba family members with close kinship ties. Four males carried identical N1a1a1a1a4∼ haplogroups, and our phylogenetic analysis traced this royal paternal lineage back to Mongolia, indicating migration to the Carpathian Basin with the conquering Hungarians. Genome analysis, including ADMIXTURE, principal-component analysis (PCA), and qpAdm, revealed East Eurasian genetic patterns, aligning with our phylogenetic findings. Identity by descent (IBD) analysis confirmed family kinship and revealed connections to prominent Hungarian noble families like the Árpáds, Báthorys, and Corvinus, as well as to the first-generation immigrant elite of the Hungarian conquest.

The Aba family played a pivotal role in the early history of Medieval Hungary dominating extensive territories and giving rise to influential figures. We conducted an archaeogenetic examination of remains uncovered at the necropolis in Abasár, the political centre of the Aba clan, to identify Aba family members and shed light on their genetic origins. Utilizing Whole Genome Sequencing (WGS) data from 19 individuals, complemented by radiocarbon measurements, we identified 6 members of the Aba family who shared close kinship relations. Our analysis revealed that 4 males from this family carried identical N1a1a1a1a4∼ haplogroups. Significantly, our phylogenetic investigation traced this royal paternal lineage back to Mongolia, strongly suggesting its migration to the Carpathian Basin with the conquering Hungarians. Genome analysis, incorporating ADMIXTURE, Principal Component Analysis (PCA), and qpAdm, revealed East Eurasian patterns in the studied genomes, consistent with our phylogenetic results. Shared Identity by Descent (IBD) analysis confirmed the family kinship relations and shed light on further external kinship connections. It revealed that members of the Aba family were related to members of prominent Hungarian medieval noble families the Árpáds, Báthorys and Corvinus as well as to the first-generation immigrant elite of the Hungarian conquest.

The prediction of externally visible traits (eye, hair and skin colours) from DNA can provide valuable information for both contemporary and ancient human populations. The validated HIrisPlex-S method is the primary tool in forensics for phenotyping modern samples. The HIrisPlex-S multiplex PCR assay can handle trace DNA from modern samples, but the analysis of degraded, low coverage ancient DNA (aDNA) presents additional challenges. Genotype imputation has recently proven successful in effectively filling in missing information in aDNA sequences. To assess the feasibility of this approach, we evaluated how key factors, such as genome coverage, minor allele frequency, extent of post mortem damage, and the population origin of the test individual influence the efficiency of imputing HIrisPlex-S markers and predicting phenotypes. We used high coverage sequence data from ancient remains for the evaluation. Our results demonstrate that even with genome coverages as low as 0.1-0.5x, the proposed workflow is capable of predicting phenotypes from degraded ancient (or forensic) WGS data with good accuracy. To aid the archaeogenetics community, we have developed a user-friendly, easily deployable imputation-based framework that includes the new bioinformatics tools and the pre-made reference data sets required for the whole analysis.