Forensic and Genetic Research

This paper applies variational autoencoders to genomic data to capture population structure, enable dimensionality reduction, and improve data compression across diverse populations.

The paper introduces mtDNA-Network, a tool for analyzing mitochondrial variants in admixed Brazilian populations with complex diseases.

The paper introduces the Tweap protocol, an optimized target enrichment method for ancient DNA, which reduces costs and increases SNP recovery compared to the Twist protocol.

The paper analyzes whole-exome sequencing data from 13 tribal groups in Odisha, India, identifying genetic structure, rare variants, and clinically relevant pathogenic variants.

This study identifies genomic signals of selection in Asian populations linked to immunity, diet, and subsistence strategies, revealing complex interactions between cultural practices and natural selection.

This study uses ancient DNA to identify global patterns of natural selection across 7244 individuals from five regions, finding shared and region-specific adaptive signals.

This paper introduces a scalable haplotype cluster-based method for genome-wide ancestry estimation, achieving higher accuracy and speed compared to existing approaches.

The paper develops a minimally invasive workflow to recover biological signatures from Renaissance-era artifacts, revealing microbial biomes and Y-chromosome markers linked to historical handling and conservation.

This study presents the first whole-genome sequencing of Sudanese populations, revealing complex admixture history and adaptive genetic variants related to malaria resistance in Sudanese Copts.

The paper introduces sedimix, an open-source workflow for analyzing hominin nuclear DNA sequences from sediments, demonstrating high sensitivity and precision through simulations and comparisons to published studies.

The paper compares self-declared and genome-inferred ancestry in 10,250 HostSeq participants, finding high concordance for some groups and lower for others, highlighting the complexity of admixture and the need for complementary approaches.

This study evaluates machine learning's ability to predict ancient DNA age from damage profiles, finding no significant predictive power beyond baselines.

yallHap improves Y-chromosome haplogroup classification with probabilistic scoring, ancient DNA support, and high accuracy across modern and ancient samples.

This study analyzes genome-wide data from Early Bronze Age individuals in Lower Austria to explore social structure and genetic relationships, revealing patrilocal society and long-distance genetic connections.

The paper introduces a generalized admixture model that accounts for relatedness among admixed populations and shows it can estimate individual-level relatedness.

This study analyzes genomic data from 200 medieval individuals to reveal the genetic structure and origins of the Rus population, identifying Slavic-related and Fenno-Ugrian components with shared ancestry from ancient Baltic populations.

This study uses forensic genetic techniques to identify Columbus descendants from archaeological remains through familial relationship analysis.

The paper analyzes ancient genomes from Roca Vecchia to determine genetic contributions from Minoans and local populations during the Bronze Age.

This study analyzes eight high-coverage Jomon genomes to reveal genetic continuity and phenotypic traits of ancient Japanese hunter-gatherers, showing their genetic influence on present-day Japanese populations.

The paper examines genetic and cultural changes in post-Roman Europe, finding that cultural shifts in Slovenia occurred without corresponding genetic changes, indicating a decoupling of cultural and genetic dynamics.

This study uses whole-Y sequencing to identify and date Cohen lineages, revealing nine major branches and their geographic dispersal across the Jewish Diaspora.

The paper analyzes ancient DNA from a 7,000-year-old goat leather specimen, revealing its domestic goat origin and genetic connections to modern Iberian breeds, while also identifying human and canid DNA fragments.

This study uses paleogenomics to analyze 20 ancient individuals from the Chonos Archipelago, revealing unique genetic clusters and connections to neighboring Indigenous groups.

This paper introduces a Bayesian framework for inferring population structure using IBD-based stochastic block models, showing improved accuracy over heuristic methods in both simulated and real data.

This paper introduces POLEGON, a method for estimating branch lengths in Ancestral Recombination Graphs using uninformative priors, showing improved coalescence time estimates and population size inferences.

ybyra assigns Y-chromosome haplogroups using a tree-based scoring method and supports human and horse data.

This study evaluates Recombinase Polymerase Amplification (RPA) for amplifying forensic STR loci, showing successful singleplex amplification but challenges in multiplex formats.

The paper improves intra-European ancestry prediction by selecting informative genetic markers using machine learning, achieving higher accuracy than existing marker panels.