Forensic and Genetic Research

This study evaluates imputation methods for ancient DNA data using Beagle 4.0 and 1000 Genomes reference data, showing high accuracy at low coverage and benefits of phased references and low-coverage samples.

The paper analyzes genetic diversity patterns across human ethnic groups using the 1000 Genomes Project data, identifying group-specific fixed alleles and their evolutionary implications.

This study uses multi-omics analysis of ancient human remains from Sicily to show genetic homogeneity and a diet rich in animal proteins during the Upper Palaeolithic.

This study quantifies secondary DNA transfer on denim using a human blood analogue and shows that friction leads to the highest DNA transfer and STR profile quality.

This study uses genomic data to analyze the recent population history of the Mapuche, finding shared ancestry with Southern Patagonia and Central Chile populations, a population bottleneck around 1650 AD, and post-admixture adaptation in Chileans.

The paper infers the demographic history of the Nama population and constructs a population-specific recombination map, showing it diverges from existing continental recombination maps.

The paper examines genetic diversity at HLA loci in the MHC region, showing that while SNPs show low FST values, haplotype frequencies vary geographically, impacting bone-marrow transplantation.

The paper analyzes genome-wide SNP data from Sanya Hui people to infer their genetic origins and admixture history, revealing tripartite origins from Central Vietnam, East Asia, and Central/South Asia.

The paper uses genomic data to infer admixture dynamics in colonial Mexico, identifying the genetic legacy of the Manila Galleon trade route from Southeast Asia to Acapulco.

This study explores using deep convolutional neural networks to classify human populations based on SNP image graphs from genome-wide data, achieving high accuracy in some cases.

The paper genotypes 22 STR markers from 1000 Genomes Project data using HipSTR, creating an open-access database showing reliable allele frequencies and population separation.

AFA estimates ancestral allele frequencies in admixed populations with high accuracy, showing strong correlation with gnomAD frequencies in the Hispanic Community Health Study/Study of Latinos.

This study connects genetic ancestry from three ancient populations to complex traits in Estonian Biobank samples, finding ancestry-specific contributions to traits like BMI and blood cholesterol.

This study analyzes genome-wide SNP data from 510 individuals across 38 Mongolic, Tungusic, and Sinitic populations to explore genetic structure, admixture history, and demographic patterns in North-East Asia.

This paper models the impact of climate and terrain on human ancestral genetic lineages, showing that these factors explain lineage divergence and migration patterns.

The paper evaluates the coverage of a probabilistic genotyping system by testing multiple layers of conservativism and finds improved precision with extended MCMC runs.

The paper tests two methods for quantifying Monte Carlo variation in probabilistic genotyping, finding both fall short of achieving 99% coverage but provide additional conservatism.

The paper reconstructs the demographic history of Tai-Kadai and Sinitic people in South China using genome-wide data and reference datasets, revealing genetic contributions from millet and rice farmers.

The paper identifies significant Central Asian ancestry in Bulgarians and early medieval populations, linking it to the Wusun tribes and suggesting historical migration patterns.

The paper shows PCA results in population genetics are unreliable and can be manipulated, suggesting a need for alternative methods.

The paper recalculates divergence times between populations using SNPs from the 1000 Genomes Project by comparing individuals to an out-group.

The paper re-evaluates binomial inference for SNP-based forensic mixtures, introducing NITZq to calculate likelihood ratios and comparing it to EUROFORMIX.

The paper presents genomic analyses of 10,376 Chinese individuals, identifying novel genetic variations and providing a reference haplotype map, along with an imputation server for improved accuracy.

The paper examines how mutation, recombination, selection, and demography shape genetic variation across different regions of the human X chromosome using data from 26 populations.

The paper analyzes maternal lineages from 10-11th century commoner cemeteries in the Carpathian Basin, finding they differ from elites and show admixture with eastern immigrant groups.

This paper introduces Ancestry Composition, a pipeline for ancestry deconvolution that uses over 14,000 reference haplotypes to improve accuracy and scalability.

This study examines the genetic structure of Ethiopians, linking cultural and geographic factors to genetic diversity and intermixing across 68 ethnic groups.

HaploNet uses neural networks to infer population structure from whole-genome sequencing data, outperforming standard methods in distinguishing closely related populations.

The paper characterizes human genomic variations and mutation burden in Botswana using whole genome sequencing, identifying damaging variants and admixture patterns.

The paper evaluates prediction accuracy for eye, hair, and skin pigmentation in admixed Latin Americans using genomic and phenotypic data, finding that Random Forest and regression perform best, and that pigmentation SNPs improve accuracy, especially for skin color.