Anders Albrechtsen

The paper introduces a calibration method to reduce sample-size bias in linkage disequilibrium estimation, showing improved accuracy in both simulated and real data, especially with small sample sizes.

This paper presents the first whole-genome data for the giant forest hog, revealing its evolutionary relationship with warthogs and significant genetic differentiation between populations.

This study reconstructs a time-calibrated hummingbird phylogeny, finding stepwise diversification in the Andes rather than a monophyletic Andean clade.

This study identifies 251 genetic variants influencing plasma proteins in Greenlandic Inuit, revealing population-specific associations with cardiometabolic disease.

The paper introduces an adjusted linkage disequilibrium measure that accounts for population structure, improving LD pruning and clumping in structured populations.

This study sequenced impala genomes to investigate evolutionary stasis, finding genetic structure and reduced natural selection in eastern populations compared to southern African ones.

The paper develops methods for analyzing low-depth NIPT sequencing data to accurately estimate allele frequencies and genetic effect sizes, enabling population genetic studies.

QUILT2 enables accurate genotype imputation from low coverage short and long reads and cell-free DNA, improving GWAS and PRS for maternal and fetal genomes.

This paper develops a method to accurately compute genetic statistics from low-depth sequencing data, improving the reliability of population tree inference.

PCAone is a fast and memory-efficient PCA framework that outperforms existing methods on large-scale biobank and single-cell RNA sequencing data.

The paper evaluates population structure inferred by PCA or admixture models by assessing model fit and identifying poorly represented individuals.

This paper introduces apoh, a software tool to estimate admixture pedigrees of recent hybrids using interancestry heterozygosity patterns from SNP data, validated on human and animal datasets.

The paper investigates the impact of the LDLR p.G137S variant on metabolic health and cardiovascular disease risk in Greenlanders, finding it increases FH and cardiovascular disease risk in up to 30% of the population.

The paper develops ANGSD-asso, a method for GWAS with genotype uncertainty, showing improved power and reduced bias in structured populations and with covariates.

This study evaluates the robustness of polygenic adaptation signals detected using GWAS summary statistics across different populations and cohorts.

The paper introduces two selection statistics for detecting selection signals in low-coverage sequencing data using PCAngsd, showing they control false positives and match results from high-quality genotypes.

NGSremix estimates pairwise relatedness in admixed individuals from low-depth NGS data, outperforming existing methods by accounting for genotype uncertainty.

EMU accurately infers population structure from ultra-low coverage sequencing data with missingness, outperforming existing methods on real and simulated datasets.

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

This study analyzes ancient genomes from the Viking Age to understand genetic structure and migration patterns, finding significant foreign gene flow and population differentiation.

The paper evaluates the fit of admixture models by analyzing residual correlations in genetic data, identifying cases where model assumptions are violated.

This study estimates narrow-sense heritability in admixed populations using simulations and proposes a PCA-based adjustment to improve accuracy.

This paper introduces a likelihood method to estimate present-day human contamination in ancient DNA samples using low-depth haploid chromosome data, showing improved accuracy compared to existing methods.

The paper identifies 746k polymorphic sites in Capsicum species and finds four novel loci associated with fruit shape, including a mutation in the Longifolia 1-like gene.

The paper introduces a method to test Hardy-Weinberg Equilibrium in structured populations using NGS data, accounting for population structure to detect deviations caused by factors other than structure.

This paper introduces a statistical method for association testing in admixed populations that allows ancestry-dependent effect sizes, improving power to detect associations and helping identify causal SNPs.

This paper introduces a method to infer close familial relationships from genotypes or low-depth sequencing data without requiring allele frequencies or genomic positions, showing comparable accuracy to existing methods.

The paper presents two methods for inferring population structure and admixture proportions in low depth NGS data using PCAngsd framework.