David J. Balding

This paper improves demographic and evolutionary parameter estimation by using ARG-derived IBD segments without length thresholds, reducing computation time while maintaining statistical efficiency.

This paper introduces InferNo, a nonparametric method for estimating effective population size history, showing improved accuracy and flexibility over existing methods using simulation and human data.

The paper introduces LDWeaver, a method to detect co-selection in bacterial genomes by analyzing both short- and long-range linkage disequilibrium, and validates findings using functional annotation and phenotypic measurements.

The paper shows that early treatment with RAS inhibitors in SHR reduces kidney renin expression and lowers blood pressure long-term through genetic and epigenetic changes.

The paper introduces a fast algorithm for jointly inferring FST parameters and genetic structure trees from allele count data, applied to human populations and individuals.

LDAK-GBAT is a gene-based association testing tool that identifies more genome-wide significant genes than existing methods using summary statistics from large-scale studies.

This study identifies loci under selection in Latin American admixed populations, distinguishing between pre- and post-admixture selection, and finds signals related to immunity and energy metabolism.

This paper applies genome-wide association, prediction, and heritability analyses to bacterial data, identifying genetic factors influencing antibiotic resistance and within-host survival in Streptococcus pneumoniae.

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.

The paper evaluates heritability models using summary statistics from genome-wide association studies and finds the Baseline LD Model is most realistic but can be improved by incorporating features from the LDAK Model.

This paper shows that LDSC and SumHer can misestimate heritability due to confounding bias and covariate adjustments in GWAS data.

The paper analyzes ancestry in Latin Americans using haplotype-based methods, finding widespread Converso ancestry and links between Native ancestry and facial features.

The paper introduces SumHer, a method for estimating SNP heritability from summary statistics, showing it provides more accurate results than LDSC and reveals lower SNP category enrichments in complex traits.

The paper presents a simulation model to study the distribution of matching mitochondrial genomes in populations and their implications for forensic science and population history.

The paper validates and extends a simulation-based approach for evaluating Y-profile evidence, incorporating relative data and mixture analysis.

The paper challenges the validity of S-LDSC by showing it produces unreliable enrichment estimates and defends the LDAK Model as more accurate for SNP heritability analysis.

The paper proposes a simulation model and software to estimate the number of males with a matching Y-chromosome profile, addressing challenges in forensic DNA evidence evaluation.

The paper re-evaluates SNP heritability estimates for 19 human traits using an improved model, finding higher heritability estimates compared to existing methods and lower contribution from DNaseI hypersensitivity sites.