Daniel John Lawson

This paper uses haplotype components to improve GWAS by addressing population stratification, identifying more significant associations for birthplace and lifestyle traits.

The paper introduces efficient algorithms for fine-scale local ancestry inference using haplotypes, revealing recent selection on immune-related genomic regions in the UK Biobank.

This study shows demographic processes like drift, expansion, and migration significantly impact the heritability and power of GWAS for complex traits.

The paper shows genetic effect sizes are similar across African and European populations for most traits, suggesting shared causal mutations and improving GWAS portability.

This paper shows that genomic data and local ancestry analysis can help remove hybrid DNA in captive breeding programs to prevent genetic swamping.

HTRX is an R package that identifies non-contiguous SNP haplotypes associated with a phenotype using cross-validation and constrained feature set growth.

The paper estimates selection coefficients for DNA methylation sites and finds evidence of both positive and negative selection, highlighting DNAm's role in biological pathways.

The paper identifies genetic variants influencing DNA methylation in blood and shows their associations with complex traits and diseases, but finds limited direct causality.

The paper shows that genetic drift from the Out-of-Africa bottleneck biases the estimation of genetic architecture and selection, and proposes a model to correct for this bias.

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 shows that using a standardized reference dataset improves GWAS meta-analysis by reducing population stratification bias across different cohorts.

This study examines the relationship between alcohol consumption and mate selection using UK Biobank data, finding that genetic variants associated with alcohol use influence partner selection.

The paper examines geographical stratification of genetic variants in UK Biobank data and its impact on genetic association analyses, finding that genetic risk scores show geographic structure and may introduce bias.

The paper demonstrates how to assess the reliability of genetic clustering results from STRUCTURE/ADMIXTURE using simulated and real data with badMIXTURE.

This study analyzes the population genomics of Cryptococcus neoformans var. grubii, revealing hybridization, biogeographic relationships, and genetic structure across global isolates.