Kenneth L. Lange

The paper introduces HaploADMIXTURE, a method that uses haplotypes to estimate genetic admixture proportions, improving accuracy over SNP-based methods.

This paper introduces a penalized regression algorithm for multivariate GWAS using iterative hard thresholding, showing improved efficiency and reduced false positives compared to existing methods.

This paper introduces an unsupervised framework for selecting ancestry informative markers and estimating admixture proportions in large biobank datasets, demonstrating scalability and effectiveness.

The paper compares differential sensitivity analysis methods for biological models, finding forward-mode differentiation is fastest and complex-perturbation is simplest to implement.

MendelImpute.jl provides a fast, data-driven method for genotype imputation, phasing, and ancestry inference using linear algebra instead of hidden Markov models.

The paper uses pooled radiation hybrid analysis to identify loci affecting growth, drug response, and mitochondrial abundance in mammalian cells, finding high-resolution genetic effects and new insights into centromere function.

This paper introduces an improved iterative hard thresholding method for GWAS that enhances true positive rates and reduces false positives compared to traditional approaches.

The paper improves ADMIXTURE software for faster ancestry inference and better handling of sex-biased admixture in large genomic datasets.