Sharon R. Browning

The paper models gene conversion tract lengths in humans using UK Biobank data, finding most tracts are short with a mean of 16.9 bp, and a small proportion are much longer.

FLARE2 improves local ancestry inference by using haplotype clustering, enabling accurate results even when reference panels are poorly matched.

The paper proposes a method to correct for multiple testing in genome scans for recent positive selection using identity-by-descent segments, showing it controls FWER and detects selection signals across ancestry groups.

This paper estimates gene conversion rates using multi-individual identity-by-descent inference and finds higher correlation with PRDM9 binding enrichment than crossover maps.

The paper introduces an IBD mapping method with multiple testing adjustment to associate genome-wide loci with complex traits, showing improved power for rare variants.

This paper introduces an efficient algorithm for simulating identity-by-descent segments, achieving linear scaling in sample size and enabling feasible statistical analyses of large datasets.

This study shows that adjusting for principal components in GWAS of admixed populations can lead to biased results and spurious associations due to collider bias.

This study estimates genotype error rates and uncalled deletion rates in whole genome sequence data using a new model applied to UK Biobank parent-offspring trios.

The paper introduces a method to efficiently infer multi-individual identity by descent and detect gene conversion in biobank-scale sequence data, finding over 9 million converted alleles in UK Biobank data.

This paper develops statistical methods to detect and estimate recent positive selection in European ancestry populations using identity-by-descent haplotype segments.

FLARE infers local ancestry with high accuracy and efficiency, scaling to large datasets using advanced computational techniques.

The paper describes a pipeline for phasing 150,119 UK Biobank genomes, achieving a switch error rate of 0.00032 after filtering.

The paper estimates genome-wide mutation rates from population data using IBD segments, finding consistent rates across three populations.

The paper estimates X chromosome effective population size using IBD segments and applies it to infer sex-specific demographic history from UK Biobank data.

The paper identifies ancestry-derived loci associated with CKD traits and risk factors in U.S. Hispanic/Latino individuals of Central American origin using admixture mapping.

The paper estimates genotype error rates in trio-based haplotype phasing and shows genotype errors inflate switch error rates in offspring.

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.

The paper estimates IBD segment endpoints with uncertainty quantification and detects recent selection signals using UK Biobank data.

The paper introduces hap-IBD, a fast and accurate method for detecting IBD segments in large-scale genotype data, outperforming existing methods in speed and accuracy.

The paper analyzes de novo mutations in 1,465 genomes to show similar mutation rates across ancestries but reduced rates in the Amish population, with environmental factors possibly influencing mutation rates.

The paper introduces Beagle 5.0, a genotype imputation method that significantly reduces computational cost compared to existing methods while maintaining similar accuracy.