Amy L. Williams

The paper simulates IBD segment sharing between relatives and finds that sharing rates drop significantly with genetic distance, with most distant relatives sharing no IBD segments.

This study finds that higher polygenic risk scores for breast cancer are associated with longer survival in patients, suggesting a link between genetic predisposition and less aggressive tumors.

This study compares phase-free and phase-based local ancestry inference methods, finding phase-free methods provide more accurate results despite lower phase quality.

HAPI-RECAP reconstructs parent genomes from full siblings and relatives, achieving high accuracy and enabling phenotypic analyses and pedigree reconstruction.

The paper benchmarks haplotype phasing methods on large datasets and introduces HAPTIC, an inter-chromosomal phasing method achieving low error rates for parent-of-origin classification.

PAPI infers parental admixture proportions and times from unphased local ancestry data, outperforming ANCESTOR in simulations and showing assortative mating in real data.

This study evaluates using IBD segment numbers for relatedness inference, finding they modestly improve recall but are limited by IBD detection accuracy.

The paper examines recombination patterns in cassava, finding higher female recombination rates and suppressed recombination in wild introgression segments.

CREST identifies pedigree relationships using IBD sharing and sex-specific genetic maps, achieving high accuracy in simulated and real datasets.

The paper develops Ped-sim, a method to simulate genetic data for relatives, showing that sex-specific maps and crossover interference significantly affect IBD sharing patterns.

The paper analyzes recombination patterns in cassava using pedigree and GBS data, finding sexual dimorphism in crossover frequency and introgression effects on recombination.

DRUID improves relative detection by inferring IBD sharing of ungenotyped ancestors, outperforming PADRE in identifying relatives and reducing generational gaps.

This study evaluates 12 relatedness inference methods using genome-wide data from 2,485 relatives, finding high accuracy for first and second degree relationships but significant drops for seventh degree relationships.

The paper identifies and analyzes non-crossover gene conversion events in humans, finding strong GC bias and unexpected clustering of conversion tracts.