Alison A. Motsinger‐Reif

The paper analyzes HLA variation across six ancestry groups in the All of Us Research Program to identify HLA-phenotype associations and assess ancestry-specific genetic architecture.

Tox21mer is a transformer model trained on Tox21 concentration-response curves to predict compound activity and AC50, achieving high accuracy in outcome prediction and log10(AC50) estimation.

This study identifies 15 novel HLA associations with underreported conditions using high-resolution HLA genotypes and self-reported health data from 70,724 individuals.

This study identifies genetic loci for MetS-like traits in Drosophila and finds that main genetic effects are distinct from diet-dependent plastic loci.

TaxaNorm is a normalization method for microbiome data that accounts for taxon-specific sequencing depth effects, improving performance in downstream analysis and technical bias correction.

This paper introduces a machine learning method to detect same-species contamination in sequencing data using variant calling information, achieving high sensitivity and specificity in both simulated and real data.

The paper introduces POINT, a method that uses protein structure to identify individual rare variants associated with complex diseases by performing localized association tests.

The paper identifies altered bile acid profiles in Alzheimer's disease, linking them to cognitive impairment and genetic variants through a large study.