Audrey E. Hendricks

A Bias Correction Method for Substructure Estimation with Small Reference Sample Sizes

The paper evaluates how small reference sample sizes affect substructure estimation and proposes bias corrections for improved accuracy.

The landscape of polygenic score prediction accuracy and transportability across the phenome in ancestrally diverse populations

This study evaluates polygenic score prediction accuracy and cross-ancestry portability across 3,994 PGSs in diverse populations, identifying factors affecting their performance and equity.

IgA Targeting in the Infant Gut Is Modulated by Diet and Increasingly Directed Towards Persistent Species

This study uses MIg-Seq to analyze IgA targeting in infant gut microbiota, finding increased targeting of Bifidobacterium and diet-specific associations with IgA binding.

RAREsim2: Flexible simulation of rare variant genetic data using real haplotypes

RAREsim2 simulates rare variant genetic data using real haplotypes, demonstrating its utility across association methods and genetic scenarios.

CCAFE: Estimating Case and Control Allele Frequencies from GWAS Summary Statistics

CCAFE estimates case and control allele frequencies from GWAS summary statistics using odds ratios and sample sizes, improving reusability of genetic data.

Modeling the genomic architecture of adiposity and anthropometrics across the lifespan

This study models the genomic architecture of adiposity and anthropometrics across the lifespan, identifying shared and distinct genetic factors and their associations with health outcomes.

Characterizing substructure via mixture modeling in large-scale genetic summary statistics

Summix2 uses mixture modeling to estimate and adjust for substructure in genetic summary data, improving the robustness and equity of research using diverse datasets.

Epigenome-wide association study meta-analysis of BMI in African American Adults

This study conducts an epigenome-wide association study (EWAS) meta-analysis of BMI in African American adults, identifying 208 significant CpGs and 54 DMRs associated with BMI, including novel and replicated findings.

Network-based representation learning reveals the impact of age and diet on the gut microbial and metabolomic environment of U.S. infants in a randomized controlled feeding trial

The paper uses network representation learning to analyze gut microbiome and metabolomic data from U.S. infants, finding diet type influences microbial and metabolic profiles during complementary feeding.

SimMiL: Simulating Microbiome Longitudinal Data

SimMiL simulates longitudinal microbiome data to assess statistical tools for microbiome analysis, showing it can replicate Type I error and power analyses of existing methods.

Accessible Analysis of Longitudinal Data with Linear Mixed Effects Models

The paper re-analyzes longitudinal mouse growth data using linear mixed effects models and compares them to ANOVA, showing inconsistencies and the importance of modeling correlated data correctly.

RAREsim: A simulation method for very rare genetic variants

RAREsim simulates rare genetic variants using real data parameters and annotations to improve method evaluation for complex trait studies.

Summix: A method for detecting and adjusting for population structure in genetic summary data

Summix adjusts for population structure in genetic summary data to improve accuracy of ancestry-proportion estimates and allele frequencies.

Genome-wide Copy Number Variations in a Large Cohort of Bantu African Children

This study identifies over 400,000 CNVs in 3400 Bantu African children, highlighting common CNVs overlapping disease-associated genes and providing a large dataset for African ancestry CNV research.

Low-frequency variation in TP53 has large effects on head circumference and intracranial volume

The paper identifies 9 novel genetic loci, including low-frequency variants in TP53, associated with head circumference and intracranial volume in up to 46,000 individuals.

ProxECAT: Proxy External Controls Association Test. A new case-control gene region association test using allele frequencies from public controls

ProxECAT is a new method that uses external control allele frequencies to test for genetic associations in case-control studies, increasing power while maintaining type I error rates.