William S. J. Valdar

R package DetectGxT fits allelic-additivity nonlinear models with optional donor or polygenic random effects, raising simulated power to detect gene-by-treatment interaction QTLs over linear regression.

The paper identifies immune mediators linking host susceptibility loci to disease severity across SARS-CoV and SARS-CoV-2 infections.

The paper identifies genetic loci affecting cocaine sensitivity in Collaborative Cross mouse strains through QTL mapping and proposes candidate genes for further study.

This paper introduces a method to classify gene-by-treatment interactions using Bayesian model selection and applies it to molecular count phenotypes with a software package.

The paper identifies a genetic locus associated with coronavirus disease susceptibility in mice and shows its relevance to human severe COVID-19 outcomes.

This study identifies a Themis mutation as a genetic contributor to peanut-induced anaphylaxis in CC027 mice through genetic mapping and immunological analysis.

The paper introduces a Bayesian model selection approach for mediation analysis and demonstrates its effectiveness using genetic data from mice and human cell lines.

The paper identifies 554 consensus genes in outbred rats and humans associated with body weight and BMI, revealing shared genetic regulatory mechanisms relevant for obesity.

This study shows that high fat diet affects metabolic health similarly in male and female HS rats but only males show altered behavioral responses, with genetic factors influencing both outcomes.

The paper uses Bayesian modeling to analyze XCI skew in genetically diverse mice, identifying a novel Xce allele linked to copy number changes.

This study introduces a Bayesian framework to infer allelic series in multiparental populations, distinguishing biallelic from multiallelic QTL and improving haplotype effect estimation.

The paper introduces MiniMUGA, a genotyping array for mouse genetic QC, showing it effectively discriminates strains, detects genetic constructs, and identifies sex chromosome abnormalities.

The paper identifies genetic regulators of gene expression and chromatin accessibility across multiple tissues using a genetically diverse mouse population and proposes a causal model for gene regulation.

The paper evaluates QTL mapping power in the Collaborative Cross using real genomes and simulations, providing guidelines for experimental design.

The paper analyzes reproductive success in mouse Collaborative Cross founder strains, finding that dam strain has a larger effect on litter size than sire strain.

The paper develops a Bayesian decision theoretic framework for designing two-founder experimental crosses using diallel data to optimize QTL mapping experiments.

vqtl is an R package for mean-variance QTL mapping that corrects for variance heterogeneity and integrates with existing tools for genetic analysis.

This paper introduces mean-variance QTL mapping to identify novel QTL for circadian activity and exploratory behavior in mice, showing its superiority over traditional interval mapping in detecting both mean- and variance-controlling QTL.

This paper develops a method to detect mean-variance QTLs while accounting for background variance heterogeneity, identifying a new mean QTL for bodyweight in mice.

The paper investigates parent-of-origin effects and environment-by-POE on behavior and gene expression using reciprocal F1 hybrids of inbred mouse strains exposed to different diets.

The paper uses a diallel analysis in mice to study how host genetics affect response to influenza A virus, identifying Mx1-dependent and independent heritable effects on weight loss.

This paper uses a diallel mating design and Bayesian analysis to study the genetic basis of shoot growth in carrot, finding that non-additive effects significantly influence early growth traits.