Julien F. Ayroles

The paper shows that host diversity maintains genetic diversity in herbivore populations by preserving rare variants and reducing fitness trade-offs.

This study examines how APOE isoforms affect biological outcomes in industrialized and non-industrial environments, finding lifestyle-dependent effects and weak reproductive benefits for APOE ε4.

The paper develops and evaluates tailored illustrations to improve community understanding of genetics concepts through iterative feedback and analysis of engagement patterns.

The paper uses in vivo isotope tracing and AI to identify biosynthetic origins of unknown metabolites, revealing new metabolic pathways and age-related changes.

The paper examines how environmental stress affects gene expression variability and reveals genetic regulation of this variability in Drosophila.

This study uses longitudinal sequencing in Drosophila to show that genomic response to selection involves both polygenic shifts and epistatic interactions, with DEGs enriched for selected SNPs.

This study quantifies the heritability of drug response to statins, metformin, warfarin, and methotrexate in UK Biobank participants and identifies genetic modifiers of drug effects and side effects.

This study uses the stochastic block model to analyze gene co-expression networks in Drosophila, finding more complex structures than traditional modular models.

This study examines sex differences in immune function and disease risk across populations, finding no consistent support for the evolutionary mismatch hypothesis.

The paper identifies differential gene regulation across human ancestries by analyzing chromatin activity and finds enhancers show stronger selection signals than promoters.

The paper analyzes gene expression variance across 57 RNA-seq datasets to show that transcriptional variance is consistent across tissues and linked to gene function, sequence variation, and regulatory features.

The paper maps eQTLs in Drosophila melanogaster using an outbred panel, identifying cis and trans regulatory loci for most expressed genes and revealing non-modular gene co-expression networks.

This paper introduces a low-cost method to validate SNP-level genetic effects in outbred populations, demonstrating its utility in Drosophila for longevity traits.

The paper maps genetic effects on gene expression across diverse environmental conditions and finds context-dependent eQTLs enriched for disease-associated loci.

This study investigates behavioral variation within a genotype in Drosophila, finding sparse correlations between behaviors and showing that gene expression can predict positions on some behavior axes.

The paper identifies 30 genetic variants associated with offspring number and weight in Drosophila melanogaster under laboratory conditions, supporting a polygenic model with small-effect variants.

The paper develops a statistical test to detect polygenic epistasis by analyzing genotype-by-ancestry interactions in mice and yeast, finding significant associations across multiple phenotypes.

TM3seq is a cost-effective and high-throughput RNA-seq library preparation protocol that preserves sample identity and matches commercial kit performance.

This study identifies genetic and environmental factors that disrupt trait correlations, showing environmental perturbations reduce correlations and genetic factors influence correlation patterns.

The paper introduces ADGLM to model population variance structure, showing it biases genetic association studies and identifies novel genotype-variance associations.