Gary A. Churchill

The paper develops a prediction-interval framework to identify outlier control cohorts in lifespan studies using data from the National Institute on Aging Interventions Testing Program.

Mass spectrometry of Mag-Net-enriched plasma extracellular vesicles from 86 C57BL/6J mice reveals 272 age-correlated proteins, sex-divergent trajectories, and an age clock with 2.75-month mean absolute error.

This study identifies molecular changes in diet-restricted mice that correlate with lifespan and aging, highlighting key genes and pathways involved in longevity.

The paper identifies genetic regulators of the murine serum metabolome, highlighting carboxyl esterases as key controllers of fatty acid metabolism.

The paper identifies age-related molecular changes in mouse spleens using proteomics and transcriptomics, showing cell-type-specific remodeling and gender differences in post-transcriptional buffering.

This study shows that genetic background and sex influence responses to intermittent fasting in mice, with effects on lifespan and health outcomes varying across strains.

The paper analyzes longitudinal body weight data in mice to identify traits linked to lifespan, finding heritable traits associated with energy homeostasis and longevity.

The paper identifies a composite transcriptome signature with high distal heritability that explains 30% of metabolic trait variation across species.

This study identifies six longevity-associated loci in Diversity Outbred mice through a genetic meta-analysis of lifespan data from three studies, explaining over half of the heritable variation in lifespan.

The paper identifies genetic variants affecting innate lymphoid cells in the gut using single-cell RNA-seq and validates their regulatory roles across cell types.

The paper extends a machine vision-based frailty assessment tool to genetically diverse mice, enabling accurate prediction of frailty, age, and lifespan proportions using video data.

The paper identifies genetic factors influencing red blood cell proteome and oxidative stress in mice, highlighting hemoglobin cysteine redox status as critical for glutathione regulation.

The paper models metabolic disease susceptibility and resilience in genetically diverse mice by analyzing diet-induced metabolic responses across three strains.

This study identifies Steap3 as a regulator of ferroptosis-like lipid peroxidation in stored RBCs, linking genetic variants to hemolysis in mice and human blood donors.

In 937 genetically diverse female mice, caloric restriction and intermittent fasting extended lifespan, yet bodyweight resilience, immune and red-cell traits, not metabolic improvements, predicted longevity.

The paper assesses the impact of co-housing on lifespan studies in mice, showing that outcomes are correlated within housing units and highlighting limitations of standard statistical models.

This study identifies new genetic loci and candidate genes associated with tuberculosis susceptibility in mice using systems genetics approaches.

The paper introduces 11 wild-derived inbred mouse strains with expanded genomic and phenotypic diversity, enhancing the scope of biomedical research.

This study uses frailty phenotyping to predict lifespan and age-associated morbidity in mice, finding it has significant predictive power but not sufficient reliability for advanced lifespan prediction.

GenomeMUSter integrates and harmonizes mouse genetic variation data across populations to enable multi-trait, multi-population analyses and improve variant-phenotype association studies.

The paper identifies cell morphology quantitative trait loci (cmQTL) in fibroblasts exposed to arsenic, revealing gene-environment interactions and genetic regulation of oxidative stress responses.

The paper analyzes the multiome of Diversity Outbred mice to explore how aging and lifespan are related, finding that proteomic changes correlate with biological age rather than chronological age.

The paper identifies Abhd2 as an enzyme involved in metabolizing phosphatidylcholine and cardiolipin using genetic and lipidomic data from Diversity Outbred mice.

The paper analyzes proteomic changes across 10 tissues in mice at different ages, finding age-related increases in immune proteins and tissue-specific alterations in protein complexes.

The paper examines how histone modifications vary across mouse strains and correlates these variations with gene expression, finding strong links between chromatin states and gene expression, but not DNA methylation.

The paper identifies three genetic loci influencing mitochondrial proteins and heart hypertrophy in mice using proteomics and association mapping.

This study integrates multi-omics data from mouse embryonic stem cells to identify genetic drivers of proteome variability and uncover regulatory mechanisms in pluripotency.

This paper shows that measurement error in mediation analysis can lead to incorrect causal inferences in genetic studies, even when no true mediation exists.

This study evaluates genomic prediction models incorporating gene transcripts and finds that transcript-based models improve accuracy when phenotypes are measured close to transcript sampling, but combining transcript and SNP data does not consistently outperform single-omics models.

The paper introduces SEESAW, a method to detect isoform-level allelic imbalance while accounting for inferential uncertainty, and evaluates it on simulated and real RNA-seq data.