Craig A. Glastonbury

This study uses 3D diffusion autoencoders to derive latent cardiac MRI phenotypes, finds they share a genetic basis with cardiometabolic traits, and shows predictive power for disease risk.

The paper uses a deep learning pipeline to analyze placental histology and identifies cellular and structural changes across different lesion types.

The paper introduces TGlow, a high-content imaging platform for single-cell phenotyping of human lymphocytes, revealing distinct morphological states and drug responses.

This paper uses self-supervised learning to analyze histology images and predict spatial RNA expression across 23 human tissues, revealing population variability and its impact on gene expression.

This study identifies rare loss of function variants in four genes associated with beneficial changes in body fat distribution using genome-wide and exome-sequence data from UK Biobank.

The paper develops a deep learning method for adipocyte phenotyping and finds adipocyte area correlates with BMI but no genome-wide significant genetic associations.

The paper investigates cell-type heterogeneity in adipose tissue, identifies cell-specific eQTLs, and shows how cell composition affects genetic associations with complex traits.

This study finds that genetically or therapeutically lowering sclerostin increases cardiovascular risk, based on genetic variant analysis and clinical trial data.

A GWAS of erectile dysfunction identifies a new locus at 6q16.3, implicating hypothalamic neurobiology and diabetes in its etiology.

This study identifies smoking-associated DNA methylation and gene expression changes in adipose tissue and links some to cardio-metabolic health outcomes.

Meta-analysis of waist-to-hip ratio adjusted for BMI in 694,649 European-ancestry individuals identifies 463 signals in 346 loci, roughly one-third sexually dimorphic and mostly stronger in women.

This study identifies rare variant associations with fat distribution and cardio-metabolic risk, implicating intracellular lipolysis genes in these traits.