Manuela Costantino

This paper introduces REGENA, a method to disentangle gene-environment interaction mechanisms, finding that half of significant GxE signals are scale-dependent and effect heterogeneity drives most remaining GxE heritability.

This paper introduces PGSC, a polygenic score framework that incorporates locus-specific gene-context interactions, showing improved prediction across multiple traits and ancestries.

SIQReg optimizes phenotype scales in genetic analyses, improving both additive and non-additive signal detection in large biobanks.

The paper shows that phenotype scale choice affects GxE signals in biobank data, with log scaling revealing meaningful effects and explaining a significant portion of PGSxSex interactions.

The paper introduces dGAMLSS, a distributed algorithm for fitting GAMLSS models to construct population reference charts without sharing patient data.

This study identifies two ASD subgroups with distinct brain morphology using cross-cultural datasets, highlighting key brain regions associated with subgroup characteristics and autistic traits.

This study assesses white matter hyperintensity severity using multimodal MRI in Alzheimer's Disease by analyzing signal measures from different MRI contrasts and their associations with clinical variables.

This paper examines how parcellation methods and sample size affect canonical correlation analysis results in neuroimaging studies using UK Biobank data.

This study examines the relationship between menopause status, type, and age at menopause with cognition, Alzheimer's Disease, and brain anatomy using UK Biobank data, finding no direct brain impact but a positive correlation between non-surgical menopause age and cognition, and confirming increased AD risk with early or surgical menopause.

The paper maps interspecies differences in subcortical anatomy between humans and chimpanzees, linking heritability, morphology, and behavioral correlates.

The paper introduces brain charts as a standardized resource for benchmarking brain morphology across the human lifespan using MRI data from a large and diverse cohort.

The paper examines how lifestyle and reproductive factors interact with cortical thickness in healthy adults, finding sex-specific patterns linked to brain ageing.