Michelle Luciano A

This study conducts a GWAS meta-analysis of stuttering, identifying genetic links with speech disorders and highlighting shared genetic architecture across different ascertainment methods.

The paper shows that general cognitive function is supported by a widespread white matter network across multiple brain regions and connectivity measures.

This study conducts an epigenome-wide association study (EWAS) meta-analysis of wellbeing using DNA methylation data, finding no significant methylation sites but suggesting the need for larger studies.

This study identifies distinct frailty domains with varying causal relationships to Alzheimer's disease using genetic methods.

This study uses a multivariate GWAS approach to identify genetic loci associated with reading ability and dyslexia, finding 35 new genome-wide significant loci and estimating SNP heritability at 24%.

This paper evaluates methods to estimate lifetime brain atrophy from a single MRI scan and identifies genetic correlates, finding that the residual method best captures brain shrinkage and has strong heritability.

This study identifies 1,257 genetic variants associated with human personality traits using large-scale GWAS and finds widespread genetic correlations with behaviors and life outcomes.

This study uses GenomicSEM to analyze diverse executive function GWAS, identifying 29 new EF genes by combining GWAS with non-ideal measures.

The paper identifies brain regions most related to general cognitive function and links them to neurobiological properties using meta-analysis and multimodal cortical maps.

This study investigates the shared genetic architecture between rhythm and dyslexia using large-scale genome-wide association studies.

The paper investigates the interaction between polygenic risk scores for Alzheimer's dementia and polypharmacy in predicting future dementia risk in an elderly Scottish cohort.

The paper conducts GWAS on brain volumes, identifies genetic loci, and develops polygenic scores with cross-ancestry predictive ability and causal links to neuropsychiatric disorders.

This paper uses multi-polygenic scores to predict frailty and its trajectories, identifying chronic pain, rheumatoid arthritis, and educational attainment as key pathways.

This study identifies 67 genetic loci associated with head size, finding strong overlaps with cancer pathways and genes, suggesting shared genetic mechanisms between head growth and cancer risk.

The paper identifies general and specific patterns of cortical gene expression related to cognitive functioning using principal component analysis and validates them across datasets.

This study validates a polygenic risk score for frailty using two independent cohorts, showing it predicts frailty at early ages with moderate variance explained.

This study identifies 48 genetic variants associated with handedness using a large GWAS, highlighting polygenic nature and genetic links to neuropsychiatric traits.

The paper identifies genetic loci associated with human cortical structure and finds genetic correlations with neuropsychiatric disorders.

The paper reports epigenome-wide meta-analyses of blood DNA methylation with subcortical brain volumes, identifying significant associations with hippocampal volume and potential biological mechanisms.

This study identifies genetic loci specific to periventricular and deep white matter hyperintensities, revealing distinct genetic architectures and potential biological mechanisms.

The paper identifies 161 genome-wide significant genetic associations for cortical structure traits across 34 brain regions, highlighting key biological pathways and gene functions.

The paper identifies genetic associations with cortical surface area using PCA and GWAS, linking DAAM1 to visual cortex development through mitochondrial pathways and thalamocortical input.

This study identifies X chromosome variants associated with neuroticism using UK Biobank data, finding 204 significant markers and estimating X-variant heritability at 0.34%.

This study uses GWAS data to decompose the genetic basis of depression and neuroticism, finding shared and unique genetic factors associated with different traits.

This study identifies 99 genetic loci associated with general cognitive function using data from 280,360 individuals, finding genes linked to brain structure and neurodegenerative disorders.

The paper uses family data to estimate genetic effects on intelligence and personality, finding that rare variants explain more variance than previously reported using unrelated individuals.

The paper identifies 116 independent genetic variants associated with neuroticism in over 329,000 UK Biobank participants and finds genetic correlations with mental health traits.

The paper identifies 25 genetic loci associated with subcortical brain structure volumes in over 40,000 individuals, revealing novel biology and potential drug targets.