Hieab H.H. Adams

This paper uses genetic data to investigate the causal relationships between vascular traits like white matter hyperintensity, blood pressure, and stroke with dementia and Alzheimer's disease risk.

This study identifies 59 genome-wide significant loci for skull bone mineral density, including four novel loci, and links them to osteoporosis and craniofacial developmental defects.

This study investigates the genetic and environmental factors influencing head motion during MRI, finding no significant single variants and no mediation by physiological or psychological factors.

This study investigates the neural correlates of orbital telorism in the general population, finding associations with grey matter density and cognitive functions.

GenNet predicts phenotypes from genetic variants using interpretable deep learning, identifying genes and pathways associated with traits like hair color and schizophrenia.

The paper maps cognitive performance to brain structure using voxel-based morphometry and subcortical shape analysis in a large population sample.

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.

The paper identifies genetic correlations between ADHD and brain volumes, finding negative associations with intracranial volume and specific brain regions.

This study investigates the heritability and genetic variants associated with lung diffusing capacity, finding a significant association with a variant in the GPR126 gene.

This study identifies over 50 new genetic loci associated with pulmonary function through a multiethnic meta-analysis of 90,715 individuals.

This study performs a large GWAS of Alzheimer's disease, identifies four new risk loci, and highlights pathways involving immunity, lipid metabolism, and APP/Aβ processing.

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

This study identifies a haplotype lowering PU.1 expression in myeloid cells that delays Alzheimer’s disease onset by affecting gene expression and function.

This paper introduces a meta-analytical method that achieves IPD-level results using only aggregate data, enabling robust analysis when individual participant data cannot be shared.