Claudia Liliana Satizábal

The paper identifies plasma proteins associated with diffusion tensor imaging biomarkers of white matter injury and suggests potential causal relationships using Mendelian randomization.

The paper integrates GWAS meta-analysis with human brain cell mapping to identify genetic loci and cell types involved in tinnitus, implicating the amygdala and midbrain.

This study examines oral and gut microbiome differences in Hispanic individuals with and without cognitive impairment, finding oral microbiome changes but no synergistic effects with gut microbiomes in ADRD.

This study shows that gut microbiota mediates the effect of APOE ε4 genotype on amyloid-β accumulation in middle-aged adults.

This study shows that better adherence to LE8 metrics improves gut microbiota diversity and cognitive performance in the Framingham Heart Study participants.

This study uses whole-genome sequence data from diverse participants to identify novel genetic loci associated with brain structural volumes, highlighting the importance of diverse cohorts in uncovering genetic architecture.

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 investigates the relationship between gut microbiota and cerebral small vessel disease markers in the Framingham Heart Study, finding associations between specific bacterial genera and cSVD burden.

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 performs a meta-analysis of GWAS to identify new genetic loci associated with all-cause and vascular dementia, revealing shared and distinct risk factors.

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