Sudha S. Seshadri

The paper investigates neuropsychiatric effects of neurodevelopmental copy number variants (ND-CNVs) in the All of Us biobank, finding distributed, pleiotropic risk across multiple domains.

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.

The paper identifies genes associated with obesity risk loci by integrating genetic and transcriptomic data from blood and brain tissues.

This study identifies CSF fatty acid profiles as better predictors of cognitive decline than traditional biomarkers like Aβ42 and tau, suggesting early metabolic changes in dementia.

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

ERICH-GENE collects and analyzes genomic and neuroimaging data from over 10,000 multi-ethnic ICH cases to identify genetic risk factors and trans-ethnic variation in ICH.

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 addresses dementia classification bias across ethnic groups using few-shot learning and domain alignment, reducing performance gaps between White American and Hispanic cohorts.

The paper investigates the association of common and rare variants with Alzheimer's Disease in 13,371 diverse individuals using whole-genome sequencing, identifying significant genetic loci and population-specific associations.

This paper presents a multi-omics dataset from multi-ethnic Alzheimer's disease brain donors, including transcriptome, genome, and proteome data, to improve precision medicine for underrepresented populations.

The paper identifies a specific APOE transcript and functional SNP associated with Alzheimer's disease using integrated genomic data from human postmortem brains.

This study shows that Klotho knockout affects brain microRNAs and tRNA fragments linked to aging and Alzheimer's disease in both mice and humans.

The paper validates a non-PFAS, proton-free solvent for ex vivo MRI scanning as a potential replacement for fluorinated solvents.

This study uses whole genome sequence data from the ADSP to identify 17 significant variants in five genomic regions associated with Alzheimer's disease.

This study identifies three novel genetic loci associated with brain arterial diameters through a genome-wide association analysis across diverse populations.

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.

The paper identifies high-priority missense variants in SORL1 associated with increased Alzheimer's Disease risk and earlier onset, suggesting clinical counseling considerations for carriers.

The paper identifies sex-specific changes in cholinergic-targeting tRNA fragments in Alzheimer's disease, linking them to cholinergic neuron loss and dementia.

The paper identifies rare damaging variants in ATP8B4 and ABCA1 as novel risk factors for Alzheimer's Disease using exome sequencing data from 32,558 individuals.

This paper presents a strategy to jointly analyze 20,504 whole-exome sequencing samples from nine studies, generating high-quality variant calls and addressing batch effects from different capture kits.

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 resilience factors for Alzheimer's disease by constructing polygenic resilience scores that reduce genetic risk penetrance and correlate with polygenic risk scores in unaffected individuals.

The paper identifies differentially expressed mRNAs and microRNAs in human brain tissues associated with obesity and BMI using RNA sequencing from multiple cohorts.

This paper reports six novel genetic variants associated with Alzheimer's disease risk and demonstrates the utility of polygenic risk scores for risk stratification and age at onset prediction.