Nigel J. Cairns

The paper identifies two dimethoxyphenyl piperazine analogs that inhibit alpha-synuclein fibril growth in vitro and from Lewy Body Disease brain tissue.

This study identifies novel Alzheimer's disease risk loci by analyzing multi-ancestry GWAS data from diverse populations, highlighting the importance of including underrepresented groups in genetic research.

This study identifies blood-based biomarkers associated with Alzheimer's disease genetic risk variants in a large cohort of healthy adults, showing effects from early adulthood and sex-specific patterns.

This study identifies JADE1 as a novel genetic factor in tauopathy through genome-wide association and functional validation in human and Drosophila models.

The paper uses GWAS, PRS, and MR to show a genetic link between Parkinson's disease and CSF Aβ42 and APOE locus.

This paper identifies five new genetic risk loci for Lewy body dementia through whole-genome sequencing and shows shared risk profiles with Alzheimer’s and Parkinson’s disease.

This study uses an epidemic spreading model to show that tau spreads through neuronal connections in Alzheimer's disease, with beta-amyloid accelerating this process in some brain regions.

This study compares whole hippocampus and subfield biomarkers for Alzheimer’s disease detection and prediction using multimodal MRI data, finding subiculum biomarkers improve prediction accuracy.

This study estimates the heritability of dementia with Lewy bodies (DLB) and finds it to be higher than previous estimates, with low variance explained by polygenic risk scores from Parkinson's or Alzheimer's disease.

The paper investigates whether amyloid-beta plaques sequester toxic soluble Aβ aggregates in Alzheimer disease dementia, finding no significant difference in Aβ binding between dementia and high-pathology control groups.

The paper examines the heritability of regional brain volumes using genetic and neuroimaging data from multiple cohorts, finding high heritability and consistent patterns across populations.

This study identifies how genetic risk variants for Alzheimer's disease affect cerebral cortex cell-type proportions in bulk RNA-seq data using digital deconvolution.