Basic Science and Pathogenesis

BACKGROUND: Alzheimer's disease (AD) is a heterogenous disease with a strong heritability. Genetic studies are of irreplaceable value in elucidating the mechanisms that underly this disease. The classical genome-wide association studies (GWAS) rely on ever-increasing sample sizes and utilize clinical AD diagnosis to investigate genetic risk. Here, we aim to eliminate phenotypic heterogeneity by performing GWAS on a deeply phenotyped neuropathological cohort. METHOD: Phenotypic data regarding hallmark and co-morbid AD lesions was collected on 721 individuals. DNA was extracted from frozen or paraffin-fixed cerebellar tissue. Subsequently, genetic data was generated using low-coverage whole-genome sequencing (lcWGS) followed by imputation based on 1000 Genomes Project reference panel using GLIMPSE. Linear or logistic regression was performed in PLINK correcting for age, gender and the first 3 PCs for every phenotype. Investigated phenotypes include but are not limited to: Amyloid phases, Braak-NFT stage, cerebral amyloid angiopathy (CAA) severity and type, pTDP presence in CA1 and dentate gyrus, alpha-synuclein spread/presence, age-related tau-astrogliopathy (ARTAG) and Hirano bodies. RESULT: We discovered genome-wide significant hits for well-established AD lesions such as tau tangles, amyloid plaques and CAA. Furthermore, significant hits for co-morbid lesions like alpha-synuclein stages, granulovacuolar degeneration and Hirano bodies (extracellular actin aggregates in the CA1) were found. Suggestive associations were discovered for pTDP and ARTAG. Associated loci included proof-of-concept findings such as strong relations between amyloid and CAA with APOE SNPs, but also included several loci that have not been previously linked to the specific phenotype or AD in general. CONCLUSION: Implementing phenotypic information on neuropathological lesions in a hypothesis-free genome-wide investigation as a preliminary screening rendered genome-wide significant and suggestive loci which can contribute to a deeper understanding of the individual lesions observed in AD. From our preliminary results we observe the benefits of accurate phenotyping on GWAS power. Despite small sample size, we managed to detect genome-wide significant associations for AD-related lesions by eliminating phenotypic heterogeneity. Associated loci will be subjected to gene prioritization and functional validation analysis to determine the causal risk genes. For more commonly investigated hall