Summary statistics for a genome-wide association study (GWAS) of Alzheimer's disease CSF biomarkers principal components (PCs). This dataset accompanies the publication "Multivariate GWAS of Alzheimer’s disease CSF biomarker profiles implies GRIN2D in synaptic functioning". The article is currently in press at Genome Medicine. A link will be provided upon publication, but see the medRxiv preprint in the meantime: Neumann, A., Ohlei, O., Küçükali, F., Bos, I. J., Vos, S., Prokopenko, D., ... & Kristel Sleegers & Lars Bertram. (2022). Multivariate GWAS of Alzheimer’s disease CSF biomarker profiles implies GRIN2D in synaptic functioning. medRxiv, 2022-08. https://doi.org/10.1101/2022.08.02.22278185 A GWAS was performed for five different PC biomarkers. PC1: Tau pathology/degeneration PC2: Aβ Pathology PC3: Injury/inflammation PC4: Non-AD inflammation PC5: Non-AD synaptic functioning Each GWAS was performed in either males and females ("all"), in females only ("female"), or in males only ("male"). In addition, we also ran an interaction model with sex as moderator ("interaction"). Each file includes output of the meta-analysis between the EMIF-AD study and ADNI. The files contain following columns: CHROM: Chromosome POS: Position according to Build 37 ID: Chromosome:Position A1: Effect allele A2: Other allele BETA: Effect of one copy of the effect allele on biomarker PCs in SD. In case of sex interaction, the effect specific to females. SE: Standard Error P: p-value D: Direction in ADNI and EMIF-AD respectively Het: Heterogeneity statistics (I2, and corresponding χ2, degrees of freedom and p-value
