Published November 6, 2019
| Version v1
Dataset
Open
Alzheimer's disease meta-analysis of Kunkle et al GWAS and UK Biobank GWAX
Description
This dataset comprises summary statistics from a meta-analysis of: (1) GWAS for family history of Alzheimer’s disease (GWAX) using the UK Biobank, and (2) the Kunkle et al. (2019) GWAS of diagnosed Alzheimer’s disease. Further analyses of these data are described in an upcoming publication.
Files
AD_GWAX_Methods.pdf
Files
(4.0 GB)
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Additional details
References
- Liu, J.Z. et al. Case-control association mapping by proxy using family history of disease. Nature Genetics 49:325-331 (2017)
- Kunkle, B. et al. Genetic meta-analysis of diagnosed Alzheimer's disease identifies new risk loci and implicates Aβ, tau, immunity and lipid processing. Nature Genetics 51:414–430 (2019)
- Bycroft, C. et al. The UK Biobank resource with deep phenotyping and genomic data. Nature 256:203-209 (2018)
- Pirinen, M. et al. Efficient computation with a linear mixed model on large-scale data sets with applications to genetic studies. The Annals of Applied Statistics 7:369-390