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{"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 A\u03b2, tau, immunity and lipid processing. Nature Genetics 51:414\u2013430 (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"]}
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.
Alzheimer's disease, GWAS, GWAX
Alzheimer's disease, GWAS, GWAX
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 1 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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