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. 2016 Jun 29;17 Suppl 3(Suppl 3):438.
doi: 10.1186/s12864-016-2786-z.

Presenilin E318G variant and Alzheimer's disease risk: the Cache County study

Ariel A Hippen  1 , Mark T W Ebbert  1 , Maria C Norton  2 , JoAnn T Tschanz  2 , Ronald G Munger  3 , Christopher D Corcoran  4 , John S K Kauwe  5
Affiliations

Presenilin E318G variant and Alzheimer's disease risk: the Cache County study

Ariel A Hippen et al. BMC Genomics. .

Abstract

Background: Alzheimer's disease is the leading cause of dementia in the elderly and the third most common cause of death in the United States. A vast number of genes regulate Alzheimer's disease, including Presenilin 1 (PSEN1). Multiple studies have attempted to locate novel variants in the PSEN1 gene that affect Alzheimer's disease status. A recent study suggested that one of these variants, PSEN1 E318G (rs17125721), significantly affects Alzheimer's disease status in a large case-control dataset, particularly in connection with the APOEε4 allele.

Methods: Our study looks at the same variant in the Cache County Study on Memory and Aging, a large population-based dataset. We tested for association between E318G genotype and Alzheimer's disease status by running a series of Fisher's exact tests. We also performed logistic regression to test for an additive effect of E318G genotype on Alzheimer's disease status and for the existence of an interaction between E318G and APOEε4.

Results: In our Fisher's exact test, it appeared that APOEε4 carriers with an E318G allele have slightly higher risk for AD than those without the allele (3.3 vs. 3.8); however, the 95 % confidence intervals of those estimates overlapped completely, indicating non-significance. Our logistic regression model found a positive but non-significant main effect for E318G (p = 0.895). The interaction term between E318G and APOEε4 was also non-significant (p = 0.689).

Conclusions: Our findings do not provide significant support for E318G as a risk factor for AD in APOEε4 carriers. Our calculations indicated that the overall sample used in the logistic regression models was adequately powered to detect the sort of effect sizes observed previously. However, the power analyses of our Fisher's exact tests indicate that our partitioned data was underpowered, particularly in regards to the low number of E318G carriers, both AD cases and controls, in the Cache county dataset. Thus, the differences in types of datasets used may help to explain the difference in effect magnitudes seen. Analyses in additional case-control datasets will be required to understand fully the effect of E318G on Alzheimer's disease status.

Keywords: Alzheimer’s disease; Epistasis; Presenilin; Rare variants.

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