Literature DB >> 27586004

Non-parametric Survival Analysis of EPG5 Gene with Age at Onset of Alzheimer's Disease.

Ke-Sheng Wang1, Xuefeng Liu2, Changchun Xie3, Ying Liu4, Chun Xu5.   

Abstract

Non-parametric methods such as Wilcoxon test have the advantages of no assumptions for the underlying survival distributions. Alzheimer's disease (AD) is a chronic neurodegenerative disease while the ectopic P-granules autophagy protein 5 homolog (EPG5 gene) is highly expressed in human brain and may implicate in the pathogenesis of neurodegenerative disorders. The present study explored the associations of 26 single-nucleotide polymorphisms (SNPs) in the EPG5 gene with the age at onset (AAO) of AD using a family-based association test (FBAT)-Wilcoxon statistic in a family-based study. Then a replication study using a case-control sample was conducted to perform Wilcoxon test in Kaplan-Meier survival analysis of AAO. The results from FBAT-generalized estimating equations (FBAT-GEE) statistics and FBAT-Wilcoxon test showed that seven SNPs (top SNP rs495078 with p = 1.29 × 10-3) were significantly associated with the risk of AD, and eight SNPs (top SNP rs11082498 with p = 3.55 × 10-4) were associated with the AAO of AD in the family-based study (p < 0.05). In the replicated data, three SNPs were associated with AAO by using the Wilcoxon test, where the mean AAO was approximately 2.2 years earlier in individuals who had at least one minor allele of the top AAO-associated SNP rs9963463 (p = 0.0018) compared with those who were homozygous for the major allele. These findings from non-parametric survival analyses provide evidence for several genetic variants in EPG5 influencing the AAO of AD and will serve as a resource for replication in other populations.

Entities:  

Keywords:  Age at onset; Alzheimer disease; EPG5; Non-parametric methods; Survival analysis; Wilcoxon test

Mesh:

Substances:

Year:  2016        PMID: 27586004     DOI: 10.1007/s12031-016-0821-9

Source DB:  PubMed          Journal:  J Mol Neurosci        ISSN: 0895-8696            Impact factor:   3.444


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