Population-based Analysis of Alzheimer's Disease Risk Alleles Implicates Genetic Interactions

被引:43
作者
Ebbert, Mark T. W. [1 ,2 ]
Ridge, Perry G. [1 ,2 ]
Wilson, Andrew R. [2 ]
Sharp, Aaron R. [1 ]
Bailey, Matthew [1 ]
Norton, Maria C. [3 ,7 ]
Tschanz, Joann T. [4 ,7 ]
Munger, Ronald G. [5 ,7 ]
Corcoran, Christopher D. [6 ,7 ]
Kauwe, John S. K. [1 ]
机构
[1] Brigham Young Univ, Dept Biol, Provo, UT 84602 USA
[2] Utah State Univ, ARUP Inst Clin & Expt Pathol, Logan, UT 84322 USA
[3] Utah State Univ, Dept Family Consumer & Human Dev, Logan, UT 84322 USA
[4] Utah State Univ, Dept Psychol, Logan, UT 84322 USA
[5] Utah State Univ, Dept Nutr Dietet & Food Sci, Logan, UT 84322 USA
[6] Utah State Univ, Dept Math & Stat, Logan, UT 84322 USA
[7] Utah State Univ, Ctr Epidemiol Studies, Logan, UT 84322 USA
基金
美国国家卫生研究院;
关键词
Alzheimer's disease; epistasis; genetic interactions; population attributable fraction; odds ratio; risk; GENOME-WIDE ASSOCIATION; APOLIPOPROTEIN-E; AFRICAN-AMERICANS; UTAH MORMONS; IDENTIFIES VARIANTS; COMMON VARIANTS; TYPE-4; ALLELE; CACHE COUNTY; EPISTASIS; ISONYMY;
D O I
10.1016/j.biopsych.2013.07.008
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
Background: Reported odds ratios and population attributable fractions (PAF) for late-onset Alzheimer's disease (LOAD) risk loci (BIN1, ABCA7, CR1, MS4A4E, CD2AP, PICALM, MS4A6A, CD33, and CLU) come from clinically ascertained samples. Little is known about the combined PAF for these LOAD risk alleles and the utility of these combined markers for case-control prediction. Here we evaluate these loci in a large population-based sample to estimate PAF and explore the effects of additive and nonadditive interactions on LOAD status prediction performance. Methods: 2419 samples from the Cache County Memory Study were genotyped for APOE and nine LOAD risk loci from AlzGene.org. We used logistic regression and receiver operator characteristic analysis to assess the LOAD status prediction performance of these loci using additive and nonadditive models and compared odds ratios and PAFs between AlzGene.org and Cache County. Results: Odds ratios were comparable between Cache County and AlzGene.org when identical single nucleotide polymorphisms were genotyped. PAFs from AlzGene.org ranged from 2.25% to 37%; those from Cache County ranged from .05% to 20%. Including non-APOE alleles significantly improved LOAD status prediction performance (area under the curve = .80) over APOE alone (area under the curve =.78) when not constrained to an additive relationship (p < .03). We identified potential allelic interactions (p values uncorrected): CD33-MS4A4E (synergy factor = 5.31; p < .003) and CLU-MS4A4E (synergy factor = 3.81; p < .016). Conclusions: Although nonadditive interactions between loci significantly improve diagnostic ability, the improvement does not reach the desired sensitivity or specificity for clinical use. Nevertheless, these results suggest that understanding gene-gene interactions may be important in resolving Alzheimer's disease etiology.
引用
收藏
页码:732 / 737
页数:6
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