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评估与疾病相关的染色体区域解释的阿尔茨海默病的遗传方差。

Evaluation of the Genetic Variance of Alzheimer's Disease Explained by the Disease-Associated Chromosomal Regions.

机构信息

Biodemography of Aging Research Unit, Social Science Research Institute, Duke University, Durham, NC, USA.

出版信息

J Alzheimers Dis. 2019;70(3):907-915. doi: 10.3233/JAD-190168.

Abstract

Heritability analysis of complex traits/diseases is commonly performed to obtain illustrative information about the potential contribution of the genetic factors to their phenotypic variances. In this study, we investigated the narrow-sense heritability (h2) of Alzheimer's disease (AD) using genome-wide single-nucleotide polymorphisms (SNPs) data from three independent studies in the linear mixed models framework. Our meta-analyses demonstrated that the estimated h2 values (and their standard errors) of AD in liability scale were 0.280 (0.091), 0.348 (0.113), and 0.389 (0.126) assuming AD prevalence rates of 10%, 20%, or 30% at ages of 65+, 75+, and 85+ years, respectively. We also found that chromosomal regions containing two or more AD-associated SNPs at p < 5E-08 could collectively explain 37% of the additive genetic variance of AD in our samples. AD-associated regions in which at least one SNP had attained p < 5E-08 explained 56% of the additive genetic variance of AD. These regions harbored 3% and 11% of SNPs in our analyses. Also, the chromosomal regions containing two or more and one or more AD-associated SNPs at p < 5E-06 accounted for 72% and 94% of the additive genetic variance of AD, respectively. These regions harbored 27% and 44% of SNPs in our analyses. Our findings showed that the overall contribution of the additive genetic effects to the AD liability was moderate and age-dependent. Also, they supported the importance of focusing on known AD-associated chromosomal regions to investigate the genetic basis of AD, e.g., through haplotype analysis, analysis of heterogeneity, and functional studies.

摘要

采用线性混合模型框架,基于来自三项独立研究的全基因组单核苷酸多态性(SNP)数据,我们对阿尔茨海默病(AD)的狭义遗传率(h2)进行了研究。我们的荟萃分析结果表明,65 岁及以上人群中 AD 的估计患病比例为 10%、20%或 30%,75 岁及以上人群中 AD 的患病比例为 10%、20%或 30%,85 岁及以上人群中 AD 的患病比例为 10%、20%或 30%,在患病尺度下 AD 的 h2 值(及其标准误差)分别为 0.280(0.091)、0.348(0.113)和 0.389(0.126)。我们还发现,在假定的 AD 患病率为 65+、75+和 85+岁时,染色体区域中包含两个或更多与 AD 相关的 SNP(p 值均小于 5E-08),这些 SNP 可以共同解释我们样本中 AD 加性遗传变异的 37%。至少有一个 SNP 达到 p 值小于 5E-08 的 AD 相关区域可以解释 AD 加性遗传变异的 56%。这些区域在我们的分析中包含 3%和 11%的 SNP。此外,在假定的 AD 患病率为 65+、75+和 85+岁时,包含两个或更多和一个或更多与 AD 相关的 SNP(p 值均小于 5E-06)的染色体区域分别解释了 AD 加性遗传变异的 72%和 94%。这些区域在我们的分析中包含 27%和 44%的 SNP。我们的研究结果表明,加性遗传效应对 AD 易感性的总体贡献是中度且依赖年龄的。此外,这些结果支持了关注已知的与 AD 相关的染色体区域以研究 AD 的遗传基础的重要性,例如通过单体型分析、异质性分析和功能研究。

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