Genetic Ancestry and Accumulation of BIN1 Gene Risk Alleles Associated to Alzheimer’s Disease in Latin American Populations

Pub Date : 2024-06-04 DOI:10.3103/s0095452724030083
Alejandro Levi-Monsalve, Sergio V. Flores
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Abstract

BIN1 gene is the second highest associated locus to Alzheimer’s disease (AD). Association between genetic ancestry and susceptibility to AD have been found for APOE, the principal genetic risk factor for AD. However, there is a lack of studies on this relationship for BIN1, which is the aim of this work, focused in four Latin American populations. The individual proportions of genetic ancestry were estimated by using a SNP panel previously proposed and optimized for Latin American populations. Three models were set: a risk allele dominant model, a non-risk allele dominant model and a codominant model. The Poisson regression analysis was applied to the risk allele accumulation and logistic regresìsion to a SNP by SNP model. The Poisson regression models tests showed that the accumulation of risk alleles was associated to ancestry as follow: an increasing risk effect for African in both codominance and dominant models, and a protective effect for Native-American for the risk allele dominant model. In the logistic regression analyses, association to individual genetic ancestry proportions for both models was found for rs17014923 and rs6743470, with negative association for Native American ancestry and positive for African and European. rs744373, showed an opposite pattern: positive association for Native-American ancestry and negative for European. Finally, positive association for African ancestry in Peruvian population at rs17014923. These results suggest an overall protective effect for Native-American ancestry and a risk effect for African ancestry in the Latin American sample, even if some particular SNPs shows an opposite pattern.

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拉丁美洲人群中与阿尔茨海默病相关的 BIN1 基因风险等位基因的遗传和累积情况
BIN1 基因是阿尔茨海默病(AD)的第二大相关基因位点。APOE是阿兹海默症的主要遗传风险因素,已发现遗传血统与阿兹海默症易感性之间存在关联。然而,对 BIN1 的这种关系却缺乏研究,而这正是本研究的目的所在,研究主要集中在四个拉丁美洲人群中。通过使用先前提出并针对拉丁美洲人群进行优化的 SNP 面板,估算了遗传祖先的个体比例。设定了三个模型:风险等位基因显性模型、非风险等位基因显性模型和共显模型。泊松回归分析适用于风险等位基因累积,逻辑回归分析适用于逐个 SNP 模型。泊松回归模型测试表明,风险等位基因的累积与血统有关:在共显性和显性模型中,非洲人的风险效应增加,而在风险等位基因显性模型中,美国本土人具有保护效应。在逻辑回归分析中,发现 rs17014923 和 rs6743470 在两个模型中都与个人遗传血统比例有关,其中美国本土血统与之呈负相关,非洲和欧洲血统与之呈正相关。最后,在秘鲁人群中,rs17014923 与非洲血统呈正相关。这些结果表明,在拉丁美洲样本中,美国本土血统具有整体保护作用,而非洲血统具有风险作用,即使某些特定的 SNPs 显示出相反的模式。
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