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晚发性阿尔茨海默病 (LOAD) 的遗传性在不同人群中存在显著差异. 遗传和环境因素有助于这些差异,突出了在LOAD研究中需要进行多样化的人口研究的需要.

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科学领域:

  • 遗传学 遗传学 是一个
  • 神经科学是一个神经科学.
  • 人口健康 人口健康

背景情况:

  • 晚发性阿尔茨海默病 (LOAD) 具有很高的遗传性,估计在欧洲人口中高达80%.
  • 之前的研究还没有充分探索不同人群中LOAD遗传性的范围.
  • 诸如APOE,种族/种族和队列效应等因素对LOAD遗传性的影响尚不清楚.

研究的目的:

  • 为了估计LOAD在不同种族和种族群体的家族遗传性.
  • 调查APOE ε4载体状态和队列效应对遗传概率估计的影响.
  • 为了比较从不同的统计方法 (S.A.G.E.E.) 获得的遗传概率估计. 和太阳能).

主要方法:

  • 利用了阿尔茨海默氏病测序项目 (ADSP) 的血统和来自五个种族/族群的全基因组数据.
  • 使用SAGE计算基于家族的遗传性. 和SOLAR,根据年龄,性别,APOE ε4状态和队列进行调整.
  • 分析了非西班牙裔白人,非西班牙裔黑人,多米尼加,波多黎各和荷兰孤立群体的数据.

主要成果:

  • 对LOAD的遗传概率估计显示,在不同种群中,无论使用哪种方法或调整,都存在显著的变化.
  • 估计在荷兰孤立群体 (78.3%) 中最高,在使用SAGE的非西班牙裔白人 (29.1%) 中最低. (第1模型).
  • APOE ε4载体状态和队列调整对遗传性估计的影响很小,SOLAR通常比SAGE产生更高的估计.

结论:

  • 遗传性估计的广泛范围强调了人口特异性遗传和未测量的环境因素在LOAD中的重要性.
  • 这些发现补充了基于双胞胎和全基因组的研究,强调了对多样化的队列的需求.
  • 目前正在进行的研究旨在将基于SNP的遗传与基于家庭的估计进行比较,以获得全面的理解.