神经提升器阵列:一个全基因组基因型化平台,用于在不同人群中研究神经系统疾病
Sara Bandres-Ciga1, Faraz Faghri1,2, Elisa Majounie3
1Center for Alzheimer's and Related Dementias (CARD), National Institute on Aging and National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA.
medRxiv : the preprint server for health sciences
|November 21, 2023
概括
新的Illumina NeuroBooster阵列 (NBA) 增强了神经疾病的遗传研究,提高了多样性和全球研究包容性. 这种具有成本效益的平台可以在不同人群中检测成千上万种神经特异变体.
科学领域:
- 遗传学 是一个遗传学.
- 神经科学是一个神经科学.
- 基因组学就是基因组学.
背景情况:
- 神经系统疾病的遗传研究往往缺乏多样化的人口代表性.
- 全球帕金森氏症遗传学计划 (GP2) 和阿尔茨海默氏症和相关痴呆症中心 (CARD) 旨在增加遗传研究的多样性.
- 现有的基因型识别平台在捕捉特定种群的遗传多样性方面存在局限性.
研究的目的:
- 介绍Illumina NeuroBooster阵列 (NBA),这是一个全基因组的新型基因型平台.
- 加强对神经系统疾病的研究,包括帕金森病和阿尔茨海默病,在全球多样化的人口中.
- 通过具有成本效益和高通量定制阵列来支持包容性和大规模的遗传研究.
主要方法:
- 开发了一种定制的基因型阵列 (NBA),结合了1,914,934个变体的骨干 (Infinium全球多样性阵列) 与95,273个定制的神经特异变体.
- 包括超过10,000个标记变体,以帮助归算与神经退行性疾病相关的GWAS位点.
- 验证了NBA识别低频变异的能力,并使用TOPMed推算服务器计算出超过1500万种常见变异.
主要成果:
- NBA成功地结合了广泛的神经特异性遗传内容.
- 该阵列有助于在70多种神经疾病中选基因变异.
- 在不同的人群中准确地归纳数百万个常见变异,这是可以实现的NBA.
结论:
- 该Illumina NeuroBooster阵列 (NBA) 是一个强大的,具有成本效益的工具,用于推进神经疾病的遗传研究.
- 在全球范围内,NBA通过在各种祖先群体进行标准化遗传研究来促进包容性.
- 该平台有望加速发现导致帕金森病和阿尔茨海默病等疾病的遗传因素.
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