Genetics in multiple sclerosis: Updates in the era of big data
Genetics in multiple sclerosis: Updates in the era of big data
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DOI：
10.1111/cen3.12443
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发表时间：
2018-02
影响因子：
--
通讯作者：
N. Isobe
中科院分区：
文献类型：
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作者：
N. Isobe
多发性硬化症是一种复杂的疾病，遗传和环境因素在其易感性中起着关键作用。遗传学的贡献已被家系研究证实，但仍存在缺失遗传力的问题。大数据科学一直是包括多发性硬化症遗传学在内的研究中的一种新方法，已经为不同领域的研究人员开发了多种处理这些大数据的工具：从具有用户友好的图形用户界面的工具，到具有文本用户界面的更专业的工具。在这个大数据时代，重要的是加快与生物信息学家、统计学家、遗传学家和计算生物学家等不同专业的研究人员的合作研究。
Multiple sclerosis is a complex disease where both genetics and environmental factors play critical roles in its susceptibility. The contribution of genetics has been proven by familial studies, but there still exists missing heritability. Big data science has been a novel approach in research, including multiple sclerosis genetics, and multiple tools to handle those big data have been developed for researchers in different fields: from tools with a user‐friendly graphical user interface to more professional tools with a text user interface. In this era of big data, it is important to accelerate collaborative studies with researchers of distinct professions, such as bioinformaticians, statisticians, geneticists and computational biologists.