Human Population Genetics in Aging Studies for Molecular Biologists.
Human Population Genetics in Aging Studies for Molecular Biologists.
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分子生物学家衰老研究中的人类群体遗传学。
DOI：
10.1007/978-1-0716-0592-9_6
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发表时间：
2020
期刊：
影响因子：
--
通讯作者：
Arpawong,TEm
中科院分区：
文献类型：
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作者：
Miller,Brendan;Haghani,Amin;Ailshire,Jennifer;Arpawong,TEm
在人群中测试假设，然后将这些发现转化为实验范式来测试因果关系，可以加快许多与衰老有关的疾病的治疗发现速度。近年来，由于数据可用性的爆炸和丰富的生物信息学资源，工具和方法的共同努力，以尽量减少与其使用相关的障碍，人类基因组数据的整合已变得更加容易获得分子生物学家。有一些特定的技能可以促进人类数据整合到分子生物学家的工作中，包括下载，组织，存储和分析人类基因组数据的能力。在本章中，提出了关键的考虑因素和资源，重点是分子生物学家可能不熟悉的方法，关于人类受试者保护指南，人类遗传学的异质性，数据安全和存储，编程语言和数据分析培训。
Testing hypotheses in human populations, then translating such findings into an experimental paradigm to test for causality can accelerate the rate of therapeutic discovery for many aging-related diseases. Integration of human genomics data has become much more accessible to molecular biologists in recent years due to the explosion of data availability and wealth of bioinformatic resources, tools, and methods that work together to minimize barriers related to its use. There are specific skill sets that can promote integration of human data into the work of molecular biologists, which include the ability to download, organize, store, and analyze human genomics data. In this chapter, key considerations and resources are presented, focusing on approaches that might be unfamiliar to molecular biologists, with regard to human subjects protection guidelines, heterogeneity in human genetics, data security and storage, programming languages, and training for data analysis.