DanMAC5:来自8,671个全基因组测序的丹麦个体的聚合序列变异的浏览器
Karina Banasik1, Peter L Møller2, Tanya R Techlo3
1Translational Disease Systems Biology, Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Blegdamsvej 3B, DK-2200, Copenhagen N, Denmark. karina.banasik@cpr.ku.dk.
BMC genomic data
|May 27, 2023
概括
这项研究提出了一套新的数据集,用于对8,671名丹麦人的全基因组测序 (WGS) 序列变异的等位基因计数. 该资源通过为丹麦人口提供可访问的变异数据来帮助遗传研究.
科学领域:
- 基因组学就是基因组学.
- 人口遗传学 人口遗传学
- 生物信息学是一种生物信息学.
背景情况:
- 来自全基因组测序 (WGS) 的等位基因数对遗传学和基因组研究的解释至关重要.
- 变体计数对于丹麦人口来说并不容易获得,这阻碍了研究.
- 了解特定种群的序列变异是准确基因风险评估的关键.
研究的目的:
- 创建和共享丹麦人口中序列变异的等位基因计数的综合数据集.
- 通过提供可访问的变体数据,促进遗传和基因组研究.
- 支持对常见疾病遗传风险因素的解释.
主要方法:
- 处理了来自8,671名丹麦人的全基因组测序 (WGS) 数据.
- 标准化质量控制管道应用于三个独立的WGS数据集.
- 代基数被总结,过,并合并以创建一个高质量的总结级数据集.
主要成果:
- 从8,671名丹麦人的WGS中生成了单核酸变异 (SNV) 和indels的等位基因计数数据集.
- 数据资源基于研究心血管,精神和头痛疾病的项目中的WGS数据.
- 通过欧洲基因组现象档案 (EGA) 和DanMAC5浏览器,可以获得总结的等位基因计数统计数据.
结论:
- 本文所介绍的数据集为丹麦人口中序列变异的基谱提供了关键的见解.
- 这种资源对于在遗传学和基因组学研究中准确解释变异至关重要.
- 增加对特定种群变异数据的可访问性,有助于更好地了解遗传疾病风险.
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