号角图:可视化基因关联研究中的等位基因频率和效应大小之间的关系
Lucia Corte1,2, Lathan Liou1, Paul F O'Reilly1
1Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York City, NY 10029, USA.
GigaByte (Hong Kong, China)
|September 15, 2023
概括
一种新的可视化方法,喇图,有效地说明了复杂的特征和疾病的遗传结构. 这些图表揭示了变异频率和效应大小之间的关系,有助于遗传研究.
科学领域:
- 遗传学 是一个遗传学.
- 生物信息学是一种生物信息学.
- 统计遗传学 统计遗传学
背景情况:
- 复杂的特征和疾病是众多遗传变异的结果.
- 了解基因架构需要可视化跨等位基因频率的变异效应.
- 目前的可视化方法缺乏标准化.
研究的目的:
- 提出一种标准化的图形方法,用于可视化基因关联在异位基因频谱的频谱.
- 引入"喇图"来说明变异频率,效果大小和遗传架构之间的关系.
主要方法:
- 开发了一种标准化的方法来可视化风险变异效应大小.
- 使用英国生物银行数据为100多个特征生成"喇图".
- 创建了一个R包 ("TrumpetPlots") 和R Shiny应用程序 ("Shiny Trumpets") 为了更广泛的可访问性.
主要成果:
- 拟议的喇图表表现出一种独特的形状:许多高频,小效果的变体和少数低频,大效果的变体.
- 证明了在理解复杂特征的遗传结构方面,喇图的实用性.
- 为探索和提交遗传关联数据提供了用户友好的工具.
结论:
- 号角图提供了一种标准化和有效的方法来可视化遗传关联数据.
- 这种可视化有助于理解疾病中遗传变异的复杂相互作用.
- 开发的R包和Shiny应用程序促进了这种方法的更广泛采用和应用.
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