Archipelago Method for Variant Set Association Test Statistics

Dylan Lawless

doi:10.1002/gepi.70025

2026-02-01

DOI：10.1002/gepi.70025

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摘要

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变异集关联测试（VSAT），特别是通过变异聚类整合稀有变异的那些，在遗传学研究中具有极高的价值。然而，与单变异测试的曼哈顿图不同，VSAT统计量缺乏内在的基因组坐标，阻碍了可视化解释。为克服此问题，我们开发了群岛方法，该方法为VSAT P值分配有意义的基因组坐标，使集合级和个体变异关联能够共同可视化。这产生了一个直观且信息丰富的图示，类似于群岛的聚岛，增强了变异的集体和个体影响的理解。我们进行了三项验证研究，涵盖从小规模到生物银行规模队列（从504名个体到490,640名UK Biobank参与者）的模拟和真实数据集。我们将单变异全基因组关联研究（GWAS）与基因和蛋白质通路水平的稀有变异聚类整合。这些研究包括1KG GWAS队列、Pan-UK Biobank GWAS与DeepRVAT WES基因水平研究，以及UKBB WGS基因水平UTR聚类PheWAS。群岛图适用于任何使用变异聚类评估个体变异和变异集的遗传关联研究，其可定制性便于复杂遗传数据的清晰传达。通过将至少两个维度的遗传数据整合到单一可视化中，VSAT结果可以轻松解读，并有助于识别变异集中的潜在因果变异，如蛋白质通路。

Keyword:

Archipelago

combined

GWAS

RVAT

VSAT

AI总结

对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。

期刊

Genetic Epidemiology

IF:

3.8

论文数:

被引数:

6.3K

机构

university of zurich

学者数:

5.1W

论文数: 4.0W

被引数: 65

University Children's Hospital Zurich

学者数:

285

论文数: 123

被引数: 2.7K

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