Challenges of Exploratory Visualization of Gene-environment Interaction in Alzheimer's Disease

E. Galkina, G. Grinstein
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Abstract

Alzheimer's Disease (AD) is the 6th leading cause of death in the United States. Although several genetic and environmental factors have been implicated in AD risks, no single factor is found solely responsible for disease manifestation in all Alzheimer's cases. In cases when no single gene can explain causality, the scenario of a combination of factors with modest effect sizes has been suggested. Through means of visual analysis in Weave we uncovered and further strengthened growing evidence for the link between genetics, air pollution and an earlier onset of Alzheimer's disease as exemplified in US cities with the highest reported levels of toxicity. Major sources of bias impacting our dataset are examined to caution the reader about the value of correlation findings in this less than ideal study sample.
阿尔茨海默病基因-环境相互作用探索性可视化的挑战
阿尔茨海默病(AD)是美国第六大死因。虽然一些遗传和环境因素与阿尔茨海默病的风险有关,但没有发现任何一个因素对所有阿尔茨海默病的疾病表现负有完全的责任。在没有单一基因可以解释因果关系的情况下,已经提出了具有适度效应大小的因素组合的情况。通过Weave的可视化分析,我们发现并进一步加强了越来越多的证据,证明遗传、空气污染和阿尔茨海默病早期发病之间存在联系,例如在毒性水平最高的美国城市。我们检查了影响我们数据集的主要偏倚来源,以提醒读者在这个不太理想的研究样本中相关发现的价值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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