A Specialized Reference Panel with Structural Variants Integration for Improving Genotype Imputation in Alzheimer's Disease and Related Dementias (ADRD)

Po-Liang Cheng, Hui Wang, Beth A Dombroski, John J Farrell, Iris Horng, Tingting Chung, Giuseppe Tosto, Brian W Kunkle, William S Bush, Badri Vardarajan, Gerard D Schellenberg, Wan-Ping Lee
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Abstract

We developed an imputation panel for Alzheimer's disease (AD) and related dementias (ADRD) using whole-genome sequencing (WGS) data from the Alzheimer's Disease Sequencing Project (ADSP). Recognizing the significant associations between structural variants (SVs) and AD, and their underrepresentation in existing public reference panels, our panel uniquely integrates single nucleotide variants (SNVs), short insertions and deletions (indels), and SVs. This panel enhances the imputation of disease susceptibility, including rare AD-associated SNVs, indels, and SVs, onto genotype array data, offering a cost-effective alternative to whole-genome sequencing while significantly augmenting statistical power. Notably, we discovered 10 rare indels nominal significant related to AD that are absent in the TOPMed-r2 panel and identified three suggestive significant (p-value < 1E-05) AD-associated SVs in the genes EXOC3L2 and DMPK, were identified. These findings provide new insights into AD genetics and underscore the critical role of imputation panels in advancing our understanding of complex diseases like ADRD.
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整合结构变异的专用参照组,用于改进阿尔茨海默病及相关痴呆症(ADRD)的基因型推算
我们利用阿尔茨海默病测序项目(ADSP)的全基因组测序(WGS)数据开发了阿尔茨海默病(AD)及相关痴呆症(ADRD)的估算面板。认识到结构变异(SVs)与老年痴呆症之间的重要关联以及它们在现有公共参考面板中的代表性不足,我们的面板独特地整合了单核苷酸变异(SNVs)、短插入和缺失(indels)以及 SVs。该面板增强了对基因型阵列数据中疾病易感性的归因,包括罕见的AD相关SNVs、indels和SVs,为全基因组测序提供了一种具有成本效益的替代方法,同时显著提高了统计能力。值得注意的是,我们发现了 10 个在 TOPMed-r2 面板中不存在的与 AD 有显著相关性的罕见嵌合体,并在基因 EXOC3L2 和 DMPK 中发现了 3 个与 AD 相关的提示性显著 SVs(p-value < 1E-05)。这些发现为我们提供了有关 AD 遗传学的新见解,并强调了归因面板在促进我们对 ADRD 等复杂疾病的了解方面所起的关键作用。
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