Sex- and APOE-specific genetic risk factors for late-onset Alzheimer's disease: Evidence from gene–gene interaction of longevity-related loci

IF 8 1区 医学 Q1 CELL BIOLOGY
Aging Cell Pub Date : 2023-08-24 DOI:10.1111/acel.13938
Serena Dato, Francesco De?Rango, Paolina Crocco, Stefano Pallotti, Michael E. Belloy, Yann Le?Guen, Michael D. Greicius, Giuseppe Passarino, Giuseppina Rose, Valerio Napolioni
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引用次数: 1

Abstract

Advanced age is the largest risk factor for late-onset Alzheimer's disease (LOAD), a disease in which susceptibility correlates to almost all hallmarks of aging. Shared genetic signatures between LOAD and longevity were frequently hypothesized, likely characterized by distinctive epistatic and pleiotropic interactions. Here, we applied a multidimensional reduction approach to detect gene–gene interactions affecting LOAD in a large dataset of genomic variants harbored by genes in the insulin/IGF1 signaling, DNA repair, and oxidative stress pathways, previously investigated in human longevity. The dataset was generated from a collection of publicly available Genome Wide Association Studies, comprising a total of 2,469 gene variants genotyped in 20,766 subjects of Northwestern European ancestry (11,038 LOAD cases and 9,728 controls). The stratified analysis according to APOE*4 status and sex corroborated evidence that pathways leading to longevity also contribute to LOAD. Among the significantly interacting genes, PTPN1, TXNRD1, and IGF1R were already found enriched in gene–gene interactions affecting survival to old age. Furthermore, interacting variants associated with LOAD in a sex- and APOE-specific way. Indeed, while in APOE*4 female carriers we found several inter-pathway interactions, no significant epistasis was found in APOE*4 negative females; conversely, in males, significant intra- and inter-pathways epistasis emerged according to APOE*4 status. These findings suggest that interactions of risk factors may drive different trajectories of cognitive aging. Beyond helping to disentangle the genetic architecture of LOAD, such knowledge may improve precision in predicting the risk of dementia and enable effective sex- and APOE-stratified preventive and therapeutic interventions for LOAD.

Abstract Image

迟发性阿尔茨海默病的性别和apoe特异性遗传危险因素:来自长寿相关基因座基因相互作用的证据
高龄是迟发性阿尔茨海默病(LOAD)的最大危险因素,这种疾病的易感性几乎与衰老的所有特征相关。LOAD和长寿之间共享的遗传特征经常被假设,可能以独特的上位性和多效性相互作用为特征。在这里,我们应用了一种多维还原方法来检测影响LOAD的基因-基因相互作用,这些基因是由胰岛素/IGF1信号传导、DNA修复和氧化应激途径中的基因所携带的,之前在人类长寿中研究过。该数据集来自可公开获得的全基因组关联研究,包括20,766名西北欧血统受试者(11038例LOAD病例和9728例对照)的总共2,469个基因变体。根据APOE*4状态和性别的分层分析证实了导致长寿的途径也有助于LOAD。在相互作用显著的基因中,已经发现PTPN1、TXNRD1和IGF1R在影响老年生存的基因相互作用中富集。此外,与LOAD相关的相互作用变异以性别和apoe特异性的方式存在。事实上,虽然在APOE*4女性携带者中,我们发现了几种途径间的相互作用,但在APOE*4阴性的女性中没有发现明显的上位性;相反,在男性中,根据APOE*4的状态,出现了显著的通路内和通路间上位性。这些发现表明,风险因素的相互作用可能导致认知衰老的不同轨迹。除了有助于解开LOAD的遗传结构外,这些知识还可以提高预测痴呆风险的准确性,并实现有效的LOAD性别和apoe分层预防和治疗干预。
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来源期刊
Aging Cell
Aging Cell Biochemistry, Genetics and Molecular Biology-Cell Biology
自引率
2.60%
发文量
212
期刊介绍: Aging Cell is an Open Access journal that focuses on the core aspects of the biology of aging, encompassing the entire spectrum of geroscience. The journal's content is dedicated to publishing research that uncovers the mechanisms behind the aging process and explores the connections between aging and various age-related diseases. This journal aims to provide a comprehensive understanding of the biological underpinnings of aging and its implications for human health. The journal is widely recognized and its content is abstracted and indexed by numerous databases and services, which facilitates its accessibility and impact in the scientific community. These include: Academic Search (EBSCO Publishing) Academic Search Alumni Edition (EBSCO Publishing) Academic Search Premier (EBSCO Publishing) Biological Science Database (ProQuest) CAS: Chemical Abstracts Service (ACS) Embase (Elsevier) InfoTrac (GALE Cengage) Ingenta Select ISI Alerting Services Journal Citation Reports/Science Edition (Clarivate Analytics) MEDLINE/PubMed (NLM) Natural Science Collection (ProQuest) PubMed Dietary Supplement Subset (NLM) Science Citation Index Expanded (Clarivate Analytics) SciTech Premium Collection (ProQuest) Web of Science (Clarivate Analytics) Being indexed in these databases ensures that the research published in Aging Cell is discoverable by researchers, clinicians, and other professionals interested in the field of aging and its associated health issues. This broad coverage helps to disseminate the journal's findings and contributes to the advancement of knowledge in geroscience.
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