GRPa-PRS: A risk stratification method to identify genetically-regulated pathways in polygenic diseases

IF 11.1 1区 医学 Q1 CLINICAL NEUROLOGY
Xiaoyang Li, Brisa S. Fernandes, Andi Liu, Jingchun Chen, Xiangning Chen, Zhongming Zhao, Yulin Dai
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引用次数: 0

Abstract

INTRODUCTION

Polygenic risk score (PRS) assesses genetic risk for diseases, yet some high-risk individuals avoid illness while low-risk individuals develop it. We hypothesize that unknown counterfactors may reverse PRS predictions, offering insights into disease mechanisms and interventions.

METHODS

We developed a novel framework to identify genetically-regulated pathways (GRPas) using PRS-based stratification in Alzheimer's disease (AD) and schizophrenia (SCZ) cohorts. We calculated PRS models, stratified individuals by risk and diagnosis, and analyzed differential GRPas. For AD, analyses were further conducted with and without apolipoprotein E (APOE) effects, and across APOE haplotype.

RESULTS

In AD, we identified several well-known AD-related pathways, including amyloid-beta clearance, tau protein binding, and resilience-related calcium signaling pathway, and divalent inorganic cation homeostasis.

DISCUSSION

Our method offers flexibility for exploring GRPas among PRS-stratified subgroups using summary statistics or individual-level data. Fewer GRPas identified in the no-APOE AD model and SCZ suggest a more polygenic architecture, necessitating larger samples to detect significant GRPas.

Highlights

  • Characterize genetically-regulated expression (GReX) among groups stratified by polygenic risk score (PRS)
  • Leverage GReX and PRS to explore the resilience and susceptibility at the pathway level
  • Highlight calcium signaling and cation homeostasis functions linked to resilience
  • Enable personalized prevention by reinforcing the different resilience factors present or absent in each individual
  • Our genetically-regulated pathway (GRPa) -PRS framework can be further expanded to other complex polygenic traits

Abstract Image

GRPa‐PRS:一种识别多基因疾病遗传调控通路的风险分层方法
多基因风险评分(PRS)评估疾病的遗传风险,然而一些高风险个体避免了疾病,而低风险个体却发生了疾病。我们假设未知的对抗因素可能会逆转PRS预测,为疾病机制和干预提供见解。方法:在阿尔茨海默病(AD)和精神分裂症(SCZ)队列中,我们开发了一个新的框架,利用基于PRS的分层来识别遗传调控通路(GRPas)。我们计算了PRS模型,根据风险和诊断对个体进行分层,并分析了不同的grpa。对于AD,进一步分析了载脂蛋白E (APOE)的影响和不影响,以及APOE单倍型。结果在阿尔茨海默病中,我们确定了几种众所周知的阿尔茨海默病相关途径,包括淀粉样蛋白- β清除、tau蛋白结合、弹性相关钙信号通路和二价无机阳离子稳态。我们的方法为利用汇总统计或个人水平数据在PRS分层亚组中探索grpa提供了灵活性。在无APOE AD模型和SCZ中发现的grpa较少,表明其多基因结构,需要更大的样本来检测显著的grpa。重点研究通过多基因风险评分(PRS)分层的人群中遗传调控表达(GReX)的特征利用GReX和PRS在途径水平上探索恢复力和易感性重点研究与恢复力相关的钙信号和阳离子平衡功能通过加强每个个体存在或不存在的不同恢复力因子实现个性化预防我们的遗传调控途径(GRPa) - PRS框架可以进一步扩展到其他复合物多基因性状
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来源期刊
Alzheimer's & Dementia
Alzheimer's & Dementia 医学-临床神经学
CiteScore
14.50
自引率
5.00%
发文量
299
审稿时长
3 months
期刊介绍: Alzheimer's & Dementia is a peer-reviewed journal that aims to bridge knowledge gaps in dementia research by covering the entire spectrum, from basic science to clinical trials to social and behavioral investigations. It provides a platform for rapid communication of new findings and ideas, optimal translation of research into practical applications, increasing knowledge across diverse disciplines for early detection, diagnosis, and intervention, and identifying promising new research directions. In July 2008, Alzheimer's & Dementia was accepted for indexing by MEDLINE, recognizing its scientific merit and contribution to Alzheimer's research.
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