在AMYPAD PNHS联盟中协调基因型阵列数据以了解脑淀粉样蛋白负担的遗传风险

IF 11.1 1区 医学 Q1 CLINICAL NEUROLOGY
Emma S. Luckett, Yasmina Abakkouy, Luigi Lorenzini, Lyduine E. Collij, David Vallez Garcia, Pieter Jelle Visser, Anouk den Braber, Craig Ritchie, Mercè Boada, Patricia Genius, Natàlia Vilor-Tejedor, Juan Domingo Gispert, Rik Vandenberghe, Frederik Barkhof, Isabelle Cleynen, the AMYPAD Consortium
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引用次数: 0

摘要

我们试图协调来自痴呆前AMYPAD(淀粉样蛋白成像预防阿尔茨海默病)联盟的基因型数据,计算多基因风险评分(PRS),并确定它们与全球淀粉样蛋白沉积的关系。方法统一5个AMYPAD亲本队列的遗传数据,计算阿尔茨海默病(AD)易感性、脑脊液(CSF)淀粉样蛋白β (Aβ)42和脑脊液磷酸化tau181的PRS。所有参与者均可获得横断面淀粉样蛋白(Centiloid [CL])负担,并通过回归模型确定PRS是否与淀粉样蛋白负担相关。经过协调,867名参与者的数据显示,与传统的AD易感性PRS相比,CSF Aβ42 PRS最能预测高CL负担。这项工作强调了数据协调和大功率研究队列汇集的重要性。研究结果表明,淀粉样蛋白病理的遗传易感性可能使个体在AD连续体的早期易感性。这证实了PRS在临床(试验)环境中作为评估AD风险的非侵入性工具的潜在用途。我们开发了一个强大的多队列基因型阵列数据协调管道。脑脊液β淀粉样蛋白(Aβ)特异性多基因风险评分(PRS)比其他PRS更能预测Aβ正电子发射断层扫描负担。结果表明,早期a β病理有很强的遗传易感性。这项工作突出了对健壮的数据协调和数据池的需求。这项工作还验证了PRS作为评估阿尔茨海默病风险的非侵入性工具的潜在用途。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Harmonizing genotype array data to understand genetic risk for brain amyloid burden in the AMYPAD PNHS Consortium

Harmonizing genotype array data to understand genetic risk for brain amyloid burden in the AMYPAD PNHS Consortium

Harmonizing genotype array data to understand genetic risk for brain amyloid burden in the AMYPAD PNHS Consortium

Harmonizing genotype array data to understand genetic risk for brain amyloid burden in the AMYPAD PNHS Consortium

Harmonizing genotype array data to understand genetic risk for brain amyloid burden in the AMYPAD PNHS Consortium

INTRODUCTION

We sought to harmonize genotype data from the predementia AMYPAD (Amyloid Imaging to Prevent Alzheimer's Disease) Consortium, compute polygenic risk scores (PRS), and determine their association with global amyloid deposition.

METHODS

Genetic data from five AMYPAD parent cohorts were harmonized, and PRS were computed for Alzheimer's disease (AD) susceptibility, cerebrospinal fluid (CSF) amyloid beta (Aβ)42, and CSF phosphorylated tau181. Cross-sectional amyloid (Centiloid [CL]) burden was available for all participants, and regression models determined if PRS were associated with CL burden.

RESULTS

After harmonization, data for 867 participants showed that high CL burden was most strongly predicted by CSF Aβ42 PRS compared to traditional AD susceptibility PRS.

DISCUSSION

This work emphasizes the importance of data harmonization and pooling of cohorts for large-powered studies. Findings suggest a genetic predisposition to amyloid pathology that may predispose individuals early in the AD continuum. This validates the potential use of PRS in clinical (trial) settings as a non-invasive tool to assess AD risk.

Highlights

  • We developed a robust harmonization pipeline for multi-cohort genotype array data.
  • Cerebrospinal fluid amyloid beta (Aβ)-specific polygenic risk scores (PRS) more strongly predicted global Aβ positron emission tomography burden than other PRS.
  • Results suggest a strong genetic predisposition to early Aβ pathology.
  • This work highlights the need for robust data harmonization and data pooling.
  • This work also validates the potential use of PRS as a non-invasive tool to assess Alzheimer's disease risk.
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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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