Voxelwise meta-analysis of brain structural associations with genome-wide polygenic risk for Alzheimer's disease

Linda Ding, Alyssa H. Zhu, Arvin Saremi, Joshua I. Faskowitz, Asta Håberg, Paul M. Thompson, Neda Jahanshad

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

Polygenic risk scores (PRSs) may be used to investigate the effects of genetic risk for disease on complex human traits. Here we set out to determine how the overall genetic risk for Alzheimer's disease (AD) shapes brain structure in non-AD populations. PRS scores were computed using results from the International Genomics of Alzheimer's Project (IGAP) study. PRSs were computed at 14 different significance thresholds in the IGAP results. The effect of PRS as a predictor of brain morphometry was mapped voxelwise on brain structure as determined by tensor-based morphometry (TBM) in three cohorts: ADNI1, ADNI2, and HUNT. Our multi-cohort TBM framework first tests associations in each cohort individually, then meta-analyzes findings in a common space. Higher PRS for AD was associated with greater ventricular and lower hippocampal volumes. Associations remained after removing the major AD risk gene, APOE, from the PRS. This cumulative influence of common genetic variants on brain-wide structural variation in nondemented individuals may pinpoint genetic and neurological pathways that contribute to the preclinical assessment of disease risk.

Original languageEnglish
Title of host publication14th International Symposium on Medical Information Processing and Analysis
EditorsNatasha Lepore, Eduardo Romero, Jorge Brieva
PublisherSPIE
ISBN (Electronic)9781510626058
DOIs
StatePublished - 2018
Externally publishedYes
Event14th International Symposium on Medical Information Processing and Analysis, SIPAIM 2018 - Mazatlan, Mexico
Duration: 24 Oct 201826 Oct 2018

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume10975
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

Conference14th International Symposium on Medical Information Processing and Analysis, SIPAIM 2018
Country/TerritoryMexico
CityMazatlan
Period24/10/1826/10/18

Keywords

  • Alzheimer's disease
  • MRI
  • brain
  • imaging genetics
  • polygenic risk score
  • tensor-based morphometry

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