Association of Alzheimer's disease GWAS loci with MRI markers of brain aging

Journal Article (2015)
Author(s)

Ganesh Chauhan (Université de Bordeaux)

Hieab H.H. Adams (Erasmus MC)

Joshua C. Bis (University of Washington)

Galit Weinstein (Framingham Heart Study, Boston University School of Medicine)

Lei Yu (Rush University Medical Center)

Anna Maria Töglhofer (Medical University Graz)

Albert Vernon Smith (Icelandic Heart Association)

Sven J. van der Lee (Erasmus MC)

Rebecca F. Gottesman (Johns Hopkins Bloomberg School of Public Health, Johns Hopkins University)

Wiro J. Niessen (TU Delft - ImPhys/Quantitative Imaging, Erasmus MC)

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DOI related publication
https://doi.org/10.1016/j.neurobiolaging.2014.12.028 Final published version
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Publication Year
2015
Language
English
Affiliation
External organisation
Issue number
4
Volume number
36
Pages (from-to)
1765.e7-1765.e16
Downloads counter
257

Abstract

Whether novel risk variants of Alzheimer's disease (AD) identified through genome-wide association studies also influence magnetic resonance imaging-based intermediate phenotypes of AD in the general population is unclear. We studied association of 24 AD risk loci with intracranial volume, total brain volume, hippocampal volume (HV), white matter hyperintensity burden, and brain infarcts in a meta-analysis of genetic association studies from large population-based samples (N= 8175-11,550). In single-SNP based tests, AD risk allele of APOE (rs2075650) was associated with smaller HV (. p= 0.0054) and CD33 (rs3865444) with smaller intracranial volume (. p= 0.0058). In gene-based tests, there was associations of HLA-DRB1 with total brain volume (. p= 0.0006) and BIN1 with HV (. p= 0.00089). Aweighted AD genetic risk score was associated with smaller HV (beta ± SE=-0.047 ± 0.013, p= 0.00041), even after excluding the APOE locus (. p= 0.029). However, only association of AD genetic risk score with HV, including APOE, was significant after multiple testing correction (including number of independent phenotypes tested). These results suggest that novel AD genetic risk variants may contribute to structural brain aging in nondemented older community persons.