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Multiple loci influencing hippocampal degeneration identified by genome scan

Authors

  • Scott A. Melville PhD,

    1. Department of Medicine (Biomedical Genetics), Boston University School of Medicine, Boston, MA
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  • Jacqueline Buros BA,

    1. Department of Medicine (Biomedical Genetics), Boston University School of Medicine, Boston, MA
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  • Antonio R. Parrado PhD,

    1. Genetics and Aging Research Unit, Massachusetts General Hospital, Boston, MA
    2. Department of Neurology, Harvard Medical School, Boston, MA
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  • Badri Vardarajan MS,

    1. Department of Medicine (Biomedical Genetics), Boston University School of Medicine, Boston, MA
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  • Mark W. Logue PhD,

    1. Department of Medicine (Biomedical Genetics), Boston University School of Medicine, Boston, MA
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  • Li Shen PhD,

    1. Center for Neuroimaging, Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, IN
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  • Shannon L. Risacher PhD,

    1. Center for Neuroimaging, Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, IN
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  • Sungeun Kim PhD,

    1. Center for Neuroimaging, Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, IN
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  • Gyungah Jun PhD,

    1. Department of Medicine (Biomedical Genetics), Boston University School of Medicine, Boston, MA
    2. Department of Ophthalmology, Boston University School of Medicine, Boston, MA
    3. Department of Epidemiology, Boston University School Public Health, Boston, MA
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  • Charles DeCarli MD,

    1. Department of Neurology, University of California at Davis, Davis, CA
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  • Kathryn L. Lunetta PhD,

    1. Department of Epidemiology, Boston University School Public Health, Boston, MA
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  • Clinton T. Baldwin PhD,

    1. Department of Medicine (Biomedical Genetics), Boston University School of Medicine, Boston, MA
    2. Center for Human Genetics, Boston University School of Medicine, Boston, MA
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  • Andrew J. Saykin PhD,

    1. Center for Neuroimaging, Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, IN
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  • Lindsay A. Farrer PhD,

    Corresponding author
    1. Department of Medicine (Biomedical Genetics), Boston University School of Medicine, Boston, MA
    2. Department of Ophthalmology, Boston University School of Medicine, Boston, MA
    3. Department of Epidemiology, Boston University School Public Health, Boston, MA
    4. Department of Neurology, Boston University School of Medicine, Boston, MA
    5. Department of Biostatistics, Boston University School of Public Health, Boston, MA
    • Biomedical Genetics L320, Boston University School of Medicine, 72 East Concord Street, Boston, MA 02118
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  • the Alzheimer's Disease Neuroimaging Initiative


Abstract

Objective:

Large genome-wide association studies (GWASs) have identified many novel genes influencing Alzheimer disease (AD) risk, but most of the genetic variance remains unexplained. We conducted a 2-stage GWAS for AD-related quantitative measures of hippocampal volume (HV), total cerebral volume (TCV), and white matter hyperintensities (WMH).

Methods:

Brain magnetic resonance imaging measures of HV, TCV, and WMH were obtained from 981 Caucasian and 419 African American AD cases and their cognitively normal siblings in the MIRAGE (Multi Institutional Research in Alzheimer's Genetic Epidemiology) Study, and from 168 AD cases, 336 individuals with mild cognitive impairment, and 188 controls in the Alzheimer's Disease Neuroimaging Initiative Study. A GWAS for each trait was conducted in the 2 Caucasian data sets in stage 1. Results from the 2 data sets were combined by meta-analysis. In stage 2, 1 single nucleotide polymorphism (SNP) from each region that was nominally significant in each data set (p < 0.05) and strongly associated in both data sets (p < 1.0 × 10−5) was evaluated in the African American data set.

Results:

Twenty-two markers (14 for HV, 3 for TCV, and 5 for WMH) from distinct regions met criteria for evaluation in stage 2. Novel genome-wide significant associations (p < 5.0 × 10−8) were attained for HV with SNPs in the APOE, F5/SELP, LHFP, and GCFC2 gene regions. All of these associations were supported by evidence in each data set. Associations with different SNPs in the same gene (p < 1 × 10−5 in Caucasians and p < 2.2 × 10−4 in African Americans) were also observed for PICALM with HV, SYNPR with TCV, and TTC27 with WMH.

Interpretation:

Our study demonstrates the efficacy of endophenotypes for broadening our understanding of the genetic basis of AD. ANN NEUROL 2012;

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