Cited by 442Dementia and Cognitive Impairment ResearchAlzheimer's disease research and treatmentsGenetic Associations and Epidemiology

Alzheimer’s Disease Neuroimaging Initiative biomarkers as quantitative phenotypes: Genetics core aims, progress, and plans

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Saykin, Andrew J., Shen, Li, Foroud, Tatiana M., Potkin, Steven G., Swaminathan, Shanker, Kim, Sungeun, Risacher, Shannon L., Nho, Kwangsik +11 more·2010·Alzheimer's & Dementia

Abstract

The role of the Alzheimer's Disease Neuroimaging Initiative Genetics Core is to facilitate the investigation of genetic influences on disease onset and trajectory as reflected in structural, functional, and molecular imaging changes; fluid biomarkers; and cognitive status. Major goals include (1) blood sample processing, genotyping, and dissemination, (2) genome-wide association studies (GWAS) of longitudinal phenotypic data, and (3) providing a central resource, point of contact and planning group for genetics within the Alzheimer's Disease Neuroimaging Initiative. Genome-wide array data have been publicly released and updated, and several neuroimaging GWAS have recently been reported examining baseline magnetic resonance imaging measures as quantitative phenotypes. Other preliminary investigations include copy number variation in mild cognitive impairment and Alzheimer's disease and GWAS of baseline cerebrospinal fluid biomarkers and longitudinal changes on magnetic resonance imaging. Blood collection for RNA studies is a new direction. Genetic studies of longitudinal phenotypes hold promise for elucidating disease mechanisms and risk, development of therapeutic strategies, and refining selection criteria for clinical trials.

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Crossref · 10.1016/j.jalz.2010.03.013

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  • SNPs in and around APOE, BIN1, SORL1, and CR1 have been associated with traits including medial temporal lobe atrophy and cortical thickness.

    “SNPs in and around candidate genes including APOE, BIN1, SORL1, and CR1 have been associated with traits including medial temporal lobe atrophy and cortical thickness [225–228]”

    From Genetic architecture of Alzheimer's disease (2020) · cites this paper as [226]

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  1. [24]Macciardi F Guffanti G Torri F Rasmussen J Lakatos A Turner JA Increased CNV-Region Deletions in MCI and AD Subjects in the ADNI Sample 2010 International Conference on Alzheimer’s Disease (ICAD 2010) Honolulu, HI
  2. [25]Swaminathan S Kim S Shen L Risacher SL Foroud T Pankratz N Preliminary Analysis of Copy Number Variation in the ADNI Cohort 2010 International Conference on Alzheimer’s Disease (ICAD 2010) Honolulu, HI

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Authors
Saykin, A. J., Shen, L., Foroud, T. M., Potkin, S. G., Swaminathan, S., Kim, S., Risacher, S. L., Nho, K., Huentelman, M. J., Craig, D. W., Thompson, P. M., Stein, J. L., Moore, J. H., Farrer, L. A., Green, R. C., Bertram, L., Jack, C. R., Weiner, M. W., & Initiative, A. D. N.
Affiliations
  • Indiana University Indianapolis (US)
  • Department of Radiology and Imaging Sciences Center for Neuroimaging Indianapolis IN USA
  • University of California, Irvine (US)
  • Regenstrief Institute (US)
  • Translational Genomics Research Institute (US)
  • University of California, Los Angeles (US)
  • Dartmouth College (US)
  • Boston University (US)
  • Max Planck Institute for Molecular Genetics (DE)
  • Mayo Clinic (US)
  • San Francisco VA Medical Center (US)
Corresponding author
Saykin, Andrew J.
Venue
Alzheimer's & Dementia
Publisher
Wiley
Published
2010-05
Volume
6
Issue
3
Pages
265-273
ISSN
  • 1552-5260 (ISSN-L)
  • 1552-5279
OpenAlex
W2107199945
Cited by
442
References
50
Citations by year
2026: 13 · 2025: 28 · 2024: 33 · 2023: 23 · 2022: 41 · 2021: 36 · 2020: 36 · 2019: 32 · 2018: 26 · 2017: 31 · 2016: 35 · 2015: 23 · 2014: 19 · 2013: 20 · 2012: 19
FWCI
14.39
Type
journal article
Language
en
Open access
Locations
  • Alzheimer s & Dementia (publishedVersion)
  • PubMed (publishedVersion)
  • PubMed Central (acceptedVersion)
  • Max Planck Institute for Plasma Physics (submittedVersion)
  • IUScholarWorks (Indiana University) (submittedVersion)
Funders
  • National Institutes of Health (U01 AG024904, RC2 AG036535‐01)
  • National Institute on Aging (R01 AG19771, P30 AG10133‐18S1)
  • National Institute of Biomedical Imaging and Bioengineering (R03 EB008674)
  • National Center for Research Resources (RR025761, U01 AG032984, P20 RR020837, R01 N5059873, U24 RR021992, P30 AG010129, K01 AG030514)
Topics
  • Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
  • Health Sciences › Medicine › Physiology › Alzheimer's disease research and treatments
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
Keywords
Alzheimer's disease, genetic biomarkers
MeSH terms
Alzheimer Disease, Cognition Disorders, Diagnostic Imaging, Gene Expression Regulation, Genotype, Humans, Image Interpretation, Computer-Assisted, Mutation, Phenotype, Biomarkers, Disease Progression, Radiopharmaceuticals, Fluorodeoxyglucose F18, Genetic Predisposition to Disease, Monomeric Clathrin Assembly Proteins, MicroRNAs, Genome-Wide Association Study

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