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

Andrew J. Saykin(Indiana University School of Medicine), Li Shen, Tatiana Foroud(Indiana University School of Medicine), Steven G. Potkin(University of California, Irvine), Shanker Swaminathan(Indiana University School of Medicine), Sungeun Kim, Shannon L. Risacher, Kwangsik Nho(Regenstrief Institute), Matthew J. Huentelman(Translational Genomics Research Institute), David W. Craig(Translational Genomics Research Institute), Paul M. Thompson(University of California, Los Angeles), Jason L. Stein(University of California, Los Angeles), Jason H. Moore(Dartmouth College), Lindsay A. Farrer(Boston University), Robert C. Green(Boston University), Lars Bertram(Max Planck Institute for Molecular Genetics), Clifford R. Jack(Mayo Clinic in Florida), Michael W. Weiner(San Francisco VA Medical Center), Alzheimer's Disease Neuroimaging Initiative
Alzheimer s & Dementia
May 1, 2010
Cited by 456Open Access
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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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