Genetic studies of quantitative MCI and AD phenotypes in ADNI: Progress, opportunities, and plans

被引:218
作者
Saykin, Andrew J. [1 ,2 ,3 ]
Shen, Li [1 ,2 ,4 ]
Yao, Xiaohui [1 ,5 ]
Kim, Sungeun [1 ,2 ]
Nho, Kwangsik [1 ,2 ]
Risacher, Shannon L. [1 ,2 ]
Ramanan, Vijay K. [1 ,2 ,3 ]
Foroud, Tatiana M. [2 ,3 ]
Faber, Kelley M. [3 ]
Sarwar, Nadeem [6 ]
Munsie, Leanne M. [7 ]
Hu, Xiaolan [8 ]
Soares, Holly D. [8 ]
Potkin, Steven G. [9 ]
Thompson, Paul M. [10 ,11 ]
Kauwe, John S. K. [12 ,13 ]
Kaddurah-Daouk, Rima [14 ,15 ]
Green, Robert C. [16 ,17 ,18 ]
Toga, Arthur W. [19 ]
Weiner, Michael W. [20 ,21 ,22 ,23 ]
机构
[1] Indiana Univ, Ctr Neuroimaging, Dept Radiol & Imaging Sci, Sch Med, Indianapolis, IN 46204 USA
[2] Indiana Univ, Indiana Alzheimer Dis Ctr, Sch Med, Indianapolis, IN 46204 USA
[3] Indiana Univ, Dept Med & Mol Genet, Sch Med, Indianapolis, IN 46204 USA
[4] Indiana Univ, Ctr Computat Biol & Bioinformat, Sch Med, Indianapolis, IN 46204 USA
[5] Indiana Univ, Sch Informat & Comp, Purdue Univ, Indianapolis, IN 46204 USA
[6] Eisai Ltd, Hatfield, Herts, England
[7] Eli Lilly & Co, Indianapolis, IN 46285 USA
[8] Bristol Myers Squibb, Wallingford, CT USA
[9] Univ Calif Irvine, Dept Psychiat & Human Behav, Irvine, CA 92717 USA
[10] Univ So Calif, Dept Neurol, Keck Sch Med, Marina Del Rey, CA USA
[11] Univ So Calif, Imaging Genet Ctr, Keck Sch Med, Marina Del Rey, CA USA
[12] Brigham Young Univ, Dept Biol, Provo, UT 84602 USA
[13] Brigham Young Univ, Dept Neurosci, Provo, UT USA
[14] Duke Univ, Dept Psychiat & Behav Sci, Durham, NC USA
[15] Duke Univ, Duke Inst Brain Sci, Durham, NC USA
[16] Partners Ctr Personalized Genet Med, Boston, MA USA
[17] Brigham & Womens Hosp, Div Genet, Dept Med, Boston, MA 02115 USA
[18] Harvard Univ, Sch Med, Boston, MA 02115 USA
[19] Univ So Calif, Lab Neuroimaging, Inst Neuroimaging & Neuroinformat, Keck Sch Med, Los Angeles, CA USA
[20] Univ Calif San Francisco, Dept Radiol, San Francisco, CA 94143 USA
[21] Univ Calif San Francisco, Dept Med, San Francisco, CA 94143 USA
[22] Univ Calif San Francisco, Dept Psychiat, San Francisco, CA 94143 USA
[23] San Francisco VA Med Ctr, Ctr Imaging Neurodegenerat Dis, San Francisco, CA USA
基金
加拿大健康研究院; 美国国家卫生研究院; 美国国家科学基金会;
关键词
Alzheimer's disease (AD); Mild cognitive impairment (MCI); Genome-wide association studies (GWAS); Next generation sequencing (NGS); Copy number variation (CNV); Biomarkers; Magnetic resonance imaging (MRI); Positron emission tomography (PET); Cerebrospinal fluid (CSF); DNA; RNA; Memory; Cognition; Bioethical issues; Precision medicine; GENOME-WIDE ASSOCIATION; MILD COGNITIVE IMPAIRMENT; MANAGING INCIDENTAL FINDINGS; FAMILIAL ALZHEIMERS-DISEASE; APOLIPOPROTEIN-E; HUMAN-MEMORY; CEREBROSPINAL-FLUID; PATHWAY ANALYSIS; VENTRICULAR EXPANSION; HIPPOCAMPAL ATROPHY;
D O I
10.1016/j.jalz.2015.05.009
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
Introduction: Genetic data from the Alzheimer's Disease Neuroimaging Initiative (ADNI) have been crucial in advancing the understanding of Alzheimer's disease (AD) pathophysiology. Here, we provide an update on sample collection, scientific progress and opportunities, conceptual issues, and future plans. Methods: Lymphoblastoid cell lines and DNA and RNA samples from blood have been collected and banked, and data and biosamples have been widely disseminated. To date, APOE genotyping, genome-wide association study (GWAS), and whole exome and whole genome sequencing data have been obtained and disseminated. Results: ADNI genetic data have been downloaded thousands of times, and >300 publications have resulted, including reports of large-scale GWAS by consortia to which ADNI contributed. Many of the first applications of quantitative endophenotype association studies used ADNI data, including some of the earliest GWAS and pathway-based studies of biospecimen and imaging biomarkers, as well as memory and other clinical/cognitive variables. Other contributions include some of the first whole exome and whole genome sequencing data sets and reports in healthy controls, mild cognitive impairment, and AD. Discussion: Numerous genetic susceptibility and protective markers for AD and disease biomarkers have been identified and replicated using ADNI data and have heavily implicated immune, mitochondrial, cell cycle/fate, and other biological processes. Early sequencing studies suggest that rare and structural variants are likely to account for significant additional phenotypic variation. Longitudinal analyses of transcriptomic, proteomic, metabolomic, and epigenomic changes will also further elucidate dynamic processes underlying preclinical and prodromal stages of disease. Integration of this unique collection of multiomics data within a systems biology framework will help to separate truly informative markers of early disease mechanisms and potential novel therapeutic targets from the vast background of less relevant biological processes. Fortunately, a broad swath of the scientific community has accepted this grand challenge. (C) 2015 The Authors. Published by Elsevier Inc. on behalf of the Alzheimer's Association.
引用
收藏
页码:792 / 814
页数:23
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