Crowdsourced estimation of cognitive decline and resilience in Alzheimer's disease

被引:54
|
作者
Allen, Genevera I. [1 ]
Amoroso, Nicola [2 ,3 ]
Anghel, Catalina [4 ]
Balagurusamy, Venkat [5 ]
Bare, Christopher J. [6 ]
Beaton, Derek [7 ]
Bellotti, Roberto [2 ,3 ]
Bennett, David A. [8 ]
Boehme, Kevin L. [9 ]
Boutros, Paul C. [4 ,10 ,11 ]
Caberlotto, Laura [12 ]
Caloian, Cristian [4 ]
Campbell, Frederick [1 ]
Chaibub Neto, Elias [6 ]
Chang, Yu-Chuan [13 ]
Chen, Beibei [14 ]
Chen, Chien-Yu [15 ]
Chien, Ting-Ying [16 ]
Clark, Tim [17 ,18 ]
Das, Sudeshna [17 ,18 ]
Davatzikos, Christos [19 ]
Deng, Jieyao [20 ,21 ]
Dillenberger, Donna [5 ]
Dobson, Richard J. B. [22 ,23 ,57 ]
Dong, Qilin [20 ,21 ]
Doshi, Jimit [19 ]
Duma, Denise [24 ]
Errico, Rosangela [25 ]
Erus, Guray [19 ]
Everett, Evan [1 ]
Fardo, David W. [26 ,27 ]
Friend, Stephen H. [6 ]
Froehlich, Holger [28 ]
Gan, Jessica [1 ]
St George-Hyslop, Peter [29 ,30 ]
Ghosh, Satrajit S. [31 ,32 ]
Glaab, Enrico [33 ]
Green, Robert C. [34 ,35 ]
Guan, Yuanfang [36 ,37 ,38 ]
Hong, Ming-Yi [15 ]
Huang, Chao [39 ]
Hwang, Jinseub [40 ]
Ibrahim, Joseph [39 ]
Inglese, Paolo [41 ]
Iyappan, Anandhi [28 ,43 ]
Jiang, Qijia [1 ]
Katsumata, Yuriko [27 ]
Kauwe, John S. K. [9 ]
Klein, Arno [6 ]
Kong, Dehan [39 ]
机构
[1] Rice Univ, Dept Stat & Elect & Comp Engn, Houston, TX USA
[2] Univ Bari A Moro, Dipartimento Fis M Merlin, Bari, Italy
[3] Ist Nazl Fis Nucl, Sez Bari, I-70126 Bari, Italy
[4] Ontario Inst Canc Res, Informat & Biocomp Program, MaRS Ctr, Toronto, ON, Canada
[5] IBM Res, IBM Computat Biol Ctr, Yorktown Hts, NY USA
[6] Sage Bionetworks, Seattle, WA USA
[7] Univ Texas Dallas, Sch Behav & Brain Sci, Richardson, TX 75083 USA
[8] Rush Univ, Rush Alzheimers Dis Ctr, Med Ctr, Chicago, IL 60612 USA
[9] Brigham Young Univ, Dept Biol, Provo, UT 84602 USA
[10] Univ Toronto, Dept Med Biophys, Toronto, ON, Canada
[11] Univ Toronto, Dept Pharmacol & Toxicol, Toronto, ON, Canada
[12] Microsoft Res, Univ Trento Ctr Computat & Syst Biol COSBI, Rovereto, Italy
[13] Natl Taiwan Univ, Grad Inst Biomed Elect & Bioinformat, Taipei 10764, Taiwan
[14] Univ Texas SW Med Ctr Dallas, Quantitat Biomed Res Ctr, Dallas, TX 75390 USA
[15] Natl Taiwan Univ, Dept Bioind Mechatron Engn, Taipei 10764, Taiwan
[16] Yuan Ze Univ, Innovat Ctr Big Data & Digital Convergence, Taoyuan, Taiwan
[17] Massachusetts Gen Hosp, Dept Neurol, Cambridge, MA USA
[18] Harvard Univ, Sch Med, Dept Neurol, Boston, MA 02115 USA
[19] Univ Penn, Ctr Biomed Image Comp & Analyt, Philadelphia, PA 19104 USA
[20] Fudan Univ, Sch Comp Sci, Shanghai 200433, Peoples R China
[21] Fudan Univ, Shanghai Key Lab Intelligent Informat Proc, Shanghai 200433, Peoples R China
[22] Kings Coll London, NIHR Biomed Res Ctr Mental Hlth, London WC2R 2LS, England
[23] Kings Coll London, MRC Social Genet & Dev Psychiat Ctr, Inst Psychiat Psychol & Neurosci, London WC2R 2LS, England
[24] Baylor Coll Med, Dept Pediat Neurol, Houston, TX 77030 USA
[25] Univ Genoa, Genoa, Italy
[26] Univ Kentucky, Sanders Brown Ctr Aging, Lexington, KY 40536 USA
[27] Univ Kentucky, Dept Biostat, Lexington, KY USA
[28] Univ Bonn, Bonn Aachen Int Ctr IT, Bonn, Germany
[29] Univ Cambridge, Cambridge Inst Med Res, Cambridge CB2, England
[30] Univ Toronto, Cambridge CB2, England
[31] MIT, McGovern Inst Brain Res, 77 Massachusetts Ave, Cambridge, MA 02139 USA
[32] Harvard Univ, Sch Med, Dept Otol & Laryngol, Boston, MA 02115 USA
[33] Univ Luxembourg, Luxembourg Ctr Syst Biomed, Esch Sur Alzette, Luxembourg
[34] Brigham & Womens Hosp, Dept Med, Div Genet, Broad Inst, 75 Francis St, Boston, MA 02115 USA
[35] Harvard Univ, Sch Med, Boston, MA USA
[36] Univ Michigan, Dept Computat Med & Bioinformat, Ann Arbor, MI 48109 USA
[37] Univ Michigan, Dept Elect Engn & Comp Sci, Ann Arbor, MI 48109 USA
[38] Univ Michigan, Dept Internal Med, Ann Arbor, MI 48109 USA
[39] Univ N Carolina, Dept Biostat, Chapel Hill, NC USA
[40] Daegu Univ, Dept Comp Sci & Stat, Gyongsan, Gyeongsangbuk D, South Korea
[41] Univ London Imperial Coll Sci Technol & Med, Dept Surg & Canc, Fac Med, London, England
[42] Univ Oxford, Warneford Hosp, Dept Psychiat, Oxford, England
[43] Schloss Birlinghoven, Dept Bioinformat, Fraunhofer Inst Algorithms & Sci Comp SCAI, St Augustin, Germany
[44] George Washington Univ, Computat Biol Inst, Ashburn, VA USA
[45] Kings Coll London, Dept Biostat, London WC2R 2LS, England
[46] Hosp Univ Vall dHebron, Dept Neuroimmunol, Fdn Inst Recerca, Barcelona, Spain
[47] Karolinska Inst, Dept Med Epidemiol & Biostat, Stockholm, Sweden
[48] Icahn Sch Med Mt Sinai, Genet & Genom Sci Dept, New York, NY 10029 USA
[49] Natl Taiwan Univ, Genome & Syst Biol Degree Program, Taipei 10764, Taiwan
[50] Univ Virginia, Dept Radiol & Med Imaging, Charlottesville, VA USA
基金
美国国家卫生研究院; 加拿大健康研究院;
关键词
Azheimer's disease; Biomarkers; Crowdsource; Big data; Bioinformatics; Cognitive decline; Imaging; Genetics; GENOME-WIDE ASSOCIATION; RISK PREDICTION; IMPAIRMENT; BIOMARKERS; DEMENTIA; PATTERNS; ATROPHY; PROJECT; HEALTH; MEMORY;
D O I
10.1016/j.jalz.2016.02.006
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
Identifying accurate biomarkers of cognitive decline is essential for advancing early diagnosis and prevention therapies in Alzheimer's disease. The Alzheimer's disease DREAM Challenge was designed as a computational crowdsourced project to benchmark the current state-of-the-art in predicting cognitive outcomes in Alzheimer's disease based on high dimensional, publicly available genetic and structural imaging data. This meta-analysis failed to identify a meaningful predictor developed from either data modality, suggesting that alternate approaches should be considered for prediction of cognitive performance. (C) 2016 The Authors. Published by Elsevier Inc. on behalf of the Alzheimer's Association. This is an open access article under the CC BY-NC-ND license.
引用
收藏
页码:645 / 653
页数:9
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