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

Alzheimer's Disease Neuroimaging Initiative; Genevera I Allen; Nicola Amoroso; Catalina Anghel; Venkat Balagurusamy; Christopher J Bare; Derek Beaton; Roberto Bellotti; David A Bennett; Kevin L Boehme; Paul C Boutros; Laura Caberlotto; Cristian Caloian; Frederick Campbell; Elias Chaibub Neto; Yu-Chuan Chang; Beibei Chen; Chien-Yu Chen; Ting-Ying Chien; Tim Clark; Sudeshna Das; Christos Davatzikos; Jieyao Deng; Donna Dillenberger; Richard J B Dobson; Qilin Dong; Jimit Doshi; Denise Duma; Rosangela Errico; Guray Erus; Evan Everett; David W Fardo; Stephen H Friend; Holger Fröhlich; Jessica Gan; Peter St George-Hyslop; Satrajit S Ghosh; Enrico Glaab; Robert C Green; Yuanfang Guan; Ming-Yi Hong; Chao Huang; Jinseub Hwang; Joseph Ibrahim; Paolo Inglese; Anandhi Iyappan; Qijia Jiang; Yuriko Katsumata; John S K Kauwe; Arno Klein; Yunyun Zhou

doi:10.1016/j.jalz.2016.02.006

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

Alzheimer's Disease Neuroimaging Initiative
, Genevera I Allen
, Nicola Amoroso
, Catalina Anghel
, Venkat Balagurusamy
, Christopher J Bare
, Derek Beaton
, Roberto Bellotti
, David A Bennett
, Kevin L Boehme
, Paul C Boutros
, Laura Caberlotto
, Cristian Caloian
, Frederick Campbell
, Elias Chaibub Neto
, Yu-Chuan Chang
, Beibei Chen
, Chien-Yu Chen
, Ting-Ying Chien
, Tim Clark

Sudeshna Das, Christos Davatzikos, Jieyao Deng, Donna Dillenberger, Richard J B Dobson, Qilin Dong, Jimit Doshi, Denise Duma, Rosangela Errico, Guray Erus, Evan Everett, David W Fardo, Stephen H Friend, Holger Fröhlich, Jessica Gan, Peter St George-Hyslop, Satrajit S Ghosh, Enrico Glaab, Robert C Green, Yuanfang Guan, Ming-Yi Hong, Chao Huang, Jinseub Hwang, Joseph Ibrahim, Paolo Inglese, Anandhi Iyappan, Qijia Jiang, Yuriko Katsumata, John S K Kauwe, Arno Klein, Yunyun Zhou

Rice University
Dipartimento di Fisica "M. Merlin"
Ontario Institute for Cancer Research
IBM Computational Biology Center
Sage Bionetworks
University of Texas at Dallas
Rush University Medical Center
Brigham Young University
City of Toronto
University of Trento Centre for Computational and Systems Biology (COSBI)
National Taiwan University
University of Texas Southwestern Medical Center
Yuan Ze University
Harvard Medical School
University of Pennsylvania
Fudan University
University College London
Baylor College of Medicine
Università degli Studi di Genova
University of Kentucky
University of Bonn
University of Cambridge and University of Toronto
McGovern Institute for Brain Research
University of Luxembourg
Broad Institute and Harvard Medical School
University of Michigan
University of North Carolina at Chapel Hill
Daegu University
Imperial College London
Quantitative Biomedical Research Center

Research output: Contribution to journal › Article › peer-review

67 Scopus citations

Abstract

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.

Original language	English
Pages (from-to)	645-653
Number of pages	9
Journal	Alzheimer's and Dementia
Volume	12
Issue number	6
DOIs	https://doi.org/10.1016/j.jalz.2016.02.006
State	Published - Jun 1 2016

Keywords

Alzheimer Disease/complications
Apolipoproteins E/genetics
Biomarkers
Cognition Disorders/diagnosis
Computational Biology
Databases, Bibliographic/statistics & numerical data
Humans
Predictive Value of Tests

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10.1016/j.jalz.2016.02.006

Cite this

Alzheimer's Disease Neuroimaging Initiative, Allen, G. I., Amoroso, N., Anghel, C., Balagurusamy, V., Bare, C. J., Beaton, D., Bellotti, R., Bennett, D. A., Boehme, K. L., Boutros, P. C., Caberlotto, L., Caloian, C., Campbell, F., Chaibub Neto, E., Chang, Y.-C., Chen, B., Chen, C.-Y., Chien, T.-Y., ... Zhou, Y. (2016). Crowdsourced estimation of cognitive decline and resilience in Alzheimer's disease. Alzheimer's and Dementia, 12(6), 645-653. https://doi.org/10.1016/j.jalz.2016.02.006

@article{dc391941f99a45d380c6799e0de80aa1,

title = "Crowdsourced estimation of cognitive decline and resilience in Alzheimer's disease",

abstract = "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.",

keywords = "Alzheimer Disease/complications, Apolipoproteins E/genetics, Biomarkers, Cognition Disorders/diagnosis, Computational Biology, Databases, Bibliographic/statistics \& numerical data, Humans, Predictive Value of Tests",

author = "\{Alzheimer's Disease Neuroimaging Initiative\} and Allen, \{Genevera I\} and Nicola Amoroso and Catalina Anghel and Venkat Balagurusamy and Bare, \{Christopher J\} and Derek Beaton and Roberto Bellotti and Bennett, \{David A\} and Boehme, \{Kevin L\} and Boutros, \{Paul C\} and Laura Caberlotto and Cristian Caloian and Frederick Campbell and \{Chaibub Neto\}, Elias and Yu-Chuan Chang and Beibei Chen and Chien-Yu Chen and Ting-Ying Chien and Tim Clark and Sudeshna Das and Christos Davatzikos and Jieyao Deng and Donna Dillenberger and Dobson, \{Richard J B\} and Qilin Dong and Jimit Doshi and Denise Duma and Rosangela Errico and Guray Erus and Evan Everett and Fardo, \{David W\} and Friend, \{Stephen H\} and Holger Fr{\"o}hlich and Jessica Gan and \{St George-Hyslop\}, Peter and Ghosh, \{Satrajit S\} and Enrico Glaab and Green, \{Robert C\} and Yuanfang Guan and Ming-Yi Hong and Chao Huang and Jinseub Hwang and Joseph Ibrahim and Paolo Inglese and Anandhi Iyappan and Qijia Jiang and Yuriko Katsumata and Kauwe, \{John S K\} and Arno Klein and Yunyun Zhou",

year = "2016",

month = jun,

day = "1",

doi = "10.1016/j.jalz.2016.02.006",

language = "English",

volume = "12",

pages = "645--653",

journal = "Alzheimer's and Dementia",

issn = "1552-5260",

publisher = "John Wiley and Sons Inc.",

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}

Alzheimer's Disease Neuroimaging Initiative, Allen, GI, Amoroso, N, Anghel, C, Balagurusamy, V, Bare, CJ, Beaton, D, Bellotti, R, Bennett, DA, Boehme, KL, Boutros, PC, Caberlotto, L, Caloian, C, Campbell, F, Chaibub Neto, E, Chang, Y-C, Chen, B, Chen, C-Y, Chien, T-Y, Clark, T, Das, S, Davatzikos, C, Deng, J, Dillenberger, D, Dobson, RJB, Dong, Q, Doshi, J, Duma, D, Errico, R, Erus, G, Everett, E, Fardo, DW, Friend, SH, Fröhlich, H, Gan, J, St George-Hyslop, P, Ghosh, SS, Glaab, E, Green, RC, Guan, Y, Hong, M-Y, Huang, C, Hwang, J, Ibrahim, J, Inglese, P, Iyappan, A, Jiang, Q, Katsumata, Y, Kauwe, JSK, Klein, A & Zhou, Y 2016, 'Crowdsourced estimation of cognitive decline and resilience in Alzheimer's disease', Alzheimer's and Dementia, vol. 12, no. 6, pp. 645-653. https://doi.org/10.1016/j.jalz.2016.02.006

TY - JOUR

T1 - Crowdsourced estimation of cognitive decline and resilience in Alzheimer's disease

AU - Alzheimer's Disease Neuroimaging Initiative

AU - Allen, Genevera I

AU - Amoroso, Nicola

AU - Anghel, Catalina

AU - Balagurusamy, Venkat

AU - Bare, Christopher J

AU - Beaton, Derek

AU - Bellotti, Roberto

AU - Bennett, David A

AU - Boehme, Kevin L

AU - Boutros, Paul C

AU - Caberlotto, Laura

AU - Caloian, Cristian

AU - Campbell, Frederick

AU - Chaibub Neto, Elias

AU - Chang, Yu-Chuan

AU - Chen, Beibei

AU - Chen, Chien-Yu

AU - Chien, Ting-Ying

AU - Clark, Tim

AU - Das, Sudeshna

AU - Davatzikos, Christos

AU - Deng, Jieyao

AU - Dillenberger, Donna

AU - Dobson, Richard J B

AU - Dong, Qilin

AU - Doshi, Jimit

AU - Duma, Denise

AU - Errico, Rosangela

AU - Erus, Guray

AU - Everett, Evan

AU - Fardo, David W

AU - Friend, Stephen H

AU - Fröhlich, Holger

AU - Gan, Jessica

AU - St George-Hyslop, Peter

AU - Ghosh, Satrajit S

AU - Glaab, Enrico

AU - Green, Robert C

AU - Guan, Yuanfang

AU - Hong, Ming-Yi

AU - Huang, Chao

AU - Hwang, Jinseub

AU - Ibrahim, Joseph

AU - Inglese, Paolo

AU - Iyappan, Anandhi

AU - Jiang, Qijia

AU - Katsumata, Yuriko

AU - Kauwe, John S K

AU - Klein, Arno

AU - Zhou, Yunyun

PY - 2016/6/1

Y1 - 2016/6/1

N2 - 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.

AB - 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.

KW - Alzheimer Disease/complications

KW - Apolipoproteins E/genetics

KW - Biomarkers

KW - Cognition Disorders/diagnosis

KW - Computational Biology

KW - Databases, Bibliographic/statistics & numerical data

KW - Humans

KW - Predictive Value of Tests

UR - https://www.scopus.com/pages/publications/84966539175

U2 - 10.1016/j.jalz.2016.02.006

DO - 10.1016/j.jalz.2016.02.006

M3 - Article

C2 - 27079753

SN - 1552-5260

VL - 12

SP - 645

EP - 653

JO - Alzheimer's and Dementia

JF - Alzheimer's and Dementia

IS - 6

ER -

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

Abstract

Keywords

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