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

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; Dehan Kong; Roland Krause; Emilie Lalonde; Mario Lauria; Eunjee Lee; Xihui Lin; Zhandong Liu; Julie Livingstone; Benjamin A. Logsdon; Simon Lovestone; Tsung Wei Ma; Ashutosh Malhotra; Lara M. Mangravite; Taylor J. Maxwell; Emily Merrill; John Nagorski; Aishwarya Namasivayam; Manjari Narayan; Mufassra Naz; Stephen J. Newhouse; Thea C. Norman; Ramil N. Nurtdinov; Yen Jen Oyang; Yudi Pawitan; Shengwen Peng; Mette A. Peters; Stephen R. Piccolo; Paurush Praveen; Corrado Priami; Veronica Y. Sabelnykova; Philipp Senger; Xia Shen; Andrew Simmons; Aristeidis Sotiras; Gustavo Stolovitzky; Sabina Tangaro; Andrea Tateo; Yi An Tung; Nicholas J. Tustison; Erdem Varol; George Vradenburg; Michael W. Weiner; Guanghua Xiao; Lei Xie; Yang Xie; Jia Xu; Hojin Yang; Xiaowei Zhan; Yunyun Zhou; Fan Zhu; Hongtu Zhu; Shanfeng Zhu

doi:10.1016/j.jalz.2016.02.006

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

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, Dehan Kong, Roland Krause, Emilie Lalonde, Mario Lauria, Eunjee Lee, Xihui Lin, Zhandong Liu, Julie Livingstone, Benjamin A. Logsdon, Simon Lovestone, Tsung Wei Ma, Ashutosh Malhotra, Lara M. Mangravite, Taylor J. Maxwell, Emily Merrill, John Nagorski, Aishwarya Namasivayam, Manjari Narayan, Mufassra Naz, Stephen J. Newhouse, Thea C. Norman, Ramil N. Nurtdinov, Yen Jen Oyang, Yudi Pawitan, Shengwen Peng, Mette A. Peters, Stephen R. Piccolo, Paurush Praveen, Corrado Priami, Veronica Y. Sabelnykova, Philipp Senger, Xia Shen, Andrew Simmons, Aristeidis Sotiras, Gustavo Stolovitzky, Sabina Tangaro, Andrea Tateo, Yi An Tung, Nicholas J. Tustison, Erdem Varol, George Vradenburg, Michael W. Weiner, Guanghua Xiao, Lei Xie, Yang Xie, Jia Xu, Hojin Yang, Xiaowei Zhan, Yunyun Zhou, Fan Zhu, Hongtu Zhu, Shanfeng Zhu

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

69 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

Bibliographical note

Publisher Copyright:
© 2016 The Authors.

Funding

This study was supported by the following individuals and organizations: Alan Evans (McGill University), Gaurav Pandey (MSSM), Gil Rabinovici (UCSF), Kaj Blennow (Göteborg University), Kristine Yaffe (UCSF), Maria Isaac (EMA), Nolan Nichols (University of Washington), Paul Thompson (UCLA), Reisa Sperling (Harvard), Scott Small (Columbia), Guy Eakin (BrightFocus Foundation), Maria Carillo (Alzheimer's Association), Neil Buckholz (NIA), Alzheimer's Research UK, European Medicines Agency, Global CEO Initiative on Alzheimer's Disease, Pfizer, Inc, Ray and Dagmar Dolby Family Fund, Rosenberg Alzheimer's Project, Sanofi S.A, and Takeda Pharmaceutical Company Ltd, USAgainstAlzheimer's.

Funders	Funder number
Alzheimer's Association
Alzheimer’s Research United Kingdom
Takeda Pharmaceuticals U.S.A.
University of California, Los Angeles
Harvard Transdisciplinary Research in Energetics and Cancer Center, Harvard University
McGill University
Neil Buckholz
Göteborg University
Maria Carillo
BrightFocus Foundation
The George Washington University
Guy Eakin
European Medicines Agency
National Institute of Mental Health	R01MH086633
National Institute on Aging	U01AG032984, R01AG042611, R01AG014971, U01AG046152, R01AG030146, K01AG030514, U01AG024904, P30AG010161, R01AG036836, R01AG017917, P30AG010129, K25AG043546, R01AG015819

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

Azheimer's disease
Big data
Bioinformatics
Biomarkers
Cognitive decline
Crowdsource
Genetics
Imaging

ASJC Scopus subject areas

Epidemiology
Health Policy
Developmental Neuroscience
Clinical Neurology
Geriatrics and Gerontology
Cellular and Molecular Neuroscience
Psychiatry and Mental health

Access to Document

10.1016/j.jalz.2016.02.006

Cite this

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., Clark, T., ... Zhu, S. (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{111acee19f9f403bb20cc22e0a5ddc76,

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 = "Azheimer's disease, Big data, Bioinformatics, Biomarkers, Cognitive decline, Crowdsource, Genetics, Imaging",

author = "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 Chang, \{Yu Chuan\} and Beibei Chen and Chen, \{Chien Yu\} and Chien, \{Ting Ying\} 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 Hong, \{Ming Yi\} 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 Dehan Kong and Roland Krause and Emilie Lalonde and Mario Lauria and Eunjee Lee and Xihui Lin and Zhandong Liu and Julie Livingstone and Logsdon, \{Benjamin A.\} and Simon Lovestone and Ma, \{Tsung Wei\} and Ashutosh Malhotra and Mangravite, \{Lara M.\} and Maxwell, \{Taylor J.\} and Emily Merrill and John Nagorski and Aishwarya Namasivayam and Manjari Narayan and Mufassra Naz and Newhouse, \{Stephen J.\} and Norman, \{Thea C.\} and Nurtdinov, \{Ramil N.\} and Oyang, \{Yen Jen\} and Yudi Pawitan and Shengwen Peng and Peters, \{Mette A.\} and Piccolo, \{Stephen R.\} and Paurush Praveen and Corrado Priami and Sabelnykova, \{Veronica Y.\} and Philipp Senger and Xia Shen and Andrew Simmons and Aristeidis Sotiras and Gustavo Stolovitzky and Sabina Tangaro and Andrea Tateo and Tung, \{Yi An\} and Tustison, \{Nicholas J.\} and Erdem Varol and George Vradenburg and Weiner, \{Michael W.\} and Guanghua Xiao and Lei Xie and Yang Xie and Jia Xu and Hojin Yang and Xiaowei Zhan and Yunyun Zhou and Fan Zhu and Hongtu Zhu and Shanfeng Zhu",

note = "Publisher Copyright: {\textcopyright} 2016 The Authors.",

year = "2016",

month = jun,

day = "1",

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

language = "English",

volume = "12",

pages = "645--653",

number = "6",

}

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, YC, Chen, B, Chen, CY, Chien, TY, 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, MY, Huang, C, Hwang, J, Ibrahim, J, Inglese, P, Iyappan, A, Jiang, Q, Katsumata, Y, Kauwe, JSK, Klein, A, Kong, D, Krause, R, Lalonde, E, Lauria, M, Lee, E, Lin, X, Liu, Z, Livingstone, J, Logsdon, BA, Lovestone, S, Ma, TW, Malhotra, A, Mangravite, LM, Maxwell, TJ, Merrill, E, Nagorski, J, Namasivayam, A, Narayan, M, Naz, M, Newhouse, SJ, Norman, TC, Nurtdinov, RN, Oyang, YJ, Pawitan, Y, Peng, S, Peters, MA, Piccolo, SR, Praveen, P, Priami, C, Sabelnykova, VY, Senger, P, Shen, X, Simmons, A, Sotiras, A, Stolovitzky, G, Tangaro, S, Tateo, A, Tung, YA, Tustison, NJ, Varol, E, Vradenburg, G, Weiner, MW, Xiao, G, Xie, L, Xie, Y, Xu, J, Yang, H, Zhan, X, Zhou, Y, Zhu, F, Zhu, H & Zhu, S 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 - 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 - Kong, Dehan

AU - Krause, Roland

AU - Lalonde, Emilie

AU - Lauria, Mario

AU - Lee, Eunjee

AU - Lin, Xihui

AU - Liu, Zhandong

AU - Livingstone, Julie

AU - Logsdon, Benjamin A.

AU - Lovestone, Simon

AU - Ma, Tsung Wei

AU - Malhotra, Ashutosh

AU - Mangravite, Lara M.

AU - Maxwell, Taylor J.

AU - Merrill, Emily

AU - Nagorski, John

AU - Namasivayam, Aishwarya

AU - Narayan, Manjari

AU - Naz, Mufassra

AU - Newhouse, Stephen J.

AU - Norman, Thea C.

AU - Nurtdinov, Ramil N.

AU - Oyang, Yen Jen

AU - Pawitan, Yudi

AU - Peng, Shengwen

AU - Peters, Mette A.

AU - Piccolo, Stephen R.

AU - Praveen, Paurush

AU - Priami, Corrado

AU - Sabelnykova, Veronica Y.

AU - Senger, Philipp

AU - Shen, Xia

AU - Simmons, Andrew

AU - Sotiras, Aristeidis

AU - Stolovitzky, Gustavo

AU - Tangaro, Sabina

AU - Tateo, Andrea

AU - Tung, Yi An

AU - Tustison, Nicholas J.

AU - Varol, Erdem

AU - Vradenburg, George

AU - Weiner, Michael W.

AU - Xiao, Guanghua

AU - Xie, Lei

AU - Xie, Yang

AU - Xu, Jia

AU - Yang, Hojin

AU - Zhan, Xiaowei

AU - Zhou, Yunyun

AU - Zhu, Fan

AU - Zhu, Hongtu

AU - Zhu, Shanfeng

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 - Azheimer's disease

KW - Big data

KW - Bioinformatics

KW - Biomarkers

KW - Cognitive decline

KW - Crowdsource

KW - Genetics

KW - Imaging

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

UR - https://www.scopus.com/pages/publications/84966539175#tab=citedBy

U2 - 10.1016/j.jalz.2016.02.006

DO - 10.1016/j.jalz.2016.02.006

M3 - Article

C2 - 27079753

AN - SCOPUS:84966539175

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

Bibliographical note

Funding

UN SDGs

Keywords

ASJC Scopus subject areas

Access to Document

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