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 DasChristos 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

56 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

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

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10.1016/j.jalz.2016.02.006

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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

Allen, Genevera I. ; Amoroso, Nicola ; Anghel, Catalina ; Balagurusamy, Venkat ; Bare, Christopher J. ; Beaton, Derek ; Bellotti, Roberto ; Bennett, David A. ; Boehme, Kevin L. ; Boutros, Paul C. ; Caberlotto, Laura ; Caloian, Cristian ; Campbell, Frederick ; Chaibub Neto, Elias ; Chang, Yu Chuan ; Chen, Beibei ; Chen, Chien Yu ; Chien, Ting Ying ; Clark, Tim ; Das, Sudeshna ; Davatzikos, Christos ; Deng, Jieyao ; Dillenberger, Donna ; Dobson, Richard J.B. ; Dong, Qilin ; Doshi, Jimit ; Duma, Denise ; Errico, Rosangela ; Erus, Guray ; Everett, Evan ; Fardo, David W. ; Friend, Stephen H. ; Fröhlich, Holger ; Gan, Jessica ; St George-Hyslop, Peter ; Ghosh, Satrajit S. ; Glaab, Enrico ; Green, Robert C. ; Guan, Yuanfang ; Hong, Ming Yi ; Huang, Chao ; Hwang, Jinseub ; Ibrahim, Joseph ; Inglese, Paolo ; Iyappan, Anandhi ; Jiang, Qijia ; Katsumata, Yuriko ; Kauwe, John S.K. ; Klein, Arno ; Kong, Dehan ; Krause, Roland ; Lalonde, Emilie ; Lauria, Mario ; Lee, Eunjee ; Lin, Xihui ; Liu, Zhandong ; Livingstone, Julie ; Logsdon, Benjamin A. ; Lovestone, Simon ; Ma, Tsung Wei ; Malhotra, Ashutosh ; Mangravite, Lara M. ; Maxwell, Taylor J. ; Merrill, Emily ; Nagorski, John ; Namasivayam, Aishwarya ; Narayan, Manjari ; Naz, Mufassra ; Newhouse, Stephen J. ; Norman, Thea C. ; Nurtdinov, Ramil N. ; Oyang, Yen Jen ; Pawitan, Yudi ; Peng, Shengwen ; Peters, Mette A. ; Piccolo, Stephen R. ; Praveen, Paurush ; Priami, Corrado ; Sabelnykova, Veronica Y. ; Senger, Philipp ; Shen, Xia ; Simmons, Andrew ; Sotiras, Aristeidis ; Stolovitzky, Gustavo ; Tangaro, Sabina ; Tateo, Andrea ; Tung, Yi An ; Tustison, Nicholas J. ; Varol, Erdem ; Vradenburg, George ; Weiner, Michael W. ; Xiao, Guanghua ; Xie, Lei ; Xie, Yang ; Xu, Jia ; Yang, Hojin ; Zhan, Xiaowei ; Zhou, Yunyun ; Zhu, Fan ; Zhu, Hongtu ; Zhu, Shanfeng. / Crowdsourced estimation of cognitive decline and resilience in Alzheimer's disease. In: Alzheimer's and Dementia. 2016 ; Vol. 12, No. 6. pp. 645-653.

@article{0b1221415b4443d28fd6b9a81d30d60d,

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 = "Funding Information: Study data were provided by the following groups: (1) The Alzheimer's Disease Neuroimaging Initiative (ADNI)—ADNI is funded by the National Institutes of Health (U01 AG024904), the National Institute on Aging, the National Institute of Biomedical Imaging and Bioengineering and through generous contributions from the following: Alzheimer's Association; Alzheimer's Drug Discovery Foundation; BioClinica, Inc.; Biogen Idec Inc.; Bristol-Myers Squibb Company; Eisai Inc.; Elan Pharmaceuticals, Inc.; Eli Lilly and Company; F. Hoffmann-La Roche Ltd and its affiliated company Genentech, Inc.; GE Healthcare; Innogenetics, N.V.; IXICO Ltd.; Janssen Alzheimer Immunotherapy Research & Development, LLC.; Johnson & Johnson Pharmaceutical Research & Development LLC.; Medpace, Inc.; Merck & Co., Inc.; Meso Scale Diagnostics, LLC.; NeuroRx Research; Novartis Pharmaceuticals Corporation; Pfizer Inc.; Piramal Imaging; Servier; Synarc Inc.; and Takeda Pharmaceutical Company. The Canadian Institutes of Health Research is providing funds to support ADNI clinical sites in Canada. Private sector contributions are facilitated by the Foundation for the National Institutes of Health ( www.fnih.org ). The grantee organization is the Northern California Institute for Research and Education, and the study is coordinated by the Alzheimer's Disease Cooperative Study at the University of California, San Diego. ADNI data are disseminated by the Laboratory for Neuro Imaging at the University of Southern California. This research was also supported by NIH grants P30 AG010129 and K01 AG030514 . (2) The Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago—Data collection was supported through funding by NIA grants P30AG10161 , R01AG15819 , R01AG17917 , R01AG30146 , R01AG36836 , U01AG32984 , and U01AG46152 , the Illinois Department of Public Health, and the Translational Genomics Research Institute. (3) European AddNeuroMed study—The AddNeuroMed data are from a public-private partnership supported by EFPIA companies, SMEs and the EU under the FP6 programme. Clinical leads responsible for data collection are Iwona K{\l}oszewska (Lodz), Simon Lovestone (London), Patrizia Mecocci (Perugia), Hilkka Soininen (Kuopio), Magda Tsolaki (Thessaloniki), and Bruno Vellas (Toulouse). Funding Information: This study was supported by the following individuals and organizations: Alan Evans (McGill University), Gaurav Pandey (MSSM), Gil Rabinovici (UCSF), Kaj Blennow (G{\"o}teborg 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. 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",

journal = "Alzheimer's and Dementia",

issn = "1552-5260",

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

Crowdsourced estimation of cognitive decline and resilience in Alzheimer's disease. / Allen, Genevera I.; Amoroso, Nicola; Anghel, Catalina; Balagurusamy, Venkat; Bare, Christopher J.; Beaton, Derek; Bellotti, Roberto; Bennett, David A.; Boehme, Kevin L.; Boutros, Paul C.; Caberlotto, Laura; Caloian, Cristian; Campbell, Frederick; Chaibub Neto, Elias; Chang, Yu Chuan; Chen, Beibei; Chen, Chien Yu; Chien, Ting Ying; Clark, Tim; Das, Sudeshna; Davatzikos, Christos; Deng, Jieyao; Dillenberger, Donna; Dobson, Richard J.B.; Dong, Qilin; Doshi, Jimit; Duma, Denise; Errico, Rosangela; Erus, Guray; Everett, Evan; Fardo, David W.; Friend, Stephen H.; Fröhlich, Holger; Gan, Jessica; St George-Hyslop, Peter; Ghosh, Satrajit S.; Glaab, Enrico; Green, Robert C.; Guan, Yuanfang; Hong, Ming Yi; Huang, Chao; Hwang, Jinseub; Ibrahim, Joseph; Inglese, Paolo; Iyappan, Anandhi; Jiang, Qijia; Katsumata, Yuriko; Kauwe, John S.K.; Klein, Arno; Kong, Dehan; Krause, Roland; Lalonde, Emilie; Lauria, Mario; Lee, Eunjee; Lin, Xihui; Liu, Zhandong; Livingstone, Julie; Logsdon, Benjamin A.; Lovestone, Simon; Ma, Tsung Wei; Malhotra, Ashutosh; Mangravite, Lara M.; Maxwell, Taylor J.; Merrill, Emily; Nagorski, John; Namasivayam, Aishwarya; Narayan, Manjari; Naz, Mufassra; Newhouse, Stephen J.; Norman, Thea C.; Nurtdinov, Ramil N.; Oyang, Yen Jen; Pawitan, Yudi; Peng, Shengwen; Peters, Mette A.; Piccolo, Stephen R.; Praveen, Paurush; Priami, Corrado; Sabelnykova, Veronica Y.; Senger, Philipp; Shen, Xia; Simmons, Andrew; Sotiras, Aristeidis; Stolovitzky, Gustavo; Tangaro, Sabina; Tateo, Andrea; Tung, Yi An; Tustison, Nicholas J.; Varol, Erdem; Vradenburg, George; Weiner, Michael W.; Xiao, Guanghua; Xie, Lei; Xie, Yang; Xu, Jia; Yang, Hojin; Zhan, Xiaowei; Zhou, Yunyun; Zhu, Fan; Zhu, Hongtu; Zhu, Shanfeng.

In: Alzheimer's and Dementia, Vol. 12, No. 6, 01.06.2016, p. 645-653.

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

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

N1 - Funding Information: Study data were provided by the following groups: (1) The Alzheimer's Disease Neuroimaging Initiative (ADNI)—ADNI is funded by the National Institutes of Health (U01 AG024904), the National Institute on Aging, the National Institute of Biomedical Imaging and Bioengineering and through generous contributions from the following: Alzheimer's Association; Alzheimer's Drug Discovery Foundation; BioClinica, Inc.; Biogen Idec Inc.; Bristol-Myers Squibb Company; Eisai Inc.; Elan Pharmaceuticals, Inc.; Eli Lilly and Company; F. Hoffmann-La Roche Ltd and its affiliated company Genentech, Inc.; GE Healthcare; Innogenetics, N.V.; IXICO Ltd.; Janssen Alzheimer Immunotherapy Research & Development, LLC.; Johnson & Johnson Pharmaceutical Research & Development LLC.; Medpace, Inc.; Merck & Co., Inc.; Meso Scale Diagnostics, LLC.; NeuroRx Research; Novartis Pharmaceuticals Corporation; Pfizer Inc.; Piramal Imaging; Servier; Synarc Inc.; and Takeda Pharmaceutical Company. The Canadian Institutes of Health Research is providing funds to support ADNI clinical sites in Canada. Private sector contributions are facilitated by the Foundation for the National Institutes of Health ( www.fnih.org ). The grantee organization is the Northern California Institute for Research and Education, and the study is coordinated by the Alzheimer's Disease Cooperative Study at the University of California, San Diego. ADNI data are disseminated by the Laboratory for Neuro Imaging at the University of Southern California. This research was also supported by NIH grants P30 AG010129 and K01 AG030514 . (2) The Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago—Data collection was supported through funding by NIA grants P30AG10161 , R01AG15819 , R01AG17917 , R01AG30146 , R01AG36836 , U01AG32984 , and U01AG46152 , the Illinois Department of Public Health, and the Translational Genomics Research Institute. (3) European AddNeuroMed study—The AddNeuroMed data are from a public-private partnership supported by EFPIA companies, SMEs and the EU under the FP6 programme. Clinical leads responsible for data collection are Iwona Kłoszewska (Lodz), Simon Lovestone (London), Patrizia Mecocci (Perugia), Hilkka Soininen (Kuopio), Magda Tsolaki (Thessaloniki), and Bruno Vellas (Toulouse). Funding Information: 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. Publisher Copyright: © 2016 The Authors.

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 - http://www.scopus.com/inward/record.url?scp=84966539175&partnerID=8YFLogxK

U2 - 10.1016/j.jalz.2016.02.006

DO - 10.1016/j.jalz.2016.02.006

M3 - Article

C2 - 27079753

AN - SCOPUS:84966539175

VL - 12

SP - 645

EP - 653

JO - Alzheimer's and Dementia

JF - Alzheimer's and Dementia

SN - 1552-5260

IS - 6

ER -

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

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