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Global Biobank Meta-analysis Initiative: Powering genetic discovery across human disease

Authors :
Wei Zhou
Masahiro Kanai
Kuan-Han H. Wu
Humaira Rasheed
Kristin Tsuo
Jibril B. Hirbo
Ying Wang
Arjun Bhattacharya
Huiling Zhao
Shinichi Namba
Ida Surakka
Brooke N. Wolford
Valeria Lo Faro
Esteban A. Lopera-Maya
Kristi Läll
Marie-Julie Favé
Juulia J. Partanen
Sinéad B. Chapman
Juha Karjalainen
Mitja Kurki
Mutaamba Maasha
Ben M. Brumpton
Sameer Chavan
Tzu-Ting Chen
Michelle Daya
Yi Ding
Yen-Chen A. Feng
Lindsay A. Guare
Christopher R. Gignoux
Sarah E. Graham
Whitney E. Hornsby
Nathan Ingold
Said I. Ismail
Ruth Johnson
Triin Laisk
Kuang Lin
Jun Lv
Iona Y. Millwood
Sonia Moreno-Grau
Kisung Nam
Priit Palta
Anita Pandit
Michael H. Preuss
Chadi Saad
Shefali Setia-Verma
Unnur Thorsteinsdottir
Jasmina Uzunovic
Anurag Verma
Matthew Zawistowski
Xue Zhong
Nahla Afifi
Kawthar M. Al-Dabhani
Asma Al Thani
Yuki Bradford
Archie Campbell
Kristy Crooks
Geertruida H. de Bock
Scott M. Damrauer
Nicholas J. Douville
Sarah Finer
Lars G. Fritsche
Eleni Fthenou
Gilberto Gonzalez-Arroyo
Christopher J. Griffiths
Yu Guo
Karen A. Hunt
Alexander Ioannidis
Nomdo M. Jansonius
Takahiro Konuma
Ming Ta Michael Lee
Arturo Lopez-Pineda
Yuta Matsuda
Riccardo E. Marioni
Babak Moatamed
Marco A. Nava-Aguilar
Kensuke Numakura
Snehal Patil
Nicholas Rafaels
Anne Richmond
Agustin Rojas-Muñoz
Jonathan A. Shortt
Peter Straub
Ran Tao
Brett Vanderwerff
Manvi Vernekar
Yogasudha Veturi
Kathleen C. Barnes
Marike Boezen
Zhengming Chen
Chia-Yen Chen
Judy Cho
George Davey Smith
Hilary K. Finucane
Lude Franke
Eric R. Gamazon
Andrea Ganna
Tom R. Gaunt
Tian Ge
Hailiang Huang
Jennifer Huffman
Nicholas Katsanis
Jukka T. Koskela
Clara Lajonchere
Matthew H. Law
Liming Li
Cecilia M. Lindgren
Ruth J.F. Loos
Stuart MacGregor
Koichi Matsuda
Catherine M. Olsen
David J. Porteous
Jordan A. Shavit
Harold Snieder
Tomohiro Takano
Richard C. Trembath
Judith M. Vonk
David C. Whiteman
Stephen J. Wicks
Cisca Wijmenga
John Wright
Jie Zheng
Xiang Zhou
Philip Awadalla
Michael Boehnke
Carlos D. Bustamante
Nancy J. Cox
Segun Fatumo
Daniel H. Geschwind
Caroline Hayward
Kristian Hveem
Eimear E. Kenny
Seunggeun Lee
Yen-Feng Lin
Hamdi Mbarek
Reedik Mägi
Hilary C. Martin
Sarah E. Medland
Yukinori Okada
Aarno V. Palotie
Bogdan Pasaniuc
Daniel J. Rader
Marylyn D. Ritchie
Serena Sanna
Jordan W. Smoller
Kari Stefansson
David A. van Heel
Robin G. Walters
Sebastian Zöllner
Alicia R. Martin
Cristen J. Willer
Mark J. Daly
Benjamin M. Neale
Samuli Olli Ripatti / Principal Investigator
University of Helsinki
Institute for Molecular Medicine Finland
Complex Disease Genetics
Genomics of Neurological and Neuropsychiatric Disorders
Data Science Genetic Epidemiology Lab
Centre of Excellence in Complex Disease Genetics
Aarno Palotie / Principal Investigator
​Basic and Translational Research and Imaging Methodology Development in Groningen (BRIDGE)
Life Course Epidemiology (LCE)
Damage and Repair in Cancer Development and Cancer Treatment (DARE)
Perceptual and Cognitive Neuroscience (PCN)
Groningen Research Institute for Asthma and COPD (GRIAC)
Stem Cell Aging Leukemia and Lymphoma (SALL)
Groningen Institute for Gastro Intestinal Genetics and Immunology (3GI)
Source :
Cell Genomics, Hayward, C, Campbell, A, Porteous, D J, Richmond, A & Marioni, R E 2022, ' Global Biobank Meta-analysis Initiative: powering genetic discovery across human disease ', Cell Genomics . https://doi.org/10.1016/j.xgen.2022.100192, Cell Genomics, 2(10):100192, Zhou, W, Kanai, M, Wu, K H H, Rasheed, H, Tsuo, K, Hirbo, J B, Wang, Y, Bhattacharya, A, Zhao, H, Namba, S, Surakka, I, Wolford, B N, Lo Faro, V, Lopera-Maya, E A, Läll, K, Favé, M J, Partanen, J J, Chapman, S B, Karjalainen, J, Kurki, M, Maasha, M, Brumpton, B M, Chavan, S, Chen, T T, Daya, M, Ding, Y, Feng, Y C A, Guare, L A, Gignoux, C R, Graham, S E, Hornsby, W E, Ingold, N, Ismail, S I, Johnson, R, Laisk, T, Lin, K, Lv, J, Millwood, I Y, Moreno-Grau, S, Nam, K, Palta, P, Pandit, A, Preuss, M H, Saad, C, Setia-Verma, S, Thorsteinsdottir, U, Uzunovic, J, Verma, A, Zawistowski, M, Loos, R J F, deCODE Genetics, Estonian Biobank, FinnGen, Generation Scotland, Genes & Health Research Team, LifeLines, Mass General Brigham Biobank, Michigan Genomics Initiative, National Biobank of Korea, Penn Medicine BioBank, Qatar Biobank, The QSkin Sun and Health Study, Taiwan Biobank, The HUNT Study, UCLA ATLAS Community Health Initiative, Uganda Genome Resource, UK Biobank, Biobank of the Americas, BioBank Japan Project, BioMe, BioVU, CanPath-Ontario Health Study, China Kadoorie Biobank Collaborative Group & Colorado Center for Personalized Medicine 2022, ' Global Biobank Meta-analysis Initiative : Powering genetic discovery across human disease ', Cell Genomics, vol. 2, no. 10, 100192 . https://doi.org/10.1016/j.xgen.2022.100192
Publication Year :
2022
Publisher :
Elsevier BV, 2022.

Abstract

Funding Information: The work of the contributing biobanks was supported by numerous grants from governmental and charitable bodies. Biobank-specific acknowledgments and more detailed acknowledgments are included in Data S2. Initiative management, S.B.C. J.C. N.J.C. M.J.D. E.E.K. A.R.M. B.M.N. Y.O. A.V.P. D.A.v.H. R.G.W. C.J.W. W.Z. and S.Z.; individual biobank analysis, A.B. Y.B. B.M.B. C.D.B. S.C. T.-T.C. K.C. S.M.D. M.D. G.H.d.B. Y.D. N.J.D. M.-J.F. Y.-C.A.F. S.F. V.L.F. L.G.F. E.R.G. T.R.G. D.H.G. C.R.G. G.G.-A. S.E.G. L.A.G. C.H. J.B.H. W.E.H. H.H. K.H. N.I. A.I. R.J. M. Kurki, J.K. N.K. E.E.K. J.T.K. M. Kanai, T.L. K.L. M.H.L. S.L. K.L. Y.-F.L. V.L.F. R.J.F.L. E.A.L.-M. A.R.-M. S.M.-G. R.M. R.E.M. H.C.M. A.R.M. Y.M. H.M. S.E.M. I.Y.M. B.M. S.M. K.N. S.N. M.A.N.-A. K.N. Y.O. P.P. A.L.-P. A.P. B.P. S.P. M.H.P. D.J.R. N.R. M.D.R. A.R. C.S. S.S. S.S.S. J.A.S. P.S. I.S. T.T. R.T. K.T. J.U. D.A.v.H. B.V. M.V. Y.V. J.M.V. R.G.W. Y.W. S.J.W. B.N.W. K.-H.H.W. M.Z. X.Z. and S.Z.; individual biobank management, N.A. A.A.T. K.M.A.-D. P.A. K.C.B. M. Boehnke, M. Boezen, C.D.B. A.C. Z.C. C.-Y.C. J.C. N.J.C. S.M.D. S.F. Y.-C.A.F. S.F. E.F. T.G. C.R.G. C.J.G. Y.G. H.H. K.A.H. K.H. S.I.I. N.M.J. N.K. E.E.K. J.T.K. C.L. M.H.L. M.T.M.L. L.L. K.L. Y.-F.L. R.J.F.L. J.L. S.M. Y.M. K.M. I.Y.M. Y.O. C.M.O. A.V.P. B.P. D.J.P. D.J.R. M.D.R. S.S. J.W.S. H.S. K.S. T.T. U.T. R.C.T. D.A.v.H. M.V. R.G.W. D.C.W. C.W. J.W. M.Z. X.Z. and S.Z.; study design and interpretation of results, A.B. M. Boehnke, M. Boezen, B.M.B. T.-T.C. C.-Y.C. M.J.D. G.D.S. N.J.D. S.F. M.-J.F. H.K.F. E.R.G. A.G. T.G. J.B.H. J.H. K.H. R.J. M.K. E.E.K. T.K. C.M.L. V.L.F. E.A.L.-M. A.R.M. S.N. B.M.N. C.M.O. J.J.P. B.P. N.R. H.R. J.A.S. I.S. K.T. D.A.v.H. R.G.W. Y.W. D.C.W. S.J.W. C.J.W. B.N.W. J.W. K.-H.H.W. M.Z. H.Z. J.Z. W.Z. X.Z. and S.Z.; drafted and edited the paper, A.B. M. Boehnke, M. Boezen, M.J.D. G.H.d.B. N.J.D. T.R.G. J.B.H. N.I. N.M.J. M.K. V.L.F. S.M. A.R.M. H.M. S.N. B.M.N. C.M.O. B.P. H.R. C.S. J.A.S. J.W.S. K.T. Y.W. D.C.W. C.J.W. K.-H.H.W. H.Z. J.Z. W.Z. and S.Z.; primary meta-analysis and quality control, M.J.D. H.K.F. M. Kanai, J.K. J.T.K. M. Kurki, M.M. B.M.N. C.J.W. K.-H.H.W. and W.Z.; drug discovery: S.N. T.K. K.-H.H.W. W.Z. and Y.O.; fine mapping, M. Kanai, W.Z. M.J.D. and H.K.F.; polygenic risk score, Y.W. S.N. E.A.L.-M. S.K. K.T. K.L. M. Kanai, W.Z. K.W. M.-J.F. L.B. P.A. P.D. V.L.F. R.M. Y.M. B.B. S.S. J.U. E.R.G. N.J.C. I.S. Y.O. A.R.M. and J.B.H.; proteome-wide Mendelian randomization, H.Z. H.R. A.B. G.H. G.D.S. B.M.B. W.Z. B.M.N. T.R.G. and J.Z.; transcriptome-wide association study, A.B. J.B.H. W.Z. J.Z. M. Kanai, B.P. E.R.G. and N.J.C.; asthma, K.T. W.Z. Y.W. M. Kanai, S.N. Y.O. B.M.N. M.J.D. and A.R.M.; heart failure, K.-H.H.W. N.J.D. B.N.W. I.S. S.E.G. J.B.H. N.J.C. M.P. R.J.F.L. M.J.D. B.M.N. W.Z. W.E.H. and C.J.W.; idiopathic pulmonary fibrosis, J.J.P. W.Z. M.J.D. J.T.K. N.J.C. and J.B.H.; primary open-angle glaucoma, V.L.F. A.B. W.Z. Y.W. K.L. M. Kanai, E.A.L.-M. P.S. R.T. X.Z. S.N. S.S. Y.O. N.I. S.M. H.S. I.S. C.W. A.R.M. E.R.G. N.M.J. N.J.C. and J.B.H.; stroke, I.S. K.-H.H.W. W.H. B.N.W. W.Z. J.E.H. A.P. B.B. A.H.S. M.E.G. R.G.W. K.H. C.K. S.Z. M.J.D. B.M.N. and C.J.W.; venous thromboembolism, B.N.W. I.S. K.-H.H.W. B.B. V.L.F. K.T. M.D. B.N. W.Z. J.A.S. and C.J.W. All authors reviewed the manuscript. M.J.D. is a founder of Maze Therapeutics. B.M.N. is a member of the scientific advisory board at Deep Genomics and a consultant for Camp4 Therapeutics, Takeda Pharmaceutical, and Biogen. The spouse of C.J.W. works at Regeneron Pharmaceuticals. C.-Y.C. is employed by Biogen. C.R.G. owns stock in 23andMe, Inc. T.R.G. has received research funding from various pharmaceutical companies to support the application of Mendelian randomization to drug target prioritization. E.E.K. has received speaker fees from Regeneron, Illumina, and 23andMe and is a member of the advisory board for Galateo Bio. R.E.M. has received speaker fees from Illumina and is a scientific advisor to the Epigenetic Clock Development Foundation. G.D.S. has received research funding from various pharmaceutical companies to support the application of Mendelian randomization to drug target prioritization. K.S. and U.T. are employed by deCODE Genetics/Amgen, Inc. J.Z. has received research funding from various pharmaceutical companies to support the application of Mendelian randomization to drug target prioritization. S.M. is a co-founder of and holds stock in Seonix Bio. Publisher Copyright: © 2022 Biobanks facilitate genome-wide association studies (GWASs), which have mapped genomic loci across a range of human diseases and traits. However, most biobanks are primarily composed of individuals of European ancestry. We introduce the Global Biobank Meta-analysis Initiative (GBMI)—a collaborative network of 23 biobanks from 4 continents representing more than 2.2 million consented individuals with genetic data linked to electronic health records. GBMI meta-analyzes summary statistics from GWASs generated using harmonized genotypes and phenotypes from member biobanks for 14 exemplar diseases and endpoints. This strategy validates that GWASs conducted in diverse biobanks can be integrated despite heterogeneity in case definitions, recruitment strategies, and baseline characteristics. This collaborative effort improves GWAS power for diseases, benefits understudied diseases, and improves risk prediction while also enabling the nomination of disease genes and drug candidates by incorporating gene and protein expression data and providing insight into the underlying biology of human diseases and traits.

Details

ISSN :
2666979X
Volume :
2
Database :
OpenAIRE
Journal :
Cell Genomics
Accession number :
edsair.doi.dedup.....dab7ca3dc8eaeca9b05a8499acc7187b