Global Biobank Meta-analysis Initiative: Powering genetic discovery across human disease
- Zhou, Wei
- Kanai, Masahiro
- Wu, Kuan Han H.
- Rasheed, Humaira
- Tsuo, Kristin
- Hirbo, Jibril B.
- Wang, Ying
- Bhattacharya, Arjun
- Zhao, Huiling
- Namba, Shinichi
- Surakka, Ida
- Wolford, Brooke N.
- Lo Faro, Valeria
- Lopera-Maya, Esteban A.
- Läll, Kristi
- Favé, Marie Julie
- Partanen, Juulia J.
- Chapman, Sinéad B.
- Karjalainen, Juha
- Kurki, Mitja
- Maasha, Mutaamba
- Brumpton, Ben M.
- Chavan, Sameer
- Chen, Tzu Ting
- Daya, Michelle
- Ding, Yi
- Feng, Yen Chen A.
- Guare, Lindsay A.
- Gignoux, Christopher R.
- Graham, Sarah E.
- Hornsby, Whitney E.
- Ingold, Nathan
- Ismail, Said I.
- Johnson, Ruth
- Laisk, Triin
- Lin, Kuang
- Lv, Jun
- Millwood, Iona Y.
- Moreno-Grau, Sonia
- Nam, Kisung
- Palta, Priit
- Pandit, Anita
- Preuss, Michael H.
- Saad, Chadi
- Setia-Verma, Shefali
- Thorsteinsdottir, Unnur
- Uzunovic, Jasmina
- Verma, Anurag
- Zawistowski, Matthew
- Zhong, Xue
- Afifi, Nahla
- Al-Dabhani, Kawthar M.
- Al Thani, Asma
- Bradford, Yuki
- Campbell, Archie
- Crooks, Kristy
- de Bock, Geertruida H.
- Damrauer, Scott M.
- Douville, Nicholas J.
- Finer, Sarah
- Fritsche, Lars G.
- Fthenou, Eleni
- Gonzalez-Arroyo, Gilberto
- Griffiths, Christopher J.
- Guo, Yu
- Hunt, Karen A.
- Ioannidis, Alexander
- Jansonius, Nomdo M.
- Konuma, Takahiro
- Lee, Ming Ta Michael
- Lopez-Pineda, Arturo
- Matsuda, Yuta
- Marioni, Riccardo E.
- Moatamed, Babak
- Nava-Aguilar, Marco A.
- Numakura, Kensuke
- Patil, Snehal
- Rafaels, Nicholas
- Richmond, Anne
- Rojas-Muñoz, Agustin
- Shortt, Jonathan A.
- Straub, Peter
- Tao, Ran
- Vanderwerff, Brett
- Vernekar, Manvi
- Veturi, Yogasudha
- Barnes, Kathleen C.
- Boezen, Marike
- Chen, Zhengming
- Chen, Chia Yen
- Cho, Judy
- Smith, George Davey
- Finucane, Hilary K.
- Franke, Lude
- Gamazon, Eric R.
- Ganna, Andrea
- Gaunt, Tom R.
- Ge, Tian
- Huang, Hailiang
- Huffman, Jennifer
- Katsanis, Nicholas
- Koskela, Jukka T.
- Lajonchere, Clara
- Law, Matthew H.
- Li, Liming
- Lindgren, Cecilia M.
- Loos, Ruth J.F.
- MacGregor, Stuart
- Matsuda, Koichi
- Olsen, Catherine M.
- Porteous, David J.
- Shavit, Jordan A.
- Snieder, Harold
- Takano, Tomohiro
- Trembath, Richard C.
- Vonk, Judith M.
- Whiteman, David C.
- Wicks, Stephen J.
- Wijmenga, Cisca
- Wright, John
- Zheng, Jie
- Zhou, Xiang
- Awadalla, Philip
- Boehnke, Michael
- Bustamante, Carlos D.
- Cox, Nancy J.
- Fatumo, Segun
- Geschwind, Daniel H.
- Hayward, Caroline
- Hveem, Kristian
- Kenny, Eimear E.
- Lee, Seunggeun
- Lin, Yen Feng
- Mbarek, Hamdi
- Mägi, Reedik
- Martin, Hilary C.
- Medland, Sarah E.
- Okada, Yukinori
- Palotie, Aarno V.
- Pasaniuc, Bogdan
- Rader, Daniel J.
- Ritchie, Marylyn D.
- Sanna, Serena
- Smoller, Jordan W.
- Stefansson, Kari
- van Heel, David A.
- Walters, Robin G.
- Zöllner, Sebastian
- Martin, Alicia R.
- Willer, Cristen J.
- Daly, Mark J.
- Neale, Benjamin M.
- other, and
DOIAbstract
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, recruitme...
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