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

Wei Zhou, Masahiro Kanai, Kuan-Han Wu, Humaira Rasheed, Kristin Tsuo, Jibril 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 Partanen, Sinéad B. Chapman, Juha Karjalainen, Mitja Kurki, Mutaamba Maasha, Ben Brumpton, Sameer Chavan, Tzu‐Ting Chen, Michelle Daya, Yi Ding, Yen‐Chen Anne Feng, Lindsay Guare, Christopher R. Gignoux, Sarah E. Graham, Whitney 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 Preuß, Chadi Saad, Shefali Setia-Verma, Unnur Þorsteinsdóttir, Jasmina Uzunović, Anurag Verma, Matthew Zawistowski, Xue Zhong, Nahla Afifi, Kawthar 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, Chris 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 Shortt, Péter Straub, Ran Tao, Brett Vanderwerff, Manvi Vernekar, Yogasudha Veturi, Kathleen C. Barnes, Marike Boezen, Zhengming Chen, Chia‐Yen Chen, Judy H. Cho, George Davey Smith, Hilary K. Finucane, Lude Franke, Eric R. Gamazon, Andrea Ganna, Tom R. Gaunt, Tian Ge, Hailiang Huang, Jennifer E. Huffman

Cell Genomics · 2022

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Summary

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

Source type: Peer-reviewed study
DOI: 10.1016/j.xgen.2022.100192
Catalogue ID: BFmoef2ocf-3gbuf3

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