Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2022 Oct 12;2(10):100192.
doi: 10.1016/j.xgen.2022.100192.

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

Wei Zhou  1   2   3 Masahiro Kanai  1   2   3   4   5 Kuan-Han H Wu  6 Humaira Rasheed  7   8   9 Kristin Tsuo  1   2   3 Jibril B Hirbo  10   11 Ying Wang  1   2   3 Arjun Bhattacharya  12 Huiling Zhao  9 Shinichi Namba  5 Ida Surakka  13 Brooke N Wolford  6   7 Valeria Lo Faro  14   15   16 Esteban A Lopera-Maya  17 Kristi Läll  18 Marie-Julie Favé  19 Juulia J Partanen  20 Sinéad B Chapman  2   3 Juha Karjalainen  1   2   3   20 Mitja Kurki  1   2   3   20 Mutaamba Maasha  1   2   3   20 Ben M Brumpton  7   21   22 Sameer Chavan  23 Tzu-Ting Chen  24 Michelle Daya  23 Yi Ding  12   25 Yen-Chen A Feng  26 Lindsay A Guare  27 Christopher R Gignoux  23 Sarah E Graham  13 Whitney E Hornsby  13 Nathan Ingold  28   29 Said I Ismail  30 Ruth Johnson  31   12 Triin Laisk  18 Kuang Lin  32 Jun Lv  33 Iona Y Millwood  32   34 Sonia Moreno-Grau  35 Kisung Nam  36 Priit Palta  18   20 Anita Pandit  37 Michael H Preuss  38 Chadi Saad  30 Shefali Setia-Verma  39 Unnur Thorsteinsdottir  40 Jasmina Uzunovic  19 Anurag Verma  41   42 Matthew Zawistowski  37 Xue Zhong  10   11 Nahla Afifi  43 Kawthar M Al-Dabhani  43 Asma Al Thani  43 Yuki Bradford  27 Archie Campbell  44 Kristy Crooks  23 Geertruida H de Bock  45 Scott M Damrauer  27   42   46 Nicholas J Douville  47   48 Sarah Finer  49 Lars G Fritsche  37 Eleni Fthenou  43 Gilberto Gonzalez-Arroyo  35   50 Christopher J Griffiths  49 Yu Guo  51 Karen A Hunt  52 Alexander Ioannidis  35   53 Nomdo M Jansonius  14 Takahiro Konuma  5   54 Ming Ta Michael Lee  35 Arturo Lopez-Pineda  35   50 Yuta Matsuda  55 Riccardo E Marioni  44 Babak Moatamed  35 Marco A Nava-Aguilar  35   50 Kensuke Numakura  55 Snehal Patil  37 Nicholas Rafaels  23 Anne Richmond  56 Agustin Rojas-Muñoz  35 Jonathan A Shortt  23 Peter Straub  10   11 Ran Tao  11   57 Brett Vanderwerff  37 Manvi Vernekar  55 Yogasudha Veturi  27 Kathleen C Barnes  23 Marike Boezen  45 Zhengming Chen  32   34 Chia-Yen Chen  58 Judy Cho  38 George Davey Smith  9   59 Hilary K Finucane  1   2   3 Lude Franke  17 Eric R Gamazon  10   11   60 Andrea Ganna  1   2   20 Tom R Gaunt  9   59 Tian Ge  61   62 Hailiang Huang  1   2 Jennifer Huffman  63 Nicholas Katsanis  35 Jukka T Koskela  20 Clara Lajonchere  64   65 Matthew H Law  28   29 Liming Li  33 Cecilia M Lindgren  66 Ruth J F Loos  38   67 Stuart MacGregor  28 Koichi Matsuda  68 Catherine M Olsen  28 David J Porteous  44 Jordan A Shavit  69   70 Harold Snieder  45 Tomohiro Takano  55 Richard C Trembath  71 Judith M Vonk  45 David C Whiteman  28 Stephen J Wicks  23 Cisca Wijmenga  17 John Wright  72 Jie Zheng  9 Xiang Zhou  37 Philip Awadalla  19   73 Michael Boehnke  37 Carlos D Bustamante  35   53   74 Nancy J Cox  10   11 Segun Fatumo  75   76   77 Daniel H Geschwind  64   78   79 Caroline Hayward  56 Kristian Hveem  7   21 Eimear E Kenny  80 Seunggeun Lee  36 Yen-Feng Lin  24   81   82 Hamdi Mbarek  30 Reedik Mägi  18 Hilary C Martin  83 Sarah E Medland  28 Yukinori Okada  5   84   85   86   87 Aarno V Palotie  1   2   20 Bogdan Pasaniuc  12   25   64   78   88 Daniel J Rader  27   41 Marylyn D Ritchie  27 Serena Sanna  17   89 Jordan W Smoller  61   62 Kari Stefansson  40 David A van Heel  52 Robin G Walters  32   34 Sebastian Zöllner  37 Biobank of the AmericasBiobank Japan ProjectBioMeBioVUCanPath - Ontario Health StudyChina Kadoorie Biobank Collaborative GroupColorado Center for Personalized MedicinedeCODE GeneticsEstonian BiobankFinnGenGeneration ScotlandGenes & Health Research TeamLifeLinesMass General Brigham BiobankMichigan Genomics InitiativeNational Biobank of KoreaPenn Medicine BioBankQatar BiobankQSkin Sun and Health StudyTaiwan BiobankHUNT StudyUCLA ATLAS Community Health InitiativeUganda Genome ResourceUK BiobankAlicia R Martin  1   2   3 Cristen J Willer  6   13   70 Mark J Daly  1   2   3   20 Benjamin M Neale  1   2   3
Affiliations

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

Wei Zhou et al. Cell Genom. .

Abstract

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.

Keywords: GWAS; ancestry diversity; biobank; genetic association studies; meta-analysis; phenotype harmonization.

PubMed Disclaimer

Conflict of interest statement

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.

Figures

None
Graphical abstract
Figure 1
Figure 1
23 biobanks across four continents have joined GBMI as of April 2022, bringing the total number of samples with matched health data and genotypes to more than 2.2 million Biobanks are colored based on the sample recruiting strategies.
Figure 2
Figure 2
Seven collaboration principles in GBMI
Figure 3
Figure 3
GBMI incorporates biobanks with diverse sample ancestry into genetic studies Biobanks’ participants were projected to the same principal component (PC) space using the pre-computed loadings of genetic markers.
Figure 4
Figure 4
Workflow of the flagship project in GBMI
Figure 5
Figure 5
All-biobank meta-analyses for the 14 endpoints have successfully replicated 317 previously reported loci and identified 183 novel loci (A) Number of loci was plotted for each endpoint (left panel) against the effective sample sizes 1/(4/cases + 4/controls) colored by the sample ancestry (right panel). (B) Top hits spread over the entire allele frequency spectrum. Phenotypes are in ascending order by the effective sample sizes. One marker with beta >5 is not shown. Gene names are labeled for the novel loci with protein-coding index variants.

References

    1. MacArthur J., Bowler E., Cerezo M., Gil L., Hall P., Hastings E., Junkins H., McMahon A., Milano A., Morales J., et al. The new NHGRI-EBI Catalog of published genome-wide association studies (GWAS Catalog) Nucleic Acids Res. 2017;45:D896–D901. doi: 10.1093/nar/gkw1133. - DOI - PMC - PubMed
    1. Bowton E., Field J.R., Wang S., Schildcrout J.S., Van Driest S.L., Delaney J.T., Cowan J., Weeke P., Mosley J.D., Wells Q.S., et al. Biobanks and electronic medical records: enabling cost-effective research. Sci. Transl. Med. 2014;6:234cm3. doi: 10.1126/scitranslmed.3008604. - DOI - PMC - PubMed
    1. Wolford B.N., Willer C.J., Surakka I. Electronic health records: the next wave of complex disease genetics. Hum. Mol. Genet. 2018;27:R14–R21. doi: 10.1093/hmg/ddy081. - DOI - PMC - PubMed
    1. Fatumo S., Mugisha J., Soremekun O.S., Kalungi A., Mayanja R., Kintu C., Makanga R., Kakande A., Abaasa A., Asiki G., et al. Uganda Genome Resource: a rich research database for genomic studies of communicable and non-communicable diseases in Africa. bioRxiv. 2022 doi: 10.1101/2022.05.05.22274740. Preprint at. Published online May 7. - DOI - PMC - PubMed
    1. 1000 Genomes Project Consortium. Auton A., Brooks L.D., Garrison E.P., Kang H.M., Korbel J.O., Marchini J.L., McCarthy S., McVean G.A., Abecasis G.R. A global reference for human genetic variation. Nature. 2015;526:68–74. doi: 10.1038/nature15393. - DOI - PMC - PubMed