Student or educator? Sign up with your school email and get 6 months of Pro free.
CoChat
Sign Up
Cited by 432

The DOI matches its Crossref record; 94 of the 94 references it cites were found in a registry or an index.

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

Open access
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.·2022·Cell Genomics
DOI 10.1016/j.xgen.2022.100192
Open this paper in CoChat — free account

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.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1016/j.xgen.2022.100192

Cites

94 of 94 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 94 references

Cited by

See all 432

Metadata

Authors
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., Zhong, X., Afifi, N., Al-Dabhani, K. M., Al Thani, A., Bradford, Y., Campbell, A., Crooks, K., de Bock, G. H., Damrauer, S. M., Douville, N. J., Finer, S., Fritsche, L. G., Fthenou, E., Gonzalez-Arroyo, G., Griffiths, C. J., Guo, Y., Hunt, K. A., Ioannidis, A., Jansonius, N. M., Konuma, T., Lee, M. T. M., Lopez-Pineda, A., Matsuda, Y., Marioni, R. E., Moatamed, B., Nava-Aguilar, M. A., Numakura, K., Patil, S., Rafaels, N., Richmond, A., Rojas-Muñoz, A., Shortt, J. A., Straub, P., Tao, R., Vanderwerff, B., Vernekar, M., Veturi, Y., Barnes, K. C., Boezen, M., Chen, Z., Chen, C.-Y., Cho, J., Smith, G. D., Finucane, H. K., Franke, L., Gamazon, E. R., Ganna, A., Gaunt, T. R., Ge, T., Huang, H., Huffman, J., Katsanis, N., Koskela, J. T., Lajonchere, C., Law, M. H., Li, L., Lindgren, C. M., Loos, R. J. F., MacGregor, S., Matsuda, K., Olsen, C. M., Porteous, D. J., Shavit, J. A., Snieder, H., Takano, T., Trembath, R. C., Vonk, J. M., Whiteman, D. C., Wicks, S. J., Wijmenga, C., Wright, J., Zheng, J., Zhou, X., Awadalla, P., Boehnke, M., Bustamante, C. D., Cox, N. J., Fatumo, S., Geschwind, D. H., Hayward, C., Hveem, K., Kenny, E. E., Lee, S., Lin, Y.-F., Mbarek, H., Mägi, R., Martin, H. C., Medland, S. E., Okada, Y., Palotie, A. V., Pasaniuc, B., Rader, D. J., Ritchie, M. D., Sanna, S., Smoller, J. W., Stefansson, K., van Heel, D. A., Walters, R. G., Zöllner, S., Martin, A. R., Willer, C. J., Daly, M. J., & Neale, B. M.
Venue
Cell Genomics
Publisher
Elsevier BV
Published
2022-10
Volume
2
Issue
10
Pages
100192
ISSN
2666-979X (ISSN-L)
DOI
10.1016/j.xgen.2022.100192
OpenAlex
W4304695497
Cited by
432
References
94
FWCI
47.66
Type
journal article
Language
en
Open access
gold

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Global Biobank Meta-analysis Initiative: Powering genetic discovery across human disease. https://app.cochat.ai/papers/10.1016/j.xgen.2022.100192
The paper
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., . . . Neale, B. M. (2022). Global Biobank Meta-analysis Initiative: Powering genetic discovery across human disease. Cell Genomics. https://doi.org/10.1016/j.xgen.2022.100192

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.