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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; Loos, Ruth 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.
In:
Cell Genomics, Vol. 2, No. 10, 100192, 2022.
Research output: Contribution to journal › Journal article › Research › peer-review
Harvard
Zhou, W, Kanai, M, Wu, KHH, Rasheed, H, Tsuo, K, Hirbo, JB, Wang, Y, Bhattacharya, A, Zhao, H, Namba, S, Surakka, I, Wolford, BN, Lo Faro, V, Lopera-Maya, EA, Läll, K, Favé, MJ, Partanen, JJ, Chapman, SB, Karjalainen, J, Kurki, M, Maasha, M, Brumpton, BM, Chavan, S, Chen, TT, Daya, M, Ding, Y, Feng, YCA, Guare, LA, Gignoux, CR, Graham, SE, Hornsby, WE, Ingold, N, Ismail, SI, Johnson, R, Laisk, T, Lin, K, Lv, J, Millwood, IY, Moreno-Grau, S, Nam, K, Palta, P, Pandit, A, Preuss, MH, Saad, C, Setia-Verma, S, Thorsteinsdottir, U, Uzunovic, J, Verma, A, Zawistowski, M
, Loos, RJF, 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.2022.100192APA
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., ... Colorado Center for Personalized Medicine (2022).
Global Biobank Meta-analysis Initiative: Powering genetic discovery across human disease.
Cell Genomics,
2(10), [100192].
https://doi.org/10.1016/j.xgen.2022.100192Vancouver
Zhou W, Kanai M, Wu KHH, Rasheed H, Tsuo K, Hirbo JB et al.
Global Biobank Meta-analysis Initiative: Powering genetic discovery across human disease.
Cell Genomics. 2022;2(10). 100192.
https://doi.org/10.1016/j.xgen.2022.100192Author
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 ; Loos, Ruth 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. / Global Biobank Meta-analysis Initiative : Powering genetic discovery across human disease. In: Cell Genomics. 2022 ; Vol. 2, No. 10.
Bibtex
@article{476d50452bcf4f9db242c301ae7862db,
title = "Global Biobank Meta-analysis Initiative: Powering genetic discovery across human disease",
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 = "ancestry diversity, biobank, genetic association studies, GWAS, meta-analysis, phenotype harmonization",
author = "Wei Zhou and Masahiro Kanai and Wu, {Kuan Han H.} and Humaira Rasheed and Kristin Tsuo and Hirbo, {Jibril B.} and Ying Wang and Arjun Bhattacharya and Huiling Zhao and Shinichi Namba and Ida Surakka and Wolford, {Brooke N.} and {Lo Faro}, Valeria and Lopera-Maya, {Esteban A.} and Kristi L{\"a}ll and Fav{\'e}, {Marie Julie} and Partanen, {Juulia J.} and Chapman, {Sin{\'e}ad B.} and Juha Karjalainen and Mitja Kurki and Mutaamba Maasha and Brumpton, {Ben M.} and Sameer Chavan and Chen, {Tzu Ting} and Michelle Daya and Yi Ding and Feng, {Yen Chen A.} and Guare, {Lindsay A.} and Gignoux, {Christopher R.} and Graham, {Sarah E.} and Hornsby, {Whitney E.} and Nathan Ingold and Ismail, {Said I.} and Ruth Johnson and Triin Laisk and Kuang Lin and Jun Lv and Millwood, {Iona Y.} and Sonia Moreno-Grau and Kisung Nam and Priit Palta and Anita Pandit and Preuss, {Michael H.} and Chadi Saad and Shefali Setia-Verma and Unnur Thorsteinsdottir and Jasmina Uzunovic and Anurag Verma and Matthew Zawistowski and Loos, {Ruth J.F.} and {deCODE Genetics} and {Estonian Biobank} and FinnGen and {Generation Scotland} and {Genes & Health Research Team} and LifeLines and {Mass General Brigham Biobank} and {Michigan Genomics Initiative} and {National Biobank of Korea} and {Penn Medicine BioBank} and {Qatar Biobank} and {The QSkin Sun and Health Study} and {Taiwan Biobank} and {The HUNT Study} and {UCLA ATLAS Community Health Initiative} and {Uganda Genome Resource} and {UK Biobank} and {Biobank of the Americas} and {BioBank Japan Project} and BioMe and BioVU and {CanPath - Ontario Health Study} and {China Kadoorie Biobank Collaborative Group} and {Colorado Center for Personalized Medicine}",
note = "Publisher Copyright: {\textcopyright} 2022",
year = "2022",
doi = "10.1016/j.xgen.2022.100192",
language = "English",
volume = "2",
journal = "Cell Genomics",
issn = "2666-979x",
publisher = "Elsevier",
number = "10",
}
RIS
TY - JOUR
T1 - Global Biobank Meta-analysis Initiative
T2 - Powering genetic discovery across human disease
AU - Zhou, Wei
AU - Kanai, Masahiro
AU - Wu, Kuan Han H.
AU - Rasheed, Humaira
AU - Tsuo, Kristin
AU - Hirbo, Jibril B.
AU - Wang, Ying
AU - Bhattacharya, Arjun
AU - Zhao, Huiling
AU - Namba, Shinichi
AU - Surakka, Ida
AU - Wolford, Brooke N.
AU - Lo Faro, Valeria
AU - Lopera-Maya, Esteban A.
AU - Läll, Kristi
AU - Favé, Marie Julie
AU - Partanen, Juulia J.
AU - Chapman, Sinéad B.
AU - Karjalainen, Juha
AU - Kurki, Mitja
AU - Maasha, Mutaamba
AU - Brumpton, Ben M.
AU - Chavan, Sameer
AU - Chen, Tzu Ting
AU - Daya, Michelle
AU - Ding, Yi
AU - Feng, Yen Chen A.
AU - Guare, Lindsay A.
AU - Gignoux, Christopher R.
AU - Graham, Sarah E.
AU - Hornsby, Whitney E.
AU - Ingold, Nathan
AU - Ismail, Said I.
AU - Johnson, Ruth
AU - Laisk, Triin
AU - Lin, Kuang
AU - Lv, Jun
AU - Millwood, Iona Y.
AU - Moreno-Grau, Sonia
AU - Nam, Kisung
AU - Palta, Priit
AU - Pandit, Anita
AU - Preuss, Michael H.
AU - Saad, Chadi
AU - Setia-Verma, Shefali
AU - Thorsteinsdottir, Unnur
AU - Uzunovic, Jasmina
AU - Verma, Anurag
AU - Zawistowski, Matthew
AU - Loos, Ruth J.F.
AU - deCODE Genetics
AU - Estonian Biobank
AU - FinnGen
AU - Generation Scotland
AU - Genes & Health Research Team
AU - LifeLines
AU - Mass General Brigham Biobank
AU - Michigan Genomics Initiative
AU - National Biobank of Korea
AU - Penn Medicine BioBank
AU - Qatar Biobank
AU - The QSkin Sun and Health Study
AU - Taiwan Biobank
AU - The HUNT Study
AU - UCLA ATLAS Community Health Initiative
AU - Uganda Genome Resource
AU - UK Biobank
AU - Biobank of the Americas
AU - BioBank Japan Project
AU - BioMe
AU - BioVU
AU - CanPath - Ontario Health Study
AU - China Kadoorie Biobank Collaborative Group
AU - Colorado Center for Personalized Medicine
N1 - Publisher Copyright:
© 2022
PY - 2022
Y1 - 2022
N2 - 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.
AB - 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.
KW - ancestry diversity
KW - biobank
KW - genetic association studies
KW - GWAS
KW - meta-analysis
KW - phenotype harmonization
U2 - 10.1016/j.xgen.2022.100192
DO - 10.1016/j.xgen.2022.100192
M3 - Journal article
C2 - 36777996
AN - SCOPUS:85139994619
VL - 2
JO - Cell Genomics
JF - Cell Genomics
SN - 2666-979x
IS - 10
M1 - 100192
ER -
