TY - JOUR
T1 - Global Biobank Meta-analysis Initiative
T2 - Powering genetic discovery across human disease
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
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 - Veturi, Yogasudha
AU - Ritchie, Marylyn D.
N1 - Publisher Copyright:
© 2022
PY - 2022/10/12
Y1 - 2022/10/12
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.
UR - http://www.scopus.com/inward/record.url?scp=85139994619&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85139994619&partnerID=8YFLogxK
U2 - 10.1016/j.xgen.2022.100192
DO - 10.1016/j.xgen.2022.100192
M3 - Article
C2 - 36777996
AN - SCOPUS:85139994619
SN - 2666-979X
VL - 2
JO - Cell Genomics
JF - Cell Genomics
IS - 10
M1 - 100192
ER -