Summary statistics are available for download from the Global Biobank Meta-analysis Initiative.
Multi-ancestry meta-analysis of asthma identifies novel associations and highlights the value of increased power and diversity.
Tsuo K, et al.
Cell Genom. 2022 Nov 8;2(12):100212. doi: 10.1016/j.xgen.2022.100212.
PMID: 36778051
Summary statistics are available for download from the Global Biobank Meta-analysis Initiative.
Multi-ancestry meta-analysis of asthma identifies novel associations and highlights the value of increased power and diversity.
Tsuo K, et al.
Cell Genom. 2022 Nov 8;2(12):100212. doi: 10.1016/j.xgen.2022.100212.
PMID: 36778051
Summary statistics are available for download from the Global Biobank Meta-analysis Initiative.
Multi-ancestry meta-analysis of asthma identifies novel associations and highlights the value of increased power and diversity.
Tsuo K, et al.
Cell Genom. 2022 Nov 8;2(12):100212. doi: 10.1016/j.xgen.2022.100212.
PMID: 36778051
Summary statistics are available for download from the Global Biobank Meta-analysis Initiative.
Multi-ancestry meta-analysis of asthma identifies novel associations and highlights the value of increased power and diversity.
Tsuo K, et al.
Cell Genom. 2022 Nov 8;2(12):100212. doi: 10.1016/j.xgen.2022.100212.
PMID: 36778051
Summary statistics are available for download from the Global Biobank Meta-analysis Initiative.
Multi-ancestry meta-analysis of asthma identifies novel associations and highlights the value of increased power and diversity.
Tsuo K, et al.
Cell Genom. 2022 Nov 8;2(12):100212. doi: 10.1016/j.xgen.2022.100212.
PMID: 36778051
Summary statistics are available for download from the Global Biobank Meta-analysis Initiative.
Multi-ancestry meta-analysis of asthma identifies novel associations and highlights the value of increased power and diversity.
Tsuo K, et al.
Cell Genom. 2022 Nov 8;2(12):100212. doi: 10.1016/j.xgen.2022.100212.
PMID: 36778051
Summary statistics are available for download from the Global Biobank Meta-analysis Initiative.
Multi-ancestry meta-analysis of asthma identifies novel associations and highlights the value of increased power and diversity.
Tsuo K, et al.
Cell Genom. 2022 Nov 8;2(12):100212. doi: 10.1016/j.xgen.2022.100212.
PMID: 36778051
Summary statistics are available for download from the Korea Biobank Array project.
The contribution of common and rare genetic variants to variation in metabolic traits in 288,137 East Asians.
Kim YJ, Moon S, et al.
Nat Commun. 2022 Nov 4;13(1):6642. doi: 10.1038/s41467-022-34163-2.
PMID: 36333282
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Multi-ethnic genome-wide association study for atrial fibrillation.
Roselli C, et al.
Nat Genet. 2018 Sep;50(9):1225-1233. doi: 10.1038/s41588-018-0133-9