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1 Ergebnisse
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Multi-ancestry meta-analysis of asthma identifies novel ass..:
Global Biobank Meta-analysis Initiative
;
Tsuo, Kristin
;
Zhou, Wei
...
10.1016/j.xgen.2022.100212. , 2023
Link:
http://hdl.handle.net/10138/354976
RT Journal T1
Multi-ancestry meta-analysis of asthma identifies novel associations and highlights the value of increased power and diversity
UL https://suche.suub.uni-bremen.de/peid=base-ftunivhelsihelda:oai:helda.helsinki.fi:10138_354976&Exemplar=1&LAN=DE A1 Global Biobank Meta-analysis Initiative A1 Tsuo, Kristin A1 Zhou, Wei A1 Wang, Ying A1 Kanai, Masahiro A1 Namba, Shinichi A1 Gupta, Rahul A1 Majara, Lerato A1 Nkambule, Lethukuthula L A1 Morisaki, Takayuki A1 Okada, Yukinori A1 Neale, Benjamin M A1 Daly, Mark J A1 Martin, Alicia R PB Elsevier Inc. YR 2023 K1 asthma K1 cross-trait K1 GWAS K1 heterogeneity K1 meta-analysis K1 multi-ancestry K1 polygenic risk prediction K1 subtypes K1 3121 General medicine K1 internal medicine and other clinical medicine JF 10.1016/j.xgen.2022.100212 LK http://hdl.handle.net/10138/354976 DO http://hdl.handle.net/10138/354976 SF ELIB - SuUB Bremen
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