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Data_Sheet_1_Genome-Wide Association Analyses Identify Vari..:
Junke Wang
;
Alyssa I. Clay-Gilmour
;
Ezgi Karaesmen
...
doi:10.3389/fgene.2021.554948.s001. , 2021
Link:
https://doi.org/10.3389/fgene.2021.554948.s001
RT Journal T1
Data_Sheet_1_Genome-Wide Association Analyses Identify Variants in IRF4 Associated With Acute Myeloid Leukemia and Myelodysplastic Syndrome Susceptibility.docx
UL https://suche.suub.uni-bremen.de/peid=base-ftfrontimediafig:oai:figshare.com:article_14798853&Exemplar=1&LAN=DE A1 Junke Wang A1 Alyssa I. Clay-Gilmour A1 Ezgi Karaesmen A1 Abbas Rizvi A1 Qianqian Zhu A1 Li Yan A1 Leah Preus A1 Song Liu A1 Yiwen Wang A1 Elizabeth Griffiths A1 Daniel O. Stram A1 Loreall Pooler A1 Xin Sheng A1 Christopher Haiman A1 David Van Den Berg A1 Amy Webb A1 Guy Brock A1 Stephen Spellman A1 Marcelo Pasquini A1 Philip McCarthy A1 James Allan A1 Friedrich Stölzel A1 Kenan Onel A1 Theresa Hahn A1 Lara E. Sucheston-Campbell YR 2021 K1 Genetics K1 Genetic Engineering K1 Biomarkers K1 Developmental Genetics (incl. Sex Determination) K1 Epigenetics (incl. Genome Methylation and Epigenomics) K1 Gene Expression (incl. Microarray and other genome-wide approaches) K1 Genome Structure and Regulation K1 Genomics K1 Genetically Modified Animals K1 Livestock Cloning K1 Gene and Molecular Therapy K1 acute myeloid leukemia K1 myelodysplastic syndrome K1 genome-wide association study K1 blood and marrow transplantation K1 pleiotropy JF doi:10.3389/fgene.2021.554948.s001 LK http://dx.doi.org/https://doi.org/10.3389/fgene.2021.554948.s001 DO https://doi.org/10.3389/fgene.2021.554948.s001 SF ELIB - SuUB Bremen
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