reference/8827743

http://rdf.ncbi.nlm.nih.gov/pubchem/reference/8827743

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bibliographicCitation	Achieng AO, Hengartner NW, Raballah E, Cheng Q, Anyona SB, Lauve N, Guyah B, Foo-Hurwitz I, Ong'echa JM, McMahon BH, Ouma C, Lambert CG, Perkins DJ. Integrated OMICS platforms identify LAIR1 genetic variants as novel predictors of cross-sectional and longitudinal susceptibility to severe malaria and all-cause mortality in Kenyan children. EBioMedicine. 2019 Jul;45():290–302. PMID: 31278068; PMCID: PMC6642287.
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date	201907
identifier	https://pubmed.ncbi.nlm.nih.gov/PMC6642287 https://pubmed.ncbi.nlm.nih.gov/31278068 https://doi.org/10.1016/j.ebiom.2019.06.043
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language	English
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title	Integrated OMICS platforms identify LAIR1 genetic variants as novel predictors of cross-sectional and longitudinal susceptibility to severe malaria and all-cause mortality in Kenyan children
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