Maize Leaf Metabolome GWAS

This dataset contains LC-MS raw files and mass feature-SNP marker association results filtered by -log(p) < 5 Files in the metaboliteFastGlm_boxCoxTransformed sub-directory contain genome-wide association study (GWAS) results from maize secondary metabolites in tab-delimited format. Data were generated from association analyses of ~4,000 mass spectrometry features with ~80M single nucleotide polymorphism (SNP) markers with the generalized linear model implemented in the FastGLM pipeline, and filtered by statistical significance of association (-log(p) > 5). This dataset allows colleagues in the maize genetics and biochemistry field to quickly identify high-resolution genetic loci that are significantly associated with biochemical traits of interests, and generate testable hypothesis to infer the genetic regulation of these traits. In addition, files in the Raw_MS_Files sub-directory contains raw liquid chromatography-mass spectrometry (LC-MS) result files generated by a ThermoQ-Exactive Plus system, organized into further subfolders based on the type of biological tissues and modes of electron spray ionization. The Raw_MSMS_Files sub-directory contains raw LC tandem MS result files generated by the same Thermo Q-Exactive Plus system with the same LC inlet gradient. For more details, see readme.txt.

Data and Resources

Additional Info

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Author Shaoqun Zhou
Last Updated September 10, 2026, 18:10 (UTC)
Published April 10, 2026, 13:41 (UTC)
Citation Shaoqun Zhou 2019. Maize Leaf Metabolome GWAS. CyVerse Data Commons. DOI 10.25739/9dsj-kw33
contributor Karl A. Kremling, Nonoy Bandillo, Annett Richter, Ying K. Zhang, Kevin Ahern, Alexander B Artyukhin, Joshua Hui, Frank C. Schroeder, Edward S. Buckler, Georg Jander
de_created_date 2019-01-08T01:08:14Z
de_modified_date 2020-02-20T22:05:33Z
identifierType DOI
publisher CyVerse Data Commons
resourceType LC-MS GWAS Results