Integrating transcriptomics, metabolomics, and GWAS helps reveal molecular mechanisms for metabolite levels and disease risk
Xianyong Yin, Debraj Bose, Annie Kwon, Sarah C. Hanks, Anne Jackson, Heather M. Stringham, Ryan Welch, Anniina Oravilahti, Lilian Fernandes Silva, Adam E. Locke, Christian Fuchsberger, Susan K. Service, Michael R. Erdos, Lori L. Bonnycastle, Johanna Kuusisto, Nathan O. Stitziel, Ira M. Hall, Jean Morrison, Samuli Ripatti, Aarno Palotie, Nelson B. Freimer, Francis S. Collins, Karen L. Mohlke, Laura J. Scott, Eric B. Fauman, Charles Burant, Michael Boehnke, Markku Laakso, Xiaoquan Wen
Topics & Concepts
MetabolomicsGenome-wide association studyTranscriptomeBiologyExpression quantitative trait lociComputational biologyMetaboliteMetabolomeKEGGGenetic associationGeneticsDiseaseGeneGene expressionBioinformaticsSingle-nucleotide polymorphismMedicineGenotypeInternal medicineBiochemistryGenetic Associations and EpidemiologyFolate and B Vitamins ResearchLiver Disease Diagnosis and Treatment