Literature Lab™ has been part of cutting-edge research. 

"Literature Lab is an easy to use automated functional analysis and data mining tool uniquely suited to uncover associations and co-occurrences among diseases, pathways, chemical actions, etc. in the literature. It was of great use to us in a recent study to uncover shared genetic etiology among allergic diseases”

Tesfaye Mersha, Assistant Professor, University of Cincinnati, Department of Pediatrics.

Feitosa MF et al. (2018) Novel genetic associations for blood pressure identified via gene-alcohol interaction in up to 570K individuals across multiple ancestries. PLOS One 13(6): e0198166

Sung YJ et al. (2018) A Large-Scale Multi-ancestry Genome-wide Study Accounting for Smoking Behavior Identifies Multiple Significant Loci for Blood Pressure. American Journal of human genetics 102(3):375-400

Gautier JF et al. (2017) Kidney Dysfunction in Adult Offspring Exposed In Utero to Type 1 Diabetes Is Associated with Alterations in Genome-Wide DNA Methylation. PLOS One 10(8): e0134654

D Chaussabel et al. (2015). A narrow repertoire of transcriptional modules responsive to pyogenic bacteria is impaired in patients carrying loss-of-function mutations in MYD88 or IRAK4. Nature Immunology. 15(12): 1134 - 1142

Liu C, Kraja AT et al. (2016). Meta-analysis identifies common and rare variants influencing blood pressure and overlapping with metabolic trait loci. Nature Genetics. 48(10): 1162-70

Gupta J, Johansson E, et al. (2016). Resolving the etiology of atopic disorders by using genetic analysis of racial ancestry. Journal of Allergy and Clinical Immunology. 138(3): 676-99.

Ghosh D, Ding L, et al. (2015). Multiple Transcriptome Data Analysis Reveals Biologically Relevant Atopic Dermatitis Signature Genes and Pathways. PLOS One. 10(12): e0144316.

A.T. Kraja, et al. (2014). Pleiotropic genes for metabolic syndrome and inflammation. Molecular Genetics of Metabolism. 112(4): 317-338.

Febbo P, Mulligan M, et al. (2007). Literature Lab: a method of automated literature interrogation to infer biology from microarray analysis. BMC Genomics. 8:461.