Tan ALM*, Langley SR*, et al. Ethnicity-specific skeletal muscle transcriptional signatures and their relevance to insulin resistance in Singapore. JCEM. 2018. Advance Access. doi:10.1210/jc.2018-00309.

Langley SR, Willeit K, Didangelos A, et al. Extracellular matrix proteomics identifies molecular signature of symptomatic carotid plaques. JCI. 2017. 127(4):1546. doi:10.1172/JCI86924

Delahaye-Duriez A, Shkura K, Langley SR, et al. Rare and common epilepsies converge to a single gene regulatory network: opportunities for novel antiepileptic drug discovery. Genome Biol. 2016. 17(1): 245. doi:10.1186/s13059-016-1097-7

Johnson MR, Shkura K, Langley SR, et al. Systems genetics identifies a convergent gene network for cognition and neurodevelopmental disease. Nat. Neurosci. 2016. 19(2): 223-232. doi:10.1038/nn.4205

Langley SR and Mayr M. Comparative analysis of statistical methods used for detecting differential expression in label-free mass spectrometry proteomics. J. Proteomics. 2015. 129:83-92. doi:10.1016/j.jprot.2015.07.012

Langley SR, et al. Systems-level approaches reveal conservation of trans-regulated genes in the rat and genetic determinants of blood pressure in humans. Cardiovasc. Res. 2013. 97(4): 653-665. doi:10.1093/cvr/cvs329

Heinig M, Petretto E, Wallace C, Bottolo L, Rotival M, Lu H, Li Y, Sarwar R, Langley SR, et al. A trans-acting locus regulates an anti-viral expression network and type 1 diabetes risk. Nature. 2010. 467(7314): 460-464. doi:10.1038/nature09386

Nishihara E*, Tsaih S*, Tsukahara C*, Langley S*, et al. Quantitative trait loci associated with blood pressure of metabolic syndrome in the progeny of NZO/HILtJ x C3H/HeJ intercrosses. Mamm. Genome. 2007. 18(8): 573-583. doi:10.1007/s00335-007-9033-5