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1.
Cho, J.J.* et al.: Hectd3 promotes pathogenic Th17 lineage through Stat3 activation and Malt1 signaling in neuroinflammation. Nat. Commun. 10:701 (2019)
2.
Justice, A.E.* et al.: Protein-coding variants implicate novel genes related to lipid homeostasis contributing to body-fat distribution. Nat. Genet. 51, 452–469 (2019)
3.
Zhang, Y.* et al.: Melanocortin type 4 receptor-mediated inhibition of A-type K+ current enhances sensory neuronal excitability and mechanical pain sensitivity in rats. J. Biol. Chem. 294, 5496-5507 (2019)
4.
Cossec, J.C.* et al.: SUMO safeguards somatic and pluripotent cell identities by enforcing distinct chromatin states. Cell Stem Cell 23, 742-757.e8 (2018)
5.
Egea, J.* et al.: European contribution to the study of ROS: A summary of the findings and prospects for the future from the COST action BM1203 (EU-ROS) (vol 13, pg 94, 2017). Redox Biol. 14, 694-696 (2018)
6.
Lee, J.J.* et al.: Gene discovery and polygenic prediction from a genome-wide association study of educational attainment in 1.1 million individuals. Nat. Genet. 52, 1112-1121 (2018)
7.
Mahajan, A.* et al.: Refining the accuracy of validated target identification through coding variant fine-mapping in type 2 diabetes. Nat. Genet. 50, 559-571 (2018)
8.
Mariappan, A.* et al.: Inhibition of CPAP-tubulin interaction prevents proliferation of centrosome-amplified cancer cells. EMBO J. 37:e99876 (2018)
9.
Shi, R.* et al.: Peroxidasin contributes to lung host defense by direct binding and killing of gram-negative bacteria. PLoS Pathog. 14:e1007026 (2018)
10.
Egea, J.* et al.: European contribution to the study of ROS: A summary of the findings and prospects for the future from the COST action BM1203 (EU-ROS). Redox Biol. 13, 94-162 (2017)
11.
Lu, X.* et al.: Exome chip meta-analysis identifies novel loci and East Asian-specific coding variants that contribute to lipid levels and coronary artery disease. Nat. Genet. 49, 1722–1730 (2017)
12.
Mascher, M.* et al.: A chromosome conformation capture ordered sequence of the barley genome. Nature 544, 427-433 (2017)
13.
Wheeler, E.* et al.: Impact of common genetic determinants of Hemoglobin A1c on type 2 diabetes risk and diagnosis in ancestrally diverse populations: A transethnic genome-wide meta-analysis. PLoS Med. 14:e1002383 (2017)
14.
Zheng, X.* et al.: Molecular basis for CPAP-tubulin interaction in controlling centriolar and ciliary length. Nat. Commun. 7:11874 (2016)
15.
Kato, N.* et al.: Trans-ancestry genome-wide association study identifies 12 genetic loci influencing blood pressure and implicates a role for DNA methylation. Nat. Genet. 47, 1282-1293 (2015)
16.
Li, H.* et al.: A genome-wide association study identifies GRK5 and RASGRP1 as type 2 diabetes loci in Chinese Hans. Diabetes 62, 291-298 (2013)
17.
Ma, R.C.* et al.: Genome-wide association study in a Chinese population identifies a susceptibility locus for type 2 diabetes at 7q32 near PAX4. Diabetologia 56, 1291-1305 (2013)
18.
He, Y.* et al.: dbDEPC 2.0: Updated database of differentially expressed proteins in human cancers. Nucleic Acids Res. 40, D964-D971 (2012)
19.
Lu, X.* et al.: Genome-wide association study in Han Chinese identifies four new susceptibility loci for coronary artery disease. Nat. Genet. 44, 890-894 (2012)
20.
Wang, Z.* et al.: Evolution of protein phosphorylation for distinct functional modules in vertebrate genomes. Mol. Biol. Evol. 28, 1131-1140 (2011)