1. Krull, Florian, Akkouh, Ibrahim, Hughes, Timothy, Djurovic, Srdjan, Andreassen, Ole A. 2021. Dose-dependent transcriptional effects of lithium and adverse effect burden in a psychiatric cohort. In Progress in neuro-psychopharmacology & biological psychiatry, 112, 110408. doi:10.1016/j.pnpbp.2021.110408. https://pubmed.ncbi.nlm.nih.gov/34320404/
2. Li, Xueyu, Liu, Xiaolong, Qin, Zhenkui, Zhang, Tingting, Zhang, Zhifeng. 2018. A novel transcription factor Rwdd1 and its SUMOylation inhibit the expression of sqr, a key gene of mitochondrial sulfide metabolism in Urechis unicinctus. In Aquatic toxicology (Amsterdam, Netherlands), 204, 180-189. doi:10.1016/j.aquatox.2018.09.012. https://pubmed.ncbi.nlm.nih.gov/30278355/
3. Ye, Ling-Fang, Weng, Jia-Yi, Wu, Li-Da. 2023. Integrated genomic analysis defines molecular subgroups in dilated cardiomyopathy and identifies novel biomarkers based on machine learning methods. In Frontiers in genetics, 14, 1050696. doi:10.3389/fgene.2023.1050696. https://pubmed.ncbi.nlm.nih.gov/36824437/
4. Grötsch, Helga, Kunert, Marlene, Mooslehner, Katrin A, Hiort, Olaf, Werner, Ralf. 2012. RWDD1 interacts with the ligand binding domain of the androgen receptor and acts as a coactivator of androgen-dependent transactivation. In Molecular and cellular endocrinology, 358, 53-62. doi:10.1016/j.mce.2012.02.020. https://pubmed.ncbi.nlm.nih.gov/22406838/
5. Zhang, Xiaoming, Liu, Yanru, Guo, Bin, Liu, Huaqing, Wang, Zhiren. . Identification of key mRNAs and signaling pathways in obsessive compulsive disorder based on weighted gene co-expression network analysis and cytoHubba plugin. In Brain and behavior, 14, e3412. doi:10.1002/brb3.3412. https://pubmed.ncbi.nlm.nih.gov/38664915/
6. Kang, Ning, Duan, Lian, Tang, Long, Cui, Lianxian, He, Wei. . Identification and characterization of a novel thymus aging related protein Rwdd1. In Cellular & molecular immunology, 5, 279-85. doi:10.1038/cmi.2008.34. https://pubmed.ncbi.nlm.nih.gov/18761815/
7. Vuong, Huy, Cheng, Feixiong, Lin, Chen-Ching, Zhao, Zhongming. 2014. Functional consequences of somatic mutations in cancer using protein pocket-based prioritization approach. In Genome medicine, 6, 81. doi:10.1186/s13073-014-0081-7. https://pubmed.ncbi.nlm.nih.gov/25360158/
8. Sweet-Jones, James, Lenis, Vasileios Panagiotis, Yurchenko, Andrey A, Swain, Martin, Larkin, Denis M. 2021. Genotyping and Whole-Genome Resequencing of Welsh Sheep Breeds Reveal Candidate Genes and Variants for Adaptation to Local Environment and Socioeconomic Traits. In Frontiers in genetics, 12, 612492. doi:10.3389/fgene.2021.612492. https://pubmed.ncbi.nlm.nih.gov/34220925/