1. Kennedy, James M, Fodil, Nassima, Torre, Sabrina, Vidal, Silvia M, Gros, Philippe. 2014. CCDC88B is a novel regulator of maturation and effector functions of T cells during pathological inflammation. In The Journal of experimental medicine, 211, 2519-35. doi:10.1084/jem.20140455. https://pubmed.ncbi.nlm.nih.gov/25403443/
2. Olivier, Jean-Frederic, Fodil, Nassima, Al Habyan, Sara, McCaffrey, Luke, Gros, Philippe. 2020. CCDC88B is required for mobility and inflammatory functions of dendritic cells. In Journal of leukocyte biology, 108, 1787-1802. doi:10.1002/JLB.3A0420-386R. https://pubmed.ncbi.nlm.nih.gov/32480428/
3. Zhao, Sizheng Steven, Mackie, Sarah L, Larsson, Susanna C, Burgess, Stephen, Yuan, Shuai. 2024. Modifiable risk factors and inflammation-related proteins in polymyalgia rheumatica: genome-wide meta-analysis and Mendelian randomisation. In Rheumatology (Oxford, England), , . doi:10.1093/rheumatology/keae308. https://pubmed.ncbi.nlm.nih.gov/38788669/
4. Casares-Marfil, Desiré, Kerick, Martin, Andrés-León, Eduardo, Martin, Javier, Acosta-Herrera, Marialbert. 2021. GWAS loci associated with Chagas cardiomyopathy influences DNA methylation levels. In PLoS neglected tropical diseases, 15, e0009874. doi:10.1371/journal.pntd.0009874. https://pubmed.ncbi.nlm.nih.gov/34714828/
5. Goode, Elizabeth C, Fachal, Laura, Panousis, Nikolaos, Rushbrook, Simon M, Anderson, Carl A. 2024. Fine-mapping and molecular characterisation of primary sclerosing cholangitis genetic risk loci. In Nature communications, 15, 9594. doi:10.1038/s41467-024-53602-w. https://pubmed.ncbi.nlm.nih.gov/39505854/
6. Fodil, Nassima, Moradin, Neda, Leung, Vicki, Yeretssian, Garabet, Gros, Philippe. 2017. CCDC88B is required for pathogenesis of inflammatory bowel disease. In Nature communications, 8, 932. doi:10.1038/s41467-017-01381-y. https://pubmed.ncbi.nlm.nih.gov/29030607/
7. Sun, Yanfa, Zhu, Jingjing, Yang, Yaohua, Wu, Chong, Wu, Lang. 2023. Identification of candidate DNA methylation biomarkers related to Alzheimer's disease risk by integrating genome and blood methylome data. In Translational psychiatry, 13, 387. doi:10.1038/s41398-023-02695-w. https://pubmed.ncbi.nlm.nih.gov/38092781/
8. Jia, Pingping, Zhan, Na, Bat, Baker K K, Feng, Qi, Tsoi, Kelvin K F. 2022. The genetic architecture of blood pressure variability: A genome-wide association study of 9370 participants from UK Biobank. In Journal of clinical hypertension (Greenwich, Conn.), 24, 1370-1380. doi:10.1111/jch.14552. https://pubmed.ncbi.nlm.nih.gov/35942506/