Publications

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Luzón-Toro B, Bleda M, Navarro E, et al. Identification of epistatic interactions through genome-wide association studies in sporadic medullary and juvenile papillary thyroid carcinomas. BMC Medical Genomics. 2015;8:83. doi:10.1186/s12920-015-0160-7.
Luzón-Toro B, Gui H, Ruiz-Ferrer M, et al. Exome sequencing reveals a high genetic heterogeneity on familial Hirschsprung disease. Scientific Reports. 2015;5(1). doi:10.1038/srep16473.
Luzón-Toro B, Bleda M, Navarro E, et al. Identification of epistatic interactions through genome-wide association studies in sporadic medullary and juvenile papillary thyroid carcinomas. BMC medical genomics. 2015;8:83. doi:10.1186/s12920-015-0160-7.
Luzón-Toro B, Gui H, Ruiz-Ferrer M, et al. Exome sequencing reveals a high genetic heterogeneity on familial Hirschsprung disease. Scientific reports. 2015;5:16473. doi:10.1038/srep16473.
Luque J, Mendes I, Gómez B, et al. CIBERER: Spanish National Network for Research on Rare Diseases: a highly productive collaborative initiative. Clin Genet. 2022. doi:10.1111/cge.14113.
Lupo V, Garcia-Garcia F, Sancho P, et al. Assessment of Targeted Next-Generation Sequencing as a Tool for the Diagnosis of Charcot-Marie-Tooth Disease and Hereditary Motor Neuropathy. The Journal of molecular diagnostics : JMD. 2016. doi:10.1016/j.jmoldx.2015.10.005.
Lüke L, Vicens A, Serra F, et al. Sexual selection halts the relaxation of protamine 2 among rodents. PloS one. 2011;6:e29247. doi:10.1371/journal.pone.0029247.
Lucariello M, Vidal E, Vidal S, et al. Whole exome sequencing of Rett syndrome-like patients reveals the mutational diversity of the clinical phenotype. Hum Genet. 2016;135(12):1343-1354. doi:10.1007/s00439-016-1721-3.
Loucera C, Carmona R, Bostelmann G, et al. Evidence of the association between increased use of direct oral anticoagulants and a reduction in the rate of atrial fibrillation-related stroke and major bleeding at the population level (2012-2019). Med Clin (Barc). 2023. doi:10.1016/j.medcli.2023.10.008.
Loucera C, Perez-Florido J, Casimiro-Soriguer CS, et al. Assessing the Impact of SARS-CoV-2 Lineages and Mutations on Patient Survival. Viruses. 2022;14(9). doi:10.3390/v14091893.
Loucera C, Carmona R, Esteban-Medina M, et al. Real-world evidence with a retrospective cohort of 15,968 COVID-19 hospitalized patients suggests 21 new effective treatments. Virol J. 2023;20(1):226. doi:10.1186/s12985-023-02195-9.
Loucera C, Peña-Chilet M, Esteban-Medina M, et al. Real world evidence of calcifediol or vitamin D prescription and mortality rate of COVID-19 in a retrospective cohort of hospitalized Andalusian patients. Sci Rep. 2021;11(1):23380. doi:10.1038/s41598-021-02701-5.
Loucera C, Esteban-Medina M, Rian K, Falco MM, Dopazo J, Peña-Chilet M. Drug repurposing for COVID-19 using machine learning and mechanistic models of signal transduction circuits related to SARS-CoV-2 infection. Signal Transduct Target Ther. 2020;5(1):290. doi:10.1038/s41392-020-00417-y.
Lorente-Galdos B, Medina I, Morcillo-Suarez C, et al. Select your SNPs (SYSNPs): a web tool for automatic and massive selection of SNPs. International journal of data mining and bioinformatics. 2012;6:324-34. Available at: http://inderscience.metapress.com/content/f76740x8071u513n/.
López-Sánchez M, Loucera C, Peña-Chilet M, Dopazo J. Discovering potential interactions between rare diseases and COVID-19 by combining mechanistic models of viral infection with statistical modeling. Hum Mol Genet. 2022. doi:10.1093/hmg/ddac007.
López-López D, Loucera C, Carmona R, et al. SMN1 copy-number and sequence variant analysis from next-generation sequencing data. Hum Mutat. 2020;41(12):2073-2077. doi:10.1002/humu.24120.
López-López D, Roldán G, Fernandez-Rueda JL, et al. A crowdsourcing database for the copy-number variation of the Spanish population. Hum Genomics. 2023;17(1):20. doi:10.1186/s40246-023-00466-8.
López-Domingo FJ, Florido JP, Rueda A, Dopazo J, Santoyo-López J. ngsCAT: a tool to assess the efficiency of targeted enrichment sequencing. Bioinformatics. 2014;30(12):1767-8. doi:10.1093/bioinformatics/btu108.
Lopez J, Coll J, Haimel M, et al. HGVA: the Human Genome Variation Archive. Nucleic Acids Res. 2017;45(W1):W189-W194. doi:10.1093/nar/gkx445.
López M, Rueda A, Florido JP, et al. Evolution of the Quorum network and the mobilome (plasmids and bacteriophages) in clinical strains of Acinetobacter baumannii during a decade. Sci Rep. 2018;8(1):2523. doi:10.1038/s41598-018-20847-7.
Mateos A, Herrero J, Tamames J, Dopazo J. Methods of Microarray Data Analysis IISupervised Neural Networks for Clustering Conditions in DNA Array Data After Reducing Noise by Clustering Gene Expression Profiles. (Lin SM, Johnson KF, eds.). Boston: Kluwer Academic Publishers; 2002:91 - 103. doi:10.1007/b11298210.1007/0-306-47598-7_7.
E. Lewintre J, C. Martin R, Montaner D, et al. Analysis of chronic lymphotic leukemia transcriptomic profile: differences between molecular subgroups. Leuk Lymphoma. 2009;50:68-79. Available at: http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=19127482.
Levin AM, de Vries RP, Conesa A, et al. Spatial differentiation in the vegetative mycelium of Aspergillus niger. Eukaryot Cell. 2007;6:2311-22. Available at: http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=17951513.
León C, Garcia-Garcia F, Llames S, et al. Transcriptomic Analysis of a Diabetic Skin-Humanized Mouse Model Dissects Molecular Pathways Underlying the Delayed Wound Healing Response. Genes (Basel). 2020;12(1). doi:10.3390/genes12010047.