TY - JOUR T1 - A Comprehensive Analysis of 21 Actionable Pharmacogenes in the Spanish Population: From Genetic Characterisation to Clinical Impact. JF - Pharmaceutics Y1 - 2023 A1 - Núñez-Torres, Rocío A1 - Pita, Guillermo A1 - Peña-Chilet, Maria A1 - López-López, Daniel A1 - Zamora, Jorge A1 - Roldán, Gema A1 - Herráez, Belén A1 - Alvarez, Nuria A1 - Alonso, María Rosario A1 - Dopazo, Joaquin A1 - González-Neira, Anna AB -

The implementation of pharmacogenetics (PGx) is a main milestones of precision medicine nowadays in order to achieve safer and more effective therapies. Nevertheless, the implementation of PGx diagnostics is extremely slow and unequal worldwide, in part due to a lack of ethnic PGx information. We analysed genetic data from 3006 Spanish individuals obtained by different high-throughput (HT) techniques. Allele frequencies were determined in our population for the main 21 actionable PGx genes associated with therapeutical changes. We found that 98% of the Spanish population harbours at least one allele associated with a therapeutical change and, thus, there would be a need for a therapeutical change in a mean of 3.31 of the 64 associated drugs. We also identified 326 putative deleterious variants that were not previously related with PGx in 18 out of the 21 main PGx genes evaluated and a total of 7122 putative deleterious variants for the 1045 PGx genes described. Additionally, we performed a comparison of the main HT diagnostic techniques, revealing that after whole genome sequencing, genotyping with the PGx HT array is the most suitable solution for PGx diagnostics. Finally, all this information was integrated in the Collaborative Spanish Variant Server to be available to and updated by the scientific community.

VL - 15 IS - 4 ER - TY - JOUR T1 - A crowdsourcing database for the copy-number variation of the Spanish population. JF - Hum Genomics Y1 - 2023 A1 - López-López, Daniel A1 - Roldán, Gema A1 - Fernandez-Rueda, Jose L A1 - Bostelmann, Gerrit A1 - Carmona, Rosario A1 - Aquino, Virginia A1 - Perez-Florido, Javier A1 - Ortuno, Francisco A1 - Pita, Guillermo A1 - Núñez-Torres, Rocío A1 - González-Neira, Anna A1 - Peña-Chilet, Maria A1 - Dopazo, Joaquin AB -

BACKGROUND: Despite being a very common type of genetic variation, the distribution of copy-number variations (CNVs) in the population is still poorly understood. The knowledge of the genetic variability, especially at the level of the local population, is a critical factor for distinguishing pathogenic from non-pathogenic variation in the discovery of new disease variants.

RESULTS: Here, we present the SPAnish Copy Number Alterations Collaborative Server (SPACNACS), which currently contains copy number variation profiles obtained from more than 400 genomes and exomes of unrelated Spanish individuals. By means of a collaborative crowdsourcing effort whole genome and whole exome sequencing data, produced by local genomic projects and for other purposes, is continuously collected. Once checked both, the Spanish ancestry and the lack of kinship with other individuals in the SPACNACS, the CNVs are inferred for these sequences and they are used to populate the database. A web interface allows querying the database with different filters that include ICD10 upper categories. This allows discarding samples from the disease under study and obtaining pseudo-control CNV profiles from the local population. We also show here additional studies on the local impact of CNVs in some phenotypes and on pharmacogenomic variants. SPACNACS can be accessed at: http://csvs.clinbioinfosspa.es/spacnacs/ .

CONCLUSION: SPACNACS facilitates disease gene discovery by providing detailed information of the local variability of the population and exemplifies how to reuse genomic data produced for other purposes to build a local reference database.

VL - 17 IS - 1 ER - TY - JOUR T1 - Metabolic reprogramming by Acly inhibition using SB-204990 alters glucoregulation and modulates molecular mechanisms associated with aging. JF - Commun Biol Y1 - 2023 A1 - Sola-García, Alejandro A1 - Cáliz-Molina, María Ángeles A1 - Espadas, Isabel A1 - Petr, Michael A1 - Panadero-Morón, Concepción A1 - González-Morán, Daniel A1 - Martín-Vázquez, María Eugenia A1 - Narbona-Pérez, Álvaro Jesús A1 - López-Noriega, Livia A1 - Martínez-Corrales, Guillermo A1 - López-Fernández-Sobrino, Raúl A1 - Carmona-Marin, Lina M A1 - Martínez-Force, Enrique A1 - Yanes, Oscar A1 - Vinaixa, Maria A1 - López-López, Daniel A1 - Reyes, José Carlos A1 - Dopazo, Joaquin A1 - Martín, Franz A1 - Gauthier, Benoit R A1 - Scheibye-Knudsen, Morten A1 - Capilla-González, Vivian A1 - Martín-Montalvo, Alejandro AB -

ATP-citrate lyase is a central integrator of cellular metabolism in the interface of protein, carbohydrate, and lipid metabolism. The physiological consequences as well as the molecular mechanisms orchestrating the response to long-term pharmacologically induced Acly inhibition are unknown. We report here that the Acly inhibitor SB-204990 improves metabolic health and physical strength in wild-type mice when fed with a high-fat diet, while in mice fed with healthy diet results in metabolic imbalance and moderated insulin resistance. By applying a multiomic approach using untargeted metabolomics, transcriptomics, and proteomics, we determined that, in vivo, SB-204990 plays a role in the regulation of molecular mechanisms associated with aging, such as energy metabolism, mitochondrial function, mTOR signaling, and folate cycle, while global alterations on histone acetylation are absent. Our findings indicate a mechanism for regulating molecular pathways of aging that prevents the development of metabolic abnormalities associated with unhealthy dieting. This strategy might be explored for devising therapeutic approaches to prevent metabolic diseases.

VL - 6 IS - 1 ER - TY - JOUR T1 - CSVS, a crowdsourcing database of the Spanish population genetic variability. JF - Nucleic Acids Res Y1 - 2021 A1 - Peña-Chilet, Maria A1 - Roldán, Gema A1 - Perez-Florido, Javier A1 - Ortuno, Francisco M A1 - Carmona, Rosario A1 - Aquino, Virginia A1 - López-López, Daniel A1 - Loucera, Carlos A1 - Fernandez-Rueda, Jose L A1 - Gallego, Asunción A1 - Garcia-Garcia, Francisco A1 - González-Neira, Anna A1 - Pita, Guillermo A1 - Núñez-Torres, Rocío A1 - Santoyo-López, Javier A1 - Ayuso, Carmen A1 - Minguez, Pablo A1 - Avila-Fernandez, Almudena A1 - Corton, Marta A1 - Moreno-Pelayo, Miguel Ángel A1 - Morin, Matías A1 - Gallego-Martinez, Alvaro A1 - Lopez-Escamez, Jose A A1 - Borrego, Salud A1 - Antiňolo, Guillermo A1 - Amigo, Jorge A1 - Salgado-Garrido, Josefa A1 - Pasalodos-Sanchez, Sara A1 - Morte, Beatriz A1 - Carracedo, Ángel A1 - Alonso, Ángel A1 - Dopazo, Joaquin KW - Alleles KW - Chromosome Mapping KW - Crowdsourcing KW - Databases, Genetic KW - Exome KW - Gene Frequency KW - Genetic Variation KW - Genetics, Population KW - Genome, Human KW - Genomics KW - Humans KW - Internet KW - Precision Medicine KW - Software KW - Spain AB -

The knowledge of the genetic variability of the local population is of utmost importance in personalized medicine and has been revealed as a critical factor for the discovery of new disease variants. Here, we present the Collaborative Spanish Variability Server (CSVS), which currently contains more than 2000 genomes and exomes of unrelated Spanish individuals. This database has been generated in a collaborative crowdsourcing effort collecting sequencing data produced by local genomic projects and for other purposes. Sequences have been grouped by ICD10 upper categories. A web interface allows querying the database removing one or more ICD10 categories. In this way, aggregated counts of allele frequencies of the pseudo-control Spanish population can be obtained for diseases belonging to the category removed. Interestingly, in addition to pseudo-control studies, some population studies can be made, as, for example, prevalence of pharmacogenomic variants, etc. In addition, this genomic data has been used to define the first Spanish Genome Reference Panel (SGRP1.0) for imputation. This is the first local repository of variability entirely produced by a crowdsourcing effort and constitutes an example for future initiatives to characterize local variability worldwide. CSVS is also part of the GA4GH Beacon network. CSVS can be accessed at: http://csvs.babelomics.org/.

VL - 49 IS - D1 U1 - https://www.ncbi.nlm.nih.gov/pubmed/32990755?dopt=Abstract ER - TY - JOUR T1 - Genome-wide analysis of DNA methylation in Hirschsprung enteric precursor cells: unraveling the epigenetic landscape of enteric nervous system developmentAbstractBackgroundResultsConclusionsGraphic abstract JF - Clinical Epigenetics Y1 - 2021 A1 - Villalba-Benito, Leticia A1 - López-López, Daniel A1 - Torroglosa, Ana A1 - Casimiro-Soriguer, Carlos S. A1 - Luzón-Toro, Berta A1 - Fernández, Raquel María A1 - Moya-Jiménez, María José A1 - Antiňolo, Guillermo A1 - Dopazo, Joaquin A1 - Borrego, Salud VL - 13 UR - http://link.springer.com/article/10.1186/s13148-021-01040-6/fulltext.html IS - 1 JO - Clin Epigenet ER - TY - JOUR T1 - A versatile workflow to integrate RNA-seq genomic and transcriptomic data into mechanistic models of signaling pathways. JF - PLoS Comput Biol Y1 - 2021 A1 - Garrido-Rodriguez, Martín A1 - López-López, Daniel A1 - Ortuno, Francisco M A1 - Peña-Chilet, Maria A1 - Muñoz, Eduardo A1 - Calzado, Marco A A1 - Dopazo, Joaquin KW - Algorithms KW - Cell Line, Tumor KW - Computational Biology KW - Databases, Factual KW - Gene Expression Profiling KW - Genomics KW - High-Throughput Nucleotide Sequencing KW - Humans KW - Models, Theoretical KW - mutation KW - RNA-seq KW - Signal Transduction KW - Software KW - Transcriptome KW - whole exome sequencing KW - Workflow AB -

MIGNON is a workflow for the analysis of RNA-Seq experiments, which not only efficiently manages the estimation of gene expression levels from raw sequencing reads, but also calls genomic variants present in the transcripts analyzed. Moreover, this is the first workflow that provides a framework for the integration of transcriptomic and genomic data based on a mechanistic model of signaling pathway activities that allows a detailed biological interpretation of the results, including a comprehensive functional profiling of cell activity. MIGNON covers the whole process, from reads to signaling circuit activity estimations, using state-of-the-art tools, it is easy to use and it is deployable in different computational environments, allowing an optimized use of the resources available.

VL - 17 IS - 2 U1 - https://www.ncbi.nlm.nih.gov/pubmed/33571195?dopt=Abstract ER - TY - JOUR T1 - SMN1 copy-number and sequence variant analysis from next-generation sequencing data. JF - Hum Mutat Y1 - 2020 A1 - López-López, Daniel A1 - Loucera, Carlos A1 - Carmona, Rosario A1 - Aquino, Virginia A1 - Salgado, Josefa A1 - Pasalodos, Sara A1 - Miranda, María A1 - Alonso, Ángel A1 - Dopazo, Joaquin KW - Base Sequence KW - DNA Copy Number Variations KW - High-Throughput Nucleotide Sequencing KW - Humans KW - Reproducibility of Results KW - Software KW - Survival of Motor Neuron 1 Protein AB -

Spinal muscular atrophy (SMA) is a severe neuromuscular autosomal recessive disorder affecting 1/10,000 live births. Most SMA patients present homozygous deletion of SMN1, while the vast majority of SMA carriers present only a single SMN1 copy. The sequence similarity between SMN1 and SMN2, and the complexity of the SMN locus makes the estimation of the SMN1 copy-number by next-generation sequencing (NGS) very difficult. Here, we present SMAca, the first python tool to detect SMA carriers and estimate the absolute SMN1 copy-number using NGS data. Moreover, SMAca takes advantage of the knowledge of certain variants specific to SMN1 duplication to also identify silent carriers. This tool has been validated with a cohort of 326 samples from the Navarra 1000 Genomes Project (NAGEN1000). SMAca was developed with a focus on execution speed and easy installation. This combination makes it especially suitable to be integrated into production NGS pipelines. Source code and documentation are available at https://www.github.com/babelomics/SMAca.

VL - 41 IS - 12 U1 - https://www.ncbi.nlm.nih.gov/pubmed/33058415?dopt=Abstract ER - TY - JOUR T1 - Antibiotic resistance and metabolic profiles as functional biomarkers that accurately predict the geographic origin of city metagenomics samples. JF - Biol Direct Y1 - 2019 A1 - Casimiro-Soriguer, Carlos S A1 - Loucera, Carlos A1 - Perez Florido, Javier A1 - López-López, Daniel A1 - Dopazo, Joaquin KW - biomarkers KW - Cities KW - Drug Resistance, Microbial KW - Machine Learning KW - Metabolome KW - Metagenome KW - metagenomics KW - Microbiota AB -

BACKGROUND: The availability of hundreds of city microbiome profiles allows the development of increasingly accurate predictors of the origin of a sample based on its microbiota composition. Typical microbiome studies involve the analysis of bacterial abundance profiles.

RESULTS: Here we use a transformation of the conventional bacterial strain or gene abundance profiles to functional profiles that account for bacterial metabolism and other cell functionalities. These profiles are used as features for city classification in a machine learning algorithm that allows the extraction of the most relevant features for the classification.

CONCLUSIONS: We demonstrate here that the use of functional profiles not only predict accurately the most likely origin of a sample but also to provide an interesting functional point of view of the biogeography of the microbiota. Interestingly, we show how cities can be classified based on the observed profile of antibiotic resistances.

REVIEWERS: Open peer review: Reviewed by Jin Zhuang Dou, Jing Zhou, Torsten Semmler and Eran Elhaik.

VL - 14 IS - 1 U1 - https://www.ncbi.nlm.nih.gov/pubmed/31429791?dopt=Abstract ER -