02245nas a2200253   4500008004100000022001400041245013700055210006900192260001600261490000700277520134400284100002701628700002001655700002401675700002601699700001801725700001801743700002101761700001901782700002801801700002001829700002601849856011601875       2023                        eng d  a1999-492300aA Comprehensive Analysis of 21 Actionable Pharmacogenes in the Spanish Population: From Genetic Characterisation to Clinical Impact.0 aComprehensive Analysis of 21 Actionable Pharmacogenes in the Spa  c2023 Apr 190 v153 a<p>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.</p>1 aNúñez-Torres, Rocío1 aPita, Guillermo1 aPeña-Chilet, Maria1 aLópez-López, Daniel1 aZamora, Jorge1 aRoldán, Gema1 aHerráez, Belén1 aAlvarez, Nuria1 aAlonso, María, Rosario1 aDopazo, Joaquin1 aGonzález-Neira, Anna  uhttp://clinbioinfosspa.es/content/comprehensive-analysis-21-actionable-pharmacogenes-spanish-population-genetic02663nas a2200301   4500008004100000022001400041245008600055210006900141260001600210300000700226490000700233520168700240100002601927700001801953700002901971700002302000700002102023700002102044700002602065700002202091700002002113700002702133700002602160700002402186700002002210710002902230856010202259       2023                        eng d  a1479-736400aA crowdsourcing database for the copy-number variation of the Spanish population.0 acrowdsourcing database for the copynumber variation of the Spani  c2023 Mar 09  a200 v173 a<p><b>BACKGROUND: </b>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.</p><p><b>RESULTS: </b>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/ .</p><p><b>CONCLUSION: </b>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.</p>1 aLópez-López, Daniel1 aRoldán, Gema1 aFernandez-Rueda, Jose, L1 aBostelmann, Gerrit1 aCarmona, Rosario1 aAquino, Virginia1 aPerez-Florido, Javier1 aOrtuno, Francisco1 aPita, Guillermo1 aNúñez-Torres, Rocío1 aGonzález-Neira, Anna1 aPeña-Chilet, Maria1 aDopazo, Joaquin1 aCSVS Crowdsourcing Group  uhttp://clinbioinfosspa.es/content/crowdsourcing-database-copy-number-variation-spanish-population03503nas a2200709   4500008004100000022001400041245008200055210006900137260001500206300001600221490000700237520139500244653001201639653002301651653001801674653002301692653001001715653001901725653002201744653002501766653001801791653001301809653001101822653001301833653002301846653001301869653001001882100002401892700001801916700002601934700002501960700002101985700002102006700002602027700002002053700002902073700002302102700002902125700002602154700002002180700002702200700002702227700001802254700001902272700003002291700001802321700003402339700001902373700002902392700002702421700001902448700002502467700001702492700002802509700002802537700001902565700002202584700001902606700002002625710004302645856010502688       2021                        eng d  a1362-496200aCSVS, a crowdsourcing database of the Spanish population genetic variability.0 aCSVS a crowdsourcing database of the Spanish population genetic   c2021 01 08  aD1130-D11370 v493 a<p>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/.</p>10aAlleles10aChromosome Mapping10aCrowdsourcing10aDatabases, Genetic10aExome10aGene Frequency10aGenetic Variation10aGenetics, Population10aGenome, Human10aGenomics10aHumans10aInternet10aPrecision Medicine10aSoftware10aSpain1 aPeña-Chilet, Maria1 aRoldán, Gema1 aPerez-Florido, Javier1 aOrtuno, Francisco, M1 aCarmona, Rosario1 aAquino, Virginia1 aLópez-López, Daniel1 aLoucera, Carlos1 aFernandez-Rueda, Jose, L1 aGallego, Asunción1 aGarcia-Garcia, Francisco1 aGonzález-Neira, Anna1 aPita, Guillermo1 aNúñez-Torres, Rocío1 aSantoyo-López, Javier1 aAyuso, Carmen1 aMinguez, Pablo1 aAvila-Fernandez, Almudena1 aCorton, Marta1 aMoreno-Pelayo, Miguel, Ángel1 aMorin, Matías1 aGallego-Martinez, Alvaro1 aLopez-Escamez, Jose, A1 aBorrego, Salud1 aAntiňolo, Guillermo1 aAmigo, Jorge1 aSalgado-Garrido, Josefa1 aPasalodos-Sanchez, Sara1 aMorte, Beatriz1 aCarracedo, Ángel1 aAlonso, Ángel1 aDopazo, Joaquin1 aSpanish Exome Crowdsourcing Consortium  uhttp://clinbioinfosspa.es/content/csvs-crowdsourcing-database-spanish-population-genetic-variability02193nas a2200289   4500008004100000022001400041245014800055210006900203260001600272300000800288490000600296520126100302100002701563700001701590700002701607700002001634700002301654700002401677700002001701700002001721700002801741700002001769700002501789700002101814700001901835856004901854       2012                        eng d  a1750-117200aFour new loci associations discovered by pathway-based and network analyses of the genome-wide variability profile of Hirschsprung’s disease.0 aFour new loci associations discovered by pathwaybased and networ  c2012 Dec 28  a1030 v73 aABSTRACT: Finding gene associations in rare diseases is frequently hampered by the reduced numbers of patients accessible. Conventional gene-based association tests rely on the availability of large cohorts, which constitutes a serious limitation for its application in this scenario. To overcome this problem we have used here a combined strategy in which a pathway-based analysis (PBA) has been initially conducted to prioritize candidate genes in a Spanish cohort of 53 trios of short-segment Hirschsprung’s disease. Candidate genes have been further validated in an independent population of 106 trios. The study revealed a strong association of 11 gene ontology (GO) modules related to signal transduction and its regulation, enteric nervous system (ENS) formation and other HSCR-related processes. Among the preselected candidates, a total of 4 loci, RASGEF1A, IQGAP2, DLC1 and CHRNA7, related to signal transduction and migration processes, were found to be significantly associated to HSCR. Network analysis also confirms their involvement in the network of already known disease genes. This approach, based on the study of functionally-related gene sets, requires of lower sample sizes and opens new opportunities for the study of rare diseases.1 aFernández, Raquel, Ma1 aBleda, Marta1 aNúñez-Torres, Rocío1 aMedina, Ignacio1 aLuzón-Toro, Berta1 aGarcía-Alonso, Luz1 aTorroglosa, Ana1 aMarbà, Martina1 aEnguix-Riego, Ma, Valle1 aMontaner, David1 aAntiňolo, Guillermo1 aDopazo, Joaquín1 aBorrego, Salud  uhttp://www.ojrd.com/content/7/1/103/abstract02486nas a2200373   4500008004100000022001400041245014600055210006900201260001600270300000800286490000600294520125600300653001101556653003801567653003401605653001301639653002501652653001101677653000901688100002701697700001701724700002701741700002001768700002301788700002401811700002001835700002001855700002801875700002001903700002501923700002001948700001901968856012501987       2012                        eng d  a1750-117200aFour new loci associations discovered by pathway-based and network analyses of the genome-wide variability profile of Hirschsprung's disease.0 aFour new loci associations discovered by pathwaybased and networ  c2012 Dec 28  a1030 v73 a<p>Finding gene associations in rare diseases is frequently hampered by the reduced numbers of patients accessible. Conventional gene-based association tests rely on the availability of large cohorts, which constitutes a serious limitation for its application in this scenario. To overcome this problem we have used here a combined strategy in which a pathway-based analysis (PBA) has been initially conducted to prioritize candidate genes in a Spanish cohort of 53 trios of short-segment Hirschsprung's disease. Candidate genes have been further validated in an independent population of 106 trios. The study revealed a strong association of 11 gene ontology (GO) modules related to signal transduction and its regulation, enteric nervous system (ENS) formation and other HSCR-related processes. Among the preselected candidates, a total of 4 loci, RASGEF1A, IQGAP2, DLC1 and CHRNA7, related to signal transduction and migration processes, were found to be significantly associated to HSCR. Network analysis also confirms their involvement in the network of already known disease genes. This approach, based on the study of functionally-related gene sets, requires of lower sample sizes and opens new opportunities for the study of rare diseases.</p>10aFemale10aGenetic Predisposition to Disease10aGenome-Wide Association Study10aGenotype10aHirschsprung Disease10aHumans10aMale1 aFernández, Raquel, Ma1 aBleda, Marta1 aNúñez-Torres, Rocío1 aMedina, Ignacio1 aLuzón-Toro, Berta1 aGarcía-Alonso, Luz1 aTorroglosa, Ana1 aMarbà, Martina1 aEnguix-Riego, Ma, Valle1 aMontaner, David1 aAntiňolo, Guillermo1 aDopazo, Joaquin1 aBorrego, Salud  uhttp://clinbioinfosspa.es/content/four-new-loci-associations-discovered-pathway-based-and-network-analyses-genome-wide-0