@article {812, title = {Shared germline genomic variants in two patients with double primary gastrointestinal stromal tumours (GISTs).}, journal = {J Med Genet}, volume = {61}, year = {2024}, month = {2024 Sep 24}, pages = {927-934}, abstract = {

BACKGROUND: Gastrointestinal stromal tumours (GISTs) are prevalent mesenchymal tumours of the gastrointestinal tract, commonly exhibiting structural variations in and genes. While the mutational profiling of somatic tumours is well described, the genes behind the susceptibility to develop GIST are not yet fully discovered. This study explores the genomic landscape of two primary GIST cases, aiming to identify shared germline pathogenic variants and shed light on potential key players in tumourigenesis.

METHODS: Two patients with distinct genotypically and phenotypically GISTs underwent germline whole genome sequencing. CNV and single nucleotide variant (SNV) analyses were performed.

RESULTS: Both patients harbouring low-risk GISTs with different mutations ( and ) shared homozygous germline pathogenic deletions in both and genes. CNV analysis revealed additional shared pathogenic deletions in other genes such as . No particular pathogenic SNV shared by both patients was detected.

CONCLUSION: Our study provides new insights into germline variants that can be associated with the development of GISTs, namely, and deep deletions. Further functional validation is warranted to elucidate the precise contributions of identified germline mutations in GIST development.

}, keywords = {DNA Copy Number Variations, Female, Gastrointestinal Neoplasms, Gastrointestinal Stromal Tumors, Genetic Predisposition to Disease, Germ-Line Mutation, Humans, Male, Middle Aged, Polymorphism, Single Nucleotide, Proto-Oncogene Proteins c-kit, Receptor, Platelet-Derived Growth Factor alpha, Whole Genome Sequencing}, issn = {1468-6244}, doi = {10.1136/jmg-2024-110109}, author = {Moura, David S and L{\'o}pez L{\'o}pez, Daniel and di Lernia, Davide and Martin-Ruiz, Marta and Lopez-Alvarez, Maria and Ramos, Rafael and Merino, Jose and Dopazo, Joaquin and Lopez-Guerrero, Jose and Mondaza-Hernandez, Jose L and Romero, Pablo and Hindi, Nadia and Garcia-Foncillas, Jesus and Martin-Broto, Javier} } @article {729, title = {The ELIXIR Human Copy Number Variations Community: building bioinformatics infrastructure for research.}, journal = {F1000Res}, volume = {9}, year = {2020}, month = {2020}, chapter = {1229}, abstract = {

Copy number variations (CNVs) are major causative contributors both in the genesis of genetic diseases and human neoplasias. While "High-Throughput" sequencing technologies are increasingly becoming the primary choice for genomic screening analysis, their ability to efficiently detect CNVs is still heterogeneous and remains to be developed. The aim of this white paper is to provide a guiding framework for the future contributions of ELIXIR{\textquoteright}s recently established with implications beyond human disease diagnostics and population genomics. This white paper is the direct result of a strategy meeting that took place in September 2018 in Hinxton (UK) and involved representatives of 11 ELIXIR Nodes. The meeting led to the definition of priority objectives and tasks, to address a wide range of CNV-related challenges ranging from detection and interpretation to sharing and training. Here, we provide suggestions on how to align these tasks within the ELIXIR Platforms strategy, and on how to frame the activities of this new ELIXIR Community in the international context.

}, keywords = {Computational Biology, DNA Copy Number Variations, High-Throughput Nucleotide Sequencing, Humans}, issn = {2046-1402}, doi = {10.12688/f1000research.24887.1}, author = {Salgado, David and Armean, Irina M and Baudis, Michael and Beltran, Sergi and Capella-Gut{\'\i}errez, Salvador and Carvalho-Silva, Denise and Dominguez Del Angel, Victoria and Dopazo, Joaquin and Furlong, Laura I and Gao, Bo and Garcia, Leyla and Gerloff, Dietlind and Gut, Ivo and Gyenesei, Attila and Habermann, Nina and Hancock, John M and Hanauer, Marc and Hovig, Eivind and Johansson, Lennart F and Keane, Thomas and Korbel, Jan and Lauer, Katharina B and Laurie, Steve and Lesko{\v s}ek, Brane and Lloyd, David and Marqu{\'e}s-Bonet, Tom{\'a}s and Mei, Hailiang and Monostory, Katalin and Pi{\~n}ero, Janet and Poterlowicz, Krzysztof and Rath, Ana and Samarakoon, Pubudu and Sanz, Ferran and Saunders, Gary and Sie, Daoud and Swertz, Morris A and Tsukanov, Kirill and Valencia, Alfonso and Vidak, Marko and Yenyxe Gonz{\'a}lez, Cristina and Ylstra, Bauke and B{\'e}roud, Christophe} } @article {665, title = {Optimised molecular genetic diagnostics of Fanconi anaemia by whole exome sequencing and functional studies.}, journal = {J Med Genet}, volume = {57}, year = {2020}, month = {2020 04}, pages = {258-268}, abstract = {

PURPOSE: Patients with Fanconi anaemia (FA), a rare DNA repair genetic disease, exhibit chromosome fragility, bone marrow failure, malformations and cancer susceptibility. FA molecular diagnosis is challenging since FA is caused by point mutations and large deletions in 22 genes following three heritability patterns. To optimise FA patients{\textquoteright} characterisation, we developed a simplified but effective methodology based on whole exome sequencing (WES) and functional studies.

METHODS: 68 patients with FA were analysed by commercial WES services. Copy number variations were evaluated by sequencing data analysis with RStudio. To test missense variants, wt FANCA cDNA was cloned and variants were introduced by site-directed mutagenesis. Vectors were then tested for their ability to complement DNA repair defects of a FANCA-KO human cell line generated by TALEN technologies.

RESULTS: We identified 93.3\% of mutated alleles including large deletions. We determined the pathogenicity of three FANCA missense variants and demonstrated that two variants reported in mutations databases as {\textquoteright}affecting functions{\textquoteright} are SNPs. Deep analysis of sequencing data revealed patients{\textquoteright} true mutations, highlighting the importance of functional analysis. In one patient, no pathogenic variant could be identified in any of the 22 known FA genes, and in seven patients, only one deleterious variant could be identified (three patients each with FANCA and FANCD2 and one patient with FANCE mutations) CONCLUSION: WES and proper bioinformatics analysis are sufficient to effectively characterise patients with FA regardless of the rarity of their complementation group, type of mutations, mosaic condition and DNA source.

}, keywords = {Cell Line, DNA Copy Number Variations, DNA Repair, DNA-Binding Proteins, Fanconi Anemia, Fanconi Anemia Complementation Group A Protein, Female, Gene Knockout Techniques, Genetic Predisposition to Disease, Humans, Male, Mutation, Missense, Polymorphism, Single Nucleotide, whole exome sequencing}, issn = {1468-6244}, doi = {10.1136/jmedgenet-2019-106249}, author = {Bogliolo, Massimo and Pujol, Roser and Aza-Carmona, Miriam and Mu{\~n}oz-Subirana, N{\'u}ria and Rodriguez-Santiago, Benjamin and Casado, Jos{\'e} Antonio and Rio, Paula and Bauser, Christopher and Reina-Castill{\'o}n, Judith and Lopez-Sanchez, Marcos and Gonzalez-Quereda, Lidia and Gallano, Pia and Catal{\'a}, Albert and Ruiz-Llobet, Ana and Badell, Isabel and Diaz-Heredia, Cristina and Hladun, Raquel and Senent, Leonort and Argiles, Bienvenida and Bergua Burgues, Juan Miguel and Ba{\~n}ez, Fatima and Arrizabalaga, Beatriz and L{\'o}pez Almaraz, Ricardo and Lopez, Monica and Figuera, {\'A}ngela and Molin{\'e}s, Antonio and P{\'e}rez de Soto, Inmaculada and Hernando, In{\'e}s and Mu{\~n}oz, Juan Antonio and Del Rosario Marin, Maria and Balma{\~n}a, Judith and Stjepanovic, Neda and Carrasco, Estela and Cuesta, Isabel and Cosuelo, Jos{\'e} Miguel and Regueiro, Alexandra and Moraleda Jimenez, Jos{\'e} and Galera-Mi{\~n}arro, Ana Maria and Rosi{\~n}ol, Laura and Carri{\'o}, Anna and Bel{\'e}ndez-Bieler, Cristina and Escudero Soto, Antonio and Cela, Elena and de la Mata, Gregorio and Fern{\'a}ndez-Delgado, Rafael and Garcia-Pardos, Maria Carmen and S{\'a}ez-Villaverde, Raquel and Barraga{\~n}o, Marta and Portugal, Raquel and Lendinez, Francisco and Hernadez, Ines and Vagace, Jos{\'e} Manue and Tapia, Maria and Nieto, Jos{\'e} and Garcia, Marta and Gonzalez, Macarena and Vicho, Cristina and Galvez, Eva and Valiente, Alberto and Antelo, Maria Luisa and Ancliff, Phil and Garc{\'\i}a, Francisco and Dopazo, Joaquin and Sevilla, Julian and Paprotka, Tobias and P{\'e}rez-Jurado, Luis Alberto and Bueren, Juan and Surralles, Jordi} } @article {705, title = {SMN1 copy-number and sequence variant analysis from next-generation sequencing data.}, journal = {Hum Mutat}, volume = {41}, year = {2020}, month = {2020 12}, pages = {2073-2077}, abstract = {

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.

}, keywords = {Base Sequence, DNA Copy Number Variations, High-Throughput Nucleotide Sequencing, Humans, Reproducibility of Results, Software, Survival of Motor Neuron 1 Protein}, issn = {1098-1004}, doi = {10.1002/humu.24120}, author = {L{\'o}pez-L{\'o}pez, Daniel and Loucera, Carlos and Carmona, Rosario and Aquino, Virginia and Salgado, Josefa and Pasalodos, Sara and Miranda, Mar{\'\i}a and Alonso, {\'A}ngel and Dopazo, Joaquin} } @article {452, title = {Improving the management of Inherited Retinal Dystrophies by targeted sequencing of a population-specific gene panel.}, journal = {Sci Rep}, volume = {6}, year = {2016}, month = {2016 Apr 01}, pages = {23910}, abstract = {

Next-generation sequencing (NGS) has overcome important limitations to the molecular diagnosis of Inherited Retinal Dystrophies (IRD) such as the high clinical and genetic heterogeneity and the overlapping phenotypes. The purpose of this study was the identification of the genetic defect in 32 Spanish families with different forms of IRD. With that aim, we implemented a custom NGS panel comprising 64 IRD-associated genes in our population, and three disease-associated intronic regions. A total of 37 pathogenic mutations (14 novels) were found in 73\% of IRD patients ranging from 50\% for autosomal dominant cases, 75\% for syndromic cases, 83\% for autosomal recessive cases, and 100\% for X-linked cases. Additionally, unexpected phenotype-genotype correlations were found in 6 probands, which led to the refinement of their clinical diagnoses. Furthermore, intra- and interfamilial phenotypic variability was observed in two cases. Moreover, two cases unsuccessfully analysed by exome sequencing were resolved by applying this panel. Our results demonstrate that this hypothesis-free approach based on frequently mutated, population-specific loci is highly cost-efficient for the routine diagnosis of this heterogeneous condition and allows the unbiased analysis of a miscellaneous cohort. The molecular information found here has aid clinical diagnosis and has improved genetic counselling and patient management.

}, keywords = {Alleles, Computer Simulation, DNA Copy Number Variations, DNA Mutational Analysis, Eye Proteins, Gene Library, Genetic Association Studies, Genetic Heterogeneity, Genetic Therapy, High-Throughput Nucleotide Sequencing, Humans, mutation, Phenotype, Retinal Dystrophies}, issn = {2045-2322}, doi = {10.1038/srep23910}, author = {Bravo-Gil, Nereida and M{\'e}ndez-Vidal, Cristina and Romero-P{\'e}rez, Laura and Gonz{\'a}lez-del Pozo, Mar{\'\i}a and Rodr{\'\i}guez-de la R{\'u}a, Enrique and Dopazo, Joaquin and Borrego, Salud and Anti{\v n}olo, Guillermo} }