Solve-RD: systematic pan-European data sharing and collaborative analysis to solve rare diseases.

For the first time in Europe hundreds of rare disease (RD) experts team up to actively share and jointly analyse existing patient's data. Solve-RD is a Horizon 2020-supported EU flagship project bringing together >300 clinicians, scientists, and patient representatives of 51 sites from 15 countries. Solve-RD is built upon a core group of four European Reference Networks (ERNs; ERN-ITHACA, ERN-RND, ERN-Euro NMD, ERN-GENTURIS) which annually see more than 270,000 RD patients with respective pathologies. The main ambition is to solve unsolved rare diseases for which a molecular cause is not yet known. This is achieved through an innovative clinical research environment that introduces novel ways to organise expertise and data. Two major approaches are being pursued (i) massive data re-analysis of >19,000 unsolved rare disease patients and (ii) novel combined -omics approaches. The minimum requirement to be eligible for the analysis activities is an inconclusive exome that can be shared with controlled access. The first preliminary data re-analysis has already diagnosed 255 cases form 8393 exomes/genome datasets. This unprecedented degree of collaboration focused on sharing of data and expertise shall identify many new disease genes and enable diagnosis of many so far undiagnosed patients from all over Europe

Solving unsolved rare neurological diseases-a Solve-RD viewpoint.

Funder: Durch Princess Beatrix Muscle Fund Durch Speeren voor Spieren Muscle FundFunder: University of Tübingen Medical Faculty PATE programFunder: European Reference Network for Rare Neurological Diseases | 739510Funder: European Joint Program on Rare Diseases (EJP-RD COFUND-EJP) | 44140962

Twist exome capture allows for lower average sequence coverage in clinical exome sequencing

Background Exome and genome sequencing are the predominant techniques in the diagnosis and research of genetic disorders. Sufficient, uniform and reproducible/consistent sequence coverage is a main determinant for the sensitivity to detect single-nucleotide (SNVs) and copy number variants (CNVs). Here we compared the ability to obtain comprehensive exome coverage for recent exome capture kits and genome sequencing techniques. Results We compared three different widely used enrichment kits (Agilent SureSelect Human All Exon V5, Agilent SureSelect Human All Exon V7 and Twist Bioscience) as well as short-read and long-read WGS. We show that the Twist exome capture significantly improves complete coverage and coverage uniformity across coding regions compared to other exome capture kits. Twist performance is comparable to that of both short- and long-read whole genome sequencing. Additionally, we show that even at a reduced average coverage of 70× there is only minimal loss in sensitivity for SNV and CNV detection. Conclusion We conclude that exome sequencing with Twist represents a significant improvement and could be performed at lower sequence coverage compared to other exome capture techniques

Solving patients with rare diseases through programmatic reanalysis of genome-phenome data.

Funder: EC | EC Seventh Framework Programm | FP7 Health (FP7-HEALTH - Specific Programme "Cooperation": Health); doi: https://doi.org/10.13039/100011272; Grant(s): 305444, 305444Funder: Ministerio de Economía y Competitividad (Ministry of Economy and Competitiveness); doi: https://doi.org/10.13039/501100003329Funder: Generalitat de Catalunya (Government of Catalonia); doi: https://doi.org/10.13039/501100002809Funder: EC | European Regional Development Fund (Europski Fond za Regionalni Razvoj); doi: https://doi.org/10.13039/501100008530Funder: Instituto Nacional de Bioinformática ELIXIR Implementation Studies Centro de Excelencia Severo OchoaFunder: EC | EC Seventh Framework Programm | FP7 Health (FP7-HEALTH - Specific Programme "Cooperation": Health)Reanalysis of inconclusive exome/genome sequencing data increases the diagnosis yield of patients with rare diseases. However, the cost and efforts required for reanalysis prevent its routine implementation in research and clinical environments. The Solve-RD project aims to reveal the molecular causes underlying undiagnosed rare diseases. One of the goals is to implement innovative approaches to reanalyse the exomes and genomes from thousands of well-studied undiagnosed cases. The raw genomic data is submitted to Solve-RD through the RD-Connect Genome-Phenome Analysis Platform (GPAP) together with standardised phenotypic and pedigree data. We have developed a programmatic workflow to reanalyse genome-phenome data. It uses the RD-Connect GPAP's Application Programming Interface (API) and relies on the big-data technologies upon which the system is built. We have applied the workflow to prioritise rare known pathogenic variants from 4411 undiagnosed cases. The queries returned an average of 1.45 variants per case, which first were evaluated in bulk by a panel of disease experts and afterwards specifically by the submitter of each case. A total of 120 index cases (21.2% of prioritised cases, 2.7% of all exome/genome-negative samples) have already been solved, with others being under investigation. The implementation of solutions as the one described here provide the technical framework to enable periodic case-level data re-evaluation in clinical settings, as recommended by the American College of Medical Genetics

A Solve-RD ClinVar-based reanalysis of 1522 index cases from ERN-ITHACA reveals common pitfalls and misinterpretations in exome sequencing

Purpose Within the Solve-RD project (https://solve-rd.eu/), the European Reference Network for Intellectual disability, TeleHealth, Autism and Congenital Anomalies aimed to investigate whether a reanalysis of exomes from unsolved cases based on ClinVar annotations could establish additional diagnoses. We present the results of the “ClinVar low-hanging fruit” reanalysis, reasons for the failure of previous analyses, and lessons learned. Methods Data from the first 3576 exomes (1522 probands and 2054 relatives) collected from European Reference Network for Intellectual disability, TeleHealth, Autism and Congenital Anomalies was reanalyzed by the Solve-RD consortium by evaluating for the presence of single-nucleotide variant, and small insertions and deletions already reported as (likely) pathogenic in ClinVar. Variants were filtered according to frequency, genotype, and mode of inheritance and reinterpreted. Results We identified causal variants in 59 cases (3.9%), 50 of them also raised by other approaches and 9 leading to new diagnoses, highlighting interpretation challenges: variants in genes not known to be involved in human disease at the time of the first analysis, misleading genotypes, or variants undetected by local pipelines (variants in off-target regions, low quality filters, low allelic balance, or high frequency). Conclusion The “ClinVar low-hanging fruit” analysis represents an effective, fast, and easy approach to recover causal variants from exome sequencing data, herewith contributing to the reduction of the diagnostic deadlock

Natural history of hepatitis C virus infection in a cohort of asymptomatic post-transfused subjects

Background & aims. Studies about the natural history of hepatitis C virus (HCV) infection report variable progression to cirrhosis depending on study design. Retrospective cross-sectional liver clinic studies overestimate the rate of fibrosis progression due to inclusion of patients with more severe disease leaving mild and asymptomatic patients underrepresented. We evaluated fibrosis progression in a group of “healthy” asymptomatic subjects, attending to a voluntary campaign for the detection of HCV infection.Material and methods. A detection campaign was launched on subjects transfused before 1993. Of 1699 volunteers, 61(3.6%) had HCV infection. A liver biopsy was performed in 40 (65%). Assessed risk factors for liver fibrosis were: sex, body mass index, alcohol consumption (> 20 g/d♀ - >40g/d♂), genotype, HLA-DRB1 alleles, present age, age at infection and duration of infection.Results. 25 (62.5%) were women with a median age of 52.5 years. The median duration of infection was 21.5 years with a median age at infection of 27 years. As regards fibrosis, 25 (62.5%) had a Low Stage (F0-F1), 8 patients, 20%, had severe fibrosis, one patient (2.5%) had cirrhosis. Alcohol consumption was the only risk factor associated with fibrosis progression.Conclusions. The low progression to cirrhosis may be explained by the clinical characteristics of ourpopulation: asymptomatic middle-aged “healthy” subjects infected at young age. The progression to severe fibrosis was noticeable; hence a longer follow-up might demonstrate changes in this outcome. Significant alcohol consumption clearly worsens the natural history of HCV infection; this is no so evident for occasional or mild alcohol consumers

I Jornadas de transferencia Investigación y Sociedad

Actas de congresoEn estas Jornadas se pone el acento en los aportes de las investigaciones que se realizan en la FAUD tanto a la docencia de grado y posgrado como a la sociedad en su conjunto. Las universidades nacionales son las responsables de avizorar la necesidad creciente de buscar nuevos vínculos con impacto social, diferenciados de las nrmas del mercado, de tal manera que las reposiciones en relación a sus labores prioritarias. La búsqueda de soluciones concretas por las instituciones de estudios superiores a las problemáticas urgentes de todos los sectores sociales se convierte en la clave para la formulación de alternativas de respuesta. La democratización del conocimiento a través de la divulgación y valoración de las actividades científicas, tecnológicas y artísticas de la Universidad traslada a la sociedad y a su dirigencia la materialización, la ideología y el proyecto de país que se construye. Cada trabajo recogido en esta obra nos sirve para contextualizar el quehacer en las aulas de grado y posgrado, los cursos y conferencias de actualización, profundización y perfeccionamiento, y la transferencia al medio. Los textos están marcados por la heterogeneidad de los temas materia de investigación de la Facultad de Arquitectura, Urbanismo y Diseño