Opendata, web and dolomites


Emerging Simplex ORigins In ALS

Total Cost €


EC-Contrib. €






 EScORIAL project word cloud

Explore the words cloud of the EScORIAL project. It provides you a very rough idea of what is the project "EScORIAL" about.

effect    unbiased    patterns    models    pleiotropic    clear    mutation    therapeutic    cellular    heterogeneity    genomics    biological    unravel    disease    penetrance    nbsp    erc    collection    disproportionate    environmental    counselling    expressivity    lumping    trial    overlays    expression    considerably    dimensional    uses    understand    modifiers    diseases    epigenetic    genetic    blood    phenomena    my    diagnostic    clinical    sclerosis    patients    play    gene    exact    thousands    urgent    crispr    reclassify    risk    algorithms    rare    contribution    nor    monogenetic    imaging    3d    interact    interaction    reporter    screens    time    morphology    unmet    patient    amyotrophic    data    unexplained    of    genomic    successful    brain    simplex    dna    splitting    simply    profiles    translated    mri    mutations    lateral    als    continuum    frequency    folding    machine    lethal    cas9    integrates       c9orf72    identifies    drug    few    small    life    shown    causal    scope    created    assays    learning    variants    me   

Project "EScORIAL" data sheet

The following table provides information about the project.


Organization address
postcode: 3584 CX

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Netherlands [NL]
 Total cost 1˙980˙434 €
 EC max contribution 1˙980˙434 € (100%)
 Programme 1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
 Code Call ERC-2017-COG
 Funding Scheme ERC-COG
 Starting year 2018
 Duration (year-month-day) from 2018-07-01   to  2023-06-30


Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 


 Project objective

My aim is to understand the exact genetic contribution in every patient with Amyotrophic Lateral Sclerosis (ALS), a lethal disease with a life time risk of 0.3% and an urgent unmet therapeutic need. I have recently shown a disproportionate large contribution from low-frequency genetic variants in ALS. ALS is not simply a collection of unique rare diseases with a monogenetic cause nor is it a diagnostic continuum with a complex contribution of thousands of small effect factors. ALS is in-between, which I call “simplex”, where in each patient a few, considerably strong genetic factors with or without environmental factors are at play. ALS mutations are characterized by reduced penetrance, variable clinical expressivity, have specific pleiotropic clinical features and interact with environmental factors. These phenomena are unexplained, but provide me with important and new opportunities in order to unravel the clinical, genetic and biological heterogeneity in ALS. I have created new research fields to go an important step beyond the state of the art: Splitting by lumping uses novel machine learning algorithms to reclassify patients using clinical pleiotropic features, environmental factors and blood epigenetic profiles to identify novel ALS mutations. Imaging genomics overlays patterns in ALS-associated brain morphology on MRI with brain gene-expression patterns to find ALS mutations. ALS risk in 3D integrates data on three-dimensional folding of DNA with genetic data to identify causal mutations and mutation-to-mutation interaction. ALS genomic modifiers in 3D identifies modifiers of C9orf72 mutations through the development of cellular reporter assays and CRISPR-Cas9 based screens. Genomic findings are translated using cellular models which can be used for targeted and unbiased drug screens. If successful, my approaches can be applied beyond the scope of this ERC and will have a clear impact on clinical trial design and genetic counselling in ALS in particular.


year authors and title journal last update
List of publications.
2019 Egor Dolzhenko, Viraj Deshpande, Felix Schlesinger, Peter Krusche, Roman Petrovski, Sai Chen, Dorothea Emig-Agius, Andrew Gross, Giuseppe Narzisi, Brett Bowman, Konrad Scheffler, Joke J F A van Vugt, Courtney French, Alba Sanchis-Juan, Kristina Ibáñez, Arianna Tucci, Bryan R Lajoie, Jan H Veldink, F Lucy Raymond, Ryan J Taft, David R Bentley, Michael A Eberle
ExpansionHunter: a sequence-graph-based tool to analyze variation in short tandem repeat regions
published pages: 4754-4756, ISSN: 1367-4803, DOI: 10.1093/bioinformatics/btz431
Bioinformatics 35/22 2020-03-05
2019 Hannelore K. van der Burgh, Henk-Jan Westeneng, Jil M. Meier, Michael A. van Es, Jan H. Veldink, Jeroen Hendrikse, Martijn P. van den Heuvel, Leonard H. van den Berg
Cross-sectional and longitudinal assessment of the upper cervical spinal cord in motor neuron disease
published pages: 101984, ISSN: 2213-1582, DOI: 10.1016/j.nicl.2019.101984
NeuroImage: Clinical 24 2020-03-05
2019 Annelot M. Dekker, Frank P. Diekstra, Sara L. Pulit, Gijs H. P. Tazelaar, Rick A. van der Spek, Wouter van Rheenen, Kristel R. van Eijk, Andrea Calvo, Maura Brunetti, Philip Van Damme, Wim Robberecht, Orla Hardiman, Russell McLaughlin, Adriano Chiò, Michael Sendtner, Albert C. Ludolph, Jochen H. Weishaupt, Jesus S. Mora Pardina, Leonard H. van den Berg, Jan H. Veldink
Exome array analysis of rare and low frequency variants in amyotrophic lateral sclerosis
published pages: , ISSN: 2045-2322, DOI: 10.1038/s41598-019-42091-3
Scientific Reports 9/1 2020-03-05
2019 Rick A.A. van der Spek, Wouter van Rheenen, Sara L. Pulit, Kevin P. Kenna, Leonard H. van den Berg, Jan H. Veldink
The project MinE databrowser: bringing large-scale whole-genome sequencing in ALS to researchers and the public
published pages: 432-440, ISSN: 2167-8421, DOI: 10.1080/21678421.2019.1606244
Amyotrophic Lateral Sclerosis and Frontotemporal Degeneration 20/5-6 2020-03-05

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