Cel 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. Dziedzina nauki natural sciencesbiological sciencesgeneticsDNAnatural sciencesbiological sciencesgeneticsmutationnatural sciencescomputer and information sciencesartificial intelligencemachine learningmedical and health sciencesbasic medicineneurologyamyotrophic lateral sclerosis Słowa kluczowe EScORIAL Program(-y) H2020-EU.1.1. - EXCELLENT SCIENCE - European Research Council (ERC) Main Programme Temat(-y) ERC-2017-COG - ERC Consolidator Grant Zaproszenie do składania wniosków ERC-2017-COG Zobacz inne projekty w ramach tego zaproszenia System finansowania ERC-COG - Consolidator Grant Instytucja przyjmująca UNIVERSITAIR MEDISCH CENTRUM UTRECHT Wkład UE netto € 1 980 434,00 Adres HEIDELBERGLAAN 100 3584 CX Utrecht Niderlandy Zobacz na mapie Region West-Nederland Utrecht Utrecht Rodzaj działalności Higher or Secondary Education Establishments Linki Kontakt z organizacją Opens in new window Strona internetowa Opens in new window Uczestnictwo w unijnych programach w zakresie badań i innowacji Opens in new window sieć współpracy HORIZON Opens in new window Koszt całkowity € 1 980 434,00 Beneficjenci (1) Sortuj alfabetycznie Sortuj według wkładu UE netto Rozwiń wszystko Zwiń wszystko UNIVERSITAIR MEDISCH CENTRUM UTRECHT Niderlandy Wkład UE netto € 1 980 434,00 Adres HEIDELBERGLAAN 100 3584 CX Utrecht Zobacz na mapie Region West-Nederland Utrecht Utrecht Rodzaj działalności Higher or Secondary Education Establishments Linki Kontakt z organizacją Opens in new window Strona internetowa Opens in new window Uczestnictwo w unijnych programach w zakresie badań i innowacji Opens in new window sieć współpracy HORIZON Opens in new window Koszt całkowity € 1 980 434,00
