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April 2014- AXA professor of Risk prediction in age-related diseases
September 2009- ICREA Research Professor
Fátima Gebauer and Ben Lehner elected EMBO Members (16/06/2017)
Environmental ‘memories’ passed on for 14 generations (20/04/2017)
Scientists at the Centre for Genomic Regulation (CRG) in Barcelona and the Josep Carreras Leukaemia Research Institute and The Institute for Health Science Research Germans Trias i Pujol (IGTP) in Badalona, Spain, have discovered that the impact of environmental change can be passed on in the genes of tiny nematode worms for at least 14 generations – the most that has ever been seen in animals.
'Blobs' inside cells could be key to neurodegenerative diseases (16/06/2016)
Liquid droplets of molecules inside cells – similar to the blobs that form when oil and vinegar are mixed – could be behind neurodegenerative conditions such as Parkinson’s and motor neurone disease, according to a study from researchers at the Centre for Genomic Regulation (CRG) in Barcelona, published today in Cell Reports.
Ben Lehner awarded EMBO Gold Medal 2016 (25/05/2016)
Ben Lehner, group leader of the Genetic Systems laboratory at the EMBL-CRG Systems Biology Programme, ICREA research profesor and AXA professor of risk prediction in age-related diseases, has been awarded EMBO Gold Medal 2016.
‘DNA spellchecker’ means that our genes aren’t all equally likely to mutate and cause disease (23/02/2015)
A study that examined 17 million mutations in the genomes of 650 cancer patients concludes that large differences in mutation rates across the human genome are caused by the DNA repair machinery.
Age-related diseases and adversary risk analysis are the two new AXA Research Fund in Spain research chairs (04/04/2014)
The AXA Research Fund has created the permanent AXA Chair in Risk prediction in age-related diseases, given to Ben Lehner, from the Centre for Genomic Regulation (CRG); and...
To what extent is it possible to predict the phenotypic differences amongst individuals from their completely sequenced genomes? We use model organisms (yeast, worms) and computational analyses to understand when you can, and why you cannot, predict the biology of an individual from their genome sequence. Individuals are thankfully all different, and our aim is to understand how these differences originate in the interactions between genetic, environmental, life history, parental and stochastic sources of variation.
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|Puromycin vector sequences