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Why early participant engagement is now a top priority in genetic disease research

pharmaphorum

In 2016, scientists behind a study called the Resilience Project analysed genetic data from 589,000+ people and found 13 adults who carried genetic variants that should have resulted in serious – even deadly – childhood disease, but who were apparently healthy. Giving participants something in return.

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Can genetic data be a magic bullet for drug R&D?

pharmaphorum

Ben Hargreaves finds that the vast amount of genetic data that exists today could help provide a faster, more targeted way of developing new drug candidates. The logical extension to this kind of approach is treating individual patients, with their individual genetic makeup.

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Estonia National Biobank to sequence 10,000 whole genomes 

Drug Discovery World

The university will also support the European Union’s 1+ Million Genomes initiative, which seeks to boost innovation in healthcare across Europe. Driving new understanding 10,000 whole human genomes will be sequenced and analysed by the Institute of Genomics at the University of Tartu.

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Biorepositories as a Guiding Resource for Research & Drug Discovery

XTalks

The power of leveraging clinical data to decipher disease mechanisms and fuel drug discovery has rapidly grown in the era of genomics and personalized medicine. Biobanks are used for the coordination of high-yield patient sample collection. Generation of strong research dataset cohorts must begin with high-quality clinical samples.

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HFpEF vs. HFrEF: How To Improve Heart Failure Drug Development

XTalks

New advances in heart failure genomics are helping to address this challenge. Experts from Servier and Genuity Science recently spoke on a webinar about using genomics data to drive drug development in heart failure and identify new targets for novel therapeutics. Watch this on-demand webinar to hear from these experts.

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How biomarkers can help discover new treatments for women’s health

Drug Discovery World

RA: You’ve recently announced a collaboration with the University of Oxford to access genotype data on women with endometriosis. We previously conducted a hypothesis-free study using genotype data from the UK Biobank, which resulted in the first mechanism-based stratification of endometriosis patients.

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