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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.
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.
A 2015 study published in Nature Genetics found that the availability of human genetic data made investigational drugs twice as likely to pass pivotal trials and eventually be approved. Figure 1: The use of Mendelian randomization to validate genetic drug targets.
Biobanks are used for the coordination of high-yield patient sample collection. Moreover, biobanks are no longer passive biorepositories for accrual of samples and serve a more utilitarian function in identifying and coordinating specific research cohorts for longitudinal and prospective studies. Biobanking Models.
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