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UK Biobank study “will shape drug discovery”

pharmaphorum

UK Biobank study “will shape drug discovery” Phil.Taylor Thu, 05/10/2023 - 10:09 Bookmark this

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UK agency pilots biobank to study links between genetics and drug side effects

Pharmaceutical Technology

The Medicines and Healthcare products Regulatory Agency (MHRA) aims to launch a pilot genetic biobank that will gather patient data to associate drug-related adverse events to their genetic makeup. The Yellow Card biobank will launch as a joint venture with the UK-government funded entity Genomics England on June 1.

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AstraZeneca reveals new research to improve drug discovery

Pharma Times

The study used data from 50,000 people in the UK Biobank - News - PharmaTimes

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Alnylam finds belly fat gene and drug target in UK Biobank study

pharmaphorum

The finding came from an analysis of sequencing data from more than 360,000 individuals in the UK Biobank , which contains genetic and health information from half a million UK participants. The post Alnylam finds belly fat gene and drug target in UK Biobank study appeared first on. Image by Bruno /Germany from Pixabay .

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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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Alnylam identifies gene to lower abdominal fat and decrease cardiovascular risk

Pharmaceutical Technology

Using data from the UK Biobank database, genomic sequencing data for 360,000 individuals were obtained and the findings were confirmed in animal models that demonstrated a higher expression of the INHBE gene in obese monkeys when compared to more lean monkeys.

Gene 130
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Can genetic data be a magic bullet for drug R&D?

pharmaphorum

Drug development has long been an issue for the pharma industry, due to the expense and the high failure rate of potential treatments. 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.