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Alnylam identifies gene to lower abdominal fat and decrease cardiovascular risk

Pharmaceutical Technology

Alnylam Pharmaceuticals and collaborators have identified rare mutations in the INHBE gene that is expressed in the liver, related to a lower waist-to-hip ratio for body mass index (BMI), which is often used as an indicator of abdominal fat and is correlated with the risk of type 2 diabetes (T2D) and coronary heart disease.

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.

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Q&A: Gene therapy opportunities from long-read sequencing 

Drug Discovery World

Breakthroughs in gene therapy are only possible with an exact understanding of the genetic underpinnings of disease. To develop safe and effective gene therapies, researchers need confidence that genomic data is both complete and accurate. Recent years have seen a great deal of progress in both short- and long-read sequencing.

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Reflecting on ELRIG’s Drug Discovery 2022 

Drug Discovery World

The DDW team spent 4-5 October, 2022 at ELRIG’s annual meeting, Drug Discovery 2022, which remains Europe’s largest meeting for life sciences industry professionals and took place at ExCel, London, UK. Drug Discovery 2022: The numbers . Drug Discovery 2022: The numbers . Of those delegates, 75% work in drug discovery.

Drugs 52
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Study reveals first genetic links in ME and Chronic Fatigue Syndrome

Drug Discovery World

The study also identified similarities with genes that are believed to be associated with multiple sclerosis (MS) and long Covid. Using the PrecisionLife platform the study identified 14 novel genetic associations with ME/CFS from the UK Biobank cohort. Copyright: PrecisionLife. Similarities to long Covid.

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Artificial intelligence could be new blueprint for precision drug discovery

The Pharma Data

online issue of Nature Communications, researchers at University of California San Diego School of Medicine describe a new approach that uses machine learning to hunt for disease targets and then predicts whether a drug is likely to receive FDA approval. the success rates in drug discovery?are

Drugs 52
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Alnylam finds belly fat gene and drug target in UK Biobank study

pharmaphorum

Alnylam Pharma has made a name for itself, developing gene-silencing therapies for rare disorders, but its latest discovery could take it into a much larger category – metabolic and cardiovascular disease. Transgenic mice in which the gene has been deleted have improved control of blood glucose and insulin sensitivity.