{"id":188437,"date":"2025-09-28T21:56:30","date_gmt":"2025-09-28T21:56:30","guid":{"rendered":"https:\/\/www.newsbeep.com\/us\/188437\/"},"modified":"2025-09-28T21:56:30","modified_gmt":"2025-09-28T21:56:30","slug":"alnylam-joins-illumina-and-nashbio-for-faster-more-inclusive-drug-discovery","status":"publish","type":"post","link":"https:\/\/www.newsbeep.com\/us\/188437\/","title":{"rendered":"Alnylam Joins Illumina and NashBio for Faster, More Inclusive Drug Discovery"},"content":{"rendered":"<p>            <img loading=\"lazy\" decoding=\"async\" width=\"683\" height=\"511\" class=\"entry-thumb\" src=\"https:\/\/www.newsbeep.com\/us\/wp-content\/uploads\/2025\/09\/GettyImages-886907934.jpg\"   alt=\"Genetic research, pipette and DNA samples on DNA autoradiogram illustrating research into life sciences and genetic modification\" title=\"886907934\"\/>Credit: Andrew Brookes \/ Connect Images<\/p>\n<p>When Alnylam Pharmaceuticals announced it would join the Alliance for Genomic Discovery (AGD), formed by Illumina and Nashville Biosciences, as the ninth biopharma member, the move signaled more than a new partnership. It marked another step toward reshaping precision medicine with large-scale, ancestrally diverse genomic data and detailed clinical records\u2014resources long dominated by European cohorts.<\/p>\n<p>\u201cGenetic evidence is one of the most powerful tools we have to improve drug discovery,\u201d Will J. Ferguson, vice president of pharmaceutical and biotech collaborations at Illumina, told Inside Precision Medicine. \u201cAGD was designed to bring together all the pieces\u2014sequencing infrastructure, informatics, and deep clinical data\u2014to drive discoveries that can lead to better, faster treatments.\u201d<\/p>\n<p>A new kind of biobank<\/p>\n<p>Traditional population biobanks like the UK Biobank have been invaluable but are limited in diversity. Ferguson credits UK Biobank\u2019s leadership while noting that its roughly 500,000 participants are \u201c96\u201397% European and primarily healthy volunteers with self-reported data.\u201d AGD, by contrast, pulls samples from health systems across the Southeastern United States. African Americans account for about 20% of its non-European participants, and each de-identified record includes around 11 years of electronic medical records (EMRs).<\/p>\n<p>One of Ferguson\u2019s most emphatic points is that genomic diversity is not a matter of optics but of scientific necessity. \u201cThe lion\u2019s share of genetic data in the field today comes from people of European descent. Full stop,\u201d he said. \u201cAncestral diversity is a big driver for novel discovery\u2014signals we haven\u2019t seen before.\u201d Ferguson predicts that biopharma companies will increasingly invest in underrepresented populations because they hold keys to understanding disease biology more fully. This shift could improve drug efficacy and equity: therapies developed and tested predominantly in European populations may not perform the same across ancestries.<\/p>\n<p>Moreover, the combination of diversity and clinical depth allows for studying disease progression and associations at a level of granularity unavailable elsewhere. For example, African American populations in the Southeast have higher prevalence rates of hypertension and certain cardiometabolic conditions. By examining their genetic variants alongside long EMR histories, AGD researchers can probe the molecular underpinnings of these disparities. This combination\u2014ancestral diversity, disease enrichment, and long-term clinical histories\u2014allows scientists to ask questions that were previously out of reach: How do cardiometabolic disorders progress differently across ancestries? What genetic signals predict neurodegenerative disease trajectories? Can rare variants reveal entirely new drug targets?<\/p>\n<p>AGD\u2019s infrastructure makes those explorations possible. Illumina\u2019s DRAGEN pipeline and Connected Analytics platform process and store the data, while deCODE genetics\u2014an Amgen subsidiary renowned for population genomics\u2014handled sequencing at record speed. \u201cdeCODE delivered ahead of schedule earlier this year,\u201d Ferguson said. \u201cIt was one of the fastest whole genome projects on record.\u201d Building and maintaining such a resource is not trivial. \u201cCapital is absolutely a consideration,\u201d Ferguson acknowledged. Sourcing samples, processing assays, and managing data at scale all require significant investment. Public-private partnerships, like the U.K. government\u2019s backing of UK Biobank, are one approach. AGD, however, has been privately funded so far, with Illumina and its biopharma partners shouldering costs.<\/p>\n<p>Diversity: the cornerstone of discovery<\/p>\n<p>Ferguson believes this model works because the return on investment\u2014faster, genetically validated drug targets\u2014is tangible. Studies have repeatedly shown that drug programs supported by genetic evidence are more than twice as likely to succeed, including a milestone <a href=\"https:\/\/www.nature.com\/articles\/ng.3314\" target=\"_blank\" rel=\"noopener nofollow\">Nature Genetics paper<\/a> in 2015 from Matt Nelson, PhD, who had a genetics role at GSK at the time and is now vice president, genetics and genomics, Deerfield Discovery and Development. Last year, Nelson provided an updated analysis in a <a href=\"https:\/\/www.nature.com\/articles\/s41586-024-07316-0\" target=\"_blank\" rel=\"noopener nofollow\">Nature paper<\/a> in April 2024 that demonstrated a 2.6-fold increase in likelihood of success when you have genetic evidence at the beginning of the drug discovery journey, with even higher rates for certain diseases. \u201cThat\u2019s why biopharma companies are motivated to participate,\u201d Ferguson said. \u201cIt\u2019s about increasing the odds of success and reducing time to market for life-saving therapies.\u201d<\/p>\n<p>Speed is a recurring theme for Ferguson. Illumina built AGD as a \u201cshovel-ready\u201d project so partners can transition directly from sequencing to discovery. The recent <a href=\"https:\/\/www.nature.com\/articles\/s41467-025-57753-2\" target=\"_blank\" rel=\"noopener nofollow\">Nature Communications paper<\/a> on a rare FRS3 variant illustrates this agility: AGD data revealed a missense mutation associated with reduced body mass index and protection against obesity. Sequencing finished in Q1 2025, and the peer-reviewed study was published by May. \u201cThat timeline demonstrates what\u2019s possible,\u201d Ferguson said. \u201cWhen you have the right partners, the right technology stack, and a diverse dataset, you can move from raw genomes to actionable insights in a matter of months.\u201d<\/p>\n<p>The obesity finding is not an isolated win. It is evidence that AGD\u2019s design\u2014combining deep clinical records with genetic diversity\u2014can reveal signals invisible in conventional datasets. Ferguson expects more publications, especially as Alnylam\u2019s involvement adds another tranche of genomes, which is already being utilized by AbbVie, Amgen, AstraZeneca, Merck, Bristol Myers Squibb, GSK (GlaxoSmithKline), and Novo Nordisk. Alnylam is best known as the pioneer of RNA interference (RNAi) therapeutics. Its recent success expanding its TTR amyloidosis treatment label underscores its interest in genetic validation. \u201cFor an RNAi company, the genetic sequence is literally the target,\u201d Ferguson explained. \u201cAlnylam saw AGD\u2019s attributes as a strategic advantage.\u201d By investing in AGD, Alnylam gains access to a dataset that could reveal novel genetic associations\u2014especially those missed in European-heavy studies. Those insights could guide the design of small interfering RNA (siRNA) drugs that silence disease-causing genes more effectively, or point to entirely new therapeutic pathways.<\/p>\n<p>Moving beyond genomics<\/p>\n<p>Illumina\u2019s ambitions go well beyond DNA. Ferguson described plans to layer proteomics and other \u201cmulti-omic\u201d modalities onto AGD\u2019s genomes. When protein measurements are combined with whole-genome sequences, researchers can identify protein quantitative trait loci (pQTLs)\u2014links between genetic variants and protein expression levels. Those connections provide a functional bridge between genotype and disease. \u201cYou might find a loss-of-function variant and see directly how it alters protein abundance,\u201d Ferguson said. \u201cThat\u2019s incredibly valuable for drug developers because proteins are often the therapeutic targets.\u201d UK Biobank has already expanded into proteomics, and Ferguson says AGD intends to follow suit. Adding single-cell transcriptomics is another step: Illumina\u2019s 2023 acquisition of Fluent Biosciences, a single-cell platform company, sets the stage for integrating cell-level expression data into AGD\u2019s resource. \u201cConsortia-style projects are ideal for these technologies,\u201d he noted.<\/p>\n<p>Another pillar of AGD\u2019s power is Illumina\u2019s artificial intelligence expertise. Led by Kyle Farh, MD, PhD, the Illumina AI Lab has built deep learning tools like SpliceAI, PrimateAI, and PromoterAI to predict the effects of genetic variants across the genome. These models will be applied directly to AGD data, helping partners prioritize variants for functional validation and drug targeting. \u201cWe\u2019re just scratching the surface,\u201d Ferguson said. As sample numbers grow from hundreds of thousands to millions, statistical power will rise, allowing for finer associations between rare variants and disease. Such analyses could unearth previously unknown pathogenic variants or clarify the clinical significance of ambiguous mutations\u2014critical information for both researchers and patients.<\/p>\n<p>A biobank filled world<\/p>\n<p>AGD\u2019s early results, like the FRS3 obesity finding, suggest that approach works. Ferguson expects additional breakthroughs as more samples\u2014bolstered by Alnylam\u2019s investment\u2014are sequenced by early next year. The alliance is also eyeing expansion into other underrepresented populations worldwide. Meanwhile, Illumina will continue to refine the technologies that underpin AGD. DRAGEN\u2019s variant calling algorithms, Connected Analytics\u2019 secure data sharing, and Fluent Biosciences\u2019 single-cell tools are all part of a \u201cfull stack\u201d Illumina can deploy rapidly. \u201cWe\u2019ve essentially built a turnkey workflow,\u201d Ferguson said. \u201cThat means biopharma partners can focus on discovery, not infrastructure.\u201d<\/p>\n<p>For patients, the promise of AGD is more personal. Faster, more effective drug development could mean better treatments for cardiometabolic disease, neurodegenerative disorders, rare genetic syndromes, and more. Genetic discoveries in diverse populations may lead to therapies that work across ancestries and avoid historical biases in clinical research. Moreover, detailed EMR data could help researchers understand not just which variants influence disease risk, but how those risks unfold over time. Such insights could improve screening guidelines, identify high-risk patients earlier, and tailor interventions more precisely.<\/p>\n<p>Ferguson describes AGD as a \u201cflagship project\u201d requiring extensive coordination. Bringing Alnylam on board underscores its growing momentum. \u201cWe\u2019re going full steam ahead,\u201d he said. \u201cWith more genomes, more diversity, and more modalities, the next few years will be incredibly impactful for precision medicine.\u201d The AGD\u2019s collaborative spirit\u2014academic medical centers, sequencing giants, AI experts, and drug developers\u2014mirrors the complexity of modern biomedical challenges. No single entity can tackle them alone. But together, they can shorten the path from genetic discovery to clinical application.<\/p>\n<p>The AGD is still young, but its trajectory is clear. As more companies like Alnylam join, the scale and diversity of the dataset will grow, and so will its potential to transform medicine. Ferguson envisions a future where AGD and similar initiatives feed into a global, interoperable network of genomic and multi-omic resources. \u201cThe more data we have\u2014diverse, well-annotated data\u2014the better we can understand human biology and develop therapies that truly work for everyone,\u201d he said. Alnylam\u2019s move is therefore more than a business decision. It\u2019s a bet on a paradigm where diversity, data integration, and collaboration redefine what\u2019s possible in drug development. For patients waiting on new treatments, that bet could pay dividends measured not just in discoveries, but in healthier, longer lives.<\/p>\n<p>Illumina envisions a future where AGD data can be combined with other biobanks for meta-analyses across ancestries, diseases, and phenotypes. Using standardized variant calling (DRAGEN) and data storage (Connected Analytics) ensures compatibility. Such multi-biobank studies could amplify statistical power and reveal universal or ancestry-specific disease mechanisms. \u201cPulling together multiple sources is quite exciting,\u201d Ferguson said. \u201cIt means discoveries won\u2019t be siloed. Instead, they\u2019ll be part of a global effort to understand the human genome and apply that knowledge clinically.\u201d<\/p>\n","protected":false},"excerpt":{"rendered":"Credit: Andrew Brookes \/ Connect Images When Alnylam Pharmaceuticals announced it would join the Alliance for Genomic Discovery&hellip;\n","protected":false},"author":2,"featured_media":188438,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[50],"tags":[110226,181,110224,110227,90300,3635,79552,200,9171,110228,44225,110229,19242,2620,110225,79,19240,19241],"class_list":["post-188437","post","type-post","status-publish","format-standard","has-post-thumbnail","category-genetics","tag-alnylam-pharmaceuticals","tag-artificial-intelligence","tag-biobanks","tag-decode-genetics","tag-drug-development-pharmacology","tag-drug-discovery","tag-electronic-health-records","tag-genetics","tag-genomics","tag-illumina","tag-informatics","tag-nashville-biosciences","tag-news-features","tag-precision-medicine","tag-rna-based-therapeutics","tag-science","tag-topics","tag-translational-research"],"_links":{"self":[{"href":"https:\/\/www.newsbeep.com\/us\/wp-json\/wp\/v2\/posts\/188437","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.newsbeep.com\/us\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.newsbeep.com\/us\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/us\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/us\/wp-json\/wp\/v2\/comments?post=188437"}],"version-history":[{"count":0,"href":"https:\/\/www.newsbeep.com\/us\/wp-json\/wp\/v2\/posts\/188437\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/us\/wp-json\/wp\/v2\/media\/188438"}],"wp:attachment":[{"href":"https:\/\/www.newsbeep.com\/us\/wp-json\/wp\/v2\/media?parent=188437"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.newsbeep.com\/us\/wp-json\/wp\/v2\/categories?post=188437"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.newsbeep.com\/us\/wp-json\/wp\/v2\/tags?post=188437"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}