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          Genomics revolution
          Genomic Revolution

          The Investment Case for the Genomic Revolution

          17 April 2024

          8 Min Read

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          In our investment case for disruptive innovation, we outlined our five innovation platforms—AI, Robotics, Multiomic Sequencing, Public Blockchains and Energy Storage—that are converging and defining today’s technological era. In this piece, we focus on the transformative potential of Multiomic Sequencing that is driving the genomic revolution, as captured by our ARK Genomic Revolution UCITS ETF.

          Cells editing

          Introduction

          The quest to conquer the most perplexing medical challenges is now at the forefront of the healthcare industry. Today’s healthcare advancements are paving the way for significant breakthroughs in biotechnology and has led to a new era in precision medicine, disease prevention and personalised treatments. We believe investors have an opportunity to invest in the innovation that will redefine health, while also generating substantial economic value and returns.

          What is Multiomic Sequencing

          To understand Multiomic Sequencing, let’s first understand Genomic Sequencing. Genomic Sequencing is a process used to determine the complete DNA sequence of an organism’s genome. The genome is the entirety of an organism’s genetic material and it is encoded in its DNA.

          Multiomic Sequencing, by extension, is an approach in biological research and medicine that combines data from different “omics” fields, such as Genomics, Transcriptomics, Proteomics and Metabolomics, to gain a comprehensive understanding of the biological properties and functions of an organism. In simple terms, the Central Dogma1 of molecular biology is a theory stating that genetic information flows only in one direction, from DNA (the Genome) to RNA (the Transcriptome), to protein (the Proteome). Proteins carry out virtually all critical-to-life functions but, when altered, can cause disease.

          The Central Dogma Describes How Information Flows Downstream Through Biological Systems2

          The central dogma describes how information flows downstream through biological systems

          By better understanding the interactions between and among the pillars of the Central Dogma, we can improve our ability to make predictions, diagnoses and leaps of fundamental, biological insight. Medical researchers can uncover complex biological mechanisms, disease pathways and potential therapeutic targets, leading to more personalised and effective healthcare solutions. This integrated approach offers a more holistic view of an organism’s biological state, versus analysing each “ome” in isolation, in other words studying only one specific set of molecules at a time without considering the interactions with others.

          New therapeutic modalities are proliferating

          During the last thirty years, the number of therapeutic modalities with entirely new mechanisms of action has proliferated. Not only have they expanded the number of treatable diseases, but they have also improved efficacy and safety. In 2023, more than 25% of clinical trials were harnessing new therapeutic modalities.

          New Therapeutic Modalities are Proliferating3

          New therapeutic modalities are proliferating

          Precision therapies could reverse the downtrend in returns on R&D

          Given regulatory bottlenecks and legacy drug discovery methods, the return on therapeutic Research and Development (R&D) has been falling for nearly 25 years. This has increased the hurdle rate for new drug discovery R&D. But, according to the research of our accredited genomics team, novel therapeutic modalities and R&D methods, coupled with regulatory approval of precision therapies, could reverse this downward trend in return on investment in the pharmaceutical industry.

          Average Annual R&D and Incremental Revenue Attributable to Drugs Released4

          Average annual R&D and incremental revenue attributable to drugs released

          The value of curing rare diseases like sickle cell anaemia is high

          These advances in could accelerate the pace of scientific drug discovery, personalising medicine to cure disease instead of simply masking its symptoms. Among precision therapies, gene editing treatments like CRISPR-Cas9,have the potential to cure rare genetic diseases such as Sickle Cell Disease (SCD) and Beta Thalassemia. SCD is an inherited red blood cell disorder that affects more than 100,000 people in the US and 20 million people globally, primarily in Africa. Today, therapeutics account for ~16% of the total spent on treating SCD disease in the United States, but they have done little more than manage symptoms, as the life expectancy of SCD patients is only 56% that of the general population.

          SCD Healthcare Costs Over Average Patient Lifetime and Reasonable Cost for Sickle Cell Disease Cure5

          The value of curing rare diseases like sickle cell anemia is high

          In 2023, however, the medical community achieved a milestone with the first approvals for gene editing treatments for SCD and Beta Thalassemia in both the United States and Europe, signalling a new dawn for patients burdened by these conditions.6 Meanwhile, in the UK in 2022, a young leukaemia patient found hope through a pioneering T-cell therapy, marking another step forward in our battle against cancer.7

          Wright’s Law* predicted the cost declines in proteomics

          Mass spectrometry is an analytical technique that identifies the composition of a substance by ionising proteins and measuring their mass-to-charge ratios. As the number of proteomes analysed using this approach has increased, the costs associated with mass spectrometry have dropped significantly. This has unlocked new possibilities in medical research and diagnostics. Our research suggests that for untargeted Proteomics using mass spectrometry, the cost per sample is declining 23% at an annual rate, or ~11% for each cumulative doubling in the number of proteomes sequenced. This aligns with Wright’s Law which predicts that for every cumulative doubling of units produced, costs will decrease by a fixed percentage.

          Proteomic discoveries are also paving the way for the identification of novel biomarkers, which are measurable substances in an organism whose presence indicates some biological state or condition. This in turn enables the earlier detection and treatment for unique cancer subtypes.

          Wright’s Law has Predicted the Cost Decline for Untargeted Proteomics and US Trails with Patient Biomakers8

          Wright's law has predicted the cost decline of proteomics

          Single-cell RNA sequencing is revolutionising our understanding of cancer

          RNA sequencing is a high-throughput sequencing technique used to capture and sequence the complete set of RNA transcripts in a sample, providing insights into gene expression patterns and functional analysis of genes at a given moment. This approach is particularly helpful in developing our understanding in gene expression between healthy and cancerous cells, identifying potential biomarkers for diagnosis and uncovering targets for new treatments. While traditional gene expression analysis using RNA sequencing can measure only the expression of genes in a mixture of different cell types, single-cell RNA sequencing can delineate the expression of different cell types in a complex tissue sample. Theoretically, linking gene expression to specific cells increases the accuracy of measuring by 10x and cuts costs per gigabyte by 76%. In other words, single-cell RNA sequencing provides a more detailed view than traditional RNA sequencing, revealing the cellular heterogeneity within tissues, including tumors that could be masked in bulk RNA sequencing analyses.

          Process of the RNA Sequencing9

          Single-cell RNA sequencing is revolutionising our understanding of cancer

          Drug development costs could drop precipitously

          We believe advances in fundamental biology, AI and automation and trial design should lower preclinical drug development costs significantly. These technologies enable methods that eliminate less-promising candidates (i.e. potential treatments) earlier in the drug development process (and therefore prevent downstream misallocation of R&D) and create a larger chemical search space early in the discovery phase (i.e. more can be searched and tested earlier in the discovery process).

          During the next decade, companies leveraging these techniques fully should be able to lower their costs per regulatory approval (e.g., FDA) by almost 50%, in part by more than doubling the odds of success for those drug candidates that do enter clinical trials.

          R&D Cost Per Drug Approval and Clinical Success Probability of Different Efficiency Innovations10

          Drug Development Costs Could Drop Precipitously

          Sources: ARK Investment Management LLC, 2024. This ARK analysis is based on a range of external sources, which may be provided upon request. Forecasts are inherently limited and cannot be relied upon. For informational purposes only and should not be considered investment advice or a recommendation to buy, sell, or hold any particular security. Past performance is not indicative of future results. 

          Multiomics companies

          1. Twist Biosciences – Twist Biosciences focuses primarily on the synthesis of custom DNA sequences which are pivotal in various multiomic applications. Their technology is used for creating high-quality synthetic DNA and RNA for genetic research, which can play a crucial role in understanding complex biological networks and interactions in diseases. They provide tools and platforms that aid in genomics, transcriptomics and potentially other omic studies, supporting disease research and drug discovery processes.
          2. Exact Sciences – Exact Sciences is primarily known for its diagnostic tools and tests that leverage molecular biomarkers. Their work includes the development of non-invasive screening tests for cancer, such as the Cologuard test for colorectal cancer. In terms of multiomics, Exact Sciences uses genomic and epigenomic data to create and improve diagnostic methodologies, which are vital for early disease detection and monitoring, ultimately aiding in personalized treatment plans.
          3. Recursion Pharmaceuticals – Recursion Pharmaceuticals operates at the intersection of biology and technology, using automated, high-throughput imaging and analysis techniques to discover drugs more efficiently. They utilize a multiomic approach to map diseases and predict the effectiveness of drug candidates. Their platform integrates various types of biological data (genomic, transcriptomic, proteomic, etc.) to identify novel therapeutic targets and develop treatments primarily for rare genetic diseases and other conditions.

          Conclusion

          Investing in multiomic sequencing presents an unprecedented opportunity to propel the ongoing revolution in medicine and biotechnology. By integrating Genomics, Transcriptomics, Proteomics and Metabolomics, we unlock a deeper understanding of complex biological interactions, fuelling advancements in precision medicine and disease prevention. As new therapeutic modalities emerge and the potential to reverse R&D downtrends becomes clearer, investors stand on the cusp of a transformative era. Beyond the promise of curing rare diseases, Multiomic Sequencing signifies more than just personalised treatment—it signifies a fundamental shift in healthcare, highlighting the importance of holistic biological insights to tackle the most daunting medical challenges of our time.

          References

          1

          The central dogma of molecular biology is an explanation of the flow of genetic information within a biological system. It is often stated as DNA makes RNA and RNA makes protein. It was first stated by Francis Crick in 1957, then published in 1958. The Central Dogma states that once “information” has passed into protein it cannot get out again. in the nucleic acid or of amino acid residues in the protein.

          2

          Forecasts are inherently limited and cannot be relied upon. For informational purposes only and should not be considered investment advice, or a recommendation to buy, sell or hold any particular security. Source: Malone, Cindy S. “Central Dogma of Genetics – CSUN.EDU.” csun.edu, https://www.csun.edu/~cmalone/pdf360/Ch13-1transcription.pdf.

          3

          ARK Investment Management LLC, 2024. This ARK analysis is based on a range of external sources, which may be provided upon request. Forecasts are inherently limited and cannot be relied upon. For informational purposes only and should not be considered investment advice or a recommendation to buy, sell, or hold any particular security. Past performance is not indicative of future results.

          4

          ARK Investment Management LLC, 2024. This ARK analysis is based on a range of external sources, which may be provided upon request. Forecasts are inherently limited and cannot be relied upon. For informational purposes only and should not be considered investment advice or a recommendation to buy, sell, or hold any particular security. Past performance is not indicative of future results. 

          5

          ARK Investment Management LLC, 2024. This ARK analysis is based on a range of external sources, which may be provided upon request. Forecasts are inherently limited and cannot be relied upon. For informational purposes only and should not be considered investment advice or a recommendation to buy, sell, or hold any particular security. Past performance is not indicative of future results. 

          6

          National Library of Medicine, “Editorial: First Regulatory Approvals for CRISPR-Cas9 Therapeutic Gene Editing for Sickle Cell Disease and Transfusion-Dependent β-Thalassemia”, March 2024. Available at: https://pubmed.ncbi.nlm.nih.gov/38425279/#:~:text=On%208%20December%202023%2C%20the,transfusion%2Ddependent%20%C3%9F%2Dthalassemia

          7

          University College London, “Further hope for base-edited T-cell therapy to treat resistant leukaemia”, June 2023. Available at: https://www.ucl.ac.uk/news/2023/jun/further-hope-base-edited-t-cell-therapy-treat-resistant-leukaemia

          8

          Wright’s Law states that for every cumulative doubling of units produced, costs will fall by a constant percentage. Sources: ARK Investment Management LLC, 2024. This ARK analysis is based on a range of external sources, which may be provided upon request. Forecasts are inherently limited and cannot be relied upon. For informational purposes only and should not be considered investment advice or a recommendation to buy, sell, or hold any particular security. Past performance is not indicative of future results. 

          9

          ARK Investment Management LLC, 2024. This ARK analysis is based on a range of external sources, which may be provided upon request. Forecasts are inherently limited and cannot be relied upon. For informational purposes only and should not be considered investment advice or a recommendation to buy, sell, or hold any particular security. Past performance is not indicative of future results.

          10

          ARK Investment Management LLC, 2024. This ARK analysis is based on a range of external sources, which may be provided upon request. Forecasts are inherently limited and cannot be relied upon. For informational purposes only and should not be considered investment advice or a recommendation to buy, sell, or hold any particular security. Past performance is not indicative of future results. 

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