Bioinformatics/IT
Life Technologies Fires Latest Sequencing Salvo
Another week, another drop in the cost of whole-genome sequencing. The latest announcement comes from Life Technologies, which yesterday announced the launch of its SOLiD 4 sequencing system. The details of the announcement are well-covered by GenomeWeb and Matthew Herper of Forbes.com.
In brief, the SOLiD 4 generates 100 gigabases of data per run at a cost of $6,000 per genome, a cost that appears to account solely for the consumables and does not include the cost of the machine or of interpreting all of that sequence data. According to GenomeWeb, Life is also promising an upgrade to its system – SOLiD 4hq – in the second half of 2010 which it expects to triple the data output at half of the cost: 300 megabases per run, $3,000 per sequence.
As for the impact of Life’s SOLiD 4 announcement, Matthew Herper hits the nail on the head:
But although the news is good for Life and will keep it in the game as the price of decoding the genetic code continues to drop, the specs of this new machine don’t seem good enough to upset Illumina’s place as the first choice of geneticists. “It’s a solid improvement, but I don’t think this changes the game,” says Isaac Ro, an analyst at Leerink Swan who follows both companies.
Meet the New deCODE, Same as the Old deCODE?
When deCODE genetics declared bankruptcy last fall it made a big splash. Geneticists pondered the future of the Icelandic biotechnology company’s one-of-a-kind genetic database and research platform, while investors and creditors wondered if they were going to be left out in the cold.
The initial bankruptcy buzz gave way over the past several months to a steady but relatively unremarkable stream of filings in the United States Bankruptcy Court for the District of Delaware (the case is No. 09-14063). Last week, however, brought a noteworthy docket entry, with the bankruptcy court approving the sale of most of deCODE genetics Inc.’s assets to Saga Investments LLC (pdf) – an investment company whose owners include Polaris Venture Partners, ARCH Venture Partners and genomic sequencing giant (and DTC genomics dabbler) Illumina.
A Holiday Fire-Sale? The sale, as approved by the bankruptcy court, sends substantially all of deCODE genetics Inc.’s assets – including its valuable genetic research engine that is driven in part by its access to its large Icelandic population database – to Saga Investments. As we described back in November, the bankruptcy sale process required a Stalking Horse bidder (Saga Investments) and a sale and auction process that, at least in theory, allowed other interested parties a chance to step in and make a bid for deCODE’s assets. No other bidders came forward, and the sale to Saga Investments was approved in just under two months.
GLR Update: In The Battle for Sequencing Supremacy, is 128 > $10,000?
The biggest industry developments last week were being announced at J.P. Morgan’s 28th Annual Healthcare Conference in San Francisco. The Genomics Law Report covered Illumina’s announcement of its new next-generation genomic sequencing machine (Another Stop on the Road to the $1,000 Genome), the HiSeq 2000, which promises to sequence an entire genome in one week for $10,000. Illumina’s $10,000 price point represents a new commercial sequencing benchmark, but it is unlikely to deter the company’s competitors. Those include sequencing-as-a-service provider Complete Genomics, which followed up Illumina’s announcement with one of its own, declaring that it plans to sequence up to one million human genomes worldwide over the next five years.
I’ve discussed previously the importance of analyzing just what you get when you purchase a whole-genome sequence. Illumina’s $10,000 genome does not include the cost of the machine or the necessary data analysis, whereas Complete Genomics offers human genome sequences starting at $20,000 while providing its own hardware and data analysis. However, as Matthew Herper of Forbes pointed out last week, the real number to pay attention to in Illumina’s announcement may have been 128—the number of new Illumina machines that BGI committed to buy—and not $10,000. As this recent survey of research labs by In Sequence suggests, current or so-called “second-generation” sequencing platforms, including the one utilized by the HiSeq 2000, continue to make inroads into sequencing centers worldwide, posing an obstacle to Complete Genomics and other newcomers attempting to crack the genomic sequencing space that might not be overcome on price alone.
Myriad Genetics, USPTO File Summary Judgment Motions in Gene Patent Case
Two of the defendants in Association for Molecular Pathology v. U.S. Patent and Trademark Office, the frontal attack on Myriad Genetics’ breast cancer gene patents organized by the American Civil Liberties Union, have now filed their own summary judgment motions. (Click through to read the memorandum in support of Myriad Genetics’ motion (pdf) filed on December 23 and the memorandum in support of the PTO’s motion (pdf) filed on December 24). As we explained in an earlier post, a summary judgment motion seeks to convince the trial judge that the facts are so clear-cut that there is no reason to go ahead with the trial—in legal jargon, that there is “no issue of material fact” that needs to be tried. This is the rare case in which both sides have asked for summary judgment (the plaintiffs filed their motion and supporting memorandum (pdf) back on August 26). The filings by both sides are not a surprise here, however, since the facts surrounding the challenged patents are largely undisputed and the real question is how to apply patent law to those facts.
Another Stop on the Road to the $1,000 Genome
The latest stop on the road to the $1,000 genome? San Francisco, CA, where J.P. Morgan’s 28th Annual Healthcare Conference is in full swing. There is an abundance of real-time Twitter coverage from the conference, but certain announcements warrant a more detailed discussion.
The announcement generating the biggest buzz today came from Illumina, Inc., whose CEO Jay Flatley unveiled a new genome sequencing machine, the HiSeq 2000. According to Matthew Herper of Forbes.com, Illumina’s new machine “will decode a person’s DNA in one week using $10,000 worth of materials – five times cheaper than any other competing gadget on the market.” Herper adds that the machines will begin shipping in February with a cost of $690,000 (compared to $500,000 for Illumina’s current model). Illumina’s own product page for the HiSeq 2000 provides more technical details, including coverage (~30x) and read length (2×100 bp). There have also been unconfirmed rumors that the machine will come equipped with an iPhone user interface, a concept that Flatley first pitched at last summer’s Consumer Genetics Show.
If it performs as advertised, the HiSeq 2000 is likely to be a huge hit with large genome sequencing centers, as evidenced by the announcement that the BGI (formerly the Beijing Genomics Institute) has agreed to purchase a whopping 128 of the new sequencing systems. But what, if anything, does the Illumina announcement mean for individuals consumers interested in receiving a complete genomic sequence?
Is deCODEme Taking a Page from the 23andMe Playbook?
Daniel MacArthur of Genetic Future provides coverage of the decision by direct-to-consumer (DTC) genomics service provider deCODEme to offer existing 23andMe customers the ability to upload their raw 23andMe data to the deCODEme service. For free.
MacArthur correctly notes that the value of the genome scans provided by companies such as 23andMe and deCODEme lies not in the actual creation of raw genetic data but in the interpretation of that data, and wonders why deCODEme has decided to give that away for free. Here’s MacArthur’s take:
So, why the free offer? I’m guessing deCODEme is gambling (quite reasonably) that offering free uploads will attract a non-trivial number of 23andMe customers over to deCODEme’s interface. That then provides the Icelanders with an opportunity to give people a fair trial of their own interface, and hopefully to impress them with the quality and accessibility of the data provided.
That seems reasonable, and many 23andMe customers are likely already familiar with porting their raw genetic data to other interpretive tools – Promethease, for example – so perhaps this puts deCODE in front of a group of individuals who would not otherwise be in the market for a duplicative genome scan. (23andMe appears unconcerned by the prospect of a side-by-side comparison of its service with that of deCODEme.)
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NCI’s New BRCA1 Test: Broader Utility and Another Challenge to Traditional Genetic Tests
Contributed by Allison Williams Dobson of the Center for Genomics and Society at the University of North Carolina at Chapel Hill.
As reported last week by GenomeWeb, on September 21, 2009, a team led by Shyam Sharan from the National Cancer Institute (NCI) published the development of a new BRCA1 test based on mouse embryonic stem cells. Potentially, the test could prove useful for a much broader range of patients than the controversial Myriad Genetics BRCA1 tests.
The NCI approach focuses more on protein production than DNA analysis. The BRCA1 gene serves as the blueprint for an important tumor suppressor protein. If BRCA1 protein is not produced in sufficient quality and/or quantity, a propensity to develop cancer in the breast tissue often results. The traditional genetic testing approach asks whether a subject carries any of the BRCA1 gene variants that have been associated with increased risk for breast cancer in studies of afflicted families. NCI’s approach asks a significantly different question—rather than focusing on an identified set of “bad” gene variants, NCI asks whether a subject carries BRCA1 variants that serve as adequate blueprints for a functional protein, whether those variants have been previously identified or not. It does this by testing the protein product of the gene.
Until now, women with a family history of breast cancer have been most likely to seek a BRCA genetic test and represent the principal source of BRCA genetic data. Thus Myriad’s patented tests are based on a set of culprit BRCA gene variants found by studying primarily families with a strong propensity toward breast cancer, despite the fact that only 5-7 % of breast cancers are familial. As a result, the Myriad tests only offer useful information about a subset of BRCA1 variants. But many people (both with and without family history) carry other BRCA1 variants of unknown significance (VUS). There just are not enough empirical data yet to support conclusions about the risk associated with VUS.
ACLU Moves for Summary Judgment in Myriad Patent Case
In prior posts we’ve described the ACLU’s lawsuit challenging Myriad Genetic’s patents on BRCA1 and 2, the breast cancer susceptibility genes, and responded to readers’ questions about the effect of those patents on research. In the latest development in the case, the ACLU has filed a motion for summary judgment (the motion was filed on August 26, 2009, and the ACLU’s supporting brief can be found here (pdf).)
Summary judgment, as the term suggests, is a device whereby the judge decides the case before it ever gets to trial. The party asking for summary judgment must persuade the court that the facts are undisputed and the controlling law is unambiguous, so there is no need for a trial. As the standard is sometimes stated, it is clear at the time of the motion that no reasonable jury could find for the other side. Summary judgment, while fairly rare, is most often granted after extensive discovery (sworn deposition testimony and document production), when the parties can make an accurate forecast of what evidence would come out at trial.
Leveraging the Crowd to Understand Your Genome
Earlier this week Peter Aldhous of NewScientist magazine recounted an unusual experience with DTC genomics provider Decode Genetics. In reviewing his genetic data on the deCODEme website, Aldhous uncovered what appeared to be significant and bizarre errors in his mitochondrial DNA. Aldhous turned to Blaine Bettinger, The Genetic Genealogist, for help in diagnosing the problem with his mitochondrial DNA. Bettinger’s response: “This is a strange question, but are you sure this is Homo sapiens?”
Aldous, Bettinger and Decode investigated the problem and ultimately determined that the “errors” in the mitochondrial DNA were actually being introduced by a bug in the deCODEme software interface that allows users to browse their data. (Aldhous carefully points out that the software glitch was a rare one and that it did not seem to affect deCODEme’s disease-risk summaries or analysis.)
More than a simple software error, Aldhous’s experience highlights the complexity inherent in consumer genomes. Translating an individual’s saliva sample into a description of genetically influenced traits and risks is a multi-stage process with potential for error at every step in the chain. Or, as Daniel MacArthur of Genetic Future cleverly puts it, “There’s many a slip ‘twixt spit and SNP.”
The Genome In Silico and the Future of Whole-Genome Sequencing
In my previous post summarizing last weekend’s conference on Genetics and Ethics in the 21st Century I briefly mentioned Professor John Robertson’s discussion of the “genome in silico.” Using Illumina’s recently announced $48,000 whole-genome sequencing service as an example, Robertson wondered whether the future of whole-genome sequencing lies in converting the genome to silicon storage (in silico) or whether on-demand sequencing of short genetic segments (or even whole genomes) will continue to be done as and when patients present with specific clinical conditions (in vivo). To put it another way, will the patient of the future present his doctor with the equivalent of Illumina’s concept iPhone app or Knome’s USB drive, or will she come prepared to undergo a more traditional blood draw or tissue biopsy.
Following Illumina’s announcement at the Consumer Genetics Show, Daniel MacArthur at Genetic Future speculated that Illumina, in focusing “on the sequence generation side…[was] restricting itself to the least attractive segment of the personal genomics market.” And I agreed, arguing that the bioinformatics portion of the genome sequencing market — interpreting and functionalizing raw sequence data — appeared to be both larger and less well-developed, thus presenting a more promising commercial opportunity.
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