Tag: Mayo


Sunday data/statistics link roundup (4/29)

  1. Nature genetics has an editorial on the Mayo and Myriad cases. I agree with this bit: “In our opinion, it is not new judgments or legislation that are needed but more innovation. In the era of whole-genome sequencing of highly variable genomes, it is increasingly hard to justify exclusive ownership of particularly useful parts of the genome, and method claims must be more carefully described.” Via Andrew J.
  2. One of Tech Review’s 10 emerging technologies from a February 2003 article? Data mining. I think doing interesting things with data has probably always been a hot topic, it just gets press in cycles. Via Aleks J. 
  3. An infographic in the New York Times compares the profits and taxes of Apple over time, here is an explanation of how they do it. (Via Tim O.)
  4. Saw this tweet via Joe B. I’m not sure if the frequentists or the Bayesians are winning, but it seems to me that the battle no longer matters to my generation of statisticians - there are too many data sets to analyze, better to just use what works!
  5. Statistical and computational algorithms that write news stories. Simply Statistics remains 100% human written (for now). 
  6. The 5 most critical statistical concepts. 

Sunday data/statistics link roundup (4/8)

  1. This is a great article about the illusion of progress in machine learning. In part, I think it explains why the Leekasso (just using the top 10) isn’t a totally silly idea. I also love how he talks about sources of uncertainty in real prediction problems that aren’t part of the classical models when developing prediction algorithms. I think that this is a hugely underrated component of building an accurate classifier - just finding the quirks particular to a type of data. Via @chlalanne.
  2. An interesting post from Michael Eisen on a serious abuse of statistical ideas in the New York Times. The professor of genetics quoted in the story apparently wasn’t aware of the birthday problem. Lack of statistical literacy, even among scientists, is becoming critical. I would love it if the Kahn academy (or some enterprising students) would come up with a set of videos that just explained a bunch of basic statistical concepts - skipping all the hard math and focusing on the ideas. 
  3.  TechCrunch finally caught up to our Mayo vs. Prometheus coverage. This decision is going to affect more than just personalized medicine. Speaking of the decision, stay tuned for more on that topic from the folks over here at Simply Statistics. 
  4. How much is a megabyte? I love this question. They asked people on the street how much data was in a megabyte. The answers were pretty far ranging looks like. This question is hyper-critical for scientists in the new era, but the better question might be, “How much is a terabyte?”

Supreme court vacates ruling on BRCA gene patent!

As Reeves alluded to in his post about the Mayo personalized medicine case, the Supreme Court just vacated the lower court’s ruling in Association for Molecular Pathology v. Myriad Genetics (No. 11-725). The case has been sent back down to the Federal Circuit for reconsideration in light of the Court’s decision in Mayo.  This means that the Supreme Court thought the two cases were sufficiently similar that the lower courts should take another look using the new direction from Mayo.

 It’s looking more and more like the Supreme Court is strongly opposed to personalized medicine patents. 


Sunday data/statistics link roundup (3/25)

  1. The psychologist whose experiment didn’t replicate then went off on the scientists who did the replication experiment is at it again. I don’t see a clear argument about the facts of the matter in his post, just more name calling. This seems to be a case study in what not to do when your study doesn’t replicate. More on “conceptual replication” in there too. 
  2. Berkeley is running a data science course with instructors Jeff Hammerbacher and Mike Franklin, I looked through the notes and it looks pretty amazing. Stay tuned for more info about my applied statistics class which starts this week. 
  3. A cool article about Factual, one of the companies whose sole mission in life is to collect and distribute data. We’ve linked to them before. We are so out ahead of the Times on this one…
  4. This isn’t statistics related, but I love this post about Jeff Bezos. If we all indulged our inner 11 year old a little more, it wouldn’t be a bad thing. 
  5. If you haven’t had a chance to read Reeves guest post on the Mayo Supreme Court decision yet, you should, it is really interesting. A fascinating intersection of law and statistics is going on in the personalized medicine world right now. 

Laws of Nature and the Law of Patents: Supreme Court Rejects Patents for Correlations

This is a guest post by Reeves Anderson, an associate at Arnold and Porter LLP. Reeves Anderson is a member of the Appellate and Supreme Court practice group at Arnold & Porter LLP in Washington, D.C.  The views expressed herein are those of the author alone and not of Arnold & Porter LLP or any of the firm’s clients. Stay tuned for follow-up posts by the Simply Statistics crowd on the implications of this ruling for statistics in general and personalized medicine in particular. 

With the country’s attention focused on next week’s arguments over the constitutionality of President Obama’s health care law, the Supreme Court slipped in an important decision today concerning personalized medicine patents.  In Mayo Collaborative Services v. Prometheus Laboratories, the Court unanimously struck down medical diagnostic patents that concerned the use of thiopurine drugs in the treatment of autoimmune diseases.  Prometheus’s patents, which provided that doctors should increase or decrease a treatment dosage depending on metabolite correlations, was ineligible for patent protection, the Court held, because the patents “simply stated a law of nature.” 

As Jeff aptly described the issue in December, Prometheus’s patents sought to control a treatment process centered “on the basis of a statistical correlation.”  Specifically, when a patient ingests a thiopurine drug, metabolites form in the patient’s bloodstream.  Because the production of metabolites varies among patients, the same dosage of thiopurine causes different effects in different patients.  This variation makes it difficult for doctors to determine optimal treatment for a particular patient.  Too high of a dosage risks harmful side effects, whereas too low would be therapeutically ineffective. 

But measurement of a patient’s metabolite levels—in particular, 6-thioguanine and its nucleotides (6-TG) and 6-methyl-mercaptopurine (6-MMP)—is more closely correlated with the likelihood that a particular dosage of a thiopurine drug could cause harm or prove ineffective.  As the Court explained today, however, “those in the field did not know the precise correlations between metabolite levels and the likely harm or ineffectiveness.”  This is where Prometheus stepped in.  “The patent claims at issue here set forth processes embodying researchers’ findings that identified those correlations with some precision.”  Prometheus contended that blood concentrations of 6-TG or of 6-MMP above 400 and 7,000 picomoles per 8x108 red blood cells, respectively, could be toxic, while a concentration of 6-TG metabolite less than 230 pmol per 8x108 red blood cells is likely too low to be effective. 

Prometheus utilized this correlation by patenting a three-step method by which one (i) administers a drug providing 6-TG to a patient with an autoimmune disease; (ii) determines the level of 6-TG in the patient; and (iii) the administrator then can determine whether the thiopurine dosage should be adjusted accordingly.  Significantly, Prometheus’s patents did not include a treatment protocol and thus applied regardless of whether a doctor actually altered his treatment decision in light of the test—in other words, even if the doctor thought the correlations were wrong, irrelevant, or inapplicable to a particular patient.  And in fact, Mayo Clinic, the party challenging Prometheus’s patents, believed Prometheus’s correlations were wrong.  (Mayo’s toxicity levels were 450 and 5700 pmol per 8x108 red blood cells for 6-TG and 6-MMP, respectively.  At oral argument on December 7, 2011, Mayo insisted that its numbers were “more accurate” than Prometheus’s.) 

Turning to the legal issues, both parties agreed that the correlations were “laws of nature,” which, by themselves, are not patentable.  As the Supreme Court has explained repeatedly, laws of nature, like natural phenomena and abstract ideas, are “manifestations of … nature, free to all men and reserved exclusively to none.”  This principle reflects a concern that patent law ought not inhibit further discovery and innovation by tying up the “basic tools of scientific and technological work.” 

In contrast, the application of a law of nature is patentable.  The question for the Court, then, was whether Prometheus’s patent claims “add enough to their statements of correlations to allow the process they describe to qualify as patent-eligible processes that apply natural laws.” 

The Court’s answer was no.  Distilled down, Prometheus’s “three steps simply tell doctors to gather data from which they may draw an inference in light of the correlations.”  The Court determined that Prometheus’s method simply informed the relevant audience (doctors treating patients with autoimmune diseases) about a law of nature, and that the additional steps of “administering” a drug and “determining” metabolite levels were “well-understood, routine, conventional activity already engaged in by the scientific community.”  “[T]he effect is simply to tell doctors to apply the law somehow when treating their patients.”   

Although I leave it to Jeff & company to assess the impact of today’s decision on the practice of personalized medicine, I have two principal observations.  First, it appears that the Court was disturbed by Mayo’s insistence that the correlations in Prometheus’s patents were wrong, and that patent protection would prevent Mayo from improving upon them.  Towards the end of the opinion, Justice Breyer wrote that the patents “threaten to inhibit the development of more refined treatment recommendations (like that embodied in Mayo’s test), that combine Prometheus’s correlations with later discovered features of metabolites, human physiology or individual patient characteristics.”  The worry of stifling future innovation applies to every patent, but the Court seemed especially attuned to that concern here, perhaps due in part to Mayo’s insistence that its “better” test could not be used to help patients. 

Second, Mayo argued that a decision in its favor would reduce the costs of challenging similar patents that purported to “apply” a natural law.  Mayo’s argument was in response to the position of the U.S. Government, which participated in the case as amicus curiae (“friend of the court”).  The Government urged the Court not to rule on the threshold issue of whether Prometheus’s patents applied a law of nature, but rather to strike down the patents because they lacked “novelty” or were “obvious in light of prior art.”  The questions of novelty and obviousness, Mayo argued, are much more fact-intensive and expensive to litigate.  Whether or not the Court agreed with Mayo’s argument, it declined to follow the Government’s advice.  To skip the threshold question, the Court concluded, “would make the ‘law of nature’ exception … a dead letter.” 

Many Supreme Court watchers will now turn their attention to another patent case that has been waiting in the wings, Association for Molecular Pathology v. Myriad Genetics, which asks the Court to decide whether human genes are patentable.  Predictions anyone?