In Re THE BOARD OF TRUSTEES

CourtCourt of Appeals for the Federal Circuit
DecidedMarch 11, 2021
Docket20-1012
StatusPublished

This text of In Re THE BOARD OF TRUSTEES (In Re THE BOARD OF TRUSTEES) is published on Counsel Stack Legal Research, covering Court of Appeals for the Federal Circuit primary law. Counsel Stack provides free access to over 12 million legal documents including statutes, case law, regulations, and constitutions.

Bluebook
In Re THE BOARD OF TRUSTEES, (Fed. Cir. 2021).

Opinion

Case: 20-1012 Document: 38 Page: 1 Filed: 03/11/2021

United States Court of Appeals for the Federal Circuit ______________________

IN RE: BOARD OF TRUSTEES OF THE LELAND STANFORD JUNIOR UNIVERSITY, Appellant ______________________

2020-1012 ______________________

Appeal from the United States Patent and Trademark Office, Patent Trial and Appeal Board in No. 13/445,925. ______________________

Decided: March 11, 2021 ______________________

JOEL KAUTH, KPPB LLP, Anaheim, CA, argued for ap- pellant. Also represented by DAVID BAILEY, CHRISTIAN HANS, MARK YEH.

MAUREEN DONOVAN QUELER, Office of the Solicitor, United States Patent and Trademark Office, Alexandria, VA, argued for appellee Andrew Hirshfeld. Also repre- sented by THOMAS W. KRAUSE, AMY J. NELSON. ______________________

Before PROST, Chief Judge, LOURIE and REYNA, Circuit Judges. REYNA, Circuit Judge. The Board of Trustees of the Leland Stanford Junior University appeals the final rejection of patent claims con- tained in its patent application. The patent examiner Case: 20-1012 Document: 38 Page: 2 Filed: 03/11/2021

2 IN RE: THE BOARD OF TRUSTEES

reviewing the application rejected the claims on grounds that they involve patent ineligible subject matter. On re- view, the Patent Trial and Appeal Board affirmed the ex- aminer’s final rejection of the claims. As discussed below, we hold that the rejected claims are drawn to abstract mathematical calculations and statistical modeling, and similar subject matter that is not patent eligible. Accord- ingly, we affirm the decision of the Patent Trial and Appeal Board. BACKGROUND The Board of Trustees of the Leland Stanford Junior University (“Stanford”) filed its Application No. 13/445,925 (“’925 application”) on April 13, 2012. The ’925 application is directed to methods and computing systems for deter- mining haplotype phase. J.A. 270, 906–07. Haplotype phasing is a process for determining the parent from whom alleles—i.e., versions of a gene—are inherited. A haplotype phase acts as an indication of the parent from whom a gene has been inherited. According to the written description of the ’925 appli- cation, improved haplotype phasing techniques “promise[] to revolutionize personalized health care by tailoring risk modification, medications, and health surveillance to pa- tients’ individual genetic backgrounds.” J.A. 269–70. Achieving the understanding necessary to accomplish those goals has long challenged scientists because it re- quires “interpretation of massive amounts of genetic data produced with each genome sequence.” J.A. 270, 296. The ’925 application purports to meet that challenge via a method for receiving certain types of genetic data and pro- cessing the data by performing mathematical calculations and statistical modeling to arrive at a haplotype phase de- termination. The claimed methods first involve using two types of information, namely genotype data and pedigree data, to determine alleles’ inheritance state using a method Case: 20-1012 Document: 38 Page: 3 Filed: 03/11/2021

IN RE: THE BOARD OF TRUSTEES 3

published in the prior art, namely Roach et al., Analysis of Genetic Inheritance in a Family Quartet by Whole Genome Sequencing, 328 SCIENCE 636 (2010). The Roach reference teaches the use of a hidden Markov model (“HMM”)—a sta- tistical tool used in various applications to make probabil- istic determinations of latent variables—to predict inheritance state. See J.A. 272–73, 282, 294–95, 319–20. The written description also explains that, in the prior art, methods of determining haplotype phase based on in- heritance state yielded an incomplete number of the alleles’ haplotypes. See, e.g., J.A. 297 (discussing the “trio” method that predicted haplotype phases for approximately 80 per- cent of heterozygous positions); see also J.A. 909; Appel- lant’s Br. 7 (explaining that “the inheritance state information produced by the HMM is uninformative in some regions of the allele data”). The claimed methods al- legedly increase the number of possible haplotype phase predictions. See, e.g., J.A. 298–99 (explaining that the claimed methods result in “phase resolution of 97.9% of heterozygous positions”); see also Appellant’s Br. 5 (con- trasting the inventions from the “‘trio’” method”). The increase in haplotype phase predictions is made possible by factoring additional data into the analysis. See J.A. 296–99; see also Appellant’s Br. 7. The first type of additional data, known as “linkage disequilibrium data,” could at the time be obtained from the “SNP Annotation and Proxy Search” or “SNAP” database, which launched in approximately 2008. See J.A. 283. The second type of ad- ditional data is referred to as “transition probability data.” According to the written description, transition probabili- ties are set depending on “the expected number of state transitions and the total number of allele assortments in the pedigree.” J.A. 273, 295. These two types of additional data allegedly enable haplotype phase to be inferred in re- gions where inheritance state is uninformative. See J.A. 273, 298–99; see also Appellant’s Br. 3. Case: 20-1012 Document: 38 Page: 4 Filed: 03/11/2021

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Stanford appeals the Patent Trial and Appeal Board’s (“Board”) affirmance of the examiner’s rejection of claims 1, 4–11, 14–25, and 27–30 as covering patent ineligible ab- stract mathematical algorithms and mental processes. See J.A. 871–72, 1101–10. Independent claim 1 is representa- tive and recites: 1. A method for resolving haplotype phase, com- prising: receiving allele data describing allele information regarding genotypes for a family comprising at least a mother, a father, and at least two children of the mother and the father, where the genotypes for the family contain single nucleotide variants and storing the allele data on a computer system comprising a processor and a memory; receiving pedigree data for the family describing information regarding a pedigree for the family and storing the pedigree data on a computer sys- tem comprising a processor and a memory; determining an inheritance state for the allele in- formation described in the allele data based on identity between single nucleotide variants con- tained in the genotypes for the family using a Hid- den Markov Model having hidden states implemented on a computer system comprising a processor and a memory, wherein the hidden states comprise inher- itance states, a compression fixed error state, and a[ Mendelian inheritance error]- rich fixed error state, wherein the inheritance states are mater- nal identical, paternal identical, identical, and non-identical; Case: 20-1012 Document: 38 Page: 5 Filed: 03/11/2021

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receiving transition probability data describing transition probabilities for inheritance states and storing the transition probability data on a com- puter system comprising a processor and a memory; receiving population linkage disequilibrium data and storing the population disequilibrium data on a computer system comprising a processor and a memory;

determining a haplotype phase for at least one member of the family based on the pedigree data for the family, the inheritance state for the infor- mation described in the allele data, the transition probability data, and the population linkage dise- quilibrium data using a computer system compris- ing a processor and a memory; storing the haplotype phase for at least one mem- ber of the family using a computer system compris- ing a processor and a memory; and providing the stored haplotype phase for at least one member of the family in response to a request using a computer system comprising a processor and a memory. J.A. 1101–02. 1

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