In Re THE BOARD OF TRUSTEES

Court of Appeals for the Federal Circuit·Decided March 11, 2021·No. 20-1012·Published

Opinion

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 appellant . 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 represented 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 contained in its patent application. The patent examiner 2 IN RE: THE BOARD OF TRUSTEES

reviewing the application rejected the claims on grounds that they involve patent ineligible subject matter. On review , the Patent Trial and Appeal Board affirmed the examiner ’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. Accordingly , 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 determining 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 application , improved haplotype phasing techniques “promise[] to revolutionize personalized health care by tailoring risk modification, medications, and health surveillance to patients ’ individual genetic backgrounds.” J.A. 269–70. Achieving the understanding necessary to accomplish those goals has long challenged scientists because it requires “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 processing the data by performing mathematical calculations and statistical modeling to arrive at a haplotype phase determination .

The claimed methods first involve using two types of information, namely genotype data and pedigree data, to determine alleles’ inheritance state using a method

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 statistical tool used in various applications to make probabilistic 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 inheritance 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 percent of heterozygous positions); see also J.A. 909; Appellant ’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 allegedly 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 (contrasting 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 additional data is referred to as “transition probability data.” According to the written description, transition probabilities 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 regions where inheritance state is uninformative. See J.A. 273, 298–99; see also Appellant’s Br. 3.

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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 abstract mathematical algorithms and mental processes. See J.A. 871–72, 1101–10. Independent claim 1 is representative and recites:

1. A method for resolving haplotype phase, comprising : 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 system comprising a processor and a memory; determining an inheritance state for the allele information described in the allele data based on identity between single nucleotide variants contained in the genotypes for the family using a Hidden Markov Model having hidden states implemented on a computer system comprising a processor and a memory, wherein the hidden states comprise inheritance states, a compression fixed error state, and a[ Mendelian inheritance error]- rich fixed error state, wherein the inheritance states are maternal identical, paternal identical, identical, and non-identical;

IN RE: THE BOARD OF TRUSTEES 5

receiving transition probability data describing transition probabilities for inheritance states and storing the transition probability data on a computer 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 information described in the allele data, the transition probability data, and the population linkage disequilibrium data using a computer system comprising a processor and a memory; storing the haplotype phase for at least one member of the family using a computer system comprising 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

1 Claims 11 and 21, the two other independent claims in the ’925 application, both recite computer hardware for carrying out the steps of claim 1. See J.A. 1101– 10. The claims depending from claim 1 (claims 4–10 and 22–25) recite the same substantive limitations as the corresponding claims that depend from claim 11 (claims 14– 20 and 27–30). J.A. 1101–10. No claims depend from claim 21.

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