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United States of America v. Daniel Gissantaner
Case Number: 19-2305
Judge: Jeffrey Stuart Sutton
Court: UNITED STATES COURT OF APPEALS
FOR THE SIXTH CIRCUIT
Plaintiff's Attorney: Justin M. Presant, UNITED STATES ATTORNEY’S OFFICE
Cincinnati, Ohio- Criminal defense lawyer represented defendant with a possessing a firearm as a felon charge.
Daniel Gissantaner became embroiled in an argument with his neighbors. One neighbor
called 911, telling the dispatcher that Gissantaner, a convicted felon, had a gun. The police
responded to the call and found a pistol inside a chest in Gissantaner’s house. The chest
belonged to Gissantaner’s roommate. When the government charged Gissantaner with
possessing a firearm as a felon, it used DNA-sorting evidence, called STRmix, to link
Gissantaner to the gun.
Gissantaner moved to exclude the evidence as unreliable under Evidence Rule 702. See
Daubert v. Merrell Dow Pharms., Inc., 509 U.S. 579 (1993). Gissantaner and the government
retained experts, who took competing positions on the issue. The district court in turn appointed
two experts of its own to consider the question. One of these experts said that STRmix evidence
is reliable in general and as applied to this case; the other said it is reliable in general but not as
applied to this case. The court excluded the STRmix evidence as unreliable. The government
filed this interlocutory appeal. See 18 U.S.C. § 3731.
DNA evidence has transformed criminal investigations, trials, and post-conviction
proceedings. Since the late 1980s, it has become a staple of law-enforcement investigations,
whether to track down the guilty or to liberate the innocent. See Robert J. Norris, Exonerated 35
(2017). In contrast to blood types and enzymes, an individual’s DNA is unique. United States v.
Bonds, 12 F.3d 540, 550 (6th Cir. 1993). No one else shares it, save an identical twin. That
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makes DNA evidence highly pertinent to the work of forensic scientists tasked with investigating
Complications arise when a sample of evidence, usually a batch of cells included in fluid
emitted by an individual or left on an item by touch, contains the DNA of more than one person.
Consider this case. Police officers collected the relevant evidence on a gun found in a chest
owned by Gissantaner’s roommate. They collected the “touch DNA”—skin cells found on the
gun—and submitted it for analysis at Michigan’s statewide law-enforcement laboratory. Based
on the genetic material in the mixture, an analyst determined that the DNA recovered from the
weapon came from three people.
In the early years of working with DNA to solve crimes, forensic scientists used one
technique—visual comparison—to handle DNA samples with single and multiple strains. While
scientists eventually became adept at handling samples with up to two strains of DNA, they
faced difficulties beyond that.
A digression into how forensic scientists use DNA evidence helps to explain why. Some
spots on the human genome, named loci, contain segments of DNA code that vary widely from
one person to another. Each variation is called an allele, and a person generally has two alleles at
each locus. Because the alleles vary, no two people are likely to have matching alleles at any
given locus. A greater number of matching alleles at a greater number of loci increases the
probability that the person of interest matches the sample. See Special Master’s Report at 17–24,
United States v. Lewis, 442 F. Supp. 3d 1122 (D. Minn. 2020) (No. 18-194).
One challenge with using mixtures involving several people is that each person might
have contributed zero, one, or two alleles at each locus. (Although people have two alleles at
each locus, one or more of the alleles might not have made it into the mixture.) If a mixture
contains five different alleles at one locus, that could suggest it involves at least three people,
with two contributors donating two alleles and a third contributor donating one. But other
possibilities remain. It could be that one contributor gave two alleles and three other contributors
gave one allele at the locus, suggesting a four-person mixture.
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Even with these variations, visual examinations of the alleles in a mixture still allow
examiners to estimate how many DNA sources a touch or fluid sample contains. That is just
what forensic scientists did in the first decades after they began using DNA to solve crimes.
Visual examinations come with subjective risks, however. The inspection might
over-count or under-count the percentage of each individual’s contribution to the sample, to the
extent inspectors calculated the percentage at all, or might mistake the number of people who
contributed to it. Cf. id. at 21, 23–24. Visual inspection runs the risk of cognitive biases, too.
Studies suggest that an examiner’s knowledge of the case—other evidence about the
suspect—affects interpretations, frequently not in the suspect’s favor. On top of all that, the
calculations used to determine the probability of the mixture’s occurring by chance, as opposed
to coming from the suspect, have to be simplified because human beings, Alan Turing included,
are not computers.
Enter STRmix and other DNA-sorting products. Starting in the late 1990s, forensic
scientists innovated products to improve investigations of multi-person DNA samples. The idea
is to combine the tools of DNA science, statistics, and computer programming to mitigate the
risks from subjective assessments of multi-person DNA samples. The software in the end helps
to measure the probability that a mixture of DNA includes a given individual’s DNA.
In addition to mitigating the risks of human error, the software processes more potential
interpretations of a mixture in less time. If an analyst remains unsure whether a sample contains
the DNA of three persons or four, she can use the software to crunch the numbers quickly in both
ways. The software also mitigates the effect of cognitive bias, as the software does not know the
other facts of the case. Id. at 23–27. While the software does not eliminate the ever-present
risks of human error, it “clearly represent[s] a major improvement over purely subjective
interpretation.” R.41-17 at 93.
Forensic labs today use several probabilistic genotyping software programs, including
STRmix, LRmix, Lab Retriever, likeLTD, FST, Armed Xpert, TrueAllele, and DNA View
Mixture Solution. The product used in this case, STRmix, was created in 2011 by John
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Buckleton, a civil servant and forensic scientist who works for the Institute of Environmental
Science and Research, a government agency in New Zealand.
Roughly 200 forensic science laboratories exist in the United States. Most are affiliated
with a government. Michigan, for example, has the Michigan State Police laboratory, dedicated
to providing scientific and technological support to law enforcement throughout the State. Over
45 of these law-enforcement laboratories use STRmix, with more on the way. R.l39 at 5–6
(noting that 68 laboratories are in the process of validating STRmix). About ten other
laboratories use similar products. The FBI uses STRmix. A license for unlimited use of
STRmix costs about $27,000, with proceeds supporting the work of the New Zealand Institute.
The Biology DNA Unit of the Michigan State Police laboratory has used STRmix for six
years. The laboratory received training on the software starting in March 2015, and it began
using the software for cases in February 2016, about three and a half months before receiving the
sample in this investigation.
In Gissantaner’s case, an analyst with the Michigan State Police laboratory took
information about the DNA present in the mixture and entered it into STRmix to estimate how
much of the DNA came from each person. The resulting DNA profile summary said that one
person “contributed” 68% of the DNA in the mixture, a second contributed 25%, and a third
contributed 7%. The third contributor supplied 8 or 9 cells (approximately 49 picograms) to the
STRmix compared the DNA of the suspect—Gissantaner—to this profile with the goal of
ascertaining a “likelihood ratio” about his potential contribution to the sample. R.77 at 34. A
comparison of Gissantaner’s DNA to the profile suggested that he matched the third contributor,
generating a likelihood ratio of 49 million to 1. More precisely, if less accessibly, that means the
DNA “profile is 49 million times more likely if [Gissantaner] is a donor than if he is not.” Id. at
The two “ifs” capture a qualification. The likelihood ratio tells us only that, in the
abstract and without considering any other evidence in this case, it would be unusual if this DNA
contained no DNA contributed from Gissantaner. The ratio does not on its own tell us how
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likely it is that Gissantaner illegally possessed a firearm. Determining whether it is likely that
Gissantaner, as opposed to someone else, contributed to the mixture requires looking at other
facts beyond the scope of DNA evidence. Perhaps other people with similar profiles, say
relatives of Gissantaner, were nearby. Perhaps the roommate had locked the chest and lost the
key long before Gissantaner moved in and had a chance to touch the gun. Or perhaps the DNA
landed on the gun without Gissantaner touching it, say when he and his roommate shook hands
or when they each touched the same object before his roommate subsequently touched the gun.
Even with these qualifications, the evidence remains significant. By accepted measures in the
forensic community, a profile match of 1 in 49 million amounts to “very strong support” that
Gissantaner somehow contributed DNA to the mixture. R.41-10 at 3.
These two bottom-line conclusions bring into view the need to use evidence of this sort
carefully. Such conclusions—the 49-million-to-1 ratio and “very strong support”—can be highly
probative of guilt or innocence. Yet the mechanisms for obtaining them—the software, the
science—are beyond the ken of most jurors and judges. If highly consequential evidence
emerges from what looks like an indecipherable computer program to most non-scientists,
non-statisticians, and non-programmers, it is imperative that qualified individuals explain how
the program works and ensure that it produces reliable information about the case. All of this
explains why the courts have developed reliability standards for admitting evidence of this type
and why a functioning adversarial system remains critical in handling it.
Rule 702 of the Federal Rules of Evidence sets the framework for determining whether to
admit scientific and other technical evidence in federal civil and criminal cases. It permits an
expert to testify about scientific knowledge if “(a) the expert’s scientific, technical, or other
specialized knowledge will help the trier of fact to understand the evidence or to determine a fact
in issue; (b) the testimony is based on sufficient facts or data; (c) the testimony is the product of
reliable principles and methods; and (d) the expert has reliably applied the principles and
methods to the facts of the case.” Fed. R. Evid. 702. The same set of questions applies to expert
testimony and science-based test results. Compare Johnson v. Manitowoc Boom Trucks, Inc.,
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484 F.3d 426, 427–29 (6th Cir. 2007), with United States v. Semrau, 693 F.3d 510, 516, 520 (6th
Four inquiries guide the reliability analysis: Is the technique testable? Has it been
subjected to peer review? What is the error rate and are there standards for lowering it? Is
the technique generally accepted in the relevant scientific community? Daubert, 509 U.S. at
593–94. Multi-factor tests, especially non-exhaustive tests, run the risk of obscuring the core
inquiry. The key handholds of Rule 702 thus bear repeating: To be admissible, any relevant
scientific or technical evidence must be the “product of reliable principles and methods” and
must have been “reliably applied” in the case. That is what matters most. Otherwise, the central
point of Daubert, to establish that Evidence Rule 702 “displaced” the common law Frye test,
would be lost and would lead to the replacement of an old common law test with a new (harder
to pronounce) common law test. Compare Frye v. United States, 293 F. 1013, 1014 (D.C. Cir.
1923), with Daubert, 509 U.S. at 585–89. That is not progress.
Through it all, the district court has a “gatekeeping role” in screening expert testimony to
ensure that only reliable testimony and evidence go to the jury. Daubert, 509 U.S. at 597. We
give fresh review to a district court’s framing of the legal standard, United States v. Pugh, 405
F.3d 390, 397 (6th Cir. 2005), and abuse-of-discretion review to its admissibility decision,
Kumho Tire Co. v. Carmichael, 526 U.S. 137, 152 (1999).
Measured by Evidence Rule 702 and a proper framing of the Daubert factors, the DNA
evidence should be admitted on this record.
Testability. An untestable scientific theory is all theory and no science. In the absence of
proof that a technology “can be . . . tested,” Daubert, 509 U.S. at 593, there is no way to show
whether it works (its “refutability” or “falsifiability,” a scientist would say) and no way to give it
“scientific status.” Id.; United States v. Bonds, 12 F.3d 540, 559 (6th Cir. 1993). The question
on the table is whether a method can be “assessed for reliability,” not whether it always gets
it right. Fed. R. Evid. 702 advisory committee’s note to 2000 amendment; Bonds, 12 F.3d at
558–59. Disputes about the “adequacy of the [theory’s] testing” or about the “accuracy of
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[a theory’s] results,” generally speaking, provide grist for adversarial examination, not grounds
for exclusion. Bonds, 12 F.3d at 558–59; see United States v. Mitchell, 365 F.3d 215, 238 (3d
Cir. 2004); see also City of Pomona v. SQM N. Am. Corp., 750 F.3d 1036, 1046 (9th Cir. 2014);
United States v. Baines, 573 F.3d 979, 989–90 (10th Cir. 2009).
STRmix can be tested. Using “lab-created mixtures,” in which the actual contributors of
the DNA samples are known, scientists have tested STRmix to gauge the reliability of the
technology. R.146-14 at 2. Suppose that one person, Aaron, contributed to a lab-created
mixture, but another, Britney, did not. Forensic scientists can test STRmix to see whether it
suggests that Aaron is a match for the mixture, but Britney is not. If STRmix suggests that
Aaron is not a match for the mixture (by outputting a low likelihood ratio), that would be a false
negative. If STRmix suggests that Britney is a match for the mixture (by outputting a high
likelihood ratio), that would be a false positive. Each possibility shows that STRmix is testable,
that lab-created mixtures offer a way to “assess [the] reliability” of STRmix. Fed. R. Evid. 702
advisory committee’s note to 2000 amendment.
The record from the evidentiary hearings in this case provides a long proof that STRmix
is testable and refutable. Almost all of the evidence in the hearings went to these points: How
often is it accurate? How often is it not? Similar evidence of DNA testability has sufficed
before in our circuit. Bonds, 12 F.3d at 558.
(The astute reader might remind us that Daubert asks whether the scientific theory at
issue “can be (and has been) tested.” 509 U.S. at 593. It is not clear what the parenthetical
means. The rest of the Daubert considerations—including the next one, peer review—all turn in
one way or another on what actual testing of the theory reveals in terms of reliability. At all
events, the point makes no difference here. STRmix indeed “(has been) tested” many times
before, as the rest of this opinion confirms.)
Peer review. Subjecting a new technology to “peer review and publication” offers
another measure of reliability. Id. The “key” is whether “the theory and procedures have been
submitted to the scrutiny of the scientific community.” Bonds, 12 F.3d at 559. Publication in a
peer-reviewed journal typically satisfies this consideration. See Daubert, 509 U.S. at 594.
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Peer review is not student review. It “conditions publication on a bona fide process” of
review by other scientists and experts in the field. Daubert v. Merrell Dow Pharms., Inc.,
43 F.3d 1311, 1318 n.6 (9th Cir. 1995). The scientific community uses different conventions for
publication from most journals published in the legal community. No offense to former, current,
and future members of law journals everywhere: But it is one thing to convince lawyers in
training to publish a piece; it is quite another to convince peers in a professional community to
publish a piece. That is why readership and citation are pivotal when it comes to legal
scholarship and why publication itself is noteworthy in scientific scholarship—and ultimately
why publication in a peer-reviewed journal alone typically satisfies this Daubert inquiry. See
Ruiz-Troche v. Pepsi Cola of P.R. Bottling Co., 161 F.3d 77, 84–85 (1st Cir. 1998); In re Paoli
R.R. Yard PCB Litig., 35 F.3d 717, 781 (3d Cir. 1994); United States v. Brown, 973 F.3d 667,
704 (7th Cir. 2020); cf. Allison v. McGhan Med. Corp., 184 F.3d 1300, 1316 (11th Cir. 1999);
Summit 6, LLC v. Samsung Elecs. Co., 802 F.3d 1283, 1295 (Fed. Cir. 2015).
For like reasons, this factor does not demand independent authorship—studies done by
individuals unaffiliated with the developers of the technology. Independent studies, to be sure,
advance the cause of reliability. Bonds, 12 F.3d at 560. But they are not indispensable. Peer
review contains its own independence, as it involves “anonymously reviewing a given
experimenter’s methods, data, and conclusions on paper.” Mitchell, 365 F.3d at 238. If experts
“have other scientists review their work” and if the other scientists have the chance to identify
any methodological flaws, that usually suffices. Mitchell v. Gencorp Inc., 165 F.3d 778, 784
(10th Cir. 1999). When scientific research is accepted for publication by a reputable journal
following the “usual rigors of peer review,” that represents “a significant indication that it is
taken seriously by other scientists, i.e., that it meets at least the minimal criteria of good
science.” Daubert, 43 F.3d at 1318.
STRmix clears this bar. At the time of the Daubert hearing in the district court, more
than 50 published peer-reviewed articles had addressed STRmix. According to one expert,
STRmix is the “most tested and most . . . peer reviewed” probabilistic genotyping software
available. R.77 at 82. At least two of the studies were done by individuals unconnected to the
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development of the software. This plainly suffices. Bonds, 12 F.3d at 559–60; cf. Gross v.
Comm’r, 272 F.3d 333, 340–41 (6th Cir. 2001).
Error rate and standards to lower it. Even ten witnesses to a crime come with risks of
error. So too for DNA evidence. This consideration looks to the error rate of the technology and
to whether the scientific community has established standards that forensic scientists can use to
mitigate the risk of error. Daubert, 509 U.S. at 594.
Think about Gissantaner’s case to see the point. The government would like to use
STRmix to match Gissantaner to the DNA on a gun. That is not a good idea—not the “product
of reliable principles and methods” under Rule 702—if STRmix has a high error rate, if it has
trouble “avoid[ing]” “false positives,” and if there are no standards or guidelines to avoid or
lessen these risks. Bonds, 12 F.3d at 559 (quotation omitted); Mitchell, 365 F.3d at 241.
How often, then, does STRmix falsely suggest a suspect matches a DNA sample? Not
often, the evidence suggests. When examining “false inclusions,” one peer-reviewed study
concluded, based on an analysis of the DNA of 300,000 people who were known not to be in a
mixture, that STRmix had accurately excluded the non-contributors 99.1% of the time. Just 1%
of the time, in other words, it gave a likelihood ratio suggesting that someone was included in the
mixture who was not actually included in it. Most of these false inclusions, moreover, were
associated with low likelihood ratios—meaning that, under STRmix’s own estimates, the
confidence that the person was included was low. A likelihood ratio of 100 to 1 is more likely to
produce a false inclusion than a likelihood ratio of 1 million to 1. In this instance, the likelihood
ratio was 49 million to 1.
One explanation for the low error rate is the existence of standards to guide the use of
STRmix and other probabilistic genotyping software, for the two are “[c]losely related.”
Mitchell, 365 F.3d at 241. The Scientific Working Group on DNA Analysis Methods, a national
association of forensic laboratories sponsored by the FBI, has produced guidelines governing the
use of this kind of software, guidelines that the Michigan State Police laboratory used in this
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General acceptance in the scientific community. One might still be skeptical of the
reliability of a relatively new technology like STRmix, and rightly so, if the relevant scientific
community has not yet accepted its use. Daubert, 509 U.S. at 594. The question for debate is
“general acceptance,” not uniform acceptance within the community. See Bonds, 12 F.3d at 562.
Nor must the science be beyond reproach. Id. What matters is whether the relevant scientific
community accepts the software. See Daubert, 509 U.S. at 594; see also Wilden v. Laury
Transp., LLC, 901 F.3d 644, 654–55 (6th Cir. 2018). After that, the long-tested cauldron of
cross-examination, not exclusion, is the place to go for accuracy. “[C]onventional [trial] devices,
rather than wholesale exclusion under an uncompromising ‘general acceptance’ test, are the
appropriate safeguards where the basis of scientific testimony meets the standards of Rule 702.”
Daubert, 509 U.S. at 596. For a technology that is widely used, controversies over its use in a
given case usually will be left to the jury. See United States v. Jones, 965 F.3d 149, 160 (2d Cir.
STRmix satisfies this consideration. It has garnered wide use in forensic laboratories
across the country. More than 45 laboratories use it, including the FBI and many state law
enforcement agencies. At this point, STRmix is the “market leader in probabilistic genotyping
software.” R.146-1 at 17.
Consistent with this reality, numerous courts have admitted STRmix over challenges to
its general acceptance in the relevant scientific community. See United States v. Lewis, 442 F.
Supp. 3d 1122, 1155 (D. Minn. 2020) (“[T]here is no doubt that STRmix has gained general
acceptance.”); United States v. Washington, No. 8:19CR299, 2020 WL 3265142, at *2 (D. Neb.
June 16, 2020) (“Authority and evidence demonstrate that STRmix is generally accepted by the
relevant community.”); People v. Blash, No. ST-2015-CR-0000156, 2018 WL 4062322, at *6
(V.I. Super. Ct. Aug. 24, 2018); People v. Muhammad, 931 N.W.2d 20, 30 (Mich. Ct. App.
2018); People v. Bullard-Daniel, 42 N.Y.S.3d 714, 724–25 (N.Y. Co. Ct. 2016); United States v.
Christensen, No. 17-CR-20037-JES-JEH, 2019 WL 651500, at *2 (C.D. Ill. Feb. 15, 2019)
(“STRmix has been repeatedly tested and widely accepted by the scientific community.”);
United States v. Oldman, No.18-CR-0020-SWS, ECF No. 227 at *16 & n.5 (D. Wyo. Dec. 31,
2018) (collecting cases); United States v. Russell, No. CR-14-2563 MCA, 2018 WL 7286831, at
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*7–8 (D.N.M. Jan. 10, 2018) (“[STRmix’s] analyses are based on calculations recognized as
reliable in the field.”); United States v. Pettway, No. 12-CR-103S (1), (2), 2016 WL 6134493, at
*1 (W.D.N.Y. Oct. 21, 2016) (discussing “exhaustive research” concluding that “the
scientific foundations of the STRmix process are based on principles widely accepted in the
scientific and forensic science communities”). The Second Circuit determined that the scientific
community accepted a different (but similar) DNA-sorting software, Forensic Statistical Tool,
even though just one laboratory had used it. Jones, 965 F.3d at 156, 162.
General acceptance of probabilistic genotyping software, moreover, has led to its
use in inculpatory and exculpatory settings alike. See Erik Ortiz, A Texas
jury found him guilty of murder. A computer algorithm proved his innocence.,
https://news.yahoo.com/prison-murder-computer-algorithm-helped-105609137.html (last visited
March 3, 2021); Jason Hanna & Nick Valencia, Thanks to a new DNA analysis, a Georgia man
is exonerated of rape and freed from prison after 17 years,
https://www.cnn.com/2020/01/10/us/georgia-kerry-robinson-released/index.html (last visited
March 3, 2021).
All in all, STRmix satisfies Rule 702 and the case law construing it. In the words of Rule
702, it is the “product of reliable principles and methods.”
But were those principles “reliably applied” in this case, as Rule 702 also asks? Yes, as
we explain and as the record in this case demonstrates.
The Michigan State Police laboratory complies with the guidelines promulgated by the
Scientific Working Group, as confirmed through an audit performed by the FBI. The forensic
scientist who ran the sample in this case began training with STRmix more than a year before
analyzing the sample. During that time, the laboratory tested its copy of the software, using
lab-created mixtures to establish “internal validation” that STRmix reliably assisted the
laboratory’s work. R.77 at 52. In addition to these artificial mixtures, the laboratory tested
adjudicated-case samples, real samples from real crime scenes. It produced a summary
explaining the results of its tests and offered additional data to supplement the summary. In
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general, the laboratory’s use of STRmix produced “significant likelihood ratios” for known
contributors and improbable ones for known non-contributors. R.41-14 at 43.
The Michigan State Police laboratory’s internal validation also included samples like the
one in this case in which a minor contributor donated a small amount of DNA. It tested a
mixture in which one contributor gave just 4% of the DNA (less than the 7% here) and another
mixture in which the minor contributor gave only 26 picograms of DNA (less than the 49
picograms here). The laboratory also produced supplemental data showing that its internal
validation included a lab-created mixture of 3.2% and 32 picograms and an adjudicated-case
mixture of 4% and 10 picograms. The government offered to provide still more data for those
interested, but the district court declined the offer.
STRmix also accounts for small amounts of DNA when it creates profile summaries.
Because less DNA in a sample creates more uncertainty, STRmix generates lower likelihood
ratios for low-quantity DNA mixtures than it otherwise would. The software also errs in the
direction of the innocence of criminal suspects by making conservative estimates about the
probability of a genetic pattern occurring.
The Michigan State Police laboratory has ample company in concluding that STRmix
works at low levels of DNA. A peer-reviewed article compiling data from the internal
validations of 31 independent laboratories indicated that STRmix had been validated with
mixtures involving a minor contributor who supplied a small percentage of a mixture. The FBI’s
internal validation, also subjected to peer review, included mixtures in which the minor
contributor contributed less than 7% and fewer than 49 picograms to the sample. Gissantaner did
not introduce any studies showing STRmix is unreliable at low levels.
On this record, the “reliable principles and methods” underpinning STRmix were
“reliably applied” in this case. Fed. R. Evid. 702. Any lingering concerns about how the
Michigan State Police laboratory presented the information from its internal validation study or
doubts about the reliability of STRmix at low levels of DNA can be hashed out through
cross-examination or testing by the defendant. On appeal, Gissantaner and his team have not
objected to the level of access the owners have provided to the program’s source code or to their
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ability to run their own tests at different parameters as well as to observe how the laboratory
operates STRmix. While they have not used their access to this information yet to undermine the
reliability of STRmix in general, they remain free to do so at trial.
Gissantaner resists this conclusion on several fronts, each unconvincing.
He claims that the standard of review favors him. That is true. But a district court may
abuse its discretion by incorrectly framing the legal standard. See United States v. Flowers, 963
F.3d 492, 497 (6th Cir. 2020); Pugh, 405 F.3d at 397. The meaning of Evidence Rule 702, and
for that matter the Daubert considerations, amounts to a legal question. See United States v.
Jones, 107 F.3d 1147, 1154 (6th Cir. 1997); Bureau v. State Farm Fire & Cas. Co., 129 F.
App’x 972, 975 (6th Cir. 2005).
The district court framed several Daubert factors incorrectly. Start with testability. The
district court pitched the question as “whether the use of STRmix has been adequately tested and
validated, independently of the testing by the developer.” R.161 at 30. It then identified
“shortcomings,” id. at 31, in the way that the Michigan State Police laboratory had displayed its
test results, leading the court to conclude that the factor weighed “strongly against” admitting
STRmix, id. at 35. Even “serious deficiencies” in testing, however, do not render a method
untestable. Bonds, 12 F.3d at 559. At stake is “scientific validity,” not “scientific precision.” Id.
at 558. Gissantaner’s, and the district court’s, “attempt[s] to refute the [government’s] theory
and methods with evidence about deficiencies in both the results and the testing of the results,”
amounts to a “conce[ssion] that the theory and methods can be tested.” Id. at 559. Although the
independent experts in this case disagreed about the adequacy of the testing, that does not mean
the theory is untestable or even that it has not been tested. Id.
Move to peer review. The district court’s position—that the factor requires studies
authored or conducted independently of the developers of STRmix—misapprehends the inquiry.
Independent authorship may (or may not) represent the scientific ideal, but submission to peer
review generally suffices under Daubert. The court also overstated the risks of allowing the
developers of a new technology to be the ones who test it. The key developer of STRmix is a
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civil servant who works for New Zealand. Any revenue from sales of the software goes to a
government agency, which by all appearances seems as focused on sparing the innocent as on
convicting the guilty. What inculpates one day may exonerate the next with DNA-sorting
But even if that were not the case, even if STRmix had been developed by a for-profit
entity, that would not belittle its reliability. Think of all the medical and scientific breakthroughs
innovated by private corporations. Once one starts compiling that list, it is hard to stop. Come
to think of it, how many of the vaccines for COVID-19 grew out of not-for-profit work? Peer
review, together with the other Daubert factors, works well in handling the self-interest, whether
modest or extravagant, that comes with any invention.
Close with general acceptance. In concluding that this “factor does not add weight for a
finding that the STRmix DNA analysis is reliable,” R.161 at 43, the district court rooted its
reasoning in the concern that STRmix “remains controversial” among a subset of the scientific
community (computer scientists) and in cases involving small amounts of DNA. Id. But the
existence of criticism, particularly as applied in specific cases, does not mean that STRmix has
fallen short of “general” acceptance. The criticism at all events is overstated. Recall that the
court appointed two experts under Evidence Rule 706. It then claimed that, because these two
independent experts disagreed about using STRmix in this case, that meant it failed Daubert.
But one of the experts, Dr. Krane, was not as independent as the court suggested. He was the
president of the firm that employed Gissantaner’s expert, and he had previously worked on the
case for Gissantaner, all points explained to the court by the government. That does not prohibit
Dr. Krane from offering expert testimony about STRmix on behalf of Gissantaner. It just means
he should not have been treated as an independent Rule 706 expert in the case. See 29 Charles
Alan Wright & Victor Gold, Federal Practice and Procedure § 6304 (2d ed. 2016); cf. Gates v.
United States, 707 F.2d 1141, 1144 (10th Cir. 1983) (per curiam). All told, there was no conflict
between independent experts about the generally reliability of STRmix at low percentages and
low weights. In truth, the only independent expert in the case found it reliable.
The district court’s misframing of these three factors provides one ground for our
decision. Another is that the complete exclusion of such widely used scientific evidence, at least
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on this record, would amount to an abuse of discretion anyway. The district court mainly
questioned the reliability of this evidence because the Michigan State Police laboratory did not
internally validate STRmix at low contribution and weight levels. As shown, however, the
laboratory did validate STRmix at these levels, and so did the FBI. The district court’s concerns
with the laboratory’s internal validation stemmed largely from the way the data was presented:
(1) The validation summary did not mention mixtures similar to the one here—in which the
minor contributor donated a small absolute amount of DNA (49 picograms) and a small
percentage of the DNA in the mixture (7%)—and (2) the supplemental data, which explained
that the Michigan State Police laboratory ran tests on similar mixtures, did not include the
likelihood ratios or the false-positive rates from those tests.
Rule 702 does not require unstinting perfection in presenting test results. In light of the
extensive evidence of STRmix reliability, including at low levels, these concerns were for the
jury, not the court. See Kumho Tire, 526 U.S. at 153 (explaining that if reasonable experts
disagree, that is usually for the jury, not the court). If the district court still wished to exclude the
evidence based on a lack of data from the Michigan State Police laboratory’s internal validation,
it should have taken up the government’s offer to present more evidence from the internal
validation study. That is especially so given that the government had so far made good in
responding to shifting requests from Dr. Krane throughout the case. Maybe the government has
the precise false-positive rates from the laboratory’s internal study; maybe it does not. If it does,
its failure to anticipate the independent expert’s exact request does not justify excluding
STRmix. If it does not, any missing pieces can be used on cross-examination.
The court’s reasoning in excluding the evidence gives pause in another respect. The key
concern expressed by the court was the low percentage and low quantity (just 8 or 9 cells)
supplied by the minor contributor. But it is the STRmix software, and nothing else, that supplied
the factual premise for these points. It is puzzling to think that STRmix would be sufficiently
reliable to show that the minor contributor gave just 7% of the sample but then to cast doubt on
7% samples in general and to do so when combined with low weight samples (49 picograms) in
particular. Neither the district court nor Dr. Krane acknowledges, much less explains, the point.
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As this last point suggests, the admissibility of this evidence is not the end of the road for
Gissantaner. It may help him in some ways. Recall what the low 7% figure—created thanks to
STRmix—means. It suggests that Gissantaner contributed only 8 or 9 cells to the mixture of
DNA found on the gun. Holding a gun may not be the only way in which a small number of
cells could land on a gun. Gissantaner was the roommate of the gun’s owner. Perhaps their
interaction, their shared use of objects in the kitchen, or their shared touching of objects in the
house affected the sample. That is what trials and juries are for. Both sides also will have ample
opportunities to show whether the Michigan State Police laboratory’s testing of this sample was
handled correctly and used correctly, and Gissantaner remains free to identify defects in the
STRmix software. We have not hesitated to correct civil or criminal verdicts in which the trial
record showed that the science was misused. See Tamraz v. Lincoln Elec. Co., 620 F.3d 665 (6th
Cir. 2010). Evidence Rule 403 also remains relevant to the inquiry. A district court concerned
that the jury might misunderstand what the likelihood ratio means could require advocates to
describe it in a way that will not generate “unfair prejudice” or “mislead the jury.” Fed. R.
Evid. 403. Even with the admission of STRmix, the government still must show “beyond a
reasonable doubt” that Gissantaner possessed the gun. See Jackson v. Virginia, 443 U.S. 307,
309 (1979). That may become a critical question if no other credible evidence shows that
Gissantaner handled this gun.
Outcome: We reverse