Bryan Pesta v. Cleveland State Univ.

Court of Appeals for the Sixth Circuit·Decided November 4, 2025·No. 24-3947·Unpublished

Opinion

NOT RECOMMENDED FOR PUBLICATION File Name: 25a0511n.06

No. 24-3947

UNITED STATES COURT OF APPEALS FOR THE SIXTH CIRCUIT

) FILED BRYAN PESTA, Nov 04, 2025 )

Plaintiff-Appellant, ) KELLY L. STEPHENS, Clerk )

v. )

)

CLEVELAND STATE UNIVERSITY; ) ON APPEAL FROM THE CLEVELAND STATE UNIVERSITY BOARD ) UNITED STATES DISTRICT OF TRUSTEES, in their official capacities; ) COURT FOR THE NORTHEN LAURA BLOOMBERG, in her individual and ) DISTRICT OF OHIO official capacity; HARLAN M. SANDS, in his ) individual capacity; BENJAMIN WARD, in his ) OPINION individual capacity; CHRISTOPHER MALLETT, ) in his individual capacity; CONOR MCLENNAN, ) in his individual capacity; WENDY REGOECZI, ) in her individual capacity, )

Defendants-Appellees. )

)

Before: SUTTON, Chief Judge; GIBBONS and WHITE, Circuit Judges.

HELENE N. WHITE, Circuit Judge. Plaintiff-Appellant Bryan Pesta appeals the grant of summary judgment to the Cleveland State University (“CSU”) Defendants-Appellees on his claims alleging that CSU investigated and fired him from his tenured position in violation of his First Amendment rights, after he co-authored a controversial paper. We AFFIRM.

I. Facts

Pesta began working for CSU in 1998 as a visiting assistant professor. He earned tenure in 2010 and became a “Full Professor” in 2016. In August 2019, Pesta, together with Jordan Lasker, John Fuerst, and Emil Kirkegaard, published Global Ancestry and Cognitive Ability (hereinafter “Global Ancestry”). In Global Ancestry, Pesta and his co-authors purported to have

found support for a difference in cognitive ability between African-Americans and European- Americans and “genetics as a potential partial explanation for group mean differences in intelligence.” R. 18, PageID 331, 353.

The prospect of authoring a paper like Global Ancestry arose around March 2018, when Pesta met with Fuerst in person for the first time. Pesta testified that the two discussed a research project about race and intelligence quotient (“IQ”) scores, as well as how to acquire the data needed for that project. In particular, Pesta and his co-authors sought data from the National Institutes of Health (“NIH”) derived from the Trajectories of Complex Phenotypes (“TCP”) study, which catalogued the cognitive and mental-health development of around 10,000 Philadelphia-area adolescents. The TCP dataset is available through the NIH’s Database of Genotypes and Phenotypes (“dbGaP”), parts of which the NIH subjects to restricted access (referred to as “controlled-access data”). The NIH restricts access to protect and respect study participants, in part because permitting misleading or degrading use of sensitive data would undermine the public’s willingness to participate in studies and, in turn, result in less robust databases for researchers’ use.

To acquire access, a researcher (called the “principal investigator”) submits a research proposal in a “Data Access Request” (“DAR”) to an NIH committee that confirms the project conforms with participant consent and other restrictions. Included with a DAR is a Data Use Certificate (“DUC”) governing the principal investigator, his or her institution (here, CSU), and the NIH. The DUC outlines the researchers’ and institution’s obligations, including using the data “solely in connection with the research project described in the DAR”; refraining from sharing the data with “any entity or individual not covered in the submitted [DAR]”; taking certain security measures to protect access to the data; and providing the NIH committee “annual feedback on how

these data have been used and any results that have been generated as a result of access to the data, including patents and publications.” R. 38-7, PageID 969, 971, 973; see also R. 38-11, PageID 1008–17 (2019 version of the DUC providing for substantially similar obligations). Other NIH policies, such as its Genomic Data User Code of Conduct, imposed similar obligations.

Pesta was the principal investigator for three requests relevant to this case, though he testified that he and Fuerst “co-drafted” the requests. R. 38, PageID 721. On April 12, 2018, Pesta submitted a DAR (the “First Request”) to the NIH proposing that he would use the TCP study to investigate “whether there are more than trivial differences in general cognitive ability” “[b]etween [the] sexes.” R. 38-7, PageID 967.

On July 15, 2018, Pesta submitted another DAR to the NIH (the “Second Request”). Given that “diagnosis rates for different mental disorders (e.g., schizophrenia, depression) vary across ethnic groups,” Pesta sought access to the TCP dataset to research whether “global ancestry predicts mental health outcomes.” R. 38-9, PageID 991. Put differently, Pesta sought to discern whether “evolutionary causes” more adequately explained this difference than the conventional explanation of “diagnostic bias.” Id. He noted that he “already received access to these data” through the First Request. Id.

On September 11, 2018, Pesta emailed CSU officials to request a paid sabbatical for Fall 2019 to research “why are some people (and groups of people) smarter than others” by “estimat[ing] a person’s ancestry” and “see[ing] if these ancestry estimates predict cognitive ability.” R. 38, PageID 675–76; R. 38-4, PageID 781, 786. CSU approved the request without any indication that it took issue with the subject matter.

On September 19, 2018, shortly after making his sabbatical request, Pesta submitted yet another DAR to the NIH (the “Third Request”). In the non-technical summary section, he explained that “recent studies have constructed polygenic scores (PGS) for various traits,” including “educational attainment . . . and schizophrenia.” R. 38-12, PageID 1020.1 Pesta asserted “significant concern” regarding “the transethnic validity of PGS,” because low transethnic validity “potentially limits the utility of PGS for epidemiological research.” Id. Pesta therefore proposed investigating “the effect of PGS construction on the transethnic validity of PGS for two traits; educational attainment and schizophrenia.” Id. In a different section, Pesta characterized the relevant two traits as “educational attainment / intelligence and schizophrenia.” Id. And he added that “[t]he study will be a correlational analysis of the statistical association between various PGSs and cognitive ability. We will conduct analyses separately in White and African American samples.” Id. At some point, Pesta and his team sought to generate more ancestry data from the TCP dataset. At the time of the TCP study, participants self-reported race or ethnicity. To supplement the self-reported data, Pesta developed a “genetic estimate of ancestry” by uploading TCP data to a Netherlands-based server used in connection with a program called HIrisPlex-S. R. 38, PageID 688–89, 706; R. 46-3, PageID 1556–57. In violation of the DUC’s admonition against transferring data to “any entity or individual not covered in the submitted [DAR],” R. 38-7, PageID 971, Pesta did not obtain approval from the NIH to upload the TCP data to the other server; he

1 Defendants-Appellees’ expert explained that “PGS are summary calculations made from a population’s genetic information in order to improve genetic prediction/explanation of diseases and related outcomes. Different methods (i.e., algorithms) for PGS construction in different data can lead to different summary measures, and thus differences in estimated relationships between a given PGS and outcome variable, such as intelligence or disease.” R. 50-1, PageID 1830 (footnote omitted).

acknowledged this was an “oversight,” R. 38, PageID 706. However, he also maintained that the NIH had approved other researchers’ use of the same program.

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