Defining and assessing international classification of disease suicidality phenotypes for genetic studies

Eric T. Monson(Huntsman Cancer Institute), Sarah M. C. Colbert(Icahn School of Medicine at Mount Sinai), Peter B. Barr(SUNY Downstate Health Sciences University), Cosmin A. Bejan(Vanderbilt University Medical Center), Ole A. Andreassen(Oslo University Hospital), Olatunde Ayinde(University of Ibadan), Zuriel Ceja(QIMR Berghofer Medical Research Institute), Hilary Coon(Huntsman Cancer Institute), Emily DiBlasi(Huntsman Cancer Institute), Anastasia Izotova(Lovisenberg Diakonale Høgskole), Erin A. Kaufman(Huntsman Cancer Institute), Maria Koromina(Icahn School of Medicine at Mount Sinai), Woojae Myung(Seoul National University Bundang Hospital), John I. Nürnberger(Indiana University – Purdue University Indianapolis), Alessandro Serretti(Università degli Studi di Enna Kore), Jordan W. Smoller(Massachusetts General Hospital), Murray Stein(UC San Diego Health System), Clement C. Zai(Centre for Addiction and Mental Health), Mihaela Aslan(Yale University), Tim B. Bigdeli(SUNY Downstate Health Sciences University), Philip D. Harvey(Bruce W. Carter VA Medical Center), Nathan A. Kimbrel(Durham VA Health Care System), Pujan R. Patel(Durham VA Health Care System), Douglas M. Ruderfer(Vanderbilt University Medical Center), Anna R. Docherty(University of Utah), Niamh Mullins(Icahn School of Medicine at Mount Sinai), J. John Mann(Columbia University)
Psychiatry Research
October 2, 2025
Cited by 2Open Access
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Abstract

INTRODUCTION: Suicidality, including suicidal ideation (SI), attempt (SA), and death (SD), represents complex and partially overlapping phenotypes that are moderately heritable. Suicidality definition heterogeneity impedes data replication and consolidation efforts by research consortia needed to address the sample size requirements of genetic research. The standardization of suicidality definitions would improve comparability of data across groups but has been insufficiently addressed in existing literature. Here, the Suicide Workgroup of the Psychiatric Genomics Consortium (PGC) provides International Classification of Disease (ICD) definitions and validation in real-world data for SA and SI. METHODS: The PGC Suicide Workgroup used published definitions coupled with expert consensus to develop ICD lists to serve as suicidality phenotype definitions. One SI and two SA lists were produced and evaluated for performance, including via sex stratification, against patient screening responses in multiple independent cohorts (total N = 21,772) with differing ascertainment strategies. RESULTS: ICD code lists for suicidality component definitions were produced. SA ICD lists versus patient responses showed sensitivity of 15.4 % to 71.1 %, specificity of 67.6 % to 96.3 %, and positive predictive values of 0.57-0.92. SI ICD code performance versus patient report also varied in sensitivity (29.4 %-86.1 %), specificity (64.2 % to 90.6 %), and positive predictive values (0.67 to 0.98). CONCLUSIONS: Lists of applicable ICD codes for SI and SA were developed that complied with C-SSRS definitions. Real-world application of ICD codes can vary substantially, perhaps dependent on clinician training and on cohort characteristics. Consistent training in use of ICD codes between sites may improve comparability of data sets.


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