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Developing a Rat Model for Bipolar Disorder
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Defining and Assessing International Classification of Disease Suicidality Phenotypes for Genetic Studies.

Eric T Monson1,2, Sarah M C Colbert3,4,5, Ole A Andreassen6,7,8,9

  • 1Department of Psychiatry, University of Utah Spencer Fox Eccles School of Medicine.

Medrxiv : the Preprint Server for Health Sciences
|August 12, 2024
PubMed
Summary
This summary is machine-generated.

Standardized definitions for suicidal ideation, attempt, and death are crucial for suicide research. This study provides expert recommendations to improve data consistency and facilitate genetic studies.

Keywords:
International Classification of DiseasePsychiatric GeneticsSuicidalityphenotypesuicidal ideationsuicide attempt

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Area of Science:

  • Psychiatry
  • Genetics
  • Epidemiology

Background:

  • Suicidality phenotypes like suicidal ideation (SI), attempt (SA), and death (SD) lack standardized definitions.
  • This heterogeneity impedes research, particularly in evaluating clinical and genetic risk factors.
  • Standardized definitions are critical for comparing results and combining samples in suicide research.

Purpose of the Study:

  • To present expert and data-supported recommendations for defining suicidality phenotypes (SI, SA, SD) and control groups.
  • To facilitate the merging of current and legacy samples with definition variability.
  • To aid in the creation of future samples for more robust suicide research.

Main Methods:

  • A subgroup of the Psychiatric Genomics Consortium (PGC) reviewed existing definitions for SI, SA, SD, and control groups.
  • Consensus guidelines were generated for instrument-derived and International Classification of Disease (ICD) data.
  • ICD-based definitions for SA were validated in two independent datasets (N = 9,151 and 12,394).

Main Results:

  • Recommendations are provided for evaluated instruments for SA and SI, emphasizing lifetime measures and phenotype-specific wording.
  • Recommendations are also provided for defining SI and SD from ICD data.
  • Validation of SA ICD definitions showed varying sensitivity (15.4%-80.6%), specificity (67.6%-97.4%), and positive predictive values (0.59-0.93).

Conclusions:

  • Best-practice guidelines are presented for defining SI/SA/SD in consortia research.
  • These proposed definitions aim to facilitate more homogeneous data aggregation for genetic and multisite studies.
  • Future research should focus on refining, generalizing, and validating these definitions in diverse populations.