Nucleotide variation in central nervous system genes among male suicide attempters

Enrique Baca-Garcia, Concepción Vaquero-Lorenzo, M. Mercedes Perez-Rodriguez, Mònica Gratacòs, Mònica Bayés, Ricardo Santiago-Mozos, Jose Miguel Leiva-Murillo, Mario De Prado-Cumplido, Antonio Artes-Rodriguez, Antonio Ceverino, Carmen Diaz-Sastre, Pablo Fernandez-Navarro, Javier Costas, José Fernandez-Piqueras, Montserrat Diaz-Hernandez, Jose De Leon, Enrique Baca-Baldomero, Jeronimo Saiz-Ruiz, J. John Mann, Ramin V. ParseyAngel Carracedo, Xavier Estivill, Maria A. Oquendo

Research output: Contribution to journalArticlepeer-review

19 Scopus citations

Abstract

Despite marked morbidity and mortality associated with suicidal behavior, accurate identification of individuals at risk remains elusive. The goal of this study is to identify a model based on single nucleotide polymorphisms (SNPs) that discriminates between suicide attempters and non-attempters using data mining strategies. We examined functional SNPs (n=840) of 312 brain function and development genes using data mining techniques. Two hundred seventy-seven male psychiatric patients aged 18 years or older were recruited at a University hospital psychiatric emergency room or psychiatric short stay unit. The main outcome measure was history of suicide attempts. Three SNPs of three genes (rs10944288, HTR1E; hCV8953491, GABRP; and rs707216, ACTN2) correctly classified 67% of male suicide attempters and non-attempters (0.50 sensitivity, 0.82 specificity, positive likelihood ratio=2.80, negative likelihood ratio=1.64). The OR for the combined three SNPs was 4.60 (95% CI: 1.31-16.10). The model's accuracy suggests that in the future similar methodologies may generate simple genetic tests with diagnostic utility in identification of suicide attempters. This strategy may uncover new pathophysiological pathways regarding the neurobiology of suicidal acts.

Original languageEnglish
Pages (from-to)208-213
Number of pages6
JournalAmerican Journal of Medical Genetics, Part B: Neuropsychiatric Genetics
Volume153
Issue number1
DOIs
StatePublished - Jan 2010

Keywords

  • Glutamate receptors
  • Sensitivity and specificity
  • Serotonin receptors
  • Single nucleotide polymorphism
  • Statistical models

ASJC Scopus subject areas

  • Genetics(clinical)
  • Psychiatry and Mental health
  • Cellular and Molecular Neuroscience

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