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Nucleotide variation in central nervous system genes among male suicide attempters
Author(s) -
BacaGarcia Enrique,
VaqueroLorenzo Concepción,
PerezRodriguez M. Mercedes,
Gratacòs Mònica,
Bayés Mònica,
SantiagoMozos Ricardo,
LeivaMurillo Jose Miguel,
de PradoCumplido Mario,
ArtesRodriguez Antonio,
Ceverino Antonio,
DiazSastre Carmen,
FernandezNavarro Pablo,
Costas Javier,
FernandezPiqueras José,
DiazHernandez Montserrat,
de Leon Jose,
BacaBaldomero Enrique,
SaizRuiz Jeronimo,
Mann J. John,
Parsey Ramin V.,
Carracedo Angel,
Estivill Xavier,
Oquendo Maria A.
Publication year - 2010
Publication title -
american journal of medical genetics part b: neuropsychiatric genetics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.393
H-Index - 126
eISSN - 1552-485X
pISSN - 1552-4841
DOI - 10.1002/ajmg.b.30975
Subject(s) - single nucleotide polymorphism , suicide attempt , psychiatry , medicine , poison control , psychology , clinical psychology , suicide prevention , gene , genetics , biology , genotype , medical emergency
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. © 2009 Wiley‐Liss, Inc.