The "S" Allele of the Serotonin Transporter Is Not Associated with Major Depression in a Sample OF Veterans.

The results of some studies suggest that the serotonin transporter-linked polymorphic region (5-HTTLPR) short (S) allele, relative to the long (L) allele, is associated with risk for Major Depressive Disorder (MDD), and thus serves as a biomarker for MDD, while results from other studies do not support that conclusion. Persons with an S allele demonstrate a 2- to 2.5 fold decrease in serotonin transcription rate compared to the L-allele, which may increase their risk for MDD. Differences in study populations may help explain the differences in findings between those meta-analyses. To date, there have been no published reports which have addressed the possible association between the S allele and MDD among military veterans. This manuscript describes a first study to assess the possible association of the S allele with MDD among a study population of veterans in treatment for a substance use disorder. We hypothesized that the S allele would be associated with MDD in our study sample. Subjects signing informed consent were 101 Veterans recruited from VA behavioral health and substance use treatment clinics in the VA Pittsburgh Healthcare System, and 91 of those subjects were genotyped for 5-HTTLPR polymorphisms. The study sample from whom genetic material was collected included 82 males and 9 females, of whom 53 were white, 38 were black, and one was "other". Fifty-four members of the study sample (59%) met DSM-IV criteria for an MDD on the SCID. Forty-five of the subjects demonstrated one or two S alleles, while 46 did not do so. The presence of the S allele of the serotonin transporter was not found to be significantly associated with the diagnosis of major depressive disorder in our sample (Chi-square=0.1.63, df=1, p=0.199). That finding, in combination with other recent negative findings from other researchers involving non-veterans, raises questions regarding the clinical utility of utilizing genetics tests involving the assessment of the alleles of the serotonin transporter as a possible biomarker for MDD.

The "S" Allele of the Serotonin Transporter Is Not Associated with Major Depression or Alcohol Use Disorders in a Veteran Sample.

The results of some studies suggest that the serotonin transporter-linked polymorphic region (5-HTTLPR) short (S) allele, relative to the long (L) allele, is associated with risk for Major Depressive Disorder (MDD) and for Alcohol Use Disorder (AUD), and thus serves as biomarker for those disorders, while results from other studies do not support that conclusion. Persons with an S allele demonstrate a 2- to 2.5 fold decrease in serotonin transcription rate compared to the L-allele, which may increase their risk for MDD. Differences in study populations may help explain the differences in findings between those meta-analyses. To date, there have been no published reports which have addressed the possible association between the S allele and MDD among military veterans. This manuscript describes a first study to assess the possible association of the S allele with MDD or with AUD among a study population of veterans in treatment for a substance use disorder. We hypothesized that the S allele would be associated with MDD in our study sample. Subjects signing informed consent were 101 Veterans recruited from VA behavioral health and substance use treatment clinics in the VA Pittsburgh Healthcare System, and 91 of those subjects were genotyped for 5-HTTLPR polymorphisms. The study sample from whom genetic material was collected included 82 males and 9 females, of whom 53 were white, 38 were black, and one was "other". Fifty-four members of the study sample (59%) met DSM-IV criteria for an MDD on the SCID. Forty-five of the subjects demonstrated one or two S alleles, while 46 did not do so. The presence of the S allele of the serotonin transporter was not found to be significantly associated with the diagnosis of major depressive disorder or with alcohol use disorders in our sample. Those findings, in combination with other recent negative findings from other researchers involving non-veterans, raise questions regarding the clinical utility of utilizing genetics tests involving the assessment of the alleles of the serotonin transporter as a possible biomarker for MDD or for AUD.

Suicidal Ideation Associated with PCL Checklist-Ascertained PTSD among Veterans Treated for Substance Abuse.

This manuscript begins by reviewing the literature concerning the use of the SCID versus the PCL for diagnosing PTSD, and by reviewing the literature regarding the presence of suicidal ideation as a clinical correlate of PTSD. This manuscript then describes our recent study involving PTSD among Veterans, which assessed the presence of suicidal ideation as a clinical correlate of PTSD, as diagnosed by the SCID versus as diagnosed by the PCL. We hypothesized that the presence of suicidal ideation would be associated with a diagnosis of PTSD. Subjects were 101 Veterans recruited from VA behavioral health and substance use treatment clinics in the VA Pittsburgh Healthcare System. The study compared correlations of suicidal ideation with PTSD as determined with the PTSD Checklist versus the Structured Clinical Interview for DSM-IV, and utilized question 9 of the Beck Depression Inventory for assessing presence of SI. PTSD was diagnosed in 15 subjects using the SCID, and in 15 subjects using the PTSD Checklist. SI were reported by 16 subjects. The presence of SI was significantly associated with the diagnosis of PTSD on the PCL (chi-square=5.73, df=1, p=0.017) but not on the SCID (chi-square=0.08, df=1, p=0.773). These findings suggest that SI associated with the diagnosis of PTSD among Veterans are better ascertained by the PCL as compared to the more elaborate diagnostic algorithm used in the SCID. The current study finding raises the possibility that a less complicated diagnostic assessment instrument such as the PCL may be superior to the SCID, a more complicated instrument for diagnosing PTSD, at least in some populations.