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Articles by G. S Sachs
Total Records ( 4 ) for G. S Sachs
  R. H Perlis , J. W Smoller , M. A.R Ferreira , A McQuillin , N Bass , J Lawrence , G. S Sachs , V Nimgaonkar , E. M Scolnick , H Gurling , P Sklar and S. Purcell
 

OBJECTIVE: Lithium remains a first-line treatment for bipolar disorder, but the mechanisms by which it prevents the recurrence of mood episodes are not known. The authors utilized data from a genomewide association study to examine associations between single nucleotide polymorphisms (SNPs) and the outcome of lithium treatment in two cohorts of patients with bipolar I disorder or bipolar II disorder. METHOD: The hazard for mood episode recurrence was examined among 1,177 patients with bipolar I disorder or bipolar II disorder, including 458 individuals treated with lithium carbonate or citrate, who were participants in the Systematic Treatment Enhancement Program for Bipolar Disorder (STEP-BD) cohort. SNPs showing the greatest evidence of association in Cox regression models were then examined for association with positive lithium response among 359 bipolar I or II disorder patients treated with lithium carbonate or citrate in a second cohort from the University College London. RESULTS: The strongest association in the STEP-BD cohort (minimum p=5.5x10–7) was identified for a region on chromosome 10p15 (rs10795189). Of the regions showing suggestive evidence (p<5x 10–4) of association with lithium response, five were further associated with positive lithium response in the University College London cohort, including SNPs in a region on chromosome 4q32 spanning a gene coding for the glutamate/alpha-amino-3-hydroxy-5-methyl-4-isoxazolpropionate (AMPA) receptor GRIA2. CONCLUSIONS: Multiple novel loci merit further examination for association with lithium response in bipolar disorder patients, including one region that spans the GRIA2 gene, for which expression has been shown to be regulated by lithium treatment.

  M. J Ostacher , R. H Perlis , A. A Nierenberg , J Calabrese , J. P Stange , I Salloum , R. D Weiss , G. S Sachs and for STEP BD Investigators
  Objective

Bipolar disorder is highly comorbid with substance use disorders, and this comorbidity may be associated with a more severe course of illness, but the impact of comorbid substance abuse on recovery from major depressive episodes in these patients has not been adequately examined. The authors hypothesized that comorbid drug and alcohol use disorders would be associated with longer time to recovery in patients with bipolar disorder.

Method

Subjects (N=3,750) with bipolar I or bipolar II disorder enrolled in the Systematic Treatment Enhancement Program for Bipolar Disorder (STEP-BD) were followed prospectively for up to 2 years. Prospectively observed depressive episodes were identified for this analysis. Subjects with a past or current drug or alcohol use disorder were compared with those with no history of drug or alcohol use disorders on time to recovery from depression and time until switch to a manic, hypomanic, or mixed episode.

Results

During follow up, 2,154 subjects developed a new-onset major depressive episode; of these, 457 subjects switched to a manic, hypomanic, or mixed episode prior to recovery. Past or current substance use disorder did not predict time to recovery from a depressive episode relative to no substance use comorbidity. However, those with current or past substance use disorder were more likely to experience switch from depression directly to a manic, hypomanic, or mixed state.

Conclusions

Current or past substance use disorders were not associated with longer time to recovery from depression but may contribute to greater risk of switch into manic, mixed, or hypomanic states. The mechanism conferring this increased risk merits further study.

  J Huang , R. H Perlis , P. H Lee , A. J Rush , M Fava , G. S Sachs , J Lieberman , S. P Hamilton , P Sullivan , P Sklar , S Purcell and J. W. Smoller
  Objective:

Family and twin studies indicate substantial overlap of genetic influences on psychotic and mood disorders. Linkage and candidate gene studies have also suggested overlap across schizophrenia, bipolar disorder, and major depressive disorder. The purpose of this study was to apply genomewide association study (GWAS) analysis to address the specificity of genetic effects on these disorders.

Method:

The authors combined GWAS data from three large effectiveness studies of schizophrenia (CATIE, genotyped: N=741), bipolar disorder (STEP-BD, geno-typed: N=1,575), and major depressive disorder (STAR*D, genotyped: N=1,938) as well as from psychiatrically screened control subjects (NIMH-Genetics Repository: N=1,204). A two-stage analytic procedure involving an omnibus test of allele frequency differences among case and control groups was applied, followed by a model selection step to identify the best-fitting model of allelic effects across disorders.

Results:

The strongest result was seen for a single nucleotide polymorphism near the adrenomedullin (ADM) gene (rs6484218), with the best-fitting model indicating that the effect was specific to bipolar II disorder. Findings also revealed evidence suggesting that several genes may have effects that transcend clinical diagnostic boundaries, including variants in NPAS3 that showed pleiotropic effects across schizophrenia, bipolar disorder, and major depressive disorder.

Conclusions:

This study provides the first genomewide significant evidence implicating variants near the ADM gene on chromosome 11p15 in psychopathology, with effects that appear to be specific to bipolar II disorder. Although genomewide signifi-cant evidence of cross-disorder effects was not detected, the results provide evidence that there are both pleiotropic and disorder-specific effects on major mental illness and illustrate an approach to dissecting the genetic basis of mood and psychotic disorders that can inform future large-scale cross-disorder GWAS analyses.

 
 
 
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