Study Report

Reference	Toyota, T,2000 PMID: 11032376
Citation	Toyota, T., A. Watanabe, et al. (2000). "Association study on the DUSP6 gene, an affective disorder candidate gene on 12q23, performed by using fluorescence resonance energy transfer-based melting curve analysis on the LightCycler." Mol Psychiatry 5(5): 461, 489-494.
Disease Type	Bipolar Disorder & Major Depressive Disorder
Study Design	case-control
Study Type	Candidate-gene association study
Sample Size	Japanese unipolars (n = 132) and bipolars (n = 122), controls (n = 299)
SNP/Region/Marker Size	1 variant
Predominant Ethnicity	Mongloid
Population	Japanese
Gender	The unipolar patients consisted of 52 males and 80 females.The bipolar patients consisted of 70 males and 52 females. The controls included 177 males and 122 females.
Age Group	Adults : The unipolar patients: males (mean 56,SD=14 years), females(mean age 58,SD=13 years).The bipolar patients:males(mean 50,SD=13 years),females (mean 52,SD=12 years). Controls:males (mean 46,SD=10 years),females (mean 45,SD=15 years).

Sample Diagnosis	DSM
Sample Status	Mood disorder patients met the diagnostic criteria of the Diagnostic and Statistical Manual of Mental Disorders,Fourth Edition (DSM-IV), and were diagnosed as either unipolar or bipolar by the consensus of at least two psychiatrists. They consisted of both outpatients and inpatients. About 30% of the unipolars had a single episode and the rest had recurrent episodes. Sixty per cent of the bipolars were diagnosed as bipolar I and 40% were bipolar II. Control subjects were recruited from hospital staff documented to be free of psychoses, and company employees who did not manifest psychiatric problems in brief interviews by psychiatrists.
Technique	PCR and RFLP
Statistical Method	chi-square tests
Result Summary	No evidence for a significant disease-causing effect was found in Japanese unipolars (n = 132) and bipolars (n = 122), when compared with controls (n = 299). More importantly, this study demonstrates that melting curve analysis on the LightCycler is an accurate, rapid and robust method for discriminating genotypes from biallelic markers. This strategy has the potential for use in high throughput scanning for and genotyping of single nucleotide polymorphisms (SNPs).