2001 Fiscal Year Final Research Report Summary
Linkage analysis of schizophrenia using exploratory eye movement dysfunction
| Project/Area Number |
09470210
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| Research Category |
Grant-in-Aid for Scientific Research (B)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
Psychiatric science
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| Research Institution | Nihon University |
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Principal Investigator |
KOJIMA Takuya Department of Neuropsychiatry, School of Medicine, Nihon University, Professor, 医学部, 教授 (40014203)
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| Co-Investigator(Kenkyū-buntansha) |
ARINAMI Tadao Department of Medical Genetics, Institute of Basic Medical Science, University of Tsukuba, Associate Professor, 基礎医学系, 助教授 (10212648)
MATSUSIMA Eisuke Section of Liaison Psychiatry & Palliative Medicine, Division of Comprehensive Patient Care, Graduate School, Tokyo Medical & Dental University, Associate, 大学院, 助教授 (50242186)
MATSUURA Masato Department of Neuropsychiatry, School of Medicine, Nihon University, Professor, 医学部, 助教授 (60134673)
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| Project Period (FY) |
1997 – 2000
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| Keywords | Schizophrenia / Exploratory Eye Movement / Linkage Analysis / Quantitative Trait Measure / Chromosome 22q11 / Phenotype |
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| Research Abstract |
Objective : To date, several studies have demonstrated linkage of DNA markers in various chromosomal sites to schizophrenia. However, these linkage findings have not been completely consistent across studies. In this study, to surmount the difficulties in linkage analysis of schizophrenia, we employed genome-wide linkage analysis without utilizing diagnostic classification of schizophrenia as the phenotype. We used quantitative trait measure (exploratory eye movement : EEM), which was closely correlated with schizophrenia as the phenotype. Method : A 10-cM(centimorgan) resolution genome-wide linkage analysis between EEM disturbance and 358 highly polymorphic microsatellite markers in 38 nuclear families with 122 members(38 probands, 47 siblings and 37 parents) including 58 sib-pairs was performed. Results : The GCT10C10 marker on chromosome 22q11 yielded the significant linkage (LOD=3.48, p=3.1x10^<-5>)in parametric QTL analysis. The smallest p value was also observed at the GCT10G10 marker (Z=2.27, p=0.012) in nonparametric analysis. Conclusion : Our findings suggest that the use of specific quantitative trait of schizophrenia may offer augmented power in linkage analysis of schizophrenia. We propose that the EEM trait may be a promising tool for identifying gene(s) relating to etiology of schizophrenia.We also consider that linkage data of the NEFRS, paticularlyfor chromosome 22q11, may be promising hints for detecting gene(s) associated with schizophrenia,
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