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    정신분열별 유전연구의 난점과 해결방안 = Difficulties and Alternative Methods of Genetic Studies of Schizophrenia

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    https://www.riss.kr/link?id=A19563015

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    다국어 초록 (Multilingual Abstract) kakao i 다국어 번역

    Previous genetic studies on schizophrenia has been failed to show any confirmatory results, even though it is clear that genetic factors are working substantially on developing schizophrenia. In this review the reasons of difficulties to reach consistent findings was searched at the aspect of phenotype definition and statistica methods as well as alternative methods possibly to overcome these difficulties. The common statistical problems are multiple testing, population stratification, improper study design or analytic methods, and small sample size. The problems associated with phenotype are vagueness of schizophrenic symptoms and no objective laboratory methods to diagnose schizophrenia. Alternative methods possibly to solve these problems are suggested. For statistical difficulties, p value or LOD score corrected for multiple testing, simulation studies, family based control association study, large scale association studies suing dense SNPs, nonparametric analysis, collaborative studies, meta-analysis are suggested. For phenotype difficulties, more objective standardized international instrument such as DIGS, clinical subtype, symptom itself as a phenotype, various trials to define diagnostic borderline, quantitative biological endophenotype, and animal model are considered. Recent rapid progress of molecular genetic technology and rapidly accumulating genetic information and development of more proper study design and statistical analysis for schizophrenia will make it possible to find susceptible genes for schizophrenia in nearest future.
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    Previous genetic studies on schizophrenia has been failed to show any confirmatory results, even though it is clear that genetic factors are working substantially on developing schizophrenia. In this review the reasons of difficulties to reach consist...

    Previous genetic studies on schizophrenia has been failed to show any confirmatory results, even though it is clear that genetic factors are working substantially on developing schizophrenia. In this review the reasons of difficulties to reach consistent findings was searched at the aspect of phenotype definition and statistica methods as well as alternative methods possibly to overcome these difficulties. The common statistical problems are multiple testing, population stratification, improper study design or analytic methods, and small sample size. The problems associated with phenotype are vagueness of schizophrenic symptoms and no objective laboratory methods to diagnose schizophrenia. Alternative methods possibly to solve these problems are suggested. For statistical difficulties, p value or LOD score corrected for multiple testing, simulation studies, family based control association study, large scale association studies suing dense SNPs, nonparametric analysis, collaborative studies, meta-analysis are suggested. For phenotype difficulties, more objective standardized international instrument such as DIGS, clinical subtype, symptom itself as a phenotype, various trials to define diagnostic borderline, quantitative biological endophenotype, and animal model are considered. Recent rapid progress of molecular genetic technology and rapidly accumulating genetic information and development of more proper study design and statistical analysis for schizophrenia will make it possible to find susceptible genes for schizophrenia in nearest future.

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