https://scholars.lib.ntu.edu.tw/handle/123456789/198623
Title: | A Gee-Based Regression Model on Genetic Variability of Endophenotypes in Schizophrenic Families | Authors: | LAN, TSUO-HUNG HWU, HAI-GWO 陳為堅 |
Issue Date: | 2005 | Journal Issue: | n.1 | Start page/Pages: | 142-143 | Source: | AMERICAN JOURNAL OF MEDICAL GENETICS PART B-NEUROPSYCHIATRIC GENETICS v .138B | Abstract: | Introduction: Schizophrenia has been widely identified as a multifactorial disorder, and prevalent endophenotypes including cognitive function, attention, or symptom clusters , among families schizophrenic proband were targeted for etiological studies. Methods: We recruited from two sample- collecting programs the multidimensional psychopathology study of schizophrenia (MPSS, 86 families) from 1993 to 2001 and the Taiwan schizophrenia linkage study (TSLS, 132 families) from 1998 to 2002. Subjects were interviewed by the research psychiatrists using the Psychiatrist Diagnostic Assessment (PDA) or the Mandarin Chinese version of the Diagnostic Interview for Genetic Studies (DIGS). The final diagnostic assessment was formulated by integrating either the PDA or the DIGS data and clinical information of medical chart records according to DSM-IV. A total of 218 schizophrenic nuclear families with at least two affected siblings of 1016 subjects were participated in this study. The genomic DNA samples were SNP genotyped on 9 candidate genes. Participants were also measured by using WCST, CPT, and PANSS. Results: The explanatory ability of all genotypes within 9 candidate regions after adjusted for sex and age based on GEE distribution varies from 0.27 (disorganized symptom cluster in PANSS) to 0.72 (Z score in WCST). Conclusions: It suggested that the target endophenotype with a higher genetic composition might be differentiated from others by using the GEE-based regression model. |
URI: | http://ntur.lib.ntu.edu.tw//handle/246246/89630 |
Appears in Collections: | 醫學系 |
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