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    Please use this identifier to cite or link to this item: http://ir.nhri.org.tw/handle/3990099045/4708


    Title: A GEE-based regression model on genetic variability of endophenotypes in schizophrenic families
    Authors: Lan, T;Hwu, H;Liu, C;Chen, W;Liu, Y
    Contributors: Division of Mental Health and Addiction Medicine
    Abstract: Introduction: Schizophrenia has been widely identified as a multi-factorial 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.
    Date: 2005-09
    Relation: American Journal of Medical Genetics Part B-Neuropsychiatric Genetics. 2005 Sep;138B(1):142-143.
    Link to: http://onlinelibrary.wiley.com/doi/10.1002/ajmg.b.v138b:1/issuetoc
    JIF/Ranking 2023: http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=NHRI&SrcApp=NHRI_IR&KeyISSN=1552-4841&DestApp=IC2JCR
    Cited Times(WOS): https://www.webofscience.com/wos/woscc/full-record/WOS:000232357300517
    Appears in Collections:[其他] 會議論文/會議摘要

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