This study aimed to examine the multidimensionality of schizotypy and validate the structure using ordered subset linkage analyses on information from both relatives' schizotypy and probands' schizophrenia symptoms. A total of 203 and 1, 310 nonpsychotic first-degree relatives from simplex and multiplex schizophrenia families, respectively, were interviewed with the Diagnostic Interview for Genetic Studies, which contains a modified Structured Interview for Schizotypy. Using Mplus program with categorical factor indicators, a four-factor model (Negative Schizotypy, Positive Schizotypy, Interpersonal Sensitivity, and Social Isolation/Introversion) was extracted by exploratory factor analysis from relatives of simplex families and was confirmed in relatives of multiplex families. The validity of each factor was supported by distinct linkage findings resulting from ordered subset analysis based on different combinations of schizophrenia-schizotypy factors. Six chromosomal regions with significant increase in nonparametric linkage z score (NPL-Z) were found as follows: 15q21.1 (NPLZ =3.60) for Negative Schizophrenia-Negative Schizotypy, 10q22.3 (NPL-Z=3.83) and 15q21.3 (NPL-Z=3.36) for Negative Schizophrenia-Social Isolation/Introversion, 5q14.2 (NPL-Z=3.20) and 11q23.3 (NPL-Z=3.31) for Positive Schizophrenia-Positive Schizotypy, and 4q32.1 (NPL-Z=3.31-) for Positive Schizophrenia-Interpersonal Sensitivity. The greatest NPL-Z of 3.83 on 10q22.3 in the subset was significantly higher than the greatest one of 2.88 in the whole sample l(empirical P-value=0.04). We concluded that a consistent four-factor model of schizotypy could be derived in nonpsychotic relatives across families of patients with different genetic loadings in schizophrenia. Their differential relations to linkage signals have etiological implications and provide further evidence for their validity.
|頁（從 - 到）||1-9|
|期刊||American Journal of Medical Genetics, Part B: Neuropsychiatric Genetics|
|出版狀態||已發佈 - 2010 一月 1|
ASJC Scopus subject areas
- Psychiatry and Mental health
- Cellular and Molecular Neuroscience