Literature DB >> 24035701

Genome-wide linkage scan of quantitative traits representing symptom dimensions in multiplex schizophrenia families.

Seunghyong Ryu1, Hong-Hee Won, Sohee Oh, Jong-Won Kim, Taesung Park, Eun-Young Cho, Youngah Cho, Dong Yeon Park, Yu-Sang Lee, Jun Soo Kwon, Kyung Sue Hong.   

Abstract

Symptom dimensions of schizophrenia are likely to be the intermediate phenotypes under the control of disease-susceptibility genes, or separate traits related to disease-modifier genes. This study aimed to identify chromosomal loci linked to symptom dimensions of schizophrenia through genome-wide quantitative trait locus (QTL) linkage analysis. The study subjects consisted of 56 families with 183 members including 123 affected individuals. Symptom evaluations were performed on lifetime basis. Through principal component factor analysis, eight quantitative phenotypes representing symptom dimensions were identified. Genotyping was done for 6008 SNP markers, and genome-wide QTL linkage analysis was performed. No symptom dimension showed a significant linkage attaining genome-wide empirical thresholds. We observed seven regions yielding linkage signals attaining genome-wide empirical thresholds for suggestive linkage (NPL Z score = 2.78-3.49); chromosome 15q26.1 for 'non-paranoid delusion factor', 2p24.3 and 7q31.1 for 'prodromal impairment factor', 1q32.1, 9p21.3, and 9q31.2 for 'negative symptom factor', and 10p13 for 'disorganization factor'. Among these loci, chromosome 2p24.3 and 1q32.1 overlap with susceptibility loci of schizophrenia identified in our previous linkage studies. This study suggests the existence of genetic loci related to various clinical features of schizophrenia. Further genetic analyses for these dimensional phenotypes are warranted.
© 2013 Published by Elsevier Ireland Ltd.

Entities:  

Keywords:  Factor analysis; Linkage analysis; Quantitative traits; Schizophrenia; Symptom dimensions

Mesh:

Year:  2013        PMID: 24035701     DOI: 10.1016/j.psychres.2013.08.015

Source DB:  PubMed          Journal:  Psychiatry Res        ISSN: 0165-1781            Impact factor:   3.222


  3 in total

1.  Can genomics help usher schizophrenia into the age of RDoC and DSM-6?

Authors:  Ayman H Fanous
Journal:  Schizophr Bull       Date:  2015-05       Impact factor: 9.306

2.  The continuity of effect of schizophrenia polygenic risk score and patterns of cannabis use on transdiagnostic symptom dimensions at first-episode psychosis: findings from the EU-GEI study.

Authors:  Diego Quattrone; Ulrich Reininghaus; Alex L Richards; Giada Tripoli; Laura Ferraro; Andrea Quattrone; Paolo Marino; Victoria Rodriguez; Edoardo Spinazzola; Charlotte Gayer-Anderson; Hannah E Jongsma; Peter B Jones; Caterina La Cascia; Daniele La Barbera; Ilaria Tarricone; Elena Bonora; Sarah Tosato; Antonio Lasalvia; Andrei Szöke; Celso Arango; Miquel Bernardo; Julio Bobes; Cristina Marta Del Ben; Paulo Rossi Menezes; Pierre-Michel Llorca; Jose Luis Santos; Julio Sanjuán; Manuel Arrojo; Andrea Tortelli; Eva Velthorst; Steven Berendsen; Lieuwe de Haan; Bart P F Rutten; Michael T Lynskey; Tom P Freeman; James B Kirkbride; Pak C Sham; Michael C O'Donovan; Alastair G Cardno; Evangelos Vassos; Jim van Os; Craig Morgan; Robin M Murray; Cathryn M Lewis; Marta Di Forti
Journal:  Transl Psychiatry       Date:  2021-08-10       Impact factor: 6.222

3.  Association between ST8SIA2 and the Risk of Schizophrenia and Bipolar I Disorder across Diagnostic Boundaries.

Authors:  So Yung Yang; Ik Soo Huh; Ji Hyun Baek; Eun-Young Cho; Mi Ji Choi; Seunghyong Ryu; Ji Sun Kim; Taesung Park; Kyooseob Ha; Kyung Sue Hong
Journal:  PLoS One       Date:  2015-09-29       Impact factor: 3.240

  3 in total

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