Complex Segregation Analysis Provides Evidence for Autosomal Dominant Transmission in the Chinese Han Families with Ankylosing Spondylitis

Author:

Jiang Yutong1ORCID,Lv Qing1ORCID,Rao Shaoqi2,Liao Zetao1ORCID,Zhang Pingping1ORCID,Yang Mingcan1ORCID,Li Qiuxia1ORCID,Cao Shuangyan1ORCID,Lin Zhiming1,Gu Jieruo1ORCID

Affiliation:

1. Department of Rheumatology, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China

2. Department of Medical Statistics and Epidemiology, School of Public Health, Guangdong Medical University, Dongguan, China

Abstract

Introduction. Familial aggregation of ankylosing spondylitis (AS) has been frequently noticed. However, the mode of inheritance in AS remains poorly understood. Our aim was to determine the mode of inheritance best fitting the observed transmission pattern of AS families. Methods. Families with 5 or more AS patients diagnosed with 1984 modified New York criteria were recruited. We performed complex segregation analysis for a binary trait in regressive multivariate logistic models. The inheritance models, including sporadic, major gene, environmental, general, and other 9 models, were compared by likelihood ratio tests and Akaike’s Information Criterion. Results. This research included 9 Chinese Han AS families with a total number of 315 persons, including 74 patients. First, familial association was determined. Sporadic with familial association model was rejected when compared with either the general model or the homogeneous general model (p<0.001). The environmental model was also rejected when compared with general models (p<0.02). Mendelian dominate mode fitted best in 5 AS families, while Tau AB free model best explained the mode of inheritance in these AS families. Conclusion. This study provided evidence in support of Mendelian dominant mode and firstly discovered a non-Mendelian mode called tau AB free inheritance mode in AS.

Funder

Sun Yat-sen University

Publisher

Hindawi Limited

Subject

General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,General Medicine

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