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DOI 10.1155/2017/4515701

Медицинская библиотека · BioMed research international · 2017

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

Jiang Yutong, Lv Qing, Rao Shaoqi, Liao Zetao, Zhang Pingping, Yang Mingcan, Li Qiuxia, Cao Shuangyan, Lin Zhiming, Gu Jieruo

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Аннотация

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.

Для цитирования: Jiang Yutong, Lv Qing, Rao Shaoqi, Liao Zetao, Zhang Pingping, Yang Mingcan, Li Qiuxia, Cao Shuangyan, Lin Zhiming, Gu Jieruo. Complex Segregation Analysis Provides Evidence for Autosomal Dominant Transmission in the Chinese Han Families with Ankylosing Spondylitis.. BioMed research international. 2017. DOI: 10.1155/2017/4515701.

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