Literature DB >> 17040433

Genetic epidemiology of vitiligo: a study of 815 probands and their families from south China.

Xiukun Sun1, Aie Xu, Xiaodong Wei, Jie Ouyang, Liangjun Lu, Meihua Chen, Dimin Zhang.   

Abstract

BACKGROUND: Genetic factors are thought to be involved in the development of vitiligo. AIM: To explore the possible genetic model of vitiligo by analyzing the genetic characteristics of 815 patients and their families from south China (Zhejiang Province).
METHODS: Data for 815 patients with vitiligo were obtained by questionnaire. The inheritance pattern estimation, heritability calculation, and complex segregation analysis were performed using the Penrose method, Falconer regression method, and SAGE-REGTL program, respectively.
RESULTS: In 815 vitiligo probands, 128 (15.7%) had a family history. The ratio of the sibling prevalence rate to the population prevalence rate (s/q) approached 1/square root q using the Penrose calculation, and the heritability degrees of vitiligo in the first- and second-degree relatives were 59.6% and 55.2%, respectively. The complex segregation analysis suggested that the dominant model was the best-fit genetic model for vitiligo.
CONCLUSIONS: Genetic factors play an important role in the occurrence of vitiligo, and the genetic model of vitiligo in this population is consistent with a polygenetic or multifactorial inheritance in a dominant major gene pattern.

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Mesh:

Year:  2006        PMID: 17040433     DOI: 10.1111/j.1365-4632.2006.02907.x

Source DB:  PubMed          Journal:  Int J Dermatol        ISSN: 0011-9059            Impact factor:   2.736


  14 in total

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8.  Familial Aggregation and Segregation Analysis in Families Presenting Autoimmunity, Polyautoimmunity, and Multiple Autoimmune Syndrome.

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Authors:  Naresh C Laddha; Mitesh Dwivedi; Amina R Gani; Mohmmad Shoab Mansuri; Rasheedunnisa Begum
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10.  Profile of vitiligo in kumaun region of uttarakhand, India.

Authors:  Saurabh Agarwal; Amit Ojha; Shalini Gupta
Journal:  Indian J Dermatol       Date:  2014-03       Impact factor: 1.494

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