Advanced Molecular Investigation Core, Graduate Program in Health Sciences, Pontifical Catholic University of Paraná, Curitiba, Paraná, Brazil.
J Infect Dis. 2010 May 15;201(10):1598-605. doi: 10.1086/652007.
Leprosy is a chronic infectious disease that affects 250,000 new individuals/year worldwide. Genetic analysis has been successfully applied to the identification of host genetic factors affecting susceptibility to leprosy; however, a consensus regarding its mode of inheritance is yet to be achieved.
We conducted a complex segregation analysis (CSA) on leprosy using data from the Prata Colony, an isolated, highly endemic former leprosy community located at the outskirts of the Brazilian Amazon. The colony offers large multiplex, multigenerational pedigrees composed mainly by descendents of a small number of original leprosy-affected families. Our enrollment strategy was complete ascertainment leading to the inclusion of the whole colony (2005 individuals, 225 of whom were affected) distributed in 112 pedigrees. CSA was performed using REGRESS software.
CSA identified a best-fit codominant model, with a major gene accounting for the entire familial effect observed. The frequency of predisposing allele was estimated at 0.22. Penetrance for homozygous individuals for the predisposing allele >30 years old ranged from 56% to 85%, depending on sex.
A strong major gene effect in the isolated, hyperendemic Prata Colony indicates enrichment of genetic risk factors, suggesting a population particularly suitable for leprosy gene identification studies.
麻风病是一种慢性传染病,全球每年新增病例 25 万例。遗传分析已成功应用于识别影响麻风病易感性的宿主遗传因素;然而,其遗传模式尚未达成共识。
我们利用位于巴西亚马逊州郊外的一个孤立的高度流行前麻风病社区——普拉塔殖民地的数据,对麻风病进行了复杂分离分析(CSA)。该殖民地提供了大量的多代、多基因系谱,主要由少数最初受麻风病影响的家庭的后代组成。我们的招募策略是完整的确定,导致包括整个殖民地(2005 人,其中 225 人受影响)分布在 112 个系谱中。CSA 使用 REGRESS 软件进行。
CSA 确定了最佳适合的共显性模型,主要基因占观察到的整个家族效应。易感等位基因的频率估计为 0.22。对于 30 岁以上携带易感等位基因的纯合个体,根据性别不同,外显率从 56%到 85%不等。
在孤立的、高度流行的普拉塔殖民地中,强烈的主要基因效应表明遗传风险因素的富集,表明该人群特别适合麻风病基因识别研究。