A goodness-of-fit test for the polygenic threshold model: application to multiple sclerosis.
A goodness-of-fit test for the polygenic threshold model: application to multiple sclerosis.
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多基因阈值模型的拟合优度检验：在多发性硬化症中的应用。
DOI：
10.1002/ajmg.1320080315
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发表时间：
1981
期刊：
影响因子：
--
通讯作者：
Tideman,S
中科院分区：
文献类型：
--
作者：
Sadovnick,AD;Spence,MA;Tideman,S
最近有人提出多发性硬化症可能是一种多因素疾病。我们在不列颠哥伦比亚省发现了 364 个家庭（兄弟姐妹人数⩾ 2），其中至少有一个兄弟姐妹被诊断患有“临床明确”的多发性硬化症。使用考虑各种参数（包括确定概率、遗传力和性别依赖性患病率）的分析来测试数据与多因素模型的拟合优度。结果表明多发性硬化症不适合多因素模型。作为另一种遗传模型，我们提出一个主要基因可能与至少部分多发性硬化症病例有关。
Recently it has been suggested that multiple sclerosis may be a multifactorial disorder. We found in British Columbia 364 families (sibship size ⩾ 2) in which at least one sibling was diagnosed as having “clinically definite” multiple sclerosis. The data were tested for goodness‐of‐fit to the multifactorial model using an analysis that considers various parameters including ascertainment probability, heritability, and sex‐dependent prevalence rates. The results suggest that multiple sclerosis does not fit the multifactorial model. As an alternative genetic model we propose that a major gene could be responsible for at least a portion of the cases of multiple sclerosis.