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复杂遗传性疾病的可交换模型。

Exchangeable models of complex inherited diseases.

作者信息

Slatkin Montgomery

机构信息

Department of Integrative Biology, University of California, Berkeley, California 94720-3140, USA.

出版信息

Genetics. 2008 Aug;179(4):2253-61. doi: 10.1534/genetics.107.077719. Epub 2008 Aug 9.

Abstract

A model of unlinked diallelic loci affecting the risk of a complex inherited disease is explored. The loci are equivalent in their effect on disease risk and are in Hardy-Weinberg and linkage equilibrium. The goal is to determine what assumptions about dependence of disease risk on genotype are consistent with data for diseases such as schizophrenia, bipolar disorder, autism, and multiple sclerosis that are relatively common (0.1-2% prevalence) and that have high concordance rates for monozygotic twins (30-50%) and high risks to first-degree relatives of affected individuals (risk ratios exceeding 4). These observations are consistent with a variety of models, including generalized additive, multiplicative, and threshold models, provided that disease risk increases rapidly for a narrow range of numbers of causative alleles. If causative alleles are in relatively high frequency, then the combined effects of numerous causative loci are necessary to substantially elevate disease risk.

摘要

本文探讨了一个影响复杂遗传性疾病风险的非连锁双等位基因位点模型。这些位点对疾病风险的影响是等效的,并且处于哈迪-温伯格平衡和连锁平衡状态。目标是确定关于疾病风险对基因型依赖性的哪些假设与精神分裂症、双相情感障碍、自闭症和多发性硬化症等疾病的数据一致,这些疾病相对常见(患病率为0.1%-2%),同卵双胞胎的 concordance 率较高(30%-50%),且患病个体的一级亲属患病风险较高(风险比超过4)。这些观察结果与多种模型一致,包括广义加性模型、乘性模型和阈值模型,前提是对于狭窄范围的致病等位基因数量,疾病风险会迅速增加。如果致病等位基因频率相对较高,那么众多致病位点的联合作用对于大幅提高疾病风险是必要的。 (注:“concordance”在医学遗传学中常译为“一致性”“同病率”等,这里保留英文未翻译,因为不确定具体所指的专业含义,需结合更专业背景来准确翻译。)

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