Lord D, O'Farrell A G, Staunton H, Keelan E
Maynooth College, Co. Kildare, Ireland.
Ir J Med Sci. 1990 Jan;159 Suppl 8:1-20. doi: 10.1007/BF02938002.
The object of this study was to determine, if possible, the mode of inheritance of the susceptibility to multiple sclerosis (MS). It was known that no single-gene model could fit the observations, so oligogenic models (models involving a small number of genes) were sought. Oligogenic hypotheses were tested against the available population data for MS until a reasonable level of agreement was found. The best-fitting simple hypothesis was this: MS occurs only in people who are homozygous for a recessive gene and carry a dominant X gene, and then only with reduced penetrance. The dangerous allele m- at the autosomal locus appears to be fairly uniformly distributed across England, Ireland and Canada, occurring in 10-30% of the gene pool. There are large variations in the frequency of the allele s- at the X-locus, ranging from 10% up to 72% of the gene pool. The penetrance varies significantly with geographical location, but nowhere approaches unity, so that the environmental factors are of great importance. The hypothesis explains the broad features of the population pattern of the occurrence of MS and it gives an outstanding fit to the best available data on MS in relatives. The result may assist attempts to map the genetic data on MS, opens the way for a reassessment of the attempts to identify the environmental factors, and it makes possible the completion of nonempirical risk tables for various countries. Similar techniques may be applied to other disorders with a genetic component in their aetiology.
本研究的目的是尽可能确定多发性硬化症(MS)易感性的遗传模式。已知单基因模型无法拟合观察结果,因此寻求多基因模型(涉及少数基因的模型)。针对MS的现有群体数据对多基因假说进行检验,直至找到合理程度的一致性。最合适的简单假说是:MS仅发生在隐性基因纯合且携带显性X基因的人群中,且仅在较低的外显率情况下发生。常染色体位点上的危险等位基因m - 在英格兰、爱尔兰和加拿大的分布似乎相当均匀,在基因库中的出现频率为10% - 30%。X位点上等位基因s - 的频率存在很大差异,在基因库中的范围从10%到72%。外显率随地理位置显著变化,但在任何地方都未接近完全外显,因此环境因素非常重要。该假说解释了MS发病群体模式的广泛特征,并且与亲属中MS的最佳可用数据非常吻合。该结果可能有助于绘制MS的遗传数据图谱,为重新评估识别环境因素的尝试开辟道路,并使完成各国的非经验性风险表成为可能。类似的技术可应用于病因中具有遗传成分的其他疾病。