Pietrzyk J J
Am J Med Genet. 1980;7(3):293-300. doi: 10.1002/ajmg.1320070307.
A sample of 223 families with at least one child with anencephaly and/or spina bifida was ascertained in Southern Poland, where the incidence of neural tube malformations is 0.92/1,000. The recurrence risk in proband's sibs was 3.4%. The calculated heritability (h2) was 76%, implying a substantial contribution of genetic factors to the cause of neural tube defects. Complex segregation analysis was applied in an attempt to discriminate between the hypothesis of a single locus and that of quasi-continuity under multifactorial inheritance. The results excluded the hypothesis of dominant inheritance with full penetrance. The hypothesis of the two-allele model (at a single locus) fit the data with the same degree of exactness; however, for all hypotheses the estimated penetrance was low, and the phenocopy frequency was high. Less accurate conformity was observed for the multifactorial hypothesis. In view of very low penetrance and high frequency of phenocopies in single locus hypotheses and the finding that empirical data gave better support to the multifactorial model, the differences in chi 2 values should not be viewed as sufficient to discriminate between single locus and multifactorial models. The recurrence risks, assessed in the complex segregation analysis, showed an increase together with the growing number (r) of affected children. For constant r the recurrence risks decreased in successive pregnancies. Although discrimination between the mendelian and multifactorial inheritance models was incomplete, the risk values obtained can be employed in genetic counseling.
在波兰南部确定了一个包含223个家庭的样本,这些家庭中至少有一个孩子患有无脑儿和/或脊柱裂,该地区神经管畸形的发病率为0.92/1000。先证者同胞的复发风险为3.4%。计算得出的遗传度(h2)为76%,这意味着遗传因素在神经管缺陷病因中起了很大作用。应用复杂分离分析来区分单基因座假说和多基因遗传下的准连续性假说。结果排除了完全显性遗传的假说。双等位基因模型(在单个基因座)假说与数据的拟合程度相同;然而,对于所有假说,估计的外显率都很低,拟表型频率很高。多基因假说的拟合度不太准确。鉴于单基因座假说中外显率极低且拟表型频率很高,以及实证数据对多基因模型提供了更好支持这一发现,卡方值的差异不应被视为足以区分单基因座模型和多基因模型。在复杂分离分析中评估的复发风险随着患病儿童数量(r)的增加而增加。对于固定的r,复发风险在连续妊娠中降低。尽管孟德尔遗传模型和多基因遗传模型之间的区分并不完全,但获得的风险值可用于遗传咨询。