Sankaranarayanan K
MGC, Department of Radiation Genetics and Chemical Mutagenesis Sylvius Laboratories, Leiden University Medical Centre, Netherlands.
Mutat Res. 1998 Sep;411(2):129-78. doi: 10.1016/s1383-5742(98)00012-x.
This paper is focused on baseline frequencies of mendelian diseases and the conceptual basis for calculating doubling doses both of which are relevant for the doubling dose method of estimating genetic risks of exposure of human populations to ionizing radiation. With this method, the risk per unit dose is obtained as a product of three quantities, namely, the baseline frequency of the disease class under consideration, the relative mutation risk (which is the reciprocal of the doubling dose, which in turn, is calculated as a ratio of spontaneous and induction rates of mutations) and mutation component, i.e., the responsiveness of the disease class to an increase in mutation rate. The estimates of baseline frequencies of mendelian diseases that are currently used in risk estimation date back to the late 1970s. Advances in human genetics during the past two decades now permit an upward revision of these estimates. The revised estimates are 150 per 10(4) livebirths for autosomal dominants (from the earlier estimate of 95 per 10(4)), 75 per 10(4) livebirths for autosomal recessives (from 25 per 10(4)) and to 15 per 10(4) livebirths for X-linked diseases (from 5 per 10(4)). The revised total frequency of mendelian diseases is thus 240 per 10(4) livebirths and is about twice the earlier figure of 125 per 10(4) livebirths. All these estimates, however, pertain primarily to Western European and Western European-derived populations. The fact that in several population isolates or ethnic groups, some of these diseases (especially the autosomal recessives) are more common as a result of founder effects and/or genetic drift is well known and many more recent examples have come to light. These data are reviewed and illustrated with data from studies of the Ashkenazi Jewish, Finnish, French Canadian, Afrikaner and some other populations to highlight the need for caution in extrapolating radiation risks between populations. The doubling dose of 1 Gy that has been used for the past 20 years for risk estimation is based on mouse data for both spontaneous and induction rates of mutations. In extrapolating the mouse-data-based doubling dose to humans, it is assumed that the spontaneous rates in mice and humans are similar. This assumption is incorrect because of the fact that in humans, for several well-studied mendelian diseases, the mutation rate differs between the two sexes and it increases with paternal age. In estimates of spontaneous mutation rates in humans (which represent averages over both sexes), however, paternal age effects are automatically incorporated. In the mouse, these effects are expected to be much less (if they exist at all), but the problem has not been specifically addressed. The complexities and uncertainties associated with assessing the potential impact of spontaneous mutations which arise as germinal mosaics (and which can result in clusters of mutations in the following generation) on mutation rate estimates (in the mouse) and on mutation rate estimates and disease frequencies (in humans) are discussed. In view of (i) the lack of comparability of spontaneous mutation rates in mice and humans and (ii) the fact that these estimates for human genes already include both paternal age effects and correction for clusters (if they had occurred), it is suggested that a prudent procedure now is to base doubling dose calculations on spontaneous mutation rates of human genes (and induction rates of mouse genes, in the absence of a better alternative). This concept, however, is not new and was used by the US National Academy's Committee on the Biological Effects of Ionizing Radiation in its 1972 report.
本文关注的是孟德尔疾病的基线频率以及计算加倍剂量的概念基础,这两者都与估算人类群体暴露于电离辐射的遗传风险的加倍剂量法相关。采用这种方法,单位剂量风险是三个量的乘积,即所考虑疾病类别的基线频率、相对突变风险(它是加倍剂量的倒数,而加倍剂量又是通过突变的自发率和诱导率之比计算得出)以及突变组分,即疾病类别对突变率增加的反应性。目前用于风险评估的孟德尔疾病基线频率估计可追溯到20世纪70年代末。过去二十年人类遗传学的进展使得这些估计得以向上修正。修正后的估计值为:常染色体显性疾病每10⁴例活产中有150例(之前的估计为每10⁴例中有95例),常染色体隐性疾病每10⁴例活产中有75例(之前为每10⁴例中有25例),X连锁疾病每10⁴例活产中有15例(之前为每10⁴例中有5例)。因此,孟德尔疾病的修正后总频率为每10⁴例活产中有240例,约为之前每10⁴例活产中有125例这一数字的两倍。然而,所有这些估计主要适用于西欧及源自西欧的人群。在一些人群隔离群体或种族群体中,由于奠基者效应和/或遗传漂变,其中一些疾病(尤其是常染色体隐性疾病)更为常见,这一事实是众所周知的,并且有更多近期的例子被发现。本文回顾了这些数据,并用来自德系犹太人、芬兰人、法裔加拿大人、南非白人及其他一些人群的研究数据进行说明,以强调在不同人群间推断辐射风险时需谨慎。过去20年用于风险评估的1 Gy加倍剂量是基于小鼠的突变自发率和诱导率数据。在将基于小鼠数据得出的加倍剂量外推至人类时,假定小鼠和人类的自发率相似。这一假设是不正确的,因为对于几种经过充分研究的人类孟德尔疾病,突变率在两性之间存在差异,并且会随着父亲年龄的增加而升高。然而,在人类自发突变率的估计中(代表两性的平均值),父亲年龄效应会自动被纳入。在小鼠中,这些效应预计要小得多(如果确实存在的话),但这个问题尚未得到专门解决。本文讨论了评估作为生殖细胞镶嵌体出现的自发突变(可能导致下一代出现突变簇)对突变率估计(在小鼠中)以及对突变率估计和疾病频率(在人类中)的潜在影响所涉及的复杂性和不确定性。鉴于(i)小鼠和人类自发突变率缺乏可比性,以及(ii)人类基因的这些估计已经包括了父亲年龄效应和对簇集的校正(如果发生过的话),建议现在谨慎的做法是基于人类基因的自发突变率(以及在没有更好替代方法的情况下,小鼠基因的诱导率)来进行加倍剂量计算。然而,这个概念并不新鲜,美国国家科学院电离辐射生物效应委员会在其1972年的报告中就已使用。