Division of Biology, Office of Science and Engineering Laboratories, Center for Devices and Radiological Health, Food and Drug Administration, Silver Spring, Maryland, USA.
Environ Mol Mutagen. 2011 May;52(4):253-63. doi: 10.1002/em.20637. Epub 2011 Jan 6.
The challenge of estimating human health effects from damage to the germ line may be met in the genomic era. Understanding the genetic, as opposed to postconception developmental basis of birth defects is critical to their use in monitoring heritable genetic damage. The causes of common birth defects are analyzed here: mendelian genetic, multigenic, developmental, inherited, or combinational. Only a small fraction of these (noninherited, mendelian genetic) are likely to be informative relative to germ cell mutagenesis, and these won't be discernible against the general background of birth defects. Targeted genetic testing as part of personalized medicine could be integrated into a strategy for assessing germ cell alterations in populations. Thus, "sentinel mutations," as originally proposed by Mulvihill and Ceizel, need not be restricted to X-linked or dominant mutations or conditions visible at birth. Several new sentinels related to personalized medicine are proposed, based on health impact (likelihood of monitoring), frequency, and genetic target suitability (responsiveness to diverse mutational mechanisms). Candidates could include CYP genes (related to metabolism of xenobiotics) important in optimizing drug doses and avoiding adverse reactions. High frequency LDLR mutations (related to familial high cholesterol) predict myocardial infarction in approximately50% of individuals. The more common recessive genetic diseases (cystic fibrosis, phenylketonuria, and others) monitored in newborn screening programs could be informative given parental analysis. New opportunities for genetic analyses need to be coupled with epidemiological studies on environmental exposures. These could focus on adverse outcomes related to tobacco, the mostubiquitous and potent environmental mutagen.
在基因组时代,评估人类健康受生殖细胞损伤的影响可能面临挑战。了解出生缺陷的遗传基础(相对于受孕后发育基础)对于监测可遗传遗传损伤至关重要。本文分析了常见出生缺陷的原因:孟德尔遗传、多基因、发育、遗传或组合。这些原因中只有一小部分(非遗传、孟德尔遗传)可能与生殖细胞诱变有关,而且在出生缺陷的普遍背景下是无法识别的。作为个性化医学的一部分,靶向基因检测可以整合到评估人群生殖细胞改变的策略中。因此,正如 Mulvihill 和 Ceizel 最初提出的那样,“哨兵突变”不必仅限于 X 连锁或显性突变或出生时可见的条件。基于健康影响(监测可能性)、频率和遗传靶标适宜性(对多种突变机制的反应性),提出了几个与个性化医学相关的新哨兵。候选者包括 CYP 基因(与外源性化学物质代谢有关),对优化药物剂量和避免不良反应很重要。高频 LDLR 突变(与家族性高胆固醇有关)可预测约 50%个体的心肌梗死。在新生儿筛查计划中监测到的更常见的隐性遗传疾病(囊性纤维化、苯丙酮尿症等),如果对父母进行分析,可能会有信息。需要将新的遗传分析机会与环境暴露的流行病学研究相结合。这些研究可以集中在与烟草相关的不良后果上,烟草是最普遍和最有效的环境诱变剂。