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双生子家庭月经初潮年龄方差成分的估计

Estimation of variance components for age at menarche in twin families.

作者信息

Anderson Carl A, Duffy David L, Martin Nicholas G, Visscher Peter M

机构信息

Genetic Epidemiology Group, Queensland Institute of Medical Research, Brisbane 4029, Australia.

出版信息

Behav Genet. 2007 Sep;37(5):668-77. doi: 10.1007/s10519-007-9163-2. Epub 2007 Aug 7.

DOI:10.1007/s10519-007-9163-2
PMID:17680356
Abstract

Age at menarche (AAM), time of first menstrual period, is an important developmental milestone in females. Follow-up data from 1,302 adolescent twins and their sisters were used to partition the normal variation in AAM. The proportion of censoring was 14.1%. Both a standard and a survival analysis method were used. The best fitting model from the survival analysis method was an ACE model, where 57% and 23% of the variance in AAM was explained by additive genetic and environmental effects, respectively. The best fitting model when using a standard variance decomposition method was an AE model, where 82% of the variance was explained by additive genetic effects. The lack of correspondence between the results of the two methods was an artefact of the different ascertainment of AAM reports from siblings and twins. After the removal of the sibling sample, both methods indicated that an ACE model was the most likely. Standard and survival analysis methods estimated the proportion of variance explained by additive effects to be 0.50 and 0.54, and common environmental effects to be 0.31 and 0.29, respectively. We conclude that variation in AAM can be explained by additive genetic and common environmental components.

摘要

初潮年龄(AAM),即首次月经来潮的时间,是女性重要的发育里程碑。来自1302对青少年双胞胎及其姐妹的随访数据被用于划分AAM的正常变异。删失比例为14.1%。使用了标准分析方法和生存分析方法。生存分析方法中拟合度最佳的模型是ACE模型,其中AAM变异的57%和23%分别由加性遗传效应和环境效应解释。使用标准方差分解方法时拟合度最佳的模型是AE模型,其中82%的变异由加性遗传效应解释。两种方法结果缺乏一致性是由于对兄弟姐妹和双胞胎的AAM报告采用了不同的确定方式。去除兄弟姐妹样本后,两种方法均表明ACE模型最有可能。标准分析方法和生存分析方法估计加性效应解释的变异比例分别为0.50和0.54,共同环境效应解释的变异比例分别为0.31和0.29。我们得出结论,AAM的变异可由加性遗传成分和共同环境成分解释。

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