Genetic regulation of growth in height and weight from 3 to 12 years of age: A longitudinal study of Dutch twin children
Genetic regulation of growth in height and weight from 3 to 12 years of age: A longitudinal study of Dutch twin children
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DOI：
10.1375/twin.10.2.354
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发表时间：
2007-04-01
影响因子：
0.9
通讯作者：
Boomsma, Dorret I.
中科院分区：
文献类型：
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作者：
Silventoinen, Karri;Bartels, Meike;Boomsma, Dorret I.
人类的成长是一个复杂而又知之甚少的过程。我们研究了遗传和环境因素对身高和身体质量指数（BMI，kg/m2）的影响，这些因素基于荷兰双胞胎（7755对3岁时的完全双胞胎）中3、4、5、7、10和12岁时的母亲报告。使用Mx统计包将双胞胎的几个多元方差分量模型拟合到数据。第一个出生的双胞胎在10岁之前比第二个出生的双胞胎高，在12岁之前比第二个出生的双胞胎重。身高（a（2）= 0.58 - 0.91）和BMI（a（2）= 0.31 - 0.82）的遗传力估计值较高，但共同和非共同的环境因素也很重要。身高和BMI的各年龄表型相关性主要由相关的加性遗传因素（身高r（a）= 0.77 - 0.96，BMI r（a）= 0.43 - 0.92）解释，但常见的（r（c）= 0.40 - 0.84和0.09 - 0.78）和特定的环境相关性（r（e）= 0.50 - 0.81和0.42 - 0.80，）也很重要。身高和BMI的加性遗传因素随着年龄的增加而减少。然而，完整的Cholesky模型没有对潜在的遗传结构做出任何假设，具有最佳拟合。不同年龄段的高遗传相关性，特别是身高，可能有助于对人类生长的进一步分子遗传学研究。生长期影响身高和BMI的环境因素也很重要，需要进一步研究来确定这些因素，并测试它们是否与遗传因素相互作用。
Human growth is a complex and poorly understood process. We studied the effect of genetic and environmental factors on height and body mass index (BMI, kg/m(2)) based on maternal reports at 3, 4, 5, 7, 10 and 12 years of age in a large longitudinal cohort of Dutch twins (7755 complete twin pairs at age 3). Several multivariate variance component models for twins were fitted to the data using the Mx statistical package. The first-born twin was taller until age 10 and heavier until age 12 than the second-born co-twin. Heritability estimates were high for height (a(2) = .58-.91) and BMI (a(2) = .31-.82), but common and unshared environmental factors were also important. The phenotypic correlations across the ages for height and BMI were mainly explained by correlated additive genetic factors (r(a) = .77-.96 for height and .43-.92 for BMI), but common (r(c) = .40-.84 and .09-.78, respectively) and specific environmental correlations (r(e) =.50-.81 and .42-.80, respectively) were also significant. Additive genetic factors decreased with increasing age difference for both height and BMI. However, the full Cholesky model, which does not make any assumptions regarding the underlying genetic structure, had the best fit. High genetic correlations across the ages, especially for height, may help further molecular genetic studies of human growth. Environmental factors affecting height and BMI during growth period are also important, and further studies are needed to identify these factors and test whether they interact with genetic factors.