Testing the key assumption of heritability estimates based on genome-wide genetic relatedness.
Testing the key assumption of heritability estimates based on genome-wide genetic relatedness.
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DOI：
10.1038/jhg.2014.14
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发表时间：
2014-06
影响因子：
3.5
通讯作者：
中科院分区：
文献类型：
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比较不相关个体之间的遗传和表型相似性似乎是一种很有希望的量化性状遗传成分的方法，同时避免了困扰双胞胎和其他基于亲缘关系的遗传力估计的有问题的假设。一种方法是通过最大似然（GREML）模型对关联小于的个体进行遗传相关性估计。通过遗传相似性来预测其表型相似性。在这里，我们测试了该方法的关键基本假设：遗传相关性与环境相似性是正交的。利用健康与退休研究（以及其他两项调查）的数据，我们表明，如果两个不相关的人基因相似，他们更有可能在相似的环境中长大（城市与非城市环境）。这种影响不能通过控制人口结构来消除。然而，当我们在GREML模型中包含这种环境混淆时，遗传力不会发生实质性变化，因此大多数生物表型估计的潜在偏差可能很小。
Comparing genetic and phenotypic similarity among unrelated individuals seems a promising way to quantify the genetic component of traits while avoiding the problematic assumptions plaguing twin- and other kin-based estimates of heritability. One approach uses a Genetic Relatedness Estimation through Maximum Likelihood (GREML) model for individuals who are related at less than .025 to predict their phenotypic similarity by their genetic similarity. Here we test the key underlying assumption of this approach: that genetic relatedness is orthogonal to environmental similarity. Using data from the Health and Retirement Study (and two other surveys), we show two unrelated individuals may be more likely to have been reared in a similar environment (urban versus non-urban setting) if they are genetically similar. This effect is not eliminated by controls for population structure. However, when we include this environmental confound in GREML models, heritabilities do not change substantially and thus potential bias in estimates of most biological phenotypes is probably minimal.
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影响因子：
4.4
作者：
Priftis, Kostas N.;Anthracopoulos, Michael B.;Mantzouranis, Eva
通讯作者：
Mantzouranis, Eva
影响因子：
6.6
作者：
Krabbendam, L;van Os, J
通讯作者：
van Os, J
影响因子：
4.4
作者：
Stefanis, NC;Delespaul, P;van Os, J
通讯作者：
van Os, J
DOI：
10.1073/pnas.1120666109
发表时间：
2012-05-22
影响因子：
11.1
作者：
Benjamin, Daniel J.;Cesarini, David;Visscher, Peter M.
通讯作者：
Visscher, Peter M.
DOI：
10.1001/archpediatrics.2012.131
发表时间：
2012-06-01
影响因子：
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作者：
Belsky, Daniel W.;Moffitt, Terrie E.;Caspi, Avshalom
通讯作者：
Caspi, Avshalom