Resolving the effects of maternal and offspring genotype on dyadic outcomes in genome wide complex trait analysis ("M-GCTA").
Resolving the effects of maternal and offspring genotype on dyadic outcomes in genome wide complex trait analysis ("M-GCTA").
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DOI：
10.1007/s10519-014-9666-6
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发表时间：
2014-09
影响因子：
2.6
通讯作者：
Evans, David M.
中科院分区：
文献类型：
--
作者：
Eaves, Lindon J.;St Pourcain, Beate;Smith, George Davey;York, Timothy P.;Evans, David M.
关键词：
全基因组复杂性状分析（GCTA）扩展到包括母体基因型对后代表型的环境影响（“母体效应”，M-GCTA）。该模型包括后代基因型的直接效应、母体效应以及直接效应和母体效应之间的协方差的参数。在OpenMx中进行的模拟数据分析证实，模型参数可以通过全信息最大似然法（FIML）恢复，并评估了忽略间接遗传效应时传统GCTA中出现的偏倚。从OpenMx中的FIML得出的估计值与使用已发布的GCTA算法通过限制最大似然法获得的估计值非常接近。该方法也适用于说明围产期表型从104000母亲-子女对雅芳纵向研究的父母和孩子。扩展的GCTA的相对优点相比，定量遗传方法的基础上分析表型协方差结构的亲属关系被认为是。
Genome wide complex trait analysis (GCTA) is extended to include environmental effects of the maternal genotype on offspring phenotype (“maternal effects”, M-GCTA). The model includes parameters for the direct effects of the offspring genotype, maternal effects and the covariance between direct and maternal effects. Analysis of simulated data, conducted in OpenMx, confirmed that model parameters could be recovered by full information maximum likelihood (FIML) and evaluated the biases that arise in conventional GCTA when indirect genetic effects are ignored. Estimates derived from FIML in OpenMx showed very close agreement to those obtained by restricted maximum likelihood using the published algorithm for GCTA. The method was also applied to illustrative perinatal phenotypes from ∼4,000 mother-offspring pairs from the Avon Longitudinal Study of Parents and Children. The relative merits of extended GCTA in contrast to quantitative genetic approaches based on analyzing the phenotypic covariance structure of kinships are considered.
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影响因子：
4.1
作者：
MEYER, K
通讯作者：
MEYER, K
影响因子：
3
作者：
Boker S;Neale M;Maes H;Wilde M;Spiegel M;Brick T;Spies J;Estabrook R;Kenny S;Bates T;Mehta P;Fox J
通讯作者：
Fox J
影响因子：
3.8
作者：
HALEY, CS;JINKS, JL;LAST, K
通讯作者：
LAST, K
影响因子：
30.8
作者：
通讯作者：
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DOI：
10.1375/twin.12.4.333
发表时间：
2009-08
期刊：
Twin research and human genetics : the official journal of the International Society for Twin Studies
影响因子：
--
作者：
York TP;Strauss JF 3rd;Neale MC;Eaves LJ
通讯作者：
Eaves LJ