Genetic and environmental influences on neuroimaging phenotypes: a meta-analytical perspective on twin imaging studies.
Genetic and environmental influences on neuroimaging phenotypes: a meta-analytical perspective on twin imaging studies.
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DOI：
10.1017/thg.2012.11
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发表时间：
2012-06
影响因子：
0.9
通讯作者：
Wright, Margaret J.
中科院分区：
文献类型：
--
作者：
Blokland, Gabriella A. M.;de Zubicaray, Greig I.;McMahon, Katie L.;Wright, Margaret J.
因为大脑结构和功能在神经和精神疾病中受到影响，所以弄清这些表型变异的来源是很重要的。在过去的15年里，双胞胎研究已经发现了遗传和环境对神经成像表型影响的证据，但研究之间的巨大差异使得很难得出这些影响的相对程度的明确结论。本研究首次荟萃分析了48项研究中1,250对双胞胎的结构MRI数据，以及10项研究中444对双胞胎的弥散张量成像数据。基因(A)、共享环境(C)和非共享环境(E)占总方差的比例，是通过对独立双胞胎队列研究中的A、C和E估计进行平均并按样本量加权来计算的。结果表明，除了胼胝体脾的分数各向异性（FA）和胼胝体、左侧海马旁回和脑岛的皮质厚度（CT）外，所有meta分析表型的加性遗传估计值都与零显著不同。对于许多表型，c也有显著的影响。除了全球量外，我们现在对许多区域和局部CT测量的遗传力有了很好的估计。对于许多其他表型，置信区间很宽，个体数量很少。综上所述，虽然我们的荟萃分析显示成像测量受到基因的强烈影响，并且新的表型（如CT测量、FA测量和脑激活测量）看起来特别有希望，但在独立样本和人口统计学群体中进行复制是必要的。
Because brain structure and function are affected in neurological and psychiatric disorders, it is important to disentangle the sources of variation in these phenotypes. Over the past 15 years, twin studies have found evidence for both genetic and environmental influences on neuroimaging phenotypes, but considerable variation across studies makes it difficult to draw clear conclusions about the relative magnitude of these influences. Here we performed the first meta-analysis of structural MRI data from 48 studies on >1,250 twin pairs, and diffusion tensor imaging data from 10 studies on 444 twin pairs. The proportion of total variance accounted for by genes (A), shared environment (C), and unshared environment (E), was calculated by averaging A, C, and E estimates across studies from independent twin cohorts and weighting by sample size. The results indicated that additive genetic estimates were significantly different from zero for all meta-analyzed phenotypes, with the exception of fractional anisotropy (FA) of the callosal splenium, and cortical thickness (CT) of the uncus, left parahippocampal gyrus, and insula. For many phenotypes there was also a significant influence of C. We now have good estimates of heritability for many regional and lobar CT measures, in addition to the global volumes. Confidence intervals are wide and number of individuals small for many of the other phenotypes. In conclusion, while our meta-analysis shows that imaging measures are strongly influenced by genes, and that novel phenotypes such as CT measures, FA measures, and brain activation measures look especially promising, replication across independent samples and demographic groups is necessary.
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影响因子：
5.7
作者：
Chiang MC;McMahon KL;de Zubicaray GI;Martin NG;Hickie I;Toga AW;Wright MJ;Thompson PM
通讯作者：
Thompson PM
影响因子：
10.6
作者：
Brun, Caroline C.;Lepore, Natasha;Thompson, Paul M.
通讯作者：
Thompson, Paul M.
影响因子：
5.7
作者：
Chou YY;Leporé N;Chiang MC;Avedissian C;Barysheva M;McMahon KL;de Zubicaray GI;Meredith M;Wright MJ;Toga AW;Thompson PM
通讯作者：
Thompson PM
影响因子：
5.7
作者：
Brouwer, Rachel M.;Mandl, Rene C. W.;Pol, Hilleke E. Hulshoff
通讯作者：
Pol, Hilleke E. Hulshoff
DOI：
10.1523/jneurosci.4184-08.2009
发表时间：
2009-02-18
期刊：
The Journal of neuroscience : the official journal of the Society for Neuroscience
影响因子：
--
作者：
Chiang MC;Barysheva M;Shattuck DW;Lee AD;Madsen SK;Avedissian C;Klunder AD;Toga AW;McMahon KL;de Zubicaray GI;Wright MJ;Srivastava A;Balov N;Thompson PM
通讯作者：
Thompson PM