Multi-site genetic analysis of diffusion images and voxelwise heritability analysis: a pilot project of the ENIGMA-DTI working group.
Multi-site genetic analysis of diffusion images and voxelwise heritability analysis: a pilot project of the ENIGMA-DTI working group.
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DOI：
10.1016/j.neuroimage.2013.04.061
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发表时间：
2013-11-01
期刊：
影响因子：
5.7
通讯作者：
Glahn, David C.
中科院分区：
文献类型：
--
作者：
Jahanshad, Neda;Kochunov, Peter V.;Sprooten, Emma;Mandl, Rene C.;Nichols, Thomas E.;Almasy, Laura;Blangero, John;Brouwer, Rachel M.;Curran, Joanne E.;de Zubicaray, Greig I.;Duggirala, Ravi;Fox, Peter T.;Hong, L. Elliot;Landman, Bennett A.;Martin, Nicholas G.;McMahon, Katie L.;Medland, Sarah E.;Mitchell, Braxton D.;Olvera, Rene L.;Peterson, Charles P.;Starr, John M.;Sussmann, Jessika E.;Toga, Arthur W.;Wardlaw, Joanna M.;Wright, Margaret J.;Pol, Hilleke E. Hulshoff;Bastin, Mark E.;McIntosh, Andrew M.;Deary, Ian J.;Thompson, Paul M.;Glahn, David C.
ENIGMA（Enhancing NeuroImaging Genetics through Meta-Analysis）联盟旨在分析来自世界各地多个地点的大脑测量和基因型，以提高检测影响大脑的遗传变异的能力。扩散张量成像（DTI）产生对大脑发育和退化敏感的定量测量，一些常见的遗传变异可能与白色物质的完整性或连通性有关。DTI测量，如水扩散的各向异性分数（FA），可能有助于识别影响大脑微观结构的遗传变异。然而，全基因组关联研究（GWAS）需要大量的人群来获得足够的力量来检测和复制显着的效果，从而激发了多位点联盟的努力。作为ENIGMA-DTI工作组的一部分，我们分析了来自北美，澳大利亚和欧洲多个成像站点的高分辨率FA图像，以解决协调多个站点收集的成像数据的挑战。使用来自四个站点的400个年龄在18-85岁的健康成年人的图像来创建模板和相应的归一化FA图像作为公共参考空间。使用不同种族的双胞胎和家系样本，我们使用我们的共同模板来评估遗传力的道衍生FA措施。我们表明，我们的模板是可靠的整合多个数据集，通过荟萃分析结合结果和统一的数据，通过探索性的大分析。我们的研究结果可能有助于优先考虑FA图谱中始终受添加剂遗传因素影响的区域，以用于未来的遗传发现研究。协议和模板可在以下网址公开获取：http：//enigma.loni.ucla.edu/ongoing/dti-working-group/。
The ENIGMA (Enhancing NeuroImaging Genetics through Meta-Analysis) Consortium was set up to analyze brain measures and genotypes from multiple sites across the world to improve the power to detect genetic variants that influence the brain. Diffusion tensor imaging (DTI) yields quantitative measures sensitive to brain development and degeneration, and some common genetic variants may be associated with white matter integrity or connectivity. DTI measures, such as the fractional anisotropy (FA) of water diffusion, may be useful for identifying genetic variants that influence brain microstructure. However, genome-wide association studies (GWAS) require large populations to obtain sufficient power to detect and replicate significant effects, motivating a multi-site consortium effort. As part of an ENIGMA–DTI working group, we analyzed high-resolution FA images from multiple imaging sites across North America, Australia, and Europe, to address the challenge of harmonizing imaging data collected at multiple sites. Four hundred images of healthy adults aged 18–85 from four sites were used to create a template and corresponding skeletonized FA image as a common reference space. Using twin and pedigree samples of different ethnicities, we used our common template to evaluate the heritability of tract-derived FA measures. We show that our template is reliable for integrating multiple datasets by combining results through meta-analysis and unifying the data through exploratory mega-analyses. Our results may help prioritize regions of the FA map that are consistently influenced by additive genetic factors for future genetic discovery studies. Protocols and templates are publicly available at (http://enigma.loni.ucla.edu/ongoing/dti-working-group/).
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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：
4.1
作者：
Deary IJ;Gow AJ;Taylor MD;Corley J;Brett C;Wilson V;Campbell H;Whalley LJ;Visscher PM;Porteous DJ;Starr JM
通讯作者：
Starr JM
影响因子：
0.9
作者：
Gatt, Justine M.;Korgaonkar, Mayuresh S.;Williams, Leanne M.
通讯作者：
Williams, Leanne M.
影响因子：
3.7
作者：
Dinov, Ivo;Lozev, Kamen;Toga, Arthur
通讯作者：
Toga, Arthur
DOI：
10.1523/jneurosci.5993-11.2012
发表时间：
2012-06-20
期刊：
The Journal of neuroscience : the official journal of the Society for Neuroscience
影响因子：
--
作者：
Chiang MC;Barysheva M;McMahon KL;de Zubicaray GI;Johnson K;Montgomery GW;Martin NG;Toga AW;Wright MJ;Shapshak P;Thompson PM
通讯作者：
Thompson PM