Comparison of heritability estimates on resting state fMRI connectivity phenotypes using the ENIGMA analysis pipeline.
Comparison of heritability estimates on resting state fMRI connectivity phenotypes using the ENIGMA analysis pipeline.
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DOI：
10.1002/hbm.24331
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发表时间：
2018-12
影响因子：
4.8
通讯作者：
Kochunov P
中科院分区：
文献类型：
--
作者：
Adhikari BM;Jahanshad N;Shukla D;Glahn DC;Blangero J;Fox PT;Reynolds RC;Cox RW;Fieremans E;Veraart J;Novikov DS;Nichols TE;Hong LE;Thompson PM;Kochunov P
我们通过元分析增强神经成像遗传学(Enigma)rsfMRI分析管道在两个队列中测量并比较了功能性大脑连接测量的遗传度估计：GOBS(脑结构遗传学)队列和HCP(人类连接组项目)队列。这两个队列使用常规(GOBS)和高级(HCP)rsfMRI方案进行评估，提供了协调rsfMRI表型的测试案例，并确定了显示一致遗传性的措施，以进行深入的基因组范围分析。山羊群包括334名墨西哥裔美国人(124m/210f，平均年龄47.9±13.2岁)，来自29个家系(平均9人，范围5~32人)。采用7.5min采集序列(空间分辨率=1.72×1.72×3mm3)采集GOBS rsfMRI数据。HCP队列由518例双生子及其家庭成员组成(240m/278f，平均年龄28.7±3.7岁)。RsfMRI数据采集采用28.8min序列(空间分辨率=2×2×2 mm~3)。我们使用单通道谜rsfMRI预处理管道来估计来自八个主要功能网络的测量的遗传力值，使用(1)基于种子的连通性和(2)双重回归方法。我们观察到来自两个队列的七个网络的功能性连接的显著遗传率(h2=0.2-0.4，p<；0.05)，两个队列的遗传率估计之间存在显著的正相关。静息状态连通性测量的遗传力估计的相似性表明，加性遗传对功能连通性的贡献可以在不同的人群和成像采集参数中稳健地检测到。主要的遗传影响，以及持续检测它的手段，为未来的基因发现研究提供了一个定义共同基因搜索空间的机会。
We measured and compared heritability estimates for measures of functional brain connectivity extracted using the Enhancing Neuroimaging Genetics through Meta-Analysis (ENIGMA) rsfMRI analysis pipeline in two cohorts: the GOBS (Genetics of Brain Structure) cohort and the HCP (the Human Connectome Project) cohort. These two cohorts were assessed using conventional (GOBS) and advanced (HCP) rsfMRI protocols, offering a test case for harmonization of rsfMRI phenotypes, and to determine measures that show consistent heritability for in-depth genome-wide analysis. The GOBS cohort consisted of 334 Mexican-American individuals (124M/210F, average age=47.9±13.2 years) from 29 extended pedigrees (average family size=9 people; range 5–32). The GOBS rsfMRI data was collected using a 7.5-minute acquisition sequence (spatial resolution=1.72×1.72×3 mm3). The HCP cohort consisted of 518 twins and family members (240M/278F; average age=28.7± 3.7 years). rsfMRI data was collected using 28.8-minute sequence (spatial resolution=2×2×2 mm3). We used the single-modality ENIGMA rsfMRI preprocessing pipeline to estimate heritability values for measures from eight major functional networks, using (1) seed-based connectivity and (2) dual regression approaches. We observed significant heritability (h2=0.2–0.4, p<0.05) for functional connections from seven networks across both cohorts, with a significant positive correlation between heritability estimates across two cohorts. The similarity in heritability estimates for resting state connectivity measurements suggests that the additive genetic contribution to functional connectivity is robustly detectable across populations and imaging acquisition parameters. The overarching genetic influence, and means to consistently detect it, provides an opportunity to define a common genetic search space for future gene discovery studies.
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影响因子：
3.7
作者：
Mitra A;Snyder AZ;Tagliazucchi E;Laufs H;Elison J;Emerson RW;Shen MD;Wolff JJ;Botteron KN;Dager S;Estes AM;Evans A;Gerig G;Hazlett HC;Paterson SJ;Schultz RT;Styner MA;Zwaigenbaum L;IBIS Network;Schlaggar BL;Piven J;Pruett JR Jr;Raichle M
通讯作者：
Raichle M
影响因子：
5.7
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.
通讯作者：
Glahn, David C.
影响因子：
4.8
作者：
Kochunov P;Dickie EW;Viviano JD;Turner J;Kingsley PB;Jahanshad N;Thompson PM;Ryan MC;Fieremans E;Novikov D;Veraart J;Hong EL;Malhotra AK;Buchanan RW;Chavez S;Voineskos AN
通讯作者：
Voineskos AN
DOI：
10.1073/pnas.0905267106
发表时间：
2009-08-04
影响因子：
11.1
作者：
Smith, Stephen M.;Fox, Peter T.;Beckmann, Christian F.
通讯作者：
Beckmann, Christian F.
影响因子：
5.5
作者：
Edens, Ellen L.;Glowinski, Anne L.;Bucholz, Kathleen K.
通讯作者：
Bucholz, Kathleen K.