Genetic imaging consortium for addiction medicine: From neuroimaging to genes.

Genetic imaging consortium for addiction medicine: From neuroimaging to genes.
复制标题

DOI:
10.1016/bs.pbr.2015.07.026
复制
发表时间:
2016
影响因子:
--
通讯作者:
Conrod P
Conrod P
中科院分区:
医学4区
文献类型:
--
作者:
Mackey S;Kan KJ;Chaarani B;Alia-Klein N;Batalla A;Brooks S;Cousijn J;Dagher A;de Ruiter M;Desrivieres S;Feldstein Ewing SW;Goldstein RZ;Goudriaan AE;Heitzeg MM;Hutchison K;Li CS;London ED;Lorenzetti V;Luijten M;Martin-Santos R;Morales AM;Paulus MP;Paus T;Pearlson G;Schluter R;Momenan R;Schmaal L;Schumann G;Sinha R;Sjoerds Z;Stein DJ;Stein EA;Solowij N;Tapert S;Uhlmann A;Veltman D;van Holst R;Walter H;Wright MJ;Yucel M;Yurgelun-Todd D;Hibar DP;Jahanshad N;Thompson PM;Glahn DC;Garavan H;Conrod P

文献摘要

被引文献

相似文献

由于典型的神经影像学研究的样本量缺乏足够的统计能力来探索未知的基因组与大脑表型的关联,近年来已经组织了几个国际遗传成像联盟,以汇集不同地点的数据。这些联盟的挑战和成就在这里被认为是利用这些资源来研究成瘾的目标。这篇综述的作者们在ENIGMA项目的框架内联合起来组成了一个成瘾工作组,ENIGMA项目是一种多位点遗传成像数据的元分析方法。总的来说,成瘾工作组拥有从10,000多名受试者中获得的神经成像和基因组数据。向第一轮分析提供数据的截止日期为2015年5月初。对这些数据进行的研究应该会显著影响我们对成瘾的遗传和神经生物学基础的理解。
Since the sample size of a typical neuroimaging study lacks sufficient statistical power to explore unknown genomic associations with brain phenotypes, several international genetic imaging consortia have been organized in recent years to pool data across sites. The challenges and achievements of these consortia are considered here with the goal of leveraging these resources to study addiction. The authors of this review have joined together to form an Addiction working group within the framework of the ENIGMA project, a meta-analytic approach to multisite genetic imaging data. Collectively, the Addiction working group possesses neuroimaging and genomic data obtained from over 10,000 subjects. The deadline for contributing data to the first round of analyses occurred at the beginning of May 2015. The studies performed on this data should significantly impact our understanding of the genetic and neurobiological basis of addiction.