【摘要】：精神分裂癥是以思維、情感與行為的分裂為主要特征的一類復(fù)雜精神疾病,國(guó)內(nèi)外大量研究發(fā)現(xiàn)遺傳因素是該疾病發(fā)生的重要原因。為了能夠從大量影像學(xué)和遺傳學(xué)數(shù)據(jù)中找出精神分裂癥相關(guān)的生物標(biāo)記物,受稀疏表示的啟發(fā),提出一種基于稀疏表示的影像遺傳學(xué)數(shù)據(jù)整合分析方法,并應(yīng)用于對(duì)精神分裂癥相關(guān)生物標(biāo)記物的篩選。針對(duì)從208個(gè)樣本中提取到的41 236組f MRI和722 177組SNP數(shù)據(jù),通過(guò)對(duì)傳統(tǒng)稀疏表示模型施加廣義懲罰限制,然后對(duì)兩類數(shù)據(jù)施加不同的權(quán)重因子α1、α2,并且使用不同的Lp(p=0、0.5、1)范數(shù)對(duì)模型分別求解,研究不同條件下兩類數(shù)據(jù)的顯著關(guān)聯(lián)特征規(guī)律。結(jié)果發(fā)現(xiàn),基因DAOA和HTR2A在下列多重情況下均被篩選出:一是f MRI數(shù)據(jù)的權(quán)重α1取0.35~0.8之間多個(gè)不同權(quán)重時(shí),二是SNP數(shù)據(jù)的權(quán)重α2僅為0.2時(shí),三是在L0、L0.5、L1等3種不同范數(shù)下。此外,在影像學(xué)數(shù)據(jù)方面,發(fā)現(xiàn)頂下緣角回腦區(qū)也與精神分裂癥相關(guān),此發(fā)現(xiàn)與先前精神分裂癥的影像學(xué)研究結(jié)果一致。研究結(jié)果表明,將基于稀疏表示的影像遺傳學(xué)數(shù)據(jù)整合分析方法應(yīng)用于精神分裂癥的生物標(biāo)記物篩選是一個(gè)可行的方法,這為今后精神分裂癥的影像遺傳學(xué)研究提供了一種新的研究思路。
[Abstract]:Schizophrenia is a kind of complex mental disease characterized by the division of thinking, emotion and behavior. A large number of studies at home and abroad have found that genetic factors are the important cause of the disease. In order to find out the biomarkers related to schizophrenia from a large number of imaging and genetic data, and inspired by sparse representation, a method of image genetic data integration and analysis based on sparse representation is proposed. And applied to the screening of schizophrenia related biomarkers. For 41,236 sets of f MRI and 722,177 sets of SNP data extracted from 208 samples, a generalized penalty restriction is imposed on the traditional sparse representation model, and then different weighting factors 偽 1, 偽 2 are applied to the two types of data. Different Lp (p0. 0. 5) norm is used to solve the model respectively, and the significant correlation characteristics of the two kinds of data under different conditions are studied. The results showed that the gene DAOA and HTR2A were screened under the following multiple conditions: first, when the weight 偽 1 of f MRI data was between 0. 35 and 0. 8, the second was that the weight of SNP data was only 0. 2, and the third was in L0, L0. 5. L1 and other three different norms. In addition, in terms of imaging data, we found that the area of the inferior parietal angle gyrus is also associated with schizophrenia, which is consistent with the previous findings of the imaging study of schizophrenia. The results show that it is feasible to apply the image genetic data integration analysis method based on sparse representation to the screening of biomarkers in schizophrenia. This provides a new way to study the imaging genetics of schizophrenia in the future.
【作者單位】： 上海理工大學(xué)醫(yī)療器械與食品學(xué)院;
【基金】：國(guó)家自然科學(xué)基金(61101174) 上海理工大學(xué)微創(chuàng)基金項(xiàng)目(YS30809153)
【分類號(hào)】：R749.3

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