Optimal Function Prediction of Key Aberrant Genes in Early-onset Preeclampsia Using a Modified Network-based Guilt by Association Method.

Jing Wang, Yanping Bi, Junxia Li, Yanfang Tian, Xue Yang, Zhongfang Sun

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Article in Iranian journal of public health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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6 authors.

Jing WangDept. of Obstetrics, Seventh People's Hospital of Jinan, Jiyang, Shandong, China.

Yanping BiDept. of Obstetrics, Seventh People's Hospital of Jinan, Jiyang, Shandong, China.

Junxia LiDept. of Obstetrics, Seventh People's Hospital of Jinan, Jiyang, Shandong, China.

Yanfang TianDept. of Obstetrics, Seventh People's Hospital of Jinan, Jiyang, Shandong, China.

Xue YangDept. General Surgery, Seventh People's Hospital of Jinan, Jiyang, Shandong, China.

Zhongfang SunDept. of Obstetrics, Seventh People's Hospital of Jinan, Jiyang, Shandong, China.

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No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo predict the optimal functions of key aberrant genes in early-onset preeclampsia (EOPE) by using a modified network-based gene function inference method.

methodsFirst, differentially expressed genes (DEGs) were extracted using linear models for microarray data (LIMMA) package. Then the Spearman's rank correlation coefficient was calculated to assess co-expressed strength of each interaction between DEGs, based on which the co-expressed genes network was constructed to vividly exhibit their interlinking relationship. Subsequently, Gene ontology (GO) annotations for EOPE were collected according to known confirmed database and DEGs. Ultimately, the multifunctionality algorithm was used to extend the "guilt by association" method based on the co-expressed network, and a 3-fold cross validation was operated to evaluate the accuracy of the algorithm.

resultsDuring the process, the GO terms, of which the area under the curve (AUC) over 0.7 were screened as the optimal gene functions for EOPE. Six functions including the ion binding and cellular response to stimulus were determined as the optimal gene functions.

conclusionSuch findings should help to better understand the pathogenesis of EOPE, so as to provide some references for clinical diagnosis and treatment in the future.

Indexed as

Co-expressed genes networkEarly-onset preeclampsiaMultifunctionality algorithmOptional function

Identifiers

PMID30581785

PMCPMC6294846

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