Literature DB >> 30776002

Identification of Key Long Non-Coding RNAs in the Pathology of Alzheimer's Disease and their Functions Based on Genome-Wide Associations Study, Microarray, and RNA-seq Data.

Zhijie Han1,2, Weiwei Xue2, Lin Tao3, Feng Zhu1,2.   

Abstract

The pathogenesis of Alzheimer's disease (AD) is identified to be significantly regulated by long non-coding RNA (lncRNA) based on in vivo and clinical experiments. Single nucleotide polymorphisms (SNPs) can strongly impact expression and function of lncRNA in AD, and previous genome-wide associations studies (GWAS) have discovered substantial amount of risk SNPs associated with AD. However, current studies omit the important information about SNPs when identifying potential AD-related lncRNAs. In addition to single discovery approach and small-scale samples in these studies, the number of lncRNAs discovered as keys in AD is limited. Here, multiple computational methods were integrated to discover novel and key lncRNA of the pathology of AD. First, large-scale GWAS data involved in three ethnicities were collected from two authoritative sources, and meta-analyses were conducted to find SNPs significantly associated with AD (tag SNPs). Second, these tag SNPs together with their linkage disequilibrium information were used to discover potential lncRNAs related to AD. Third, after validation by microarray probe re-annotation of 1,282 samples and RNA-seq data analysis of 117 samples, respectively, a total of five key lncRNAs of AD were identified. Finally, possible function of these lncRNAs was predicted by genome mapping, expression quantitative trait loci, differential co-expression, and gene set enrichment analysis. Based on function prediction, four of the five key lncRNAs were identified to affect the risk of AD by regulating corresponding pathogenic genes and pathways, which are involved in regulation of amyloid-β peptide and the immune system. In summary, these findings can facilitate the discovery of potential disease-related lncRNAs and enhance understanding of the pathogenesis of AD.

Entities:  

Keywords:  Alzheimer’s disease; differential co-expression; genome-wide association study; long non-coding RNA; microarray probe re-annotation

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Year:  2019        PMID: 30776002     DOI: 10.3233/JAD-181051

Source DB:  PubMed          Journal:  J Alzheimers Dis        ISSN: 1387-2877            Impact factor:   4.472


  7 in total

Review 1.  Blood-Based Biomarkers for Alzheimer's Disease Diagnosis and Progression: An Overview.

Authors:  Angelica Varesi; Adelaide Carrara; Vitor Gomes Pires; Valentina Floris; Elisa Pierella; Gabriele Savioli; Sakshi Prasad; Ciro Esposito; Giovanni Ricevuti; Salvatore Chirumbolo; Alessia Pascale
Journal:  Cells       Date:  2022-04-17       Impact factor: 7.666

2.  The lncRNA-DLEU2/miR-186-5p/PDK3 axis promotes the progress of glioma cells.

Authors:  Zuochang Xie; Xiaojian Li; Hua Chen; Ailiang Zeng; Yan Shi; Yong Tang
Journal:  Am J Transl Res       Date:  2019-08-15       Impact factor: 4.060

3.  Protein functional annotation of simultaneously improved stability, accuracy and false discovery rate achieved by a sequence-based deep learning.

Authors:  Jiajun Hong; Yongchao Luo; Yang Zhang; Junbiao Ying; Weiwei Xue; Tian Xie; Lin Tao; Feng Zhu
Journal:  Brief Bioinform       Date:  2020-07-15       Impact factor: 11.622

4.  Identification of the gene signature reflecting schizophrenia's etiology by constructing artificial intelligence-based method of enhanced reproducibility.

Authors:  Qing-Xia Yang; Yun-Xia Wang; Feng-Cheng Li; Song Zhang; Yong-Chao Luo; Yi Li; Jing Tang; Bo Li; Yu-Zong Chen; Wei-Wei Xue; Feng Zhu
Journal:  CNS Neurosci Ther       Date:  2019-07-27       Impact factor: 5.243

Review 5.  The Implications of ncRNAs in the Development of Human Diseases.

Authors:  Elena López-Jiménez; Eduardo Andrés-León
Journal:  Noncoding RNA       Date:  2021-02-24

6.  Assessing the Association Between Lead Pollution and Risk of Alzheimer's Disease by Integrating Multigenomics.

Authors:  Chunying Li; Yuwei Zhang; Jiandong Liang; Changyan Wu; Xiao Zou
Journal:  Front Neurosci       Date:  2022-07-22       Impact factor: 5.152

Review 7.  Missing lnc(RNAs) in Alzheimer's Disease?

Authors:  Rafaela Policarpo; Constantin d'Ydewalle
Journal:  Genes (Basel)       Date:  2021-12-23       Impact factor: 4.096

  7 in total

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