Integrative analysis of transcriptome-wide association study and mRNA expression profiles identifies candidate genes associated with autism spectrum disorders

2018 ◽  
Vol 12 (1) ◽  
pp. 33-38 ◽  
Author(s):  
Huimei Huang ◽  
Shiqiang Cheng ◽  
Miao Ding ◽  
Yan Wen ◽  
Mei Ma ◽  
...  
Keyword(s):  
Autism Spectrum Disorders ◽  
Association Study ◽  
Mrna Expression ◽  
Candidate Genes ◽  
Expression Profiles ◽  
Autism Spectrum ◽  
Integrative Analysis ◽  
Spectrum Disorders

Gene and miRNA expression profiles in autism spectrum disorders

2011 ◽  
Vol 1380 ◽  
pp. 85-97 ◽  
Author(s):  
Mohammad M. Ghahramani Seno ◽  
Pingzhao Hu ◽  
Fuad G. Gwadry ◽  
Dalila Pinto ◽  
Christian R. Marshall ◽  
...  
Keyword(s):  
Autism Spectrum Disorders ◽  
Mirna Expression ◽  
Expression Profiles ◽  
Autism Spectrum ◽  
Mirna Expression Profiles ◽  
Spectrum Disorders

Association study of polymorphisms at A66G (rs1801394) of MTRR gene and autism spectrum disorders in a Kurdish population

Gene Reports ◽  
2020 ◽  
Vol 21 ◽  
pp. 100949
Author(s):  
Monika Henryka Miasko ◽  
Shukur Wasman Smail ◽  
Abdulkarim Yasin Karim ◽  
Mahdi Khaled Qadir ◽  
Ahmed Abdulrazzaq Bapir ◽  
...  
Keyword(s):  
Autism Spectrum Disorders ◽  
Association Study ◽  
Autism Spectrum ◽  
Spectrum Disorders

scholarly journals Analysis of the chromosome X exome in patients with autism spectrum disorders identified novel candidate genes, including TMLHE

2012 ◽  
Vol 2 (10) ◽  
pp. e179-e179 ◽  
Author(s):  
C Nava ◽  
F Lamari ◽  
D Héron ◽  
C Mignot ◽  
A Rastetter ◽  
...  
Keyword(s):  
Autism Spectrum Disorders ◽  
Candidate Genes ◽  
Autism Spectrum ◽  
Chromosome X ◽  
Spectrum Disorders

scholarly journals Network-Based Integrative Analysis of Genomics, Epigenomics and Transcriptomics in Autism Spectrum Disorders

2019 ◽  
Vol 20 (13) ◽  
pp. 3363 ◽  
Author(s):  
Noemi Di Nanni ◽  
Matteo Bersanelli ◽  
Francesca Anna Cupaioli ◽  
Luciano Milanesi ◽  
Alessandra Mezzelani ◽  
...  
Keyword(s):  
Autism Spectrum Disorders ◽  
Gene Networks ◽  
Meta Analysis ◽  
Data Interpretation ◽  
Molecular Data ◽  
Autism Spectrum ◽  
Integrative Analysis ◽  
Supporting Evidence ◽  
Number Of Genes ◽  
Spectrum Disorders

Current studies suggest that autism spectrum disorders (ASDs) may be caused by many genetic factors. In fact, collectively considering multiple studies aimed at characterizing the basic pathophysiology of ASDs, a large number of genes has been proposed. Addressing the problem of molecular data interpretation using gene networks helps to explain genetic heterogeneity in terms of shared pathways. Besides, the integrative analysis of multiple omics has emerged as an approach to provide a more comprehensive view of a disease. In this work, we carry out a network-based meta-analysis of the genes reported as associated with ASDs by studies that involved genomics, epigenomics, and transcriptomics. Collectively, our analysis provides a prioritization of the large number of genes proposed to be associated with ASDs, based on genes’ relevance within the intracellular circuits, the strength of the supporting evidence of association with ASDs, and the number of different molecular alterations affecting genes. We discuss the presence of the prioritized genes in the SFARI (Simons Foundation Autism Research Initiative) database and in gene networks associated with ASDs by other investigations. Lastly, we provide the full results of our analyses to encourage further studies on common targets amenable to therapy.

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