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Integrated network analysis reveals genotype-phenotype correlations in Williams syndrome

gse89594

Description

Williams Syndrome (WS) is a rare neurodevelopmental disorder caused by heterozygous deletions in a chromosome 7q11.23 region typically encompassing 26-28 genes. WS patients exhibit a wide spectrum of symptoms, including cardiovascular disease, intellectual disability, visuospatial deficits and hypersociability a behavioral profile that contrasts with autism spectrum disorder (ASD). However, the relationship between neuropsychiatric phenotypes and dysregulated gene networks caused by the 7q11.23 deletion is unknown. We report results from a large-scale integrated transcriptome analysis of peripheral blood in clinically evaluated subjects with WS, ASD and matched controls. We identified significantly differential expressed genes in WS as compared with ASD or controls, even after removing genes spanning the 7q11.23 region. Using weighted gene co-expression network analysis (WGCNA), we found that three co-expression modules were upregulated in WS, and were significantly associated with the intermediate phenotypes such as anxiety and attention problems. Notably, these three co-expression modules were only composed of genes located outside of 7q11.23 critical region. One module was associated with immune systems and B cell proliferation. Its top hub gene, BCL11A, is implicated in ASD and chromatin modification. Another module was enriched with genes associated with astrocytes and oligodendrocytes, and the third module was associated with RNA processing and neurons. MicroRNA (miRNA) profiling revealed differentially expressed miRNAs whose targets were enriched in each co-expression module associated with WS. These results identify genes and potential driver miRNAs, located outside of 7q11.23 critical region, that are novel candidates for mediating the neuropsychiatric phenotypes in WS.

Overall Design

We profiled gene expression from 32 WS patients, 32 ASD patients and 30 controls using peripheral blood.

Histogram

Data and Resources

Raw Files [94]

Additional Info

Field Value
Source https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE89594
Type of Data

Expression profiling by array

Technology

Microarray

GSE Submission Date 07/11/2016
GSE Authors Ryo,,Kimura; Masatoshi Hagiwara
Pubmed ID 30362171
Dataset Last Updated December 1, 2020, 19:21 (UTC)
Dataset Created December 1, 2020, 17:09 (UTC)