ArticleInternational journal of bipolar disorders2020
An integrative analysis of genome-wide association study and regulatory SNP annotation datasets identified candidate genes for bipolar disorder.
Article in International journal of bipolar disorders, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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3 citing papers in PubMed, 8 citations in OpenAlex.
- Subjective response to alcohol: Interactive effects of early life stress, parental risk for mood and substance use disorders, and drinking context.Pharmacology, biochemistry, and behavior · 2023Trial
- Codes between Poles: Linking Transcriptomic Insights into the Neurobiology of Bipolar Disorder.Biology · 2024Article
- Potentially causal associations between placental DNA methylation and schizophrenia and other neuropsychiatric disorders.medRxiv : the preprint server for health sciences · 2023Article
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11 authors at 1 institution in 1 country.
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Abstract
backgroundBipolar disorder (BD) is a complex mood disorder. The genetic mechanism of BD remains largely unknown.
methodsWe conducted an integrative analysis of genome-wide association study (GWAS) and regulatory SNP (rSNP) annotation datasets, including transcription factor binding regions (TFBRs), chromatin interactive regions (CIRs), mature microRNA regions (miRNAs), long non-coding RNA regions (lncRNAs), topologically associated domains (TADs) and circular RNAs (circRNAs). Firstly, GWAS dataset 1 of BD (including 20,352 cases and 31,358 controls) and GWAS dataset 2 of BD (including 7481 BD patients and 9250 controls) were integrated with rSNP annotation database to obtain BD associated SNP regulatory elements and SNP regulatory element-target gene (E-G) pairs, respectively. Secondly, a comparative analysis of the two datasets results was conducted to identify the common rSNPs and also their target genes. Then, gene sets enrichment analysis (FUMA GWAS) and HumanNet-XC analysis were conducted to explore the functional relevance of identified target genes with BD.
resultsAfter the integrative analysis, we identified 52 TFBRs target genes, 44 TADs target genes, 55 CIRs target genes and 21 lncRNAs target genes for BD, such as ITIH4 (P
conclusionWe conducted a large-scale integrative analysis of GWAS and 6 common rSNP information datasets to explore the potential roles of rSNPs in the genetic mechanism of BD. We identified multiple candidate genes for BD, supporting the importance of rSNP in the development of BD.
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