ArticlePloS one2013
Pathway analysis using information from allele-specific gene methylation in genome-wide association studies for bipolar disorder.
Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
11 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Exploring genetic variation that influences brain methylation in attention-deficit/hyperactivity disorder.Translational psychiatry · 2019Pooled it
- Identification of genetic variants influencing methylation in brain with pleiotropic effects on psychiatric disorders.Progress in neuro-psychopharmacology & biological psychiatry · 2022Article
- Genetic Pathways and Functional Subnetworks for the Complex Nature of Bipolar Disorder in Genome-Wide Association Study.Frontiers in molecular neuroscience · 2021Article
- Whole Transcriptome Profiling: An RNA-Seq Primer and Implications for Pharmacogenomics Research.Clinical and translational science · 2018Review
- Building a genetic risk model for bipolar disorder from genome-wide association data with random forest algorithm.Scientific reports · 2017Article
- In silico analysis of regulatory and structural motifs of the ovine HSP90AA1 gene.Cell stress & chaperones · 2016Article
- Advanced Applications of RNA Sequencing and Challenges.Bioinformatics and biology insights · 2015Review
- Kernel-machine testing coupled with a rank-truncation method for genetic pathway analysis.Genetic epidemiology · 2014Article
- Identifying Potential Regions of Copy Number Variation for Bipolar Disorder.Microarrays (Basel, Switzerland) · 2014Article
- A network-based kernel machine test for the identification of risk pathways in genome-wide association studies.Human heredity · 2013Article
- Incorporating Information of microRNAs into Pathway Analysis in a Genome-Wide Association Study of Bipolar Disorder.Frontiers in genetics · 2012Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
Bipolar disorder (BPD) is a complex psychiatric trait with high heritability. Despite efforts through conducting genome-wide association (GWA) studies, the success of identifying susceptibility loci for BPD has been limited, which is partially attributed to the complex nature of its pathogenesis. Pathway-based analytic strategy is a powerful tool to explore joint effects of gene sets within specific biological pathways. Additionally, to incorporate other aspects of genomic data into pathway analysis may further enhance our understanding for the underlying mechanisms for BPD. Patterns of DNA methylation play important roles in regulating gene expression and function. A commonly observed phenomenon, allele-specific methylation (ASM) describes the associations between genetic variants and DNA methylation patterns. The present study aimed to identify biological pathways that are involve in the pathogenesis of BPD while incorporating brain specific ASM information in pathway analysis using two large-scale GWA datasets in Caucasian populations. A weighting scheme was adopted to take ASM information into consideration for each pathway. After multiple testing corrections, we identified 88 and 15 enriched pathways for their biological relevance for BPD in the Genetic Association Information Network (GAIN) and the Wellcome Trust Case Control Consortium dataset, respectively. Many of these pathways were significant only when applying the weighting scheme. Three ion channel related pathways were consistently identified in both datasets. Results in the GAIN dataset also suggest for the roles of extracellular matrix in brain for BPD. Findings from Gene Ontology (GO) analysis exhibited functional enrichment among genes of non-GO pathways in activity of gated channel, transporter, and neurotransmitter receptor. We demonstrated that integrating different data sources with pathway analysis provides an avenue to identify promising and novel biological pathways for exploring the underlying molecular mechanisms for bipolar disorder. Further basic research can be conducted to target the biological mechanisms for the identified genes and pathways.
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