SynthesisPLoS computational biology2012
Network-assisted investigation of combined causal signals from genome-wide association studies in schizophrenia.
Synthesis in PLoS computational biology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 64 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
64 citing papers in PubMed, 1 synthesis or guideline pooled it, 107 citations in OpenAlex.
- Systems Genetics Analysis of Genome-Wide Association Study Reveals Novel Associations Between Key Biological Processes and Coronary Artery Disease.Arteriosclerosis, thrombosis, and vascular biology · 2015Pooled it
- Gα13 Overexpression in the Medial Prefrontal Cortex Disrupts Social Behavior Through the Adcyap1/cAMP/PKA/NMDAR Pathway.Schizophrenia bulletin · 2026Article
- Acid sphingomyelinase activity suggests a new antipsychotic pharmaco-treatment strategy for schizophrenia.Molecular psychiatry · 2025Article
- Nicotine Exposure in a Phencyclidine-Induced Mice Model of Schizophrenia: Sex-Selective Medial Prefrontal Cortex Protein Markers of the Combined Insults in Adolescent Mice.International journal of molecular sciences · 2023Article
- The genetic architecture of fornix white matter microstructure and their involvement in neuropsychiatric disorders.Translational psychiatry · 2023Article
- scGWAS: landscape of trait-cell type associations by integrating single-cell transcriptomics-wide and genome-wide association studies.Genome biology · 2022Article
- Different responses to risperidone treatment in Schizophrenia: a multicenter genome-wide association and whole exome sequencing joint study.Translational psychiatry · 2022Article
- Distinct effect of prenatal and postnatal brain expression across 20 brain disorders and anthropometric social traits: a systematic study of spatiotemporal modularity.Briefings in bioinformatics · 2021Article
- Comorbidities and Susceptibility to COVID-19: A Generalized Gene Set Data Mining Approach.Journal of clinical medicine · 2021Article
- Identification of Atrial Fibrillation-Associated GenesFrontiers in genetics · 2021Article
- A Combined Analysis of Genetically Correlated Traits Identifies Genes and Brain Regions for Insomnia.Canadian journal of psychiatry. Revue canadienne de psychiatrie · 2020Article
- An integrative, genomic, transcriptomic and network-assisted study to identify genes associated with human cleft lip with or without cleft palate.BMC medical genomics · 2020Article
- Dense module searching for gene networks associated with multiple sclerosis.BMC medical genomics · 2020Article
- Article
- The Integrated Landscape of Biological Candidate Causal Genes in Coronary Artery Disease.Frontiers in genetics · 2020Article
- Review
- 2018 George Lyman Duff Memorial Lecture: Genetics and Genomics of Coronary Artery Disease: A Decade of Progress.Arteriosclerosis, thrombosis, and vascular biology · 2019Article
- Systematic genetic analyses of GWAS data reveal an association between the immune system and insomnia.Molecular genetics & genomic medicine · 2019Article
- Translational bioinformatics in mental health: open access data sources and computational biomarker discovery.Briefings in bioinformatics · 2019Review
- Investigation of multi-trait associations using pathway-based analysis of GWAS summary statistics.BMC genomics · 2019Article
4 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 4 institutions in 1 country.
Funding
Abstract
With the recent success of genome-wide association studies (GWAS), a wealth of association data has been accomplished for more than 200 complex diseases/traits, proposing a strong demand for data integration and interpretation. A combinatory analysis of multiple GWAS datasets, or an integrative analysis of GWAS data and other high-throughput data, has been particularly promising. In this study, we proposed an integrative analysis framework of multiple GWAS datasets by overlaying association signals onto the protein-protein interaction network, and demonstrated it using schizophrenia datasets. Building on a dense module search algorithm, we first searched for significantly enriched subnetworks for schizophrenia in each single GWAS dataset and then implemented a discovery-evaluation strategy to identify module genes with consistent association signals. We validated the module genes in an independent dataset, and also examined them through meta-analysis of the related SNPs using multiple GWAS datasets. As a result, we identified 205 module genes with a joint effect significantly associated with schizophrenia; these module genes included a number of well-studied candidate genes such as DISC1, GNA12, GNA13, GNAI1, GPR17, and GRIN2B. Further functional analysis suggested these genes are involved in neuronal related processes. Additionally, meta-analysis found that 18 SNPs in 9 module genes had P(meta)<1 × 10⁻⁴, including the gene HLA-DQA1 located in the MHC region on chromosome 6, which was reported in previous studies using the largest cohort of schizophrenia patients to date. These results demonstrated our bi-directional network-based strategy is efficient for identifying disease-associated genes with modest signals in GWAS datasets. This approach can be applied to any other complex diseases/traits where multiple GWAS datasets are available.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.