ArticleCancer research2018
Integrative Genomic Analysis Predicts Causative
Article in Cancer research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.
What it found
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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
23 citing papers in PubMed, 1 synthesis or guideline pooled it, 38 citations in OpenAlex.
- The landscape of GWAS validation; systematic review identifying 309 validated non-coding variants across 130 human diseases.BMC medical genomics · 2022Pooled it
- Bioinformatics insights into mitochondrial and immune gene regulation in Alzheimer's disease.European journal of medical research · 2025Article
- Mitochondrial ribosomal proteins: potential targets for cancer prognosis and therapy.Frontiers in oncology · 2025Review
- Identification of candidate causal variants and target genes at 41 breast cancer risk loci through differential allelic expression analysis.Scientific reports · 2024Article
- In silico identification and in vitro evaluation of MRPS30-DT lncRNA and MRPS30 gene expression in breast cancer.Cancer reports (Hoboken, N.J.) · 2024Article
- Predicting the molecular functions of regulatory genetic variants associated with cancer.Oncotarget · 2023Article
- Leveraging epigenomes and three-dimensional genome organization for interpreting regulatory variation.PLoS computational biology · 2023Article
- The risk variant rs11836367 contributes to breast cancer onset and metastasis by attenuating Wnt signaling via regulatingScience advances · 2022Article
- Integrated genomic analysis identifies novel low-frequencyFrontiers in cell and developmental biology · 2022Article
- Article
- Deep learning for cancer type classification and driver gene identification.BMC bioinformatics · 2021Article
- Functional analysis of low-grade glioma genetic variants predicts key target genes and transcription factors.Neuro-oncology · 2021Article
- Abnormal Expression of Mitochondrial Ribosomal Proteins and Their Encoding Genes with Cell Apoptosis and Diseases.International journal of molecular sciences · 2020Review
- Long Non-coding RNAs Mechanisms of Action in HIV-1 Modulation and the Identification of Novel Therapeutic Targets.Non-coding RNA · 2020Review
- Differential Allele-Specific Expression Uncovers Breast Cancer Genes Dysregulated by Cis Noncoding Mutations.Cell systems · 2020Article
- An integrated analysis of public genomic data unveils a possible functional mechanism of psoriasis risk via a long-range ERRFI1 enhancer.BMC medical genomics · 2020Article
- ABC-GWAS: Functional Annotation of Estrogen Receptor-Positive Breast Cancer Genetic Variants.Frontiers in genetics · 2020Article
- Significance of Single-Nucleotide Variants in Long Intergenic Non-protein Coding RNAs.Frontiers in cell and developmental biology · 2020Review
- Mechanistic interpretation of non-coding variants for discovering transcriptional regulators of drug response.BMC biology · 2019Article
- Genetic variants in a long noncoding RNA related to Sunitinib Resistance predict risk and survival of patients with renal cell carcinoma.Cancer medicine · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 3 institutions in 1 country.
Funding
Abstract
Previous genome-wide association studies (GWAS) have identified several common genetic variants that may significantly modulate cancer susceptibility. However, the precise molecular mechanisms behind these associations remain largely unknown; it is often not clear whether discovered variants are themselves functional or merely genetically linked to other functional variants. Here, we provide an integrated method for identifying functional regulatory variants associated with cancer and their target genes by combining analyses of expression quantitative trait loci, a modified version of allele-specific expression that systematically utilizes haplotype information, transcription factor (TF)-binding preference, and epigenetic information. Application of our method to a breast cancer susceptibility region in 5p12 demonstrates that the risk allele rs4415084-T correlates with higher expression levels of the protein-coding gene mitochondrial ribosomal protein S30 (
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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.