ArticleResearch in computational molecular biology : ... Annual International Conference, RECOMB ... : proceedings. RECOMB (Conference : 2005- )2017
Quantifying the Impact of Non-coding Variants on Transcription Factor-DNA Binding.
Article in Research in computational molecular biology : ... Annual International Conference, RECOMB ... : proceedings. RECOMB (Conference : 2005- ), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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.
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Who cites it
15 citing papers in PubMed, 50 citations in OpenAlex.
- Species-specific chromatin architecture and neurogenesis mediated by a human enhancer.Cell stem cell · 2026Article
- Whole exome sequencing analysis of suicidal thoughts and behaviors in a veteran cohort implicates inflammatory pathways and genes previously associated with psychiatric and neurodegenerative diseases.Journal of affective disorders · 2026Article
- Ultra-fast variant effect prediction using biophysical transcription factor binding models.Nucleic acids research · 2025Article
- A statistical approach for identifying single nucleotide variants that affect transcription factor binding.iScience · 2024Article
- Regulatory landscape enrichment analysis (RLEA): a computational toolkit for non-coding variant enrichment and cell type prioritization.BMC bioinformatics · 2024Article
- Decoding Non-coding Variants: Recent Approaches to Studying Their Role in Gene Regulation and Human Diseases.Frontiers in bioscience (Scholar edition) · 2024Review
- Epigenome profiling reveals aberrant DNA methylation signature in GATA2 deficiency.Haematologica · 2023Article
- Regulatory de novo mutations underlying intellectual disability.Life science alliance · 2023Article
- PSnpBind-ML: predicting the effect of binding site mutations on protein-ligand binding affinity.Journal of cheminformatics · 2023Article
- Transcription Factor-Centric Approach to Identify Non-Recurring Putative Regulatory Drivers in Cancer.Research in computational molecular biology : ... Annual International Conference, RECOMB ... : proceedings. RECOMB (Conference : 2005- ) · 2022Article
- Coding and noncoding variants in EBF3 are involved in HADDS and simplex autism.Human genomics · 2021Article
- The Genome in a Three-Dimensional Context: Deciphering the Contribution of Noncoding Mutations at Enhancers to Blood Cancer.Frontiers in immunology · 2020Review
- Multiple selective sweeps of ancient polymorphisms in and around LTα located in the MHC class III region on chromosome 6.BMC evolutionary biology · 2019Article
- QBiC-Pred: quantitative predictions of transcription factor binding changes due to sequence variants.Nucleic acids research · 2019Article
- Genomic structural variations lead to dysregulation of important coding and non-coding RNA species in dilated cardiomyopathy.EMBO molecular medicine · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 1 institution in 1 country.
Funding
Abstract
Many recent studies have emphasized the importance of genetic variants and mutations in cancer and other complex human diseases. The overwhelming majority of these variants occur in non-coding portions of the genome, where they can have a functional impact by disrupting regulatory interactions between transcription factors (TFs) and DNA. Here, we present a method for assessing the impact of non-coding mutations on TF-DNA interactions, based on regression models of DNA-binding specificity trained on high-throughput
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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.