ArticleBioinformatics (Oxford, England)2018
FATHMM-XF: accurate prediction of pathogenic point mutations via extended features.
Article in Bioinformatics (Oxford, England), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 289 papers, 3 of them syntheses that pooled it.
What it found
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Who cites it
289 citing papers in PubMed, 3 syntheses or guidelines pooled it, 534 citations in OpenAlex.
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- HiFIseek: Gene-specific enrichment of high-impact mutations in associated genomic regions.PLoS computational biology · 2026Article
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- AWTI-Net Enables Accurate and Interpretable Functional Assessment of Disease-Associated LncRNA Mutations.Interdisciplinary sciences, computational life sciences · 2026Article
- Characterization of Ocular Developmental Disorders in the Israeli Population: Genotype-Phenotype Correlations and Novel Candidate Genes.Biomolecules · 2026Article
- MetaSTAARlite: an all-in-one tool for biobank-scale whole-genome sequencing meta-analysis.Nature computational science · 2026Article
- Defining the molecular tolerance-to-damage landscape of SMARCA4 helicase genetic alterations.bioRxiv : the preprint server for biology · 2026Article
- Whole Genome Sequence Analysis of Weight Loss in 16 972 Participants With COPD Reveals Novel Risk Loci in DRAIC and RFX3.Journal of cachexia, sarcopenia and muscle · 2026Article
- Replication of 10 novel loci involved in human plasma protein N-glycosylation using MALDI-MS and UHPLC-FD data.Glycobiology · 2026Article
- CASER: A semi-supervised model with multi-omics data integration prioritizes cancer-associated epigenetic regulator genes.PLoS computational biology · 2026Article
- An Integrative Variant Scoring Function for Finding Novel Genes Associated with Ovarian and Thyroid Cancer.International journal of environmental research and public health · 2026Article
- CDsyn: A comprehensive database for deleterious human synonymous variation prediction.iScience · 2026Article
- Article
- Computational variant predictors for pharmacogenomics: from evaluation of single alleles to assessment of adverse drug reactions to antidepressants.The pharmacogenomics journal · 2026Article
229 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
6 authors at 3 institutions in 1 country.
Funding
Abstract
Summary: We present FATHMM-XF, a method for predicting pathogenic point mutations in the human genome. Drawing on an extensive feature set, FATHMM-XF outperforms competitors on benchmark tests, particularly in non-coding regions where the majority of pathogenic mutations are likely to be found. Availability and implementation: The FATHMM-XF web server is available at http://fathmm.biocompute.org.uk/fathmm-xf/, and as tracks on the Genome Tolerance Browser: http://gtb.biocompute.org.uk. Predictions are provided for human genome version GRCh37/hg19. The data used for this project can be downloaded from: http://fathmm.biocompute.org.uk/fathmm-xf/. Contact: mark.rogers@bristol.ac.uk or c.campbell@bristol.ac.uk. Supplementary information: Supplementary data are available at Bioinformatics online.
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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.