Skip to content

An integrative approach to predicting the functional effects of small indels in non-coding regions of the human genome

Research output: Contribution to journalArticle

Original languageEnglish
Article number442
JournalBMC Bioinformatics
Volume18
Issue number1
Early online date6 Oct 2017
DOIs
DateAccepted/In press - 2 Oct 2017
DateE-pub ahead of print - 6 Oct 2017
DatePublished (current) - 6 Oct 2017

Abstract

Background: Small insertions and deletions (indels) have a significant influence in human disease and, in terms of frequency, they are second only to single nucleotide variants as pathogenic mutations. As the majority of mutations associated with complex traits are located outside the exome, it is crucial to investigate the potential pathogenic impact of indels in non-coding regions of the human genome. Results: We present FATHMM-indel, an integrative approach to predict the functional effect, pathogenic or neutral, of indels in non-coding regions of the human genome. Our method exploits various genomic annotations in addition to sequence data. When validated on benchmark data, FATHMM-indel significantly outperforms CADD and GAVIN, state of the art models in assessing the pathogenic impact of non-coding variants. FATHMM-indel is available via a web server at indels.biocompute.org.uk. Conclusions: FATHMM-indel can accurately predict the functional impact and prioritise small indels throughout the whole non-coding genome.

    Research areas

  • Indels, Non-coding genome, Support vector machines, Variant prioritisation

Download statistics

No data available

Documents

Documents

DOI

View research connections

Related faculties, schools or groups