An integrative approach to predicting the functional effects of small indels in non-coding regions of the human genome
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 cr...
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| Published in: | BMC bioinformatics Vol. 18; no. 1; pp. 442 - 8 |
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| Main Authors: | , , , , , , |
| Format: | Journal Article |
| Language: | English |
| Published: |
London
BioMed Central
06.10.2017
BioMed Central Ltd Springer Nature B.V BMC |
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| ISSN: | 1471-2105, 1471-2105 |
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| 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. |
|---|---|
| AbstractList | 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.
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.
FATHMM-indel can accurately predict the functional impact and prioritise small indels throughout the whole non-coding genome. 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. 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. FATHMM-indel can accurately predict the functional impact and prioritise small indels throughout the whole non-coding genome. BackgroundSmall 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.ResultsWe 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.ConclusionsFATHMM-indel can accurately predict the functional impact and prioritise small indels throughout the whole non-coding genome. 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. 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.BACKGROUNDSmall 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.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.RESULTSWe 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.FATHMM-indel can accurately predict the functional impact and prioritise small indels throughout the whole non-coding genome.CONCLUSIONSFATHMM-indel can accurately predict the functional impact and prioritise small indels throughout the whole non-coding genome. 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. 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. Keywords: Indels, Non-coding genome, Variant prioritisation, Support vector machines |
| ArticleNumber | 442 |
| Audience | Academic |
| Author | Rogers, Mark F. Campbell, Colin Gaunt, Tom R. Shihab, Hashem A. Mort, Matthew Ferlaino, Michael Cooper, David N. |
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| Cites_doi | 10.1038/nrg3074 10.1038/nature11247 10.1093/hmg/ddv259 10.1017/CBO9780511809682 10.1148/radiology.143.1.7063747 10.1101/gr.097857.109 10.1093/bioinformatics/btu862 10.1038/ng.2892 10.1007/s00439-017-1779-6 10.1186/gb-2012-13-2-r9 10.1038/nature15393 10.1038/ng.915 10.1038/nature06611 10.1002/humu.22225 10.1093/bioinformatics/btu703 10.1093/nar/gkt1113 10.1038/nature11690 10.1371/journal.pcbi.1000173 10.1002/humu.22911 10.1101/gr.6406307 10.1186/s13059-016-1141-7 10.1038/nmeth.2832 10.1101/gr.3715005 10.1371/journal.pgen.1002128 10.3389/fbioe.2015.00008 10.1093/bioinformatics/btv009 10.1007/978-3-031-01552-6 10.1371/journal.pcbi.1005465 |
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| Keywords | Support vector machines Indels Variant prioritisation Non-coding genome |
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| References | KS Pollard (1862_CR17) 2010; 20 GR Ritchie (1862_CR3) 2014; 11 C Douville (1862_CR5) 2016; 37 Velde van der (1862_CR24) 2017; 18 The ENCODE Project Consortium (1862_CR31) 2012; 489 W Fu (1862_CR13) 2013; 493 GC Cawley (1862_CR23) 2010; 11 F Afsar Minhas (1862_CR21) 2017; 13 HA Shihab (1862_CR15) 2015; 31 L de Pontual (1862_CR9) 2011; 43 PD Stenson (1862_CR25) 2017; 136 J Shawe-Taylor (1862_CR18) 2004 L Folkman (1862_CR6) 2015; 31 M Pheasant (1862_CR29) 2007; 17 F Zhang (1862_CR11) 2015; 24 MJ Landrum (1862_CR12) 2014; 42 A Siepel (1862_CR16) 2005; 15 A Ben-Hur (1862_CR20) 2008; 4 X Luo (1862_CR10) 2011; 7 J Platt (1862_CR22) 1999 JA Hanley (1862_CR26) 1982; 143 M Esteller (1862_CR8) 2011; 12 M Kircher (1862_CR2) 2014; 46 KE Lohmuelle (1862_CR28) 2008; 21 G Narzisi (1862_CR14) 2015; 3 M Gönen (1862_CR30) 2011; 12 D Quang (1862_CR4) 2015; 31 C Campbell (1862_CR19) 2011 The 1000 Genomes Project Consortium (1862_CR27) 2015; 526 HA Shihab (1862_CR1) 2013; 34 J Hu (1862_CR7) 2012; 13 |
| References_xml | – volume: 12 start-page: 861 year: 2011 ident: 1862_CR8 publication-title: Nat Rev Genet doi: 10.1038/nrg3074 – volume-title: Advances in Large Margin Classifiers year: 1999 ident: 1862_CR22 – volume: 489 start-page: 57 year: 2012 ident: 1862_CR31 publication-title: Nature doi: 10.1038/nature11247 – volume: 24 start-page: 102 year: 2015 ident: 1862_CR11 publication-title: Hum Mol Genet doi: 10.1093/hmg/ddv259 – volume-title: Kernel Methods for Pattern Analysis year: 2004 ident: 1862_CR18 doi: 10.1017/CBO9780511809682 – volume: 143 start-page: 29 year: 1982 ident: 1862_CR26 publication-title: Radiology doi: 10.1148/radiology.143.1.7063747 – volume: 20 start-page: 110 year: 2010 ident: 1862_CR17 publication-title: Genome Res doi: 10.1101/gr.097857.109 – volume: 11 start-page: 2079 year: 2010 ident: 1862_CR23 publication-title: J Mach Learn Res – volume: 31 start-page: 1599 year: 2015 ident: 1862_CR6 publication-title: Bioinformatics doi: 10.1093/bioinformatics/btu862 – volume: 46 start-page: 310 year: 2014 ident: 1862_CR2 publication-title: Nat Genet doi: 10.1038/ng.2892 – volume: 136 start-page: 665 year: 2017 ident: 1862_CR25 publication-title: Hum Genet doi: 10.1007/s00439-017-1779-6 – volume: 13 start-page: R9 year: 2012 ident: 1862_CR7 publication-title: Genome Biol. doi: 10.1186/gb-2012-13-2-r9 – volume: 526 start-page: 68 year: 2015 ident: 1862_CR27 publication-title: Nature doi: 10.1038/nature15393 – volume: 43 start-page: 1026 year: 2011 ident: 1862_CR9 publication-title: Nat Genet doi: 10.1038/ng.915 – volume: 21 start-page: 994 year: 2008 ident: 1862_CR28 publication-title: Nature doi: 10.1038/nature06611 – volume: 34 start-page: 57 year: 2013 ident: 1862_CR1 publication-title: Hum Mutat doi: 10.1002/humu.22225 – volume: 31 start-page: 761 year: 2015 ident: 1862_CR4 publication-title: Bioinformatics doi: 10.1093/bioinformatics/btu703 – volume: 42 start-page: 980 year: 2014 ident: 1862_CR12 publication-title: Nucleic Acids Res doi: 10.1093/nar/gkt1113 – volume: 493 start-page: 216 year: 2013 ident: 1862_CR13 publication-title: Nature doi: 10.1038/nature11690 – volume: 4 start-page: e1000173 issue: 10 year: 2008 ident: 1862_CR20 publication-title: PLoS Comput Biol. doi: 10.1371/journal.pcbi.1000173 – volume: 37 start-page: 28 year: 2016 ident: 1862_CR5 publication-title: Hum Mutat doi: 10.1002/humu.22911 – volume: 17 start-page: 1245 year: 2007 ident: 1862_CR29 publication-title: Genome Res doi: 10.1101/gr.6406307 – volume: 18 start-page: 6 year: 2017 ident: 1862_CR24 publication-title: Genome Biol. doi: 10.1186/s13059-016-1141-7 – volume: 11 start-page: 294 year: 2014 ident: 1862_CR3 publication-title: Nat Methods doi: 10.1038/nmeth.2832 – volume: 15 start-page: 1034 year: 2005 ident: 1862_CR16 publication-title: Genom Res doi: 10.1101/gr.3715005 – volume: 7 start-page: e1002128 issue: 6 year: 2011 ident: 1862_CR10 publication-title: PLoS Genet. doi: 10.1371/journal.pgen.1002128 – volume: 3 start-page: 8 year: 2015 ident: 1862_CR14 publication-title: Front Bioeng Biotechnol doi: 10.3389/fbioe.2015.00008 – volume: 31 start-page: 1536 year: 2015 ident: 1862_CR15 publication-title: Bioinformatics doi: 10.1093/bioinformatics/btv009 – volume: 12 start-page: 2211 year: 2011 ident: 1862_CR30 publication-title: J Mach Learn Res – volume-title: Learning with Support Vector Machines year: 2011 ident: 1862_CR19 doi: 10.1007/978-3-031-01552-6 – volume: 13 start-page: e1005465 issue: 4 year: 2017 ident: 1862_CR21 publication-title: PLoS Comput Biol. doi: 10.1371/journal.pcbi.1005465 |
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Small insertions and deletions (indels) have a significant influence in human disease and, in terms of frequency, they are second only to single... Small insertions and deletions (indels) have a significant influence in human disease and, in terms of frequency, they are second only to single nucleotide... Background Small insertions and deletions (indels) have a significant influence in human disease and, in terms of frequency, they are second only to single... BackgroundSmall insertions and deletions (indels) have a significant influence in human disease and, in terms of frequency, they are second only to single... Abstract Background Small insertions and deletions (indels) have a significant influence in human disease and, in terms of frequency, they are second only to... |
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| SubjectTerms | Algorithms Analysis Annotations Bioinformatics Biomedical and Life Sciences Computational Biology - methods Computational Biology/Bioinformatics Computer Appl. in Life Sciences Consortia Deoxyribonucleic acid DNA DNA, Intergenic - genetics Genetics, Population Genome, Human Genomes Genomics Human genome Humans INDEL Mutation - genetics Indels Internet Life Sciences Methods Microarrays Mutation Non-coding genome Nucleotide sequence Phenotype Physiological aspects Reproducibility of Results Research Article Results and data ROC Curve Servers Software State of the art Support vector machines Variant prioritisation |
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| Title | An integrative approach to predicting the functional effects of small indels in non-coding regions of the human genome |
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