SDS, a structural disruption score for assessment of missense variant deleteriousness
We have developed a novel structure-based evaluation for missense variants that explicitly models protein structure and amino acid properties to predict the likelihood that a variant disrupts protein function. A structural disruption score (SDS) is introduced as a measure to depict the likelihood th...
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doaj-0909ebd606fa4ea3ac1a1e9fe2b293fb2020-11-24T21:57:48ZengFrontiers Media S.A.Frontiers in Genetics1664-80212014-04-01510.3389/fgene.2014.0008286153SDS, a structural disruption score for assessment of missense variant deleteriousnessThanawadee ePreeprem0Greg eGibson1Georgia Institute of TechnologyGeorgia Institute of TechnologyWe have developed a novel structure-based evaluation for missense variants that explicitly models protein structure and amino acid properties to predict the likelihood that a variant disrupts protein function. A structural disruption score (SDS) is introduced as a measure to depict the likelihood that a case variant is functional. The score is constructed using characteristics that distinguish between causal and neutral variants within a group of proteins. The SDS score is correlated with standard sequence-based deleteriousness, but shows promise for improving discrimination between neutral and causal variants at less conserved sites.<br/><br/>The prediction was performed on 3-dimentional structures of 57 gene products whose homozygous SNPs were identified as case-exclusive variants in an exome sequencing study of epilepsy disorders. We contrasted the candidate epilepsy variants with scores for likely benign variants found in the EVS database, and for positive control variants in the same genes that are suspected to promote a range of diseases. To derive a characteristic profile of damaging SNPs, we transformed continuous scores into categorical variables based on the score distribution of each measurement, collected from all possible SNPs in this protein set, where extreme measures were assumed to be deleterious. A second epilepsy dataset was used to replicate the findings. <br/><br/>Causal variants tend to receive higher sequence-based deleterious scores, induce larger physico-chemical changes between amino acid pairs, locate in protein domains, buried sites or on conserved protein surface clusters, and cause protein destabilization, relative to negative controls. These measures were agglomerated for each variant. A list of nine high-priority putative functional variants for epilepsy was generated. Our newly developed SDS protocol facilitates SNP prioritization for experimental validation.http://journal.frontiersin.org/Journal/10.3389/fgene.2014.00082/fullMissense Mutationnon-synonymous single nucleotide polymorphismprotein structure analysisstructural disruption scorevariant prioritizationepilepsy disorders |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Thanawadee ePreeprem Greg eGibson |
spellingShingle |
Thanawadee ePreeprem Greg eGibson SDS, a structural disruption score for assessment of missense variant deleteriousness Frontiers in Genetics Missense Mutation non-synonymous single nucleotide polymorphism protein structure analysis structural disruption score variant prioritization epilepsy disorders |
author_facet |
Thanawadee ePreeprem Greg eGibson |
author_sort |
Thanawadee ePreeprem |
title |
SDS, a structural disruption score for assessment of missense variant deleteriousness |
title_short |
SDS, a structural disruption score for assessment of missense variant deleteriousness |
title_full |
SDS, a structural disruption score for assessment of missense variant deleteriousness |
title_fullStr |
SDS, a structural disruption score for assessment of missense variant deleteriousness |
title_full_unstemmed |
SDS, a structural disruption score for assessment of missense variant deleteriousness |
title_sort |
sds, a structural disruption score for assessment of missense variant deleteriousness |
publisher |
Frontiers Media S.A. |
series |
Frontiers in Genetics |
issn |
1664-8021 |
publishDate |
2014-04-01 |
description |
We have developed a novel structure-based evaluation for missense variants that explicitly models protein structure and amino acid properties to predict the likelihood that a variant disrupts protein function. A structural disruption score (SDS) is introduced as a measure to depict the likelihood that a case variant is functional. The score is constructed using characteristics that distinguish between causal and neutral variants within a group of proteins. The SDS score is correlated with standard sequence-based deleteriousness, but shows promise for improving discrimination between neutral and causal variants at less conserved sites.<br/><br/>The prediction was performed on 3-dimentional structures of 57 gene products whose homozygous SNPs were identified as case-exclusive variants in an exome sequencing study of epilepsy disorders. We contrasted the candidate epilepsy variants with scores for likely benign variants found in the EVS database, and for positive control variants in the same genes that are suspected to promote a range of diseases. To derive a characteristic profile of damaging SNPs, we transformed continuous scores into categorical variables based on the score distribution of each measurement, collected from all possible SNPs in this protein set, where extreme measures were assumed to be deleterious. A second epilepsy dataset was used to replicate the findings. <br/><br/>Causal variants tend to receive higher sequence-based deleterious scores, induce larger physico-chemical changes between amino acid pairs, locate in protein domains, buried sites or on conserved protein surface clusters, and cause protein destabilization, relative to negative controls. These measures were agglomerated for each variant. A list of nine high-priority putative functional variants for epilepsy was generated. Our newly developed SDS protocol facilitates SNP prioritization for experimental validation. |
topic |
Missense Mutation non-synonymous single nucleotide polymorphism protein structure analysis structural disruption score variant prioritization epilepsy disorders |
url |
http://journal.frontiersin.org/Journal/10.3389/fgene.2014.00082/full |
work_keys_str_mv |
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