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...

Full description

Bibliographic Details
Main Authors: Thanawadee ePreeprem, Greg eGibson
Format: Article
Language:English
Published: Frontiers Media S.A. 2014-04-01
Series:Frontiers in Genetics
Subjects:
Online Access:http://journal.frontiersin.org/Journal/10.3389/fgene.2014.00082/full
id doaj-0909ebd606fa4ea3ac1a1e9fe2b293fb
record_format Article
spelling 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 AT thanawadeeepreeprem sdsastructuraldisruptionscoreforassessmentofmissensevariantdeleteriousness
AT gregegibson sdsastructuraldisruptionscoreforassessmentofmissensevariantdeleteriousness
_version_ 1725853440318373888