2014
DOI: 10.1016/j.jmb.2014.04.026
|View full text |Cite
|
Sign up to set email alerts
|

SuSPect: Enhanced Prediction of Single Amino Acid Variant (SAV) Phenotype Using Network Features

Abstract: Whole-genome and exome sequencing studies reveal many genetic variants between individuals, some of which are linked to disease. Many of these variants lead to single amino acid variants (SAVs), and accurate prediction of their phenotypic impact is important. Incorporating sequence conservation and network-level features, we have developed a method, SuSPect (Disease-Susceptibility-based SAV Phenotype Prediction), for predicting how likely SAVs are to be associated with disease. SuSPect performs significantly b… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

1
166
0

Year Published

2014
2014
2018
2018

Publication Types

Select...
9
1

Relationship

0
10

Authors

Journals

citations
Cited by 199 publications
(167 citation statements)
references
References 56 publications
1
166
0
Order By: Relevance
“…Positions resulting in protein-altering changes were identified using the Ensembl Variant Effect Predictor (version 78) and variants shared between family members were annotated using custom scripts. The predicted functional consequences of missense variants were assessed using SIFT, 21 CADD, 22 and SuSPect 23 algorithms.…”
Section: Sequence Alignment and Analysismentioning
confidence: 99%
“…Positions resulting in protein-altering changes were identified using the Ensembl Variant Effect Predictor (version 78) and variants shared between family members were annotated using custom scripts. The predicted functional consequences of missense variants were assessed using SIFT, 21 CADD, 22 and SuSPect 23 algorithms.…”
Section: Sequence Alignment and Analysismentioning
confidence: 99%
“…Phylogenetic trees, sequence alignment and phenotypic prediction were carried out using Phylogeny.fr (Dereeper et al, 2008(Dereeper et al, , 2010, PRALINE (CIBVU) and SuSPect (Yates et al, 2014), respectively.…”
Section: Phylogenetic Analysismentioning
confidence: 99%
“…Sequence conservation is used to predict which mutations can be tolerated within a protein structure, and similarly, protein structures have been used for estimating how disruptive a missense mutation may be [15,[17][18][19][20]. Techniques originally developed to predict the consequences of amino-acid changes observed in SNPs and Mendelian genetic diseases, have been applied to cancer mutations, but have often failed to provide sufficiently reliable prediction.…”
Section: Identifying Driver Mutationsmentioning
confidence: 99%