In Silico Prediction of Effect of Missense Mutations

MK Magdalena Koczkowska
YC Yunjia Chen
TC Tom Callens
AG Alicia Gomes
AS Angela Sharp
SJ Sherrell Johnson
MH Meng-Chang Hsiao
ZC Zhenbin Chen
MB Meena Balasubramanian
CB Christopher P. Barnett
TB Troy A. Becker
SB Shay Ben-Shachar
DB Debora R. Bertola
JB Jaishri O. Blakeley
EB Emma M.M. Burkitt-Wright
AC Alison Callaway
MC Melissa Crenshaw
KC Karin S. Cunha
MC Mitch Cunningham
MD Maria D. D’Agostino
KD Karin Dahan
AL Alessandro De Luca
AD Anne Destrée
RD Radhika Dhamija
ME Marica Eoli
DE D. Gareth R. Evans
PG Patricia Galvin-Parton
JG Jaya K. George-Abraham
KG Karen W. Gripp
JG Jose Guevara-Campos
NH Neil A. Hanchard
CH Concepcion Hernández-Chico
LI LaDonna Immken
SJ Sandra Janssens
KJ Kristi J. Jones
BK Beth A. Keena
AK Aaina Kochhar
JL Jan Liebelt
AM Arelis Martir-Negron
MM Maurice J. Mahoney
IM Isabelle Maystadt
CM Carey McDougall
MM Meriel McEntagart
NM Nancy Mendelsohn
DM David T. Miller
GM Geert Mortier
JM Jenny Morton
JP John Pappas
SP Scott R. Plotkin
DP Dinel Pond
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Eight software programs were used to predict the effects of missense variants: two online in silico prediction tools (CADD v.1.3 and PolyPhen-2) and six complementary tools (Grantham Difference, SIFT v.4.0.3, SpliceSiteFinder-like, MaxEntScan, NNSplice v.0.9, and Human Splicing Finder v.2.4.1) embedded in Alamut visual software v.2.9.0 (Interactive Biosoftware). The presence or absence of the variants was checked in population databases, including the Genome Aggregation Database (gnomAD), 1000 Genomes, and the Exome Variant Server (EVS) as well as in disease databases: the Leiden Open Variation Database (LOVD), ClinVar, and the Human Gene Mutation Database (HGMD) (last accessed May 2017). Evolutionary conservation for human neurofibromin GenBank: NP_000258.1 residues 804–950 was evaluated using Clustal software v.2.0.12. The palindromic sequences and quadruplex forming G-Rich sequences (QGRS) were identified by Palindrome search and QGRS Mapper, respectively.

Interpretation of variant pathogenicity was performed based on the American College of Medical Genetics and Genomics (ACMG) recommendations.43

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