Journal ArticleDOI
Predicting the effects of coding non-synonymous variants on protein function using the SIFT algorithm.
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TLDR
This protocol describes the use of the 'Sorting Tolerant From Intolerant' (SIFT) algorithm in predicting whether an AAS affects protein function.Abstract:
The effect of genetic mutation on phenotype is of significant interest in genetics. The type of genetic mutation that causes a single amino acid substitution (AAS) in a protein sequence is called a non-synonymous single nucleotide polymorphism (nsSNP). An nsSNP could potentially affect the function of the protein, subsequently altering the carrier's phenotype. This protocol describes the use of the 'Sorting Tolerant From Intolerant' (SIFT) algorithm in predicting whether an AAS affects protein function. To assess the effect of a substitution, SIFT assumes that important positions in a protein sequence have been conserved throughout evolution and therefore substitutions at these positions may affect protein function. Thus, by using sequence homology, SIFT predicts the effects of all possible substitutions at each position in the protein sequence. The protocol typically takes 5–20 min, depending on the input. SIFT is available as an online tool (
http://sift-dna.org
).read more
Citations
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Journal ArticleDOI
Standards and guidelines for the interpretation of sequence variants: a joint consensus recommendation of the American College of Medical Genetics and Genomics and the Association for Molecular Pathology.
Sue Richards,Nazneen Aziz,Nazneen Aziz,Sherri J. Bale,David P. Bick,Soma Das,Julie M. Gastier-Foster,Wayne W. Grody,Madhuri Hegde,Elaine Lyon,Elaine B. Spector,Karl V. Voelkerding,Heidi L. Rehm +12 more
TL;DR: Because of the increased complexity of analysis and interpretation of clinical genetic testing described in this report, the ACMG strongly recommends thatclinical molecular genetic testing should be performed in a Clinical Laboratory Improvement Amendments–approved laboratory, with results interpreted by a board-certified clinical molecular geneticist or molecular genetic pathologist or the equivalent.
Journal ArticleDOI
Mutational landscape determines sensitivity to PD-1 blockade in non–small cell lung cancer
Naiyer A. Rizvi,Naiyer A. Rizvi,Matthew D. Hellmann,Matthew D. Hellmann,Alexandra Snyder,Alexandra Snyder,Pia Kvistborg,Vladimir Makarov,Jonathan J. Havel,William Lee,Jianda Yuan,Phillip Wong,Teresa S. Ho,Martin L. Miller,Natasha Rekhtman,Andre L. Moreira,Fawzia Ibrahim,Cameron Bruggeman,Billel Gasmi,Roberta Zappasodi,Yuka Maeda,Chris Sander,Edward B. Garon,Taha Merghoub,Jedd D. Wolchok,Jedd D. Wolchok,Ton N. Schumacher,Timothy A. Chan,Timothy A. Chan +28 more
TL;DR: Treatment efficacy was associated with a higher number of mutations in the tumors, and a tumor-specific T cell response paralleled tumor regression in one patient, suggesting that the genomic landscape of lung cancers shapes response to anti–PD-1 therapy.
Journal ArticleDOI
The Ensembl Variant Effect Predictor.
William M. McLaren,Laurent Gil,Sarah E. Hunt,Harpreet Singh Riat,Graham R. S. Ritchie,Anja Thormann,Paul Flicek,Fiona Cunningham +7 more
TL;DR: The Ensembl Variant Effect Predictor can simplify and accelerate variant interpretation in a wide range of study designs.
Journal ArticleDOI
Rare-Variant Association Testing for Sequencing Data with the Sequence Kernel Association Test
TL;DR: The sequence kernel association test (SKAT) is proposed, a supervised, flexible, computationally efficient regression method to test for association between genetic variants (common and rare) in a region and a continuous or dichotomous trait while easily adjusting for covariates.
Journal ArticleDOI
De novo mutations revealed by whole-exome sequencing are strongly associated with autism
Stephen Sanders,Michael T. Murtha,Abha R. Gupta,John D. Murdoch,Melanie J. Raubeson,A. Jeremy Willsey,A. Gulhan Ercan-Sencicek,Nicholas M. DiLullo,Neelroop N. Parikshak,Jason L. Stein,Michael F. Walker,Gordon T. Ober,Nicole A. Teran,Youeun Song,Paul El-Fishawy,Ryan C. Murtha,Murim Choi,John D. Overton,Robert D. Bjornson,Nicholas Carriero,Kyle A. Meyer,Kaya Bilguvar,Shrikant Mane,Nenad Sestan,Richard P. Lifton,Murat Gunel,Kathryn Roeder,Daniel H. Geschwind,Bernie Devlin,Matthew W. State +29 more
TL;DR: It is shown, using whole-exome sequencing of 928 individuals, including 200 phenotypically discordant sibling pairs, that highly disruptive (nonsense and splice-site) de novo mutations in brain-expressed genes are associated with autism spectrum disorders and carry large effects.
References
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Journal ArticleDOI
Gapped BLAST and PSI-BLAST: a new generation of protein database search programs.
Stephen F. Altschul,Thomas L. Madden,Alejandro A. Schäffer,Jinghui Zhang,Zheng Zhang,Webb Miller,David J. Lipman +6 more
TL;DR: A new criterion for triggering the extension of word hits, combined with a new heuristic for generating gapped alignments, yields a gapped BLAST program that runs at approximately three times the speed of the original.
Journal ArticleDOI
SIFT: predicting amino acid changes that affect protein function
Pauline C. Ng,Steven Henikoff +1 more
TL;DR: SIFT is a program that predicts whether an amino acid substitution affects protein function so that users can prioritize substitutions for further study and can distinguish between functionally neutral and deleterious amino acid changes in mutagenesis studies and on human polymorphisms.
Journal ArticleDOI
PANTHER: a library of protein families and subfamilies indexed by function.
Paul Thomas,Michael J. Campbell,Anish Kejariwal,Huaiyu Mi,Brian Karlak,Robin Daverman,Karen Diemer,Anushya Muruganujan,Apurva Narechania +8 more
TL;DR: The PANTHER/X ontology is used to give a high-level representation of gene function across the human and mouse genomes, and the family HMMs are used to rank missense single nucleotide polymorphisms (SNPs) according to their likelihood of affecting protein function.
Journal ArticleDOI
Predicting Deleterious Amino Acid Substitutions
Pauline C. Ng,Steven Henikoff +1 more
TL;DR: A tool that uses sequence homology to predict whether a substitution affects protein function is constructed, which may be used to identify plausible disease candidates among the SNPs that cause missense substitutions.
Journal ArticleDOI
Human non‐synonymous SNPs: server and survey
TL;DR: A World Wide Web server is presented to predict the effect of an nsSNP on protein structure and function and the dependence of selective pressure on the structural and functional properties of proteins is studied.
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