Literature DB >> 22290570

VAR-MD: a tool to analyze whole exome-genome variants in small human pedigrees with mendelian inheritance.

Murat Sincan1, Dimitre R Simeonov, David Adams, Thomas C Markello, Tyler M Pierson, Camilo Toro, William A Gahl, Cornelius F Boerkoel.   

Abstract

The analysis of variants generated by exome sequencing (ES) of families with rare Mendelian diseases is a time-consuming, manual process that represents one barrier to applying the technology routinely. To address this issue, we have developed a software tool, VAR-MD (http://research.nhgri.nih.gov/software/var-md/), for analyzing the DNA sequence variants produced by human ES. VAR-MD generates a ranked list of variants using predicted pathogenicity, Mendelian inheritance models, genotype quality, and population variant frequency data. VAR-MD was tested using two previously solved data sets and one unsolved data set. In the solved cases, the correct variant was listed at the top of VAR-MD's variant ranking. In the unsolved case, the correct variant was highly ranked, allowing for subsequent identification and validation. We conclude that VAR-MD has the potential to enhance mutation identification using family based, annotated next generation sequencing data. Moreover, we predict an incremental advancement in software performance as the reference databases, such as Single Nucleotide Polymorphism Database and Human Gene Mutation Database, continue to improve.
© 2012 Wiley Periodicals, Inc.

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Year:  2012        PMID: 22290570     DOI: 10.1002/humu.22034

Source DB:  PubMed          Journal:  Hum Mutat        ISSN: 1059-7794            Impact factor:   4.878


  19 in total

1.  Exome-based mapping and variant prioritization for inherited Mendelian disorders.

Authors:  Daniel C Koboldt; David E Larson; Lori S Sullivan; Sara J Bowne; Karyn M Steinberg; Jennifer D Churchill; Aimee C Buhr; Nathan Nutter; Eric A Pierce; Susan H Blanton; George M Weinstock; Richard K Wilson; Stephen P Daiger
Journal:  Am J Hum Genet       Date:  2014-02-20       Impact factor: 11.025

2.  Enhancing the incidental pipeline in genomic sequencing.

Authors:  B D Solomon
Journal:  Mol Syndromol       Date:  2014-01-23

Review 3.  Integrated Genomic Medicine: A Paradigm for Rare Diseases and Beyond.

Authors:  N J Schork; K Nazor
Journal:  Adv Genet       Date:  2017-07-25       Impact factor: 1.944

4.  Analysis of DNA sequence variants detected by high-throughput sequencing.

Authors:  David R Adams; Murat Sincan; Karin Fuentes Fajardo; James C Mullikin; Tyler M Pierson; Camilo Toro; Cornelius F Boerkoel; Cynthia J Tifft; William A Gahl; Tom C Markello
Journal:  Hum Mutat       Date:  2012-02-28       Impact factor: 4.878

Review 5.  Lysosomal diseases: diagnostic update.

Authors:  Bryan Winchester
Journal:  J Inherit Metab Dis       Date:  2014-04-08       Impact factor: 4.982

6.  Annotate-it: a Swiss-knife approach to annotation, analysis and interpretation of single nucleotide variation in human disease.

Authors:  Alejandro Sifrim; Jeroen Kj Van Houdt; Leon-Charles Tranchevent; Beata Nowakowska; Ryo Sakai; Georgios A Pavlopoulos; Koen Devriendt; Joris R Vermeesch; Yves Moreau; Jan Aerts
Journal:  Genome Med       Date:  2012-09-26       Impact factor: 11.117

7.  Recurrent subacute post-viral onset of ataxia associated with a PRF1 mutation.

Authors:  Cristina Dias; Allison McDonald; Murat Sincan; Rosemarie Rupps; Thomas Markello; Ramona Salvarinova; Rui F Santos; Kamal Menghrajani; Chidi Ahaghotu; Darren P Sutherland; Edgardo S Fortuno; Tobias R Kollmann; Michelle Demos; Jan M Friedman; David P Speert; William A Gahl; Cornelius F Boerkoel
Journal:  Eur J Hum Genet       Date:  2013-02-27       Impact factor: 4.246

8.  PERCH: A Unified Framework for Disease Gene Prioritization.

Authors:  Bing-Jian Feng
Journal:  Hum Mutat       Date:  2017-01-28       Impact factor: 4.878

9.  Exome-assistant: a rapid and easy detection of disease-related genes and genetic variations from exome sequencing.

Authors:  Qi Liu; Enjian Shen; Qingjie Min; Xueying Li; Xin Wang; Xianfeng Li; Zhong Sheng Sun; Jinyu Wu
Journal:  BMC Genomics       Date:  2012-12-11       Impact factor: 3.969

10.  EVA: Exome Variation Analyzer, an efficient and versatile tool for filtering strategies in medical genomics.

Authors:  Sophie Coutant; Chloé Cabot; Arnaud Lefebvre; Martine Léonard; Elise Prieur-Gaston; Dominique Campion; Thierry Lecroq; Hélène Dauchel
Journal:  BMC Bioinformatics       Date:  2012-09-07       Impact factor: 3.169

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