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exomeSuite: Whole exome sequence variant filtering tool for rapid identification of putative disease causing SNVs/indels.
Maranhao, B; Biswas, P; Duncan, J L; Branham, K E; Silva, G A; Naeem, M A; Khan, S N; Riazuddin, S; Hejtmancik, J F; Heckenlively, J R; Riazuddin, S A; Lee, P L; Ayyagari, R.
Afiliação
  • Maranhao B; Department of Ophthalmology, University of California, San Diego, UC Jacobs Retina Center, 9415 Campus Point Drive, La Jolla, CA 92037-0946, USA; Department of Bioengineering, University of California, San Diego, 9500 Gilman Drive, La Jolla, CA 92093, USA. Electronic address: bmaranha@ucsd.edu.
  • Biswas P; Department of Ophthalmology, University of California, San Diego, UC Jacobs Retina Center, 9415 Campus Point Drive, La Jolla, CA 92037-0946, USA. Electronic address: pbiswas@ucsd.edu.
  • Duncan JL; Department of Ophthalmology, University of California San Francisco, San Francisco, CA 94143, USA. Electronic address: duncanj@vision.ucsf.edu.
  • Branham KE; Department of Ophthalmology and Visual Sciences, University of Michigan Medical School, Ann Arbor, MI 48109, USA. Electronic address: haag@med.umich.edu.
  • Silva GA; Department of Ophthalmology, University of California, San Diego, UC Jacobs Retina Center, 9415 Campus Point Drive, La Jolla, CA 92037-0946, USA; Department of Bioengineering, University of California, San Diego, 9500 Gilman Drive, La Jolla, CA 92093, USA; Neurosciences Graduate Program, University
  • Naeem MA; National Centre of Excellence in Molecular Biology, University of the Punjab, Lahore, Pakistan.
  • Khan SN; National Centre of Excellence in Molecular Biology, University of the Punjab, Lahore, Pakistan.
  • Riazuddin S; National Centre of Excellence in Molecular Biology, University of the Punjab, Lahore, Pakistan.
  • Hejtmancik JF; Ophthalmic Genetics and Visual Function Branch, National Institutes of Health, Bethesda, MD 20892, USA. Electronic address: f3h@helix.nih.gov.
  • Heckenlively JR; Department of Ophthalmology and Visual Sciences, University of Michigan Medical School, Ann Arbor, MI 48109, USA. Electronic address: jrheck@umich.edu.
  • Riazuddin SA; National Centre of Excellence in Molecular Biology, University of the Punjab, Lahore, Pakistan; The Wilmer Eye Institute, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA.
  • Lee PL; Department of Ophthalmology, University of California, San Diego, UC Jacobs Retina Center, 9415 Campus Point Drive, La Jolla, CA 92037-0946, USA. Electronic address: plee@scripps.edu.
  • Ayyagari R; Department of Ophthalmology, University of California, San Diego, UC Jacobs Retina Center, 9415 Campus Point Drive, La Jolla, CA 92037-0946, USA. Electronic address: rayyagari@ucsd.edu.
Genomics ; 103(2-3): 169-76, 2014.
Article em En | MEDLINE | ID: mdl-24603341
Exome and whole-genome analyses powered by next-generation sequencing (NGS) have become invaluable tools in identifying causal mutations responsible for Mendelian disorders. Given that individual exomes contain several thousand single nucleotide variants and insertions/deletions, it remains a challenge to analyze large numbers of variants from multiple exomes to identify causal alleles associated with inherited conditions. To this end, we have developed user-friendly software that analyzes variant calls from multiple individuals to facilitate identification of causal mutations. The software, termed exomeSuite, filters for putative causative variants of monogenic diseases inherited in one of three forms: dominant, recessive caused by a homozygous variant, or recessive caused by two compound heterozygous variants. In addition, exomeSuite can perform homozygosity mapping and analyze the variant data of multiple unrelated individuals. Here we demonstrate that filtering of variants with exomeSuite reduces datasets to a fraction of a percent of their original size. To the best of our knowledge this is the first freely available software developed to analyze variant data from multiple individuals that rapidly assimilates and filters large data sets based on pattern of inheritance.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Software / Polimorfismo de Nucleotídeo Único / Mutação INDEL / Exoma / Conjuntos de Dados como Assunto / Doenças Genéticas Inatas Tipo de estudo: Diagnostic_studies Limite: Female / Humans / Male Idioma: En Revista: Genomics Assunto da revista: GENETICA Ano de publicação: 2014 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Software / Polimorfismo de Nucleotídeo Único / Mutação INDEL / Exoma / Conjuntos de Dados como Assunto / Doenças Genéticas Inatas Tipo de estudo: Diagnostic_studies Limite: Female / Humans / Male Idioma: En Revista: Genomics Assunto da revista: GENETICA Ano de publicação: 2014 Tipo de documento: Article