Candidate gene discovery in autoimmunity by using extreme phenotypes, next generation sequencing and whole exome capture

Whole exome sequencing (WES) is a widely used strategy for detection of protein coding and splicing variants associated with inherited diseases. Many studies have shown that the strategy has been broad and proficient due to its ability in detecting a high proportion of disease causing variants, usin...

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Tipo de recurso:
Fecha de publicación:
2015
Institución:
Universidad del Rosario
Repositorio:
Repositorio EdocUR - U. Rosario
Idioma:
eng
OAI Identifier:
oai:repository.urosario.edu.co:10336/23234
Acceso en línea:
https://doi.org/10.1016/j.autrev.2014.10.021
https://repository.urosario.edu.co/handle/10336/23234
Palabra clave:
Autoimmune disease
Autoimmunity
Bioinformatics
Exome
Gene mapping
Genetic variability
Human
Next generation sequencing
Nonhuman
Phenotype
Review
Sequence analysis
Whole exome sequencing
Dna sequence
Genomics
High throughput sequencing
Phenotype
Autoimmunity
Exome
Genomics
High-throughput nucleotide sequencing
Humans
Phenotype
Multiple autoimmune syndrome
Next generation sequencing
Polyautoimmunity
Whole exome sequencing
Whole genome sequencing
dna
Sequence analysis
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Abierto (Texto Completo)
id EDOCUR2_8363dd3eeb665bfe9ab3c029b7327469
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spelling 2a12511f-61aa-484c-b9d9-b5cbb2fb9b1819474778600c101595c-31a3-4feb-8c66-53a09a968188e6d102c0-724a-44f0-8e5d-1a234fc5fe7133bfa980-5936-412b-9843-2e6bb6c7b8a8dd0e6e99-faf8-4218-96fb-dbe329d62ab1105486106002020-05-26T00:00:31Z2020-05-26T00:00:31Z2015Whole exome sequencing (WES) is a widely used strategy for detection of protein coding and splicing variants associated with inherited diseases. Many studies have shown that the strategy has been broad and proficient due to its ability in detecting a high proportion of disease causing variants, using only a small portion of the genome. In this review we outline the main steps involved in WES, the comprehensive analysis of the massive data obtained including the genomic capture, amplification, sequencing, alignment, curating, filtering and genetic analysis to determine the presence of candidate variants with potential pathogenic/functional effect. Further, we propose that the multiple autoimmune syndrome, an extreme phenotype of autoimmune disorders, is a very well suited trait to tackle genomic variants of major effect underpinning the lost of self-tolerance. © 2014 Elsevier B.V.application/pdfhttps://doi.org/10.1016/j.autrev.2014.10.02115689972https://repository.urosario.edu.co/handle/10336/23234engElsevier209No. 3204Autoimmunity ReviewsVol. 14Autoimmunity Reviews, ISSN:15689972, Vol.14, No.3 (2015); pp. 204-209https://www.scopus.com/inward/record.uri?eid=2-s2.0-84921028038&doi=10.1016%2fj.autrev.2014.10.021&partnerID=40&md5=51c782c057f04d7c0690084ca69a3a2cAbierto (Texto Completo)http://purl.org/coar/access_right/c_abf2instname:Universidad del Rosarioreponame:Repositorio Institucional EdocURAutoimmune diseaseAutoimmunityBioinformaticsExomeGene mappingGenetic variabilityHumanNext generation sequencingNonhumanPhenotypeReviewSequence analysisWhole exome sequencingDna sequenceGenomicsHigh throughput sequencingPhenotypeAutoimmunityExomeGenomicsHigh-throughput nucleotide sequencingHumansPhenotypeMultiple autoimmune syndromeNext generation sequencingPolyautoimmunityWhole exome sequencingWhole genome sequencingdnaSequence analysisCandidate gene discovery in autoimmunity by using extreme phenotypes, next generation sequencing and whole exome capturearticleArtículohttp://purl.org/coar/version/c_970fb48d4fbd8a85http://purl.org/coar/resource_type/c_6501Johar, Angad S.Anaya, Juan-ManuelAndrews, DanPatel, Hardip R.Field, MatthewGoodnow, ChrisArcos-Burgos, MauricioORIGINALJohar_et_al_Candidate_gene_discovery_2015.pdfapplication/pdf174353https://repository.urosario.edu.co/bitstreams/c0f34a4c-0f87-4d7e-b366-d7e0d3e67b86/downloadbf13fe7c38008e9a8ea89a517149c5cfMD51TEXTJohar_et_al_Candidate_gene_discovery_2015.pdf.txtJohar_et_al_Candidate_gene_discovery_2015.pdf.txtExtracted texttext/plain27614https://repository.urosario.edu.co/bitstreams/00cf193c-1087-4e96-a909-14098ce1d7d4/downloada4697d36240e1b2bcb760ac47b624131MD52THUMBNAILJohar_et_al_Candidate_gene_discovery_2015.pdf.jpgJohar_et_al_Candidate_gene_discovery_2015.pdf.jpgGenerated Thumbnailimage/jpeg3991https://repository.urosario.edu.co/bitstreams/0fdb4e25-df2f-40ed-8651-3abecb7349bd/download04e0fdd503c87e33850273f8bdeb300eMD5310336/23234oai:repository.urosario.edu.co:10336/232342022-05-02 07:37:13.542551https://repository.urosario.edu.coRepositorio institucional EdocURedocur@urosario.edu.co
dc.title.spa.fl_str_mv Candidate gene discovery in autoimmunity by using extreme phenotypes, next generation sequencing and whole exome capture
title Candidate gene discovery in autoimmunity by using extreme phenotypes, next generation sequencing and whole exome capture
spellingShingle Candidate gene discovery in autoimmunity by using extreme phenotypes, next generation sequencing and whole exome capture
Autoimmune disease
Autoimmunity
Bioinformatics
Exome
Gene mapping
Genetic variability
Human
Next generation sequencing
Nonhuman
Phenotype
Review
Sequence analysis
Whole exome sequencing
Dna sequence
Genomics
High throughput sequencing
Phenotype
Autoimmunity
Exome
Genomics
High-throughput nucleotide sequencing
Humans
Phenotype
Multiple autoimmune syndrome
Next generation sequencing
Polyautoimmunity
Whole exome sequencing
Whole genome sequencing
dna
Sequence analysis
title_short Candidate gene discovery in autoimmunity by using extreme phenotypes, next generation sequencing and whole exome capture
title_full Candidate gene discovery in autoimmunity by using extreme phenotypes, next generation sequencing and whole exome capture
title_fullStr Candidate gene discovery in autoimmunity by using extreme phenotypes, next generation sequencing and whole exome capture
title_full_unstemmed Candidate gene discovery in autoimmunity by using extreme phenotypes, next generation sequencing and whole exome capture
title_sort Candidate gene discovery in autoimmunity by using extreme phenotypes, next generation sequencing and whole exome capture
dc.subject.keyword.spa.fl_str_mv Autoimmune disease
Autoimmunity
Bioinformatics
Exome
Gene mapping
Genetic variability
Human
Next generation sequencing
Nonhuman
Phenotype
Review
Sequence analysis
Whole exome sequencing
Dna sequence
Genomics
High throughput sequencing
Phenotype
Autoimmunity
Exome
Genomics
High-throughput nucleotide sequencing
Humans
Phenotype
Multiple autoimmune syndrome
Next generation sequencing
Polyautoimmunity
Whole exome sequencing
Whole genome sequencing
topic Autoimmune disease
Autoimmunity
Bioinformatics
Exome
Gene mapping
Genetic variability
Human
Next generation sequencing
Nonhuman
Phenotype
Review
Sequence analysis
Whole exome sequencing
Dna sequence
Genomics
High throughput sequencing
Phenotype
Autoimmunity
Exome
Genomics
High-throughput nucleotide sequencing
Humans
Phenotype
Multiple autoimmune syndrome
Next generation sequencing
Polyautoimmunity
Whole exome sequencing
Whole genome sequencing
dna
Sequence analysis
dc.subject.keyword.eng.fl_str_mv dna
Sequence analysis
description Whole exome sequencing (WES) is a widely used strategy for detection of protein coding and splicing variants associated with inherited diseases. Many studies have shown that the strategy has been broad and proficient due to its ability in detecting a high proportion of disease causing variants, using only a small portion of the genome. In this review we outline the main steps involved in WES, the comprehensive analysis of the massive data obtained including the genomic capture, amplification, sequencing, alignment, curating, filtering and genetic analysis to determine the presence of candidate variants with potential pathogenic/functional effect. Further, we propose that the multiple autoimmune syndrome, an extreme phenotype of autoimmune disorders, is a very well suited trait to tackle genomic variants of major effect underpinning the lost of self-tolerance. © 2014 Elsevier B.V.
publishDate 2015
dc.date.created.spa.fl_str_mv 2015
dc.date.accessioned.none.fl_str_mv 2020-05-26T00:00:31Z
dc.date.available.none.fl_str_mv 2020-05-26T00:00:31Z
dc.type.eng.fl_str_mv article
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dc.type.spa.spa.fl_str_mv Artículo
dc.identifier.doi.none.fl_str_mv https://doi.org/10.1016/j.autrev.2014.10.021
dc.identifier.issn.none.fl_str_mv 15689972
dc.identifier.uri.none.fl_str_mv https://repository.urosario.edu.co/handle/10336/23234
url https://doi.org/10.1016/j.autrev.2014.10.021
https://repository.urosario.edu.co/handle/10336/23234
identifier_str_mv 15689972
dc.language.iso.spa.fl_str_mv eng
language eng
dc.relation.citationEndPage.none.fl_str_mv 209
dc.relation.citationIssue.none.fl_str_mv No. 3
dc.relation.citationStartPage.none.fl_str_mv 204
dc.relation.citationTitle.none.fl_str_mv Autoimmunity Reviews
dc.relation.citationVolume.none.fl_str_mv Vol. 14
dc.relation.ispartof.spa.fl_str_mv Autoimmunity Reviews, ISSN:15689972, Vol.14, No.3 (2015); pp. 204-209
dc.relation.uri.spa.fl_str_mv https://www.scopus.com/inward/record.uri?eid=2-s2.0-84921028038&doi=10.1016%2fj.autrev.2014.10.021&partnerID=40&md5=51c782c057f04d7c0690084ca69a3a2c
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dc.rights.acceso.spa.fl_str_mv Abierto (Texto Completo)
rights_invalid_str_mv Abierto (Texto Completo)
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dc.format.mimetype.none.fl_str_mv application/pdf
dc.publisher.spa.fl_str_mv Elsevier
institution Universidad del Rosario
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