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Use of targeted exome sequencing as a diagnostic tool for Familial Hypercholesterolaemia
BACKGROUND: Familial Hypercholesterolaemia (FH) is an autosomal dominant disease, caused by mutations in LDLR, APOB or PCSK9, which results in high levels of LDL-cholesterol (LDL-C) leading to early coronary heart disease. An autosomal recessive form of FH is also known, due to homozygous mutations...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Group
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3475071/ https://www.ncbi.nlm.nih.gov/pubmed/23054246 http://dx.doi.org/10.1136/jmedgenet-2012-101189 |
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author | Futema, Marta Plagnol, Vincent Whittall, Ros A Neil, H Andrew W Humphries, Steve Eric |
author_facet | Futema, Marta Plagnol, Vincent Whittall, Ros A Neil, H Andrew W Humphries, Steve Eric |
author_sort | Futema, Marta |
collection | PubMed |
description | BACKGROUND: Familial Hypercholesterolaemia (FH) is an autosomal dominant disease, caused by mutations in LDLR, APOB or PCSK9, which results in high levels of LDL-cholesterol (LDL-C) leading to early coronary heart disease. An autosomal recessive form of FH is also known, due to homozygous mutations in LDLRAP1. This study assessed the utility of an exome capture method and deep sequencing in FH diagnosis. METHODS: Exomes of 48 definite FH patients, with no mutation detected by current methods, were captured by Agilent Human All Exon 50Mb assay and sequenced on the Illumina HiSeq 2000 platform. Variants were called by GATK and SAMtools. RESULTS: The mean coverage of FH genes varied considerably (PCSK9=23x, LDLRAP1=36x, LDLR=56x and APOB=93x). Exome sequencing detected 17 LDLR mutations, including three copy number variants, two APOB mutations, missed by the standard techniques, two LDLR novel variants likely to be FH-causing, and five APOB variants of uncertain effect. Two variants called in PCSK9 were not confirmed by Sanger sequencing. One heterozygous mutation was found in LDLRAP1. CONCLUSIONS: High-throughput DNA sequencing demonstrated its efficiency in well-covered DNA regions, in particular LDLR. This highly automated technology is proving to be effective for heterogeneous diseases and may soon replace laborious conventional methods. However, the poor coverage of gene promoters and repetitive, or GC-rich sequences, remains problematic, and validation of all identified variants is currently required. |
format | Online Article Text |
id | pubmed-3475071 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | BMJ Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-34750712012-10-18 Use of targeted exome sequencing as a diagnostic tool for Familial Hypercholesterolaemia Futema, Marta Plagnol, Vincent Whittall, Ros A Neil, H Andrew W Humphries, Steve Eric J Med Genet Methods BACKGROUND: Familial Hypercholesterolaemia (FH) is an autosomal dominant disease, caused by mutations in LDLR, APOB or PCSK9, which results in high levels of LDL-cholesterol (LDL-C) leading to early coronary heart disease. An autosomal recessive form of FH is also known, due to homozygous mutations in LDLRAP1. This study assessed the utility of an exome capture method and deep sequencing in FH diagnosis. METHODS: Exomes of 48 definite FH patients, with no mutation detected by current methods, were captured by Agilent Human All Exon 50Mb assay and sequenced on the Illumina HiSeq 2000 platform. Variants were called by GATK and SAMtools. RESULTS: The mean coverage of FH genes varied considerably (PCSK9=23x, LDLRAP1=36x, LDLR=56x and APOB=93x). Exome sequencing detected 17 LDLR mutations, including three copy number variants, two APOB mutations, missed by the standard techniques, two LDLR novel variants likely to be FH-causing, and five APOB variants of uncertain effect. Two variants called in PCSK9 were not confirmed by Sanger sequencing. One heterozygous mutation was found in LDLRAP1. CONCLUSIONS: High-throughput DNA sequencing demonstrated its efficiency in well-covered DNA regions, in particular LDLR. This highly automated technology is proving to be effective for heterogeneous diseases and may soon replace laborious conventional methods. However, the poor coverage of gene promoters and repetitive, or GC-rich sequences, remains problematic, and validation of all identified variants is currently required. BMJ Group 2012-10 /pmc/articles/PMC3475071/ /pubmed/23054246 http://dx.doi.org/10.1136/jmedgenet-2012-101189 Text en Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions This is an open-access article distributed under the terms of the Creative Commons Attribution Non-commercial License, which permits use, distribution, and reproduction in any medium, provided the original work is properly cited, the use is non commercial and is otherwise in compliance with the license. See: http://creativecommons.org/licenses/by-nc/3.0/ and http://creativecommons.org/licenses/by-nc/3.0/legalcode |
spellingShingle | Methods Futema, Marta Plagnol, Vincent Whittall, Ros A Neil, H Andrew W Humphries, Steve Eric Use of targeted exome sequencing as a diagnostic tool for Familial Hypercholesterolaemia |
title | Use of targeted exome sequencing as a diagnostic tool for Familial Hypercholesterolaemia |
title_full | Use of targeted exome sequencing as a diagnostic tool for Familial Hypercholesterolaemia |
title_fullStr | Use of targeted exome sequencing as a diagnostic tool for Familial Hypercholesterolaemia |
title_full_unstemmed | Use of targeted exome sequencing as a diagnostic tool for Familial Hypercholesterolaemia |
title_short | Use of targeted exome sequencing as a diagnostic tool for Familial Hypercholesterolaemia |
title_sort | use of targeted exome sequencing as a diagnostic tool for familial hypercholesterolaemia |
topic | Methods |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3475071/ https://www.ncbi.nlm.nih.gov/pubmed/23054246 http://dx.doi.org/10.1136/jmedgenet-2012-101189 |
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