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Use of next-generation sequencing to detect LDLR gene copy number variation in familial hypercholesterolemia

Familial hypercholesterolemia (FH) is a heritable condition of severely elevated LDL cholesterol, caused predominantly by autosomal codominant mutations in the LDL receptor gene (LDLR). In providing a molecular diagnosis for FH, the current procedure often includes targeted next-generation sequencin...

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Autores principales: Iacocca, Michael A., Wang, Jian, Dron, Jacqueline S., Robinson, John F., McIntyre, Adam D., Cao, Henian, Hegele, Robert A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The American Society for Biochemistry and Molecular Biology 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5665663/
https://www.ncbi.nlm.nih.gov/pubmed/28874442
http://dx.doi.org/10.1194/jlr.D079301
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author Iacocca, Michael A.
Wang, Jian
Dron, Jacqueline S.
Robinson, John F.
McIntyre, Adam D.
Cao, Henian
Hegele, Robert A.
author_facet Iacocca, Michael A.
Wang, Jian
Dron, Jacqueline S.
Robinson, John F.
McIntyre, Adam D.
Cao, Henian
Hegele, Robert A.
author_sort Iacocca, Michael A.
collection PubMed
description Familial hypercholesterolemia (FH) is a heritable condition of severely elevated LDL cholesterol, caused predominantly by autosomal codominant mutations in the LDL receptor gene (LDLR). In providing a molecular diagnosis for FH, the current procedure often includes targeted next-generation sequencing (NGS) panels for the detection of small-scale DNA variants, followed by multiplex ligation-dependent probe amplification (MLPA) in LDLR for the detection of whole-exon copy number variants (CNVs). The latter is essential because ∼10% of FH cases are attributed to CNVs in LDLR; accounting for them decreases false negative findings. Here, we determined the potential of replacing MLPA with bioinformatic analysis applied to NGS data, which uses depth-of-coverage analysis as its principal method to identify whole-exon CNV events. In analysis of 388 FH patient samples, there was 100% concordance in LDLR CNV detection between these two methods: 38 reported CNVs identified by MLPA were also successfully detected by our NGS method, while 350 samples negative for CNVs by MLPA were also negative by NGS. This result suggests that MLPA can be removed from the routine diagnostic screening for FH, significantly reducing associated costs, resources, and analysis time, while promoting more widespread assessment of this important class of mutations across diagnostic laboratories.
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spelling pubmed-56656632017-11-03 Use of next-generation sequencing to detect LDLR gene copy number variation in familial hypercholesterolemia Iacocca, Michael A. Wang, Jian Dron, Jacqueline S. Robinson, John F. McIntyre, Adam D. Cao, Henian Hegele, Robert A. J Lipid Res Patient-Oriented and Epidemiological Research Familial hypercholesterolemia (FH) is a heritable condition of severely elevated LDL cholesterol, caused predominantly by autosomal codominant mutations in the LDL receptor gene (LDLR). In providing a molecular diagnosis for FH, the current procedure often includes targeted next-generation sequencing (NGS) panels for the detection of small-scale DNA variants, followed by multiplex ligation-dependent probe amplification (MLPA) in LDLR for the detection of whole-exon copy number variants (CNVs). The latter is essential because ∼10% of FH cases are attributed to CNVs in LDLR; accounting for them decreases false negative findings. Here, we determined the potential of replacing MLPA with bioinformatic analysis applied to NGS data, which uses depth-of-coverage analysis as its principal method to identify whole-exon CNV events. In analysis of 388 FH patient samples, there was 100% concordance in LDLR CNV detection between these two methods: 38 reported CNVs identified by MLPA were also successfully detected by our NGS method, while 350 samples negative for CNVs by MLPA were also negative by NGS. This result suggests that MLPA can be removed from the routine diagnostic screening for FH, significantly reducing associated costs, resources, and analysis time, while promoting more widespread assessment of this important class of mutations across diagnostic laboratories. The American Society for Biochemistry and Molecular Biology 2017-11 2017-09-05 /pmc/articles/PMC5665663/ /pubmed/28874442 http://dx.doi.org/10.1194/jlr.D079301 Text en Copyright © 2017 by the American Society for Biochemistry and Molecular Biology, Inc. http://creativecommons.org/licenses/by/4.0/ Author’s Choice—Final version free via Creative Commons CC-BY license.
spellingShingle Patient-Oriented and Epidemiological Research
Iacocca, Michael A.
Wang, Jian
Dron, Jacqueline S.
Robinson, John F.
McIntyre, Adam D.
Cao, Henian
Hegele, Robert A.
Use of next-generation sequencing to detect LDLR gene copy number variation in familial hypercholesterolemia
title Use of next-generation sequencing to detect LDLR gene copy number variation in familial hypercholesterolemia
title_full Use of next-generation sequencing to detect LDLR gene copy number variation in familial hypercholesterolemia
title_fullStr Use of next-generation sequencing to detect LDLR gene copy number variation in familial hypercholesterolemia
title_full_unstemmed Use of next-generation sequencing to detect LDLR gene copy number variation in familial hypercholesterolemia
title_short Use of next-generation sequencing to detect LDLR gene copy number variation in familial hypercholesterolemia
title_sort use of next-generation sequencing to detect ldlr gene copy number variation in familial hypercholesterolemia
topic Patient-Oriented and Epidemiological Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5665663/
https://www.ncbi.nlm.nih.gov/pubmed/28874442
http://dx.doi.org/10.1194/jlr.D079301
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