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Identification of recurrent variants implicated in disease in bicuspid aortic valve patients through whole-exome sequencing

Bicuspid aortic valve (BAV) is the most common congenital heart defect in human beings, with an estimated prevalence in the general population of between 0.5 and 2%. Moreover, BAV is the most common cause of aortic stenosis in the pediatric population. Patients with BAV may have no symptoms for life...

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Autores principales: Chen, Shasha, Jin, Qinchun, Hou, Shiqiang, Li, Mingfei, Zhang, Yuan, Guan, Lihua, Pan, Wenzhi, Ge, Junbo, Zhou, Daxin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9450445/
https://www.ncbi.nlm.nih.gov/pubmed/36071494
http://dx.doi.org/10.1186/s40246-022-00405-z
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author Chen, Shasha
Jin, Qinchun
Hou, Shiqiang
Li, Mingfei
Zhang, Yuan
Guan, Lihua
Pan, Wenzhi
Ge, Junbo
Zhou, Daxin
author_facet Chen, Shasha
Jin, Qinchun
Hou, Shiqiang
Li, Mingfei
Zhang, Yuan
Guan, Lihua
Pan, Wenzhi
Ge, Junbo
Zhou, Daxin
author_sort Chen, Shasha
collection PubMed
description Bicuspid aortic valve (BAV) is the most common congenital heart defect in human beings, with an estimated prevalence in the general population of between 0.5 and 2%. Moreover, BAV is the most common cause of aortic stenosis in the pediatric population. Patients with BAV may have no symptoms for life, and some of them may progress to aortic stenosis. Genetic factors increase the susceptibility and development of BAV. However, the pathogenesis and BAV are still unclear, and more genetic variants are still needed for elucidating the molecular mechanism and stratification of patients. The present study carried out screening of variants implicated in disease in BAV patients. The whole-exome sequencing (WES) was performed in 20 BAV patients and identified 40 different heterozygous missense mutations in 36 genes (MIB2, FAAH, S100A1, RGS16, MAP3K19, NEB, TTN, TNS1, CAND2, CCK, KALRN, ATP10D, SLIT3, ROS1, FABP7, NUP205, IL11RA, NPR2, COL5A1, CUBN, JMJD1C, ANXA7, TRIM8, LGR4, TPCN2, APOA5, GPR84, LRP1, NCOR2, AKAP11, ESRRB, NGB, AKAP13, WWOX, KCNJ12, ARHGEF1). The mutations in these genes were identified as recurrent variants implicated in disease by in silico prediction tool analysis. Nine genes (MIB2, S100A1, TTN, CCK, NUP205, LGR4, NCOR2, ESRRB, and WWOX) among the 36 genes were identified as variants implicated in disease via unanimous agreement of in silico prediction tool analysis and sequenced in an independent cohort of 137 BAV patients to validate the results of WES. BAV patients carrying these variants demonstrated reduced left ventricular ejection fractions (LVEF) (63.8 ± 7.5% vs. 58.4 ± 5.2%, P < 0.001) and larger calcification volume [(1129.3 ± 154) mm(3) vs. (1261.8 ± 123) mm(3), P < 0.001]. The variants in TTN, NUP205 and NCOR2 genes are significantly associated with reduced LVEF, and the variants in S100A1, LGR4, ESRRB, and WWOX genes are significantly associated with larger calcification volume. We identified a panel of recurrent variants implicated in disease in genes related to the pathogenesis of BAV. Our data speculate that these variants are promising markers for risk stratification of BAV patients with increased susceptibility to aortic stenosis.
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spelling pubmed-94504452022-09-08 Identification of recurrent variants implicated in disease in bicuspid aortic valve patients through whole-exome sequencing Chen, Shasha Jin, Qinchun Hou, Shiqiang Li, Mingfei Zhang, Yuan Guan, Lihua Pan, Wenzhi Ge, Junbo Zhou, Daxin Hum Genomics Research Bicuspid aortic valve (BAV) is the most common congenital heart defect in human beings, with an estimated prevalence in the general population of between 0.5 and 2%. Moreover, BAV is the most common cause of aortic stenosis in the pediatric population. Patients with BAV may have no symptoms for life, and some of them may progress to aortic stenosis. Genetic factors increase the susceptibility and development of BAV. However, the pathogenesis and BAV are still unclear, and more genetic variants are still needed for elucidating the molecular mechanism and stratification of patients. The present study carried out screening of variants implicated in disease in BAV patients. The whole-exome sequencing (WES) was performed in 20 BAV patients and identified 40 different heterozygous missense mutations in 36 genes (MIB2, FAAH, S100A1, RGS16, MAP3K19, NEB, TTN, TNS1, CAND2, CCK, KALRN, ATP10D, SLIT3, ROS1, FABP7, NUP205, IL11RA, NPR2, COL5A1, CUBN, JMJD1C, ANXA7, TRIM8, LGR4, TPCN2, APOA5, GPR84, LRP1, NCOR2, AKAP11, ESRRB, NGB, AKAP13, WWOX, KCNJ12, ARHGEF1). The mutations in these genes were identified as recurrent variants implicated in disease by in silico prediction tool analysis. Nine genes (MIB2, S100A1, TTN, CCK, NUP205, LGR4, NCOR2, ESRRB, and WWOX) among the 36 genes were identified as variants implicated in disease via unanimous agreement of in silico prediction tool analysis and sequenced in an independent cohort of 137 BAV patients to validate the results of WES. BAV patients carrying these variants demonstrated reduced left ventricular ejection fractions (LVEF) (63.8 ± 7.5% vs. 58.4 ± 5.2%, P < 0.001) and larger calcification volume [(1129.3 ± 154) mm(3) vs. (1261.8 ± 123) mm(3), P < 0.001]. The variants in TTN, NUP205 and NCOR2 genes are significantly associated with reduced LVEF, and the variants in S100A1, LGR4, ESRRB, and WWOX genes are significantly associated with larger calcification volume. We identified a panel of recurrent variants implicated in disease in genes related to the pathogenesis of BAV. Our data speculate that these variants are promising markers for risk stratification of BAV patients with increased susceptibility to aortic stenosis. BioMed Central 2022-09-07 /pmc/articles/PMC9450445/ /pubmed/36071494 http://dx.doi.org/10.1186/s40246-022-00405-z Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Chen, Shasha
Jin, Qinchun
Hou, Shiqiang
Li, Mingfei
Zhang, Yuan
Guan, Lihua
Pan, Wenzhi
Ge, Junbo
Zhou, Daxin
Identification of recurrent variants implicated in disease in bicuspid aortic valve patients through whole-exome sequencing
title Identification of recurrent variants implicated in disease in bicuspid aortic valve patients through whole-exome sequencing
title_full Identification of recurrent variants implicated in disease in bicuspid aortic valve patients through whole-exome sequencing
title_fullStr Identification of recurrent variants implicated in disease in bicuspid aortic valve patients through whole-exome sequencing
title_full_unstemmed Identification of recurrent variants implicated in disease in bicuspid aortic valve patients through whole-exome sequencing
title_short Identification of recurrent variants implicated in disease in bicuspid aortic valve patients through whole-exome sequencing
title_sort identification of recurrent variants implicated in disease in bicuspid aortic valve patients through whole-exome sequencing
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9450445/
https://www.ncbi.nlm.nih.gov/pubmed/36071494
http://dx.doi.org/10.1186/s40246-022-00405-z
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