Cargando…

Contribution of gene mutations to Silver-Russell syndrome phenotype: multigene sequencing analysis in 92 etiology-unknown patients

BACKGROUND: Silver-Russell syndrome (SRS) is characterized by growth failure and dysmorphic features. Major (epi)genetic causes of SRS are loss of methylation on chromosome 11p15 (11p15 LOM) and maternal uniparental disomy of chromosome 7 (upd(7)mat). However, IGF2, CDKN1C, HMGA2, and PLAG1 mutation...

Descripción completa

Detalles Bibliográficos
Autores principales: Inoue, Takanobu, Nakamura, Akie, Iwahashi-Odano, Megumi, Tanase-Nakao, Kanako, Matsubara, Keiko, Nishioka, Junko, Maruo, Yoshihiro, Hasegawa, Yukihiro, Suzumura, Hiroshi, Sato, Seiji, Kobayashi, Yoshiyuki, Murakami, Nobuyuki, Nakabayashi, Kazuhiko, Yamazawa, Kazuki, Fuke, Tomoko, Narumi, Satoshi, Oka, Akira, Ogata, Tsutomu, Fukami, Maki, Kagami, Masayo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7298762/
https://www.ncbi.nlm.nih.gov/pubmed/32546215
http://dx.doi.org/10.1186/s13148-020-00865-x
_version_ 1783547266096693248
author Inoue, Takanobu
Nakamura, Akie
Iwahashi-Odano, Megumi
Tanase-Nakao, Kanako
Matsubara, Keiko
Nishioka, Junko
Maruo, Yoshihiro
Hasegawa, Yukihiro
Suzumura, Hiroshi
Sato, Seiji
Kobayashi, Yoshiyuki
Murakami, Nobuyuki
Nakabayashi, Kazuhiko
Yamazawa, Kazuki
Fuke, Tomoko
Narumi, Satoshi
Oka, Akira
Ogata, Tsutomu
Fukami, Maki
Kagami, Masayo
author_facet Inoue, Takanobu
Nakamura, Akie
Iwahashi-Odano, Megumi
Tanase-Nakao, Kanako
Matsubara, Keiko
Nishioka, Junko
Maruo, Yoshihiro
Hasegawa, Yukihiro
Suzumura, Hiroshi
Sato, Seiji
Kobayashi, Yoshiyuki
Murakami, Nobuyuki
Nakabayashi, Kazuhiko
Yamazawa, Kazuki
Fuke, Tomoko
Narumi, Satoshi
Oka, Akira
Ogata, Tsutomu
Fukami, Maki
Kagami, Masayo
author_sort Inoue, Takanobu
collection PubMed
description BACKGROUND: Silver-Russell syndrome (SRS) is characterized by growth failure and dysmorphic features. Major (epi)genetic causes of SRS are loss of methylation on chromosome 11p15 (11p15 LOM) and maternal uniparental disomy of chromosome 7 (upd(7)mat). However, IGF2, CDKN1C, HMGA2, and PLAG1 mutations infrequently cause SRS. In addition, other imprinting disturbances, pathogenic copy number variations (PCNVs), and monogenic disorders sometimes lead to SRS phenotype. This study aimed to clarify the frequency and clinical features of the patients with gene mutations among etiology-unknown patients with SRS phenotype. RESULTS: Multigene sequencing was performed in 92 out of 336 patients referred to us for genetic testing for SRS. The clinical features of the patients were evaluated based on the Netchine-Harbison clinical scoring system. None of the patients showed 11p15 LOM, upd(7)mat, abnormal methylation levels for six differentially methylated regions (DMRs), namely, PLAGL1:alt-TSS-DMR on chromosome 6, KCNQ1OT1:TSS-DMR on chromosome 11, MEG3/DLK1:IG-DMR on chromosome 14, MEG3:TSS-DMR on chromosome 14, SNURF:TSS-DMR on chromosome 15, and GNAS A/B:TSS-DMR on chromosome 20, PCNVs, or maternal uniparental disomy of chromosome 16. Using next-generation sequencing and Sanger sequencing, we screened four SRS-causative genes and 406 genes related to growth failure and/or skeletal dysplasia. We identified four pathogenic or likely pathogenic variants in responsible genes for SRS (4.3%: IGF2 in two patients, CDKN1C, and PLAG1), and five pathogenic variants in causative genes for known genetic syndromes presenting with growth failure (5.4%: IGF1R abnormality (IGF1R), SHORT syndrome (PIK3R1), Floating-Harbor syndrome (SRCAP), Pitt-Hopkins syndrome (TCF4), and Noonan syndrome (PTPN11)). Functional analysis indicated the pathogenicity of the CDKN1C variant. The variants we detected in CDKN1C and PLAG1 were the second and third variants leading to SRS, respectively. Our patients with CDKN1C and PLAG1 variants showed similar phenotypes to previously reported patients. Furthermore, our data confirmed IGF1R abnormality, SHORT syndrome, and Floating-Harbor syndrome are differential diagnoses of SRS because of the shared phenotypes among these syndromes and SRS. On the other hand, the patients with pathogenic variants in causative genes for Pitt-Hopkins syndrome and Noonan syndrome were atypical of these syndromes and showed partial clinical features of SRS. CONCLUSIONS: We identified nine patients (9.8%) with pathogenic or likely pathogenic variants out of 92 etiology-unknown patients with SRS phenotype. This study expands the molecular spectrum of SRS phenotype.
format Online
Article
Text
id pubmed-7298762
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-72987622020-06-17 Contribution of gene mutations to Silver-Russell syndrome phenotype: multigene sequencing analysis in 92 etiology-unknown patients Inoue, Takanobu Nakamura, Akie Iwahashi-Odano, Megumi Tanase-Nakao, Kanako Matsubara, Keiko Nishioka, Junko Maruo, Yoshihiro Hasegawa, Yukihiro Suzumura, Hiroshi Sato, Seiji Kobayashi, Yoshiyuki Murakami, Nobuyuki Nakabayashi, Kazuhiko Yamazawa, Kazuki Fuke, Tomoko Narumi, Satoshi Oka, Akira Ogata, Tsutomu Fukami, Maki Kagami, Masayo Clin Epigenetics Research BACKGROUND: Silver-Russell syndrome (SRS) is characterized by growth failure and dysmorphic features. Major (epi)genetic causes of SRS are loss of methylation on chromosome 11p15 (11p15 LOM) and maternal uniparental disomy of chromosome 7 (upd(7)mat). However, IGF2, CDKN1C, HMGA2, and PLAG1 mutations infrequently cause SRS. In addition, other imprinting disturbances, pathogenic copy number variations (PCNVs), and monogenic disorders sometimes lead to SRS phenotype. This study aimed to clarify the frequency and clinical features of the patients with gene mutations among etiology-unknown patients with SRS phenotype. RESULTS: Multigene sequencing was performed in 92 out of 336 patients referred to us for genetic testing for SRS. The clinical features of the patients were evaluated based on the Netchine-Harbison clinical scoring system. None of the patients showed 11p15 LOM, upd(7)mat, abnormal methylation levels for six differentially methylated regions (DMRs), namely, PLAGL1:alt-TSS-DMR on chromosome 6, KCNQ1OT1:TSS-DMR on chromosome 11, MEG3/DLK1:IG-DMR on chromosome 14, MEG3:TSS-DMR on chromosome 14, SNURF:TSS-DMR on chromosome 15, and GNAS A/B:TSS-DMR on chromosome 20, PCNVs, or maternal uniparental disomy of chromosome 16. Using next-generation sequencing and Sanger sequencing, we screened four SRS-causative genes and 406 genes related to growth failure and/or skeletal dysplasia. We identified four pathogenic or likely pathogenic variants in responsible genes for SRS (4.3%: IGF2 in two patients, CDKN1C, and PLAG1), and five pathogenic variants in causative genes for known genetic syndromes presenting with growth failure (5.4%: IGF1R abnormality (IGF1R), SHORT syndrome (PIK3R1), Floating-Harbor syndrome (SRCAP), Pitt-Hopkins syndrome (TCF4), and Noonan syndrome (PTPN11)). Functional analysis indicated the pathogenicity of the CDKN1C variant. The variants we detected in CDKN1C and PLAG1 were the second and third variants leading to SRS, respectively. Our patients with CDKN1C and PLAG1 variants showed similar phenotypes to previously reported patients. Furthermore, our data confirmed IGF1R abnormality, SHORT syndrome, and Floating-Harbor syndrome are differential diagnoses of SRS because of the shared phenotypes among these syndromes and SRS. On the other hand, the patients with pathogenic variants in causative genes for Pitt-Hopkins syndrome and Noonan syndrome were atypical of these syndromes and showed partial clinical features of SRS. CONCLUSIONS: We identified nine patients (9.8%) with pathogenic or likely pathogenic variants out of 92 etiology-unknown patients with SRS phenotype. This study expands the molecular spectrum of SRS phenotype. BioMed Central 2020-06-16 /pmc/articles/PMC7298762/ /pubmed/32546215 http://dx.doi.org/10.1186/s13148-020-00865-x Text en © The Author(s) 2020 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/. The Creative Commons Public Domain Dedication waiver (http://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
Inoue, Takanobu
Nakamura, Akie
Iwahashi-Odano, Megumi
Tanase-Nakao, Kanako
Matsubara, Keiko
Nishioka, Junko
Maruo, Yoshihiro
Hasegawa, Yukihiro
Suzumura, Hiroshi
Sato, Seiji
Kobayashi, Yoshiyuki
Murakami, Nobuyuki
Nakabayashi, Kazuhiko
Yamazawa, Kazuki
Fuke, Tomoko
Narumi, Satoshi
Oka, Akira
Ogata, Tsutomu
Fukami, Maki
Kagami, Masayo
Contribution of gene mutations to Silver-Russell syndrome phenotype: multigene sequencing analysis in 92 etiology-unknown patients
title Contribution of gene mutations to Silver-Russell syndrome phenotype: multigene sequencing analysis in 92 etiology-unknown patients
title_full Contribution of gene mutations to Silver-Russell syndrome phenotype: multigene sequencing analysis in 92 etiology-unknown patients
title_fullStr Contribution of gene mutations to Silver-Russell syndrome phenotype: multigene sequencing analysis in 92 etiology-unknown patients
title_full_unstemmed Contribution of gene mutations to Silver-Russell syndrome phenotype: multigene sequencing analysis in 92 etiology-unknown patients
title_short Contribution of gene mutations to Silver-Russell syndrome phenotype: multigene sequencing analysis in 92 etiology-unknown patients
title_sort contribution of gene mutations to silver-russell syndrome phenotype: multigene sequencing analysis in 92 etiology-unknown patients
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7298762/
https://www.ncbi.nlm.nih.gov/pubmed/32546215
http://dx.doi.org/10.1186/s13148-020-00865-x
work_keys_str_mv AT inouetakanobu contributionofgenemutationstosilverrussellsyndromephenotypemultigenesequencinganalysisin92etiologyunknownpatients
AT nakamuraakie contributionofgenemutationstosilverrussellsyndromephenotypemultigenesequencinganalysisin92etiologyunknownpatients
AT iwahashiodanomegumi contributionofgenemutationstosilverrussellsyndromephenotypemultigenesequencinganalysisin92etiologyunknownpatients
AT tanasenakaokanako contributionofgenemutationstosilverrussellsyndromephenotypemultigenesequencinganalysisin92etiologyunknownpatients
AT matsubarakeiko contributionofgenemutationstosilverrussellsyndromephenotypemultigenesequencinganalysisin92etiologyunknownpatients
AT nishiokajunko contributionofgenemutationstosilverrussellsyndromephenotypemultigenesequencinganalysisin92etiologyunknownpatients
AT maruoyoshihiro contributionofgenemutationstosilverrussellsyndromephenotypemultigenesequencinganalysisin92etiologyunknownpatients
AT hasegawayukihiro contributionofgenemutationstosilverrussellsyndromephenotypemultigenesequencinganalysisin92etiologyunknownpatients
AT suzumurahiroshi contributionofgenemutationstosilverrussellsyndromephenotypemultigenesequencinganalysisin92etiologyunknownpatients
AT satoseiji contributionofgenemutationstosilverrussellsyndromephenotypemultigenesequencinganalysisin92etiologyunknownpatients
AT kobayashiyoshiyuki contributionofgenemutationstosilverrussellsyndromephenotypemultigenesequencinganalysisin92etiologyunknownpatients
AT murakaminobuyuki contributionofgenemutationstosilverrussellsyndromephenotypemultigenesequencinganalysisin92etiologyunknownpatients
AT nakabayashikazuhiko contributionofgenemutationstosilverrussellsyndromephenotypemultigenesequencinganalysisin92etiologyunknownpatients
AT yamazawakazuki contributionofgenemutationstosilverrussellsyndromephenotypemultigenesequencinganalysisin92etiologyunknownpatients
AT fuketomoko contributionofgenemutationstosilverrussellsyndromephenotypemultigenesequencinganalysisin92etiologyunknownpatients
AT narumisatoshi contributionofgenemutationstosilverrussellsyndromephenotypemultigenesequencinganalysisin92etiologyunknownpatients
AT okaakira contributionofgenemutationstosilverrussellsyndromephenotypemultigenesequencinganalysisin92etiologyunknownpatients
AT ogatatsutomu contributionofgenemutationstosilverrussellsyndromephenotypemultigenesequencinganalysisin92etiologyunknownpatients
AT fukamimaki contributionofgenemutationstosilverrussellsyndromephenotypemultigenesequencinganalysisin92etiologyunknownpatients
AT kagamimasayo contributionofgenemutationstosilverrussellsyndromephenotypemultigenesequencinganalysisin92etiologyunknownpatients