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OMIC-12. PREVALENCE AND SPECTRUM OF GERMLINE PATHOGENIC VARIANTS IN CANCER PREDISPOSITION GENES ACROSS THE CHILDREN’S BRAIN TUMOR NETWORK (CBTN)
Germline variants are known to contribute to the pathogenesis of specific central nervous system (CNS) tumor subtypes; however, a large pan-pediatric brain and nervous system cancer germline susceptibility study has not been performed. To define the prevalence and spectrum of pathogenic variants in...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8168125/ http://dx.doi.org/10.1093/neuonc/noab090.159 |
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author | Vaksman, Zalman McQuaid, Shelly Bornhorst, Miriam Zhu, Yuankun Heath, Allison Waanders, Angela Cole, Kristina MacFarland, Suzanne Diskin, Sharon |
author_facet | Vaksman, Zalman McQuaid, Shelly Bornhorst, Miriam Zhu, Yuankun Heath, Allison Waanders, Angela Cole, Kristina MacFarland, Suzanne Diskin, Sharon |
author_sort | Vaksman, Zalman |
collection | PubMed |
description | Germline variants are known to contribute to the pathogenesis of specific central nervous system (CNS) tumor subtypes; however, a large pan-pediatric brain and nervous system cancer germline susceptibility study has not been performed. To define the prevalence and spectrum of pathogenic variants in known cancer predisposition genes (CPGs; n=200), we analyzed whole genome sequencing (WGS) data from 880 pediatric subjects across 19 different cancer types in the Children’s Brain Tumor Network (CTBN). Data were aligned using BWA. Variants were called using GATK and annotated with SnpEff and ANNOVAR. After quality control, variants with a minor allele frequency (MAF) < 0.1% in Gnomad 2.11 or ExAC were retained. Pathogenicity was assessed with American College of Medical Genetics (ACMG) guidelines using a lab-developed modification of ClinVar and InterVar. Automated pathogenic/likely pathogenic (P-LP) calls were manually reviewed by two cancer predisposition clinicians and a bioinformatician. Frequency of P-LP variants was assessed and gene burden testing was performed against Gnomad3.1 (without cancer samples) using Fisher’s exact test with Bonferroni adjustment. We observed 214 P-LP variants involving 190 unique individuals (21.6% of cohort). As expected, the most frequent variants were observed in NF1, NF2, and TP53(n=40 variants in 21% of individuals). ATM, TSC2 and CHEK2 variants (n=23) were observed in another 12% of individuals. An increased burden of P-LP variants was observed for 5 of these 6 genes (p = 1.7x10(-25) to 1.4x10(-2), CHEK2 p=5.5x10(-2)). We also identified 5 variants in BRCA2 (3 in high-grade glioma), 7 in REQC helicases (BLM, WRN, REQL4), and 16 variants in Fanconi anemia genes. Overall, cases harbored increased burden in P-LP variants in CPG genes (p=8.8x(-18)) and the subset of DNA repair genes (p=4.7x10(-4)). In conclusion we confirmed the association of variants in established predisposition genes while potentially identifying novel variants and genes associated in CNS tumors. |
format | Online Article Text |
id | pubmed-8168125 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-81681252021-06-02 OMIC-12. PREVALENCE AND SPECTRUM OF GERMLINE PATHOGENIC VARIANTS IN CANCER PREDISPOSITION GENES ACROSS THE CHILDREN’S BRAIN TUMOR NETWORK (CBTN) Vaksman, Zalman McQuaid, Shelly Bornhorst, Miriam Zhu, Yuankun Heath, Allison Waanders, Angela Cole, Kristina MacFarland, Suzanne Diskin, Sharon Neuro Oncol Omics Germline variants are known to contribute to the pathogenesis of specific central nervous system (CNS) tumor subtypes; however, a large pan-pediatric brain and nervous system cancer germline susceptibility study has not been performed. To define the prevalence and spectrum of pathogenic variants in known cancer predisposition genes (CPGs; n=200), we analyzed whole genome sequencing (WGS) data from 880 pediatric subjects across 19 different cancer types in the Children’s Brain Tumor Network (CTBN). Data were aligned using BWA. Variants were called using GATK and annotated with SnpEff and ANNOVAR. After quality control, variants with a minor allele frequency (MAF) < 0.1% in Gnomad 2.11 or ExAC were retained. Pathogenicity was assessed with American College of Medical Genetics (ACMG) guidelines using a lab-developed modification of ClinVar and InterVar. Automated pathogenic/likely pathogenic (P-LP) calls were manually reviewed by two cancer predisposition clinicians and a bioinformatician. Frequency of P-LP variants was assessed and gene burden testing was performed against Gnomad3.1 (without cancer samples) using Fisher’s exact test with Bonferroni adjustment. We observed 214 P-LP variants involving 190 unique individuals (21.6% of cohort). As expected, the most frequent variants were observed in NF1, NF2, and TP53(n=40 variants in 21% of individuals). ATM, TSC2 and CHEK2 variants (n=23) were observed in another 12% of individuals. An increased burden of P-LP variants was observed for 5 of these 6 genes (p = 1.7x10(-25) to 1.4x10(-2), CHEK2 p=5.5x10(-2)). We also identified 5 variants in BRCA2 (3 in high-grade glioma), 7 in REQC helicases (BLM, WRN, REQL4), and 16 variants in Fanconi anemia genes. Overall, cases harbored increased burden in P-LP variants in CPG genes (p=8.8x(-18)) and the subset of DNA repair genes (p=4.7x10(-4)). In conclusion we confirmed the association of variants in established predisposition genes while potentially identifying novel variants and genes associated in CNS tumors. Oxford University Press 2021-06-01 /pmc/articles/PMC8168125/ http://dx.doi.org/10.1093/neuonc/noab090.159 Text en © The Author(s) 2021. Published by Oxford University Press on behalf of the Society for Neuro-Oncology. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) ), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Omics Vaksman, Zalman McQuaid, Shelly Bornhorst, Miriam Zhu, Yuankun Heath, Allison Waanders, Angela Cole, Kristina MacFarland, Suzanne Diskin, Sharon OMIC-12. PREVALENCE AND SPECTRUM OF GERMLINE PATHOGENIC VARIANTS IN CANCER PREDISPOSITION GENES ACROSS THE CHILDREN’S BRAIN TUMOR NETWORK (CBTN) |
title | OMIC-12. PREVALENCE AND SPECTRUM OF GERMLINE PATHOGENIC VARIANTS IN CANCER PREDISPOSITION GENES ACROSS THE CHILDREN’S BRAIN TUMOR NETWORK (CBTN) |
title_full | OMIC-12. PREVALENCE AND SPECTRUM OF GERMLINE PATHOGENIC VARIANTS IN CANCER PREDISPOSITION GENES ACROSS THE CHILDREN’S BRAIN TUMOR NETWORK (CBTN) |
title_fullStr | OMIC-12. PREVALENCE AND SPECTRUM OF GERMLINE PATHOGENIC VARIANTS IN CANCER PREDISPOSITION GENES ACROSS THE CHILDREN’S BRAIN TUMOR NETWORK (CBTN) |
title_full_unstemmed | OMIC-12. PREVALENCE AND SPECTRUM OF GERMLINE PATHOGENIC VARIANTS IN CANCER PREDISPOSITION GENES ACROSS THE CHILDREN’S BRAIN TUMOR NETWORK (CBTN) |
title_short | OMIC-12. PREVALENCE AND SPECTRUM OF GERMLINE PATHOGENIC VARIANTS IN CANCER PREDISPOSITION GENES ACROSS THE CHILDREN’S BRAIN TUMOR NETWORK (CBTN) |
title_sort | omic-12. prevalence and spectrum of germline pathogenic variants in cancer predisposition genes across the children’s brain tumor network (cbtn) |
topic | Omics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8168125/ http://dx.doi.org/10.1093/neuonc/noab090.159 |
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