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Whole‐exome sequencing of ovarian cancer families uncovers putative predisposition genes

Despite the identification of several ovarian cancer (OC) predisposition genes, a large proportion of familial OC risk remains unexplained. We adopted a two‐stage design to identify new OC predisposition genes. We first carried out a large germline whole‐exome sequencing study on 158 patients from 1...

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Autores principales: Zhu, Qianqian, Zhang, Jianmin, Chen, Yanmin, Hu, Qiang, Shen, He, Huang, Ruea‐Yea, Liu, Qian, Kaur, Jasmine, Long, Mark, Battaglia, Sebastiano, Eng, Kevin H., Lele, Shashikant B., Zsiros, Emese, Villella, Jeannine, Lugade, Amit, Yao, Song, Liu, Song, Moysich, Kirsten, Odunsi, Kunle O.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley & Sons, Inc. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7065147/
https://www.ncbi.nlm.nih.gov/pubmed/31265121
http://dx.doi.org/10.1002/ijc.32545
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author Zhu, Qianqian
Zhang, Jianmin
Chen, Yanmin
Hu, Qiang
Shen, He
Huang, Ruea‐Yea
Liu, Qian
Kaur, Jasmine
Long, Mark
Battaglia, Sebastiano
Eng, Kevin H.
Lele, Shashikant B.
Zsiros, Emese
Villella, Jeannine
Lugade, Amit
Yao, Song
Liu, Song
Moysich, Kirsten
Odunsi, Kunle O.
author_facet Zhu, Qianqian
Zhang, Jianmin
Chen, Yanmin
Hu, Qiang
Shen, He
Huang, Ruea‐Yea
Liu, Qian
Kaur, Jasmine
Long, Mark
Battaglia, Sebastiano
Eng, Kevin H.
Lele, Shashikant B.
Zsiros, Emese
Villella, Jeannine
Lugade, Amit
Yao, Song
Liu, Song
Moysich, Kirsten
Odunsi, Kunle O.
author_sort Zhu, Qianqian
collection PubMed
description Despite the identification of several ovarian cancer (OC) predisposition genes, a large proportion of familial OC risk remains unexplained. We adopted a two‐stage design to identify new OC predisposition genes. We first carried out a large germline whole‐exome sequencing study on 158 patients from 140 families with significant OC history, but without evidence of genetic predisposition due to BRCA1/2. We then evaluated the potential candidate genes in a large case–control association study involving 381 OC cases in the Cancer Genome Atlas project and 27,173 population controls from the Exome Aggregation Consortium. Two new putative OC risk genes were identified, namely, ANKRD11, a putative tumor suppressor, and POLE, an enzyme involved in DNA repair and replication. These two genes likely confer moderate OC risk. We performed in vitro experiments and showed an ANKRD11 mutation identified in our patients markedly lowered the protein expression by compromising protein stability. Upon future validation and functional characterization, these genes may shed light on cancer etiology along with improving ascertainment power and preventive care of individuals at high risk of OC.
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spelling pubmed-70651472020-03-16 Whole‐exome sequencing of ovarian cancer families uncovers putative predisposition genes Zhu, Qianqian Zhang, Jianmin Chen, Yanmin Hu, Qiang Shen, He Huang, Ruea‐Yea Liu, Qian Kaur, Jasmine Long, Mark Battaglia, Sebastiano Eng, Kevin H. Lele, Shashikant B. Zsiros, Emese Villella, Jeannine Lugade, Amit Yao, Song Liu, Song Moysich, Kirsten Odunsi, Kunle O. Int J Cancer Cancer Epidemiology Despite the identification of several ovarian cancer (OC) predisposition genes, a large proportion of familial OC risk remains unexplained. We adopted a two‐stage design to identify new OC predisposition genes. We first carried out a large germline whole‐exome sequencing study on 158 patients from 140 families with significant OC history, but without evidence of genetic predisposition due to BRCA1/2. We then evaluated the potential candidate genes in a large case–control association study involving 381 OC cases in the Cancer Genome Atlas project and 27,173 population controls from the Exome Aggregation Consortium. Two new putative OC risk genes were identified, namely, ANKRD11, a putative tumor suppressor, and POLE, an enzyme involved in DNA repair and replication. These two genes likely confer moderate OC risk. We performed in vitro experiments and showed an ANKRD11 mutation identified in our patients markedly lowered the protein expression by compromising protein stability. Upon future validation and functional characterization, these genes may shed light on cancer etiology along with improving ascertainment power and preventive care of individuals at high risk of OC. John Wiley & Sons, Inc. 2019-07-16 2020-04-15 /pmc/articles/PMC7065147/ /pubmed/31265121 http://dx.doi.org/10.1002/ijc.32545 Text en © 2019 The Authors. International Journal of Cancer published by John Wiley & Sons Ltd on behalf of UICC This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.
spellingShingle Cancer Epidemiology
Zhu, Qianqian
Zhang, Jianmin
Chen, Yanmin
Hu, Qiang
Shen, He
Huang, Ruea‐Yea
Liu, Qian
Kaur, Jasmine
Long, Mark
Battaglia, Sebastiano
Eng, Kevin H.
Lele, Shashikant B.
Zsiros, Emese
Villella, Jeannine
Lugade, Amit
Yao, Song
Liu, Song
Moysich, Kirsten
Odunsi, Kunle O.
Whole‐exome sequencing of ovarian cancer families uncovers putative predisposition genes
title Whole‐exome sequencing of ovarian cancer families uncovers putative predisposition genes
title_full Whole‐exome sequencing of ovarian cancer families uncovers putative predisposition genes
title_fullStr Whole‐exome sequencing of ovarian cancer families uncovers putative predisposition genes
title_full_unstemmed Whole‐exome sequencing of ovarian cancer families uncovers putative predisposition genes
title_short Whole‐exome sequencing of ovarian cancer families uncovers putative predisposition genes
title_sort whole‐exome sequencing of ovarian cancer families uncovers putative predisposition genes
topic Cancer Epidemiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7065147/
https://www.ncbi.nlm.nih.gov/pubmed/31265121
http://dx.doi.org/10.1002/ijc.32545
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