Exome-wide analysis identifies three low-frequency missense variants associated with pancreatic cancer risk in Chinese populations

Pancreatic ductal adenocarcinoma is a lethal human cancer with a poor 5-year overall survival rate. Here the authors perform an exome-wide analysis in a cohort of PDAC patients to identify three novel missense variants in PKN1, DOK2, and APOB genes, that are associated with PDAC risk.

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Autores principales: Jiang Chang, Jianbo Tian, Ying Zhu, Rong Zhong, Kan Zhai, Jiaoyuan Li, Juntao Ke, QiangQiang Han, Jiao Lou, Wei Chen, Beibei Zhu, Na Shen, Yi Zhang, Yajie Gong, Yang Yang, Danyi Zou, Xiating Peng, Zhi Zhang, Xuemei Zhang, Kun Huang, Ming Yang, Li Wang, Chen Wu, Dongxin Lin, Xiaoping Miao
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Lenguaje:EN
Publicado: Nature Portfolio 2018
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Acceso en línea:https://doaj.org/article/36b3c87cab784348903098fb5a6810b2
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spelling oai:doaj.org-article:36b3c87cab784348903098fb5a6810b22021-12-02T15:34:29ZExome-wide analysis identifies three low-frequency missense variants associated with pancreatic cancer risk in Chinese populations10.1038/s41467-018-06136-x2041-1723https://doaj.org/article/36b3c87cab784348903098fb5a6810b22018-09-01T00:00:00Zhttps://doi.org/10.1038/s41467-018-06136-xhttps://doaj.org/toc/2041-1723Pancreatic ductal adenocarcinoma is a lethal human cancer with a poor 5-year overall survival rate. Here the authors perform an exome-wide analysis in a cohort of PDAC patients to identify three novel missense variants in PKN1, DOK2, and APOB genes, that are associated with PDAC risk.Jiang ChangJianbo TianYing ZhuRong ZhongKan ZhaiJiaoyuan LiJuntao KeQiangQiang HanJiao LouWei ChenBeibei ZhuNa ShenYi ZhangYajie GongYang YangDanyi ZouXiating PengZhi ZhangXuemei ZhangKun HuangMing YangLi WangChen WuDongxin LinXiaoping MiaoNature PortfolioarticleScienceQENNature Communications, Vol 9, Iss 1, Pp 1-8 (2018)
institution DOAJ
collection DOAJ
language EN
topic Science
Q
spellingShingle Science
Q
Jiang Chang
Jianbo Tian
Ying Zhu
Rong Zhong
Kan Zhai
Jiaoyuan Li
Juntao Ke
QiangQiang Han
Jiao Lou
Wei Chen
Beibei Zhu
Na Shen
Yi Zhang
Yajie Gong
Yang Yang
Danyi Zou
Xiating Peng
Zhi Zhang
Xuemei Zhang
Kun Huang
Ming Yang
Li Wang
Chen Wu
Dongxin Lin
Xiaoping Miao
Exome-wide analysis identifies three low-frequency missense variants associated with pancreatic cancer risk in Chinese populations
description Pancreatic ductal adenocarcinoma is a lethal human cancer with a poor 5-year overall survival rate. Here the authors perform an exome-wide analysis in a cohort of PDAC patients to identify three novel missense variants in PKN1, DOK2, and APOB genes, that are associated with PDAC risk.
format article
author Jiang Chang
Jianbo Tian
Ying Zhu
Rong Zhong
Kan Zhai
Jiaoyuan Li
Juntao Ke
QiangQiang Han
Jiao Lou
Wei Chen
Beibei Zhu
Na Shen
Yi Zhang
Yajie Gong
Yang Yang
Danyi Zou
Xiating Peng
Zhi Zhang
Xuemei Zhang
Kun Huang
Ming Yang
Li Wang
Chen Wu
Dongxin Lin
Xiaoping Miao
author_facet Jiang Chang
Jianbo Tian
Ying Zhu
Rong Zhong
Kan Zhai
Jiaoyuan Li
Juntao Ke
QiangQiang Han
Jiao Lou
Wei Chen
Beibei Zhu
Na Shen
Yi Zhang
Yajie Gong
Yang Yang
Danyi Zou
Xiating Peng
Zhi Zhang
Xuemei Zhang
Kun Huang
Ming Yang
Li Wang
Chen Wu
Dongxin Lin
Xiaoping Miao
author_sort Jiang Chang
title Exome-wide analysis identifies three low-frequency missense variants associated with pancreatic cancer risk in Chinese populations
title_short Exome-wide analysis identifies three low-frequency missense variants associated with pancreatic cancer risk in Chinese populations
title_full Exome-wide analysis identifies three low-frequency missense variants associated with pancreatic cancer risk in Chinese populations
title_fullStr Exome-wide analysis identifies three low-frequency missense variants associated with pancreatic cancer risk in Chinese populations
title_full_unstemmed Exome-wide analysis identifies three low-frequency missense variants associated with pancreatic cancer risk in Chinese populations
title_sort exome-wide analysis identifies three low-frequency missense variants associated with pancreatic cancer risk in chinese populations
publisher Nature Portfolio
publishDate 2018
url https://doaj.org/article/36b3c87cab784348903098fb5a6810b2
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