南方科技大学知识苑(SUSTech KC): Identification of novel genes for triple-negative breast cancer with semiparametric gene-based analysis

题名	Identification of novel genes for triple-negative breast cancer with semiparametric gene-based analysis
作者	Liu，Xiaotong 1; Tian，Guoliang1 ; Liu，Zhenqiu 2
通讯作者	Liu，Zhenqiu
发表日期	2021
DOI	10.1080/02664763.2021.1973387
发表期刊	JOURNAL OF APPLIED STATISTICS 影响因子和分区
ISSN	0266-4763
EISSN	1360-0532
摘要	Triple-negative breast cancer (TNBC) is generally considered an aggressive breast cancer subtype associated with poor prognostic outcomes. Up to now, the molecular and cellular mechanisms underlying TNBC pathology have not been fully understood. In this manuscript, we propose a novel semiparametric model with kernel for gene-based analysis with a breast cancer GWAS data. The software of SPMGBA (semiparametric method for gene-based analysis) in MATLAB is available at GitHub (https://github.com/zliu3/SPMGBA). Genetic signatures associated with breast cancer are discovered. We further validate the prognostic power of the identified genes with a large cohort of expression data from the European Genome-Phenome Archive, and discover that SEL1L is associated with the overall survival of TNBC with the p-value of.0002. We conclude that gene SEL1L is down-regulated in TNBC and the expression of SEL1L is positively associated with patient survival.
关键词	gene-based analysis genome-wide association studies semiparametric modeling SNPs survival analysis Triple-negative breast cancer
相关链接	[Scopus记录]
收录类别	SCI
语种	英语
学校署名	第一
WOS记录号	WOS:000695172200001
ESI学科分类	MATHEMATICS
Scopus记录号	2-s2.0-85114861610
来源库	Scopus
引用统计	被引频次[WOS]：1
成果类型	期刊论文
条目标识符	http://sustech.caswiz.com/handle/2SGJ60CL/245968
专题	理学院_统计与数据科学系
作者单位	1.Department of Statistics and Data Science,Southern University of Science and Technology,Shenzhen,China 2.Department of Public Health Sciences,Pennsylvania State University,Hershey,United States
第一作者单位	统计与数据科学系
第一作者的第一单位	统计与数据科学系
推荐引用方式 GB/T 7714	Liu，Xiaotong,Tian，Guoliang,Liu，Zhenqiu. Identification of novel genes for triple-negative breast cancer with semiparametric gene-based analysis[J]. JOURNAL OF APPLIED STATISTICS,2021.
APA	Liu，Xiaotong,Tian，Guoliang,&Liu，Zhenqiu.(2021).Identification of novel genes for triple-negative breast cancer with semiparametric gene-based analysis.JOURNAL OF APPLIED STATISTICS.
MLA	Liu，Xiaotong,et al."Identification of novel genes for triple-negative breast cancer with semiparametric gene-based analysis".JOURNAL OF APPLIED STATISTICS (2021).