Literature DB >> 32048005

GWAS in cancer: progress and challenges.

Baiqiang Liang1,2,3, Hongrong Ding2,4, Lianfang Huang1,2, Haiqing Luo5, Xiao Zhu6,7,8.   

Abstract

The genome-wide association study (GWAS) is an effective method to detect single-nucleotide polymorphisms (SNPs) of multiple individual genes based on linkage disequilibrium (LD). GWAS examines genotypes and distinguishing gene characteristics that are exhibited in diseases. In the past few decades, more and more literature has reported the results of applying GWAS to study tumors. Although many pleiotropic loci associated with complex phenotypes have been identified by GWAS, the biological functions of many genetic variation loci remain unclear, and the genetic mechanisms of most complex phenotypes cannot be systematically explained. In this article, we will review the new findings of several tumor types, and categorize the new sites and mechanisms that have recently been discovered. We linked the mechanisms of action of various tumors and searched for links to related gene expression pathways. We found that susceptible sites can be divided into hub genes and peripheral genes; the two interact to link gene expression in a variety of diseases.

Entities:  

Keywords:  Cancer; GWAS; Genotype; Review; SNPs; Susceptible gene

Mesh:

Substances:

Year:  2020        PMID: 32048005     DOI: 10.1007/s00438-020-01647-z

Source DB:  PubMed          Journal:  Mol Genet Genomics        ISSN: 1617-4623            Impact factor:   3.291


  12 in total

1.  Novel genetic variants of SYK and ITGA1 related lymphangiogenesis signaling pathway predict non-small cell lung cancer survival.

Authors:  Lihua Liu; Hongliang Liu; Sheng Luo; Edward F Patz; Carolyn Glass; Li Su; Lijuan Lin; David C Christiani; Qingyi Wei
Journal:  Am J Cancer Res       Date:  2020-08-01       Impact factor: 6.166

2.  SNP characteristics and validation success in genome wide association studies.

Authors:  Olga Y Gorlova; Xiangjun Xiao; Spiridon Tsavachidis; Christopher I Amos; Ivan P Gorlov
Journal:  Hum Genet       Date:  2022-01-04       Impact factor: 5.881

3.  Polymorphisms of an oncogenic gene, mesothelin, predict the risk and prognosis of gastric cancer in a Chinese Han population.

Authors:  Kuan Shen; Kanghui Liu; Yuanhang Wang; Peidong Ni; Jian Xiao; Fan Hao; Xinyi Zhou; Zekuan Xu; Li Yang
Journal:  Arch Toxicol       Date:  2022-04-09       Impact factor: 6.168

4.  Clinical and Prognostic Pan-Cancer Analysis of N6-Methyladenosine Regulators in Two Types of Hematological Malignancies: A Retrospective Study Based on TCGA and GTEx Databases.

Authors:  Xiangsheng Zhang; Liye Zhong; Zhilin Zou; Guosheng Liang; Zhenye Tang; Kai Li; Shuzhen Tan; Yongmei Huang; Xiao Zhu
Journal:  Front Oncol       Date:  2021-03-18       Impact factor: 6.244

5.  Modeling transcriptional regulation using gene regulatory networks based on multi-omics data sources.

Authors:  Neel Patel; William S Bush
Journal:  BMC Bioinformatics       Date:  2021-04-19       Impact factor: 3.307

6.  Genome-wide association studies for growth traits in broilers.

Authors:  Dachang Dou; Linyong Shen; Jiamei Zhou; Zhiping Cao; Peng Luan; Yumao Li; Fan Xiao; Huaishun Guo; Hui Li; Hui Zhang
Journal:  BMC Genom Data       Date:  2022-01-03

Review 7.  Emerging Biomarkers in Thyroid Practice and Research.

Authors:  Shipra Agarwal; Andrey Bychkov; Chan-Kwon Jung
Journal:  Cancers (Basel)       Date:  2021-12-31       Impact factor: 6.639

8.  Genetic Variants of CLPP and M1AP Are Associated With Risk of Non-Small Cell Lung Cancer.

Authors:  Xianghan Li; Yiran Zou; Teng Li; Thomas K F Wong; Ryan T Bushey; Michael J Campa; Elizabeth B Gottlin; Hongliang Liu; Qingyi Wei; Allen Rodrigo; Edward F Patz
Journal:  Front Oncol       Date:  2021-09-15       Impact factor: 6.244

9.  The Polygenic Risk Score Knowledge Base offers a centralized online repository for calculating and contextualizing polygenic risk scores.

Authors:  Madeline L Page; Elizabeth L Vance; Matthew E Cloward; Ed Ringger; Louisa Dayton; Mark T W Ebbert; Justin B Miller; John S K Kauwe
Journal:  Commun Biol       Date:  2022-09-02

Review 10.  Mesenchymal stem cells: ideal seeds for treating diseases.

Authors:  Guanwen Gao; Chenyang Fan; Weiquan Li; Runzhang Liang; Chuzhong Wei; Xiaojie Chen; Yue Yang; Yueyuan Zhong; Yingqi Shao; Yi Kong; Zesong Li; Xiao Zhu
Journal:  Hum Cell       Date:  2021-07-16       Impact factor: 4.374

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