Literature DB >> 26502353

Standardization efforts enabling next-generation sequencing and microarray based biomarkers for precision medicine.

Yuanting Zheng1, Tao Qing1, Yunjie Song1, Jinhang Zhu1, Ying Yu2, Weiwei Shi3, Lajos Pusztai3, Leming Shi1,2.   

Abstract

Microarrays and next-generation sequencing technologies have been increasingly employed in biomedical research. However, before they can be reliably used as clinical biomarker tests, standardization and quality control measures need to be developed to ensure their analytical validity. This review summarizes community-wide efforts such as the MicroArray and Sequencing Quality Control (MAQC/SEQC) project which have identified factors influencing the performance of these technologies. Consequently, consensus-based standards and well-documented best practices have been developed to improve the quality of scientific research, and reference materials and reference datasets have been made available for evaluating the technical proficiency in future studies. These efforts have built the foundation on which the translational application of genomics based technologies can help realize precision medicine.

Keywords:  MAQC; SEQC; biomarker; genomics; microarray; next-generation sequencing; phenomics; precision medicine

Mesh:

Substances:

Year:  2015        PMID: 26502353     DOI: 10.2217/bmm.15.99

Source DB:  PubMed          Journal:  Biomark Med        ISSN: 1752-0363            Impact factor:   2.851


  5 in total

Review 1.  A generic Transcriptomics Reporting Framework (TRF) for 'omics data processing and analysis.

Authors:  Timothy W Gant; Ursula G Sauer; Shu-Dong Zhang; Brian N Chorley; Jörg Hackermüller; Stefania Perdichizzi; Knut E Tollefsen; Ben van Ravenzwaay; Carole Yauk; Weida Tong; Alan Poole
Journal:  Regul Toxicol Pharmacol       Date:  2017-11-04       Impact factor: 3.271

Review 2.  Integrating next-generation sequencing into clinical oncology: strategies, promises and pitfalls.

Authors:  Peter Horak; Stefan Fröhling; Hanno Glimm
Journal:  ESMO Open       Date:  2016-11-18

3.  Bioinformatics analysis of microRNA expression between patients with and without latent tuberculosis infections.

Authors:  Yang Lu; Xinmin Wang; Hongchang Dong; Xiaofang Wang; Pu Yang; Ling Han; Yingzi Wang; Zhihong Zheng; Wanjiang Zhang; Le Zhang
Journal:  Exp Ther Med       Date:  2019-03-20       Impact factor: 2.447

4.  A simple method to estimate the in-house limit of detection for genetic mutations with low allele frequencies in whole-exome sequencing analysis by next-generation sequencing.

Authors:  Takumi Miura; Satoshi Yasuda; Yoji Sato
Journal:  BMC Genom Data       Date:  2021-02-18

5.  Selecting Hub Genes and Predicting Target Genes of microRNAs in Tuberculosis via the Bioinformatics Analysis.

Authors:  Siqi Deng; Shijie Shen; Saeed El-Ashram; Huan Lu; Dan Luo; Guomin Ye; Bo Zhang; Hui Zhang; Wanjiang Zhang; Jiangdong Wu; Chuangfu Chen
Journal:  Genet Res (Camb)       Date:  2021-10-31       Impact factor: 1.588

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.