Advances in clinical genetics and genomics

IF 4.4 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Intelligent medicine Pub Date : 2021-09-01 DOI:10.1016/j.imed.2021.03.005
Sen Zhao , Xi Cheng , Wen Wen , Guixing Qiu , Terry Jianguo Zhang , Zhihong Wu , Nan Wu
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引用次数: 3

Abstract

Developments in genetics and genomics are progressing at an unprecedented speed. Twenty years ago, the human genome project provided the first glimpses into the human genome sequence and launched a new era of human genetics. The emerging of next-generation sequencing (NGS) in 2005 then made possible comprehensive genetic testing such as exome sequencing and genome sequencing. Meanwhile, great efforts have been put into the optimization of bioinformatic pipelines to make increasingly speedy and accurate variant analyses based on NGS data. These advances in sequencing technologies and analytical methods have revolutionized the diagnostic odyssey of suspected hereditary diseases. More recently, the genotype-phenotype relationship and polygenic risk scores (PRSs) generated from genome-wide association studies have expanded our horizon from rare genetic mutations to a genomic landscape implicated by the combined effect of both rare variants and polymorphisms. At the same time, clinicians and genetic counselors are facing huge challenges conferred by overwhelming genomic knowledge and long sheets of testing reports for comprehensive genomic sequencing. The path toward the “next-generation” clinical genetics and genomics may underlie semiautomatic pipelines assisted by artificial intelligence techniques.

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临床遗传学和基因组学进展
遗传学和基因组学的发展正以前所未有的速度发展。20年前,人类基因组计划首次提供了人类基因组序列的一瞥,并开启了人类遗传学的新时代。2005年新一代测序技术(NGS)的出现,使外显子组测序和基因组测序等综合基因检测成为可能。同时,生物信息学管道的优化也在不断努力,使基于NGS数据的变异分析越来越快速和准确。测序技术和分析方法的这些进步彻底改变了疑似遗传性疾病的诊断过程。最近,从全基因组关联研究中产生的基因型-表型关系和多基因风险评分(prs)将我们的视野从罕见基因突变扩展到罕见变异和多态性共同影响的基因组景观。与此同时,临床医生和遗传咨询师正面临着铺天盖地的基因组知识和冗长的全面基因组测序测试报告所带来的巨大挑战。通往“下一代”临床遗传学和基因组学的道路可能是由人工智能技术辅助的半自动管道的基础。
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来源期刊
Intelligent medicine
Intelligent medicine Surgery, Radiology and Imaging, Artificial Intelligence, Biomedical Engineering
CiteScore
5.20
自引率
0.00%
发文量
19
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