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Technologies and development of rare disease diagnosis
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WANG Yuanpin, HU Xiaomin, GONG Mengchun, LING Chao
Science & Technology Review | 2017, 35(16) : 26 - 30
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Science & Technology Review | 2017, 35(16): 26-30
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Technologies and development of rare disease diagnosis
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WANG Yuanpin, HU Xiaomin, GONG Mengchun, LING Chao
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Published: 2017-08-28 doi: 10.3981/j.issn.1000-7857.2017.16.003
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Most of rare diseases are hereditary diseases, characterized by low incidence, numerous varieties and diverse phenotypes, and therefore it is difficult to diagnose rare diseases timely and accurately in clinical practice. With the advances in the molecular genetics, the molecular diagnostic techniques, and the gene sequencing and omics techniques, a significant progress has been made in the diagnosis of rare diseases in recent years. On the basis of traditional gene detection techniques, the next-generation sequencing technology has been rapidly developed and widely used in the diagnosis and the research of rare diseases. The next-generation sequencing technology is costeffective and of high capacity over the traditional gene tests, and is well developed for the clinical use. The third generation sequencing also shows a potential diagnostic value. Although the traditional enzymatic detection techniques play an important role in the diagnosis of rare diseases, they fail to meet the surging diagnostic demands. Studies demonstrate that the rise of the proteomics and the metabolomics enables an accurate diagnosis of a variety of rare diseases. The computer-assisted initial diagnosis also sees a bright future, combined with the molecular imaging and the bio-information technologies. Technological advances have enhanced the ability to diagnose rare diseases to a great extent.
rare diseases  /  diagnostic technologies  /  gene sequencing  /  proteomics  /  metabolomics
王远玭, 胡晓敏, 弓孟春, 凌超. 罕见病诊断的相关技术及发展. 科技导报, 2017 , 35 (16) : 26 -30 . DOI: 10.3981/j.issn.1000-7857.2017.16.003
WANG Yuanpin, HU Xiaomin, GONG Mengchun, LING Chao. Technologies and development of rare disease diagnosis[J]. Science & Technology Review, 2017 , 35 (16) : 26 -30 . DOI: 10.3981/j.issn.1000-7857.2017.16.003
Year 2017 volume 35 Issue 16
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doi: 10.3981/j.issn.1000-7857.2017.16.003
  • Receive Date:2017-05-25
  • Online Date:2017-08-26
  • Published:2017-08-28
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  • Received:2017-05-25
  • Revised:2017-07-31
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表12种不同金属材料的力学参数
科
Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)
属
Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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