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Title:
MONOGENIC DISEASE NAME RECOMMENDATION METHOD AND SYSTEM BASED ON CLINICAL FEATURES AND SEQUENCE VARIATIONS
Document Type and Number:
WIPO Patent Application WO/2021/248695
Kind Code:
A1
Abstract:
A monogenic disease name recommendation method and system based on clinical features and sequence variations, for use in accurately recommending a monogenic disease name matched with the condition of a patient. The method comprises: obtaining medical record information of a patient; comparing gene sequences with a human reference genome to obtain an influence score of each genetic variation; traversing feature sets A corresponding to standard monogenic disease names in a feature relationship database, respectively calculating a set similarity value with each feature set A, performing candidate output on the similar standard monogenic disease names and corresponding genes in a descending order, and constructing a standard monogenic disease name set P; obtaining a plurality of genes corresponding to the monogenic disease names from a preset gene list file, respectively calculating a pathogenicity score of each gene, performing candidate output on the corresponding standard monogenic disease names in a descending order, and constructing a standard monogenic disease name set G; and outputting a recommendation result of the standard monogenic disease names on the basis of an intersection result of the set G and the set P.

Inventors:
MA XU (CN)
CAO ZONGFU (CN)
LUO MINNA (CN)
CHEN CUIXIA (CN)
CAI RUIKUN (CN)
YU YUFEI (CN)
LI QIAN (CN)
Application Number:
PCT/CN2020/111133
Publication Date:
December 16, 2021
Filing Date:
August 25, 2020
Export Citation:
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Assignee:
NATIONAL RES INSTITUTE FOR FAMILY PLANNING (CN)
International Classes:
G06K9/62; G16B30/10; G16B20/40
Domestic Patent References:
WO2002021428A12002-03-14
Foreign References:
CN109119132A2019-01-01
CN109086571A2018-12-25
Other References:
CAO, ZONGFU ET AL.: "Automatic Analysis and Interpretation of Genetic Variations for Monogenic Diseases", JOURNAL OF REPRODUCTIVE MEDICINE, vol. 28, no. 7, 31 July 2019 (2019-07-31), pages 791 - 796, XP055879734, ISSN: 1004-3845
LI, JIANHUA ET AL.: "Review on the Research Progress of Mining of OMIM Data", JOURNAL OF BIOMEDICAL ENGINEERING, vol. 31, no. 6, 31 December 2014 (2014-12-31), pages 1400 - 1404, XP055840474, ISSN: 1001-5515
Attorney, Agent or Firm:
BEIJING WANHUIDA LAW FIRM (CN)
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