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1. WO2020141722 - METHOD FOR DETERMINING FETAL FRACTION IN MATERNAL SAMPLE

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Publication Number WO/2020/141722
Publication Date 09.07.2020
International Application No. PCT/KR2019/015927
International Filing Date 20.11.2019
IPC
G16B 20/40 2019.01
GPHYSICS
16INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
BBIOINFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR GENETIC OR PROTEIN-RELATED DATA PROCESSING IN COMPUTATIONAL MOLECULAR BIOLOGY
20ICT specially adapted for functional genomics or proteomics, e.g. genotype-phenotype associations
40Population genetics; Linkage disequilibrium
G16B 30/00 2019.01
GPHYSICS
16INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
BBIOINFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR GENETIC OR PROTEIN-RELATED DATA PROCESSING IN COMPUTATIONAL MOLECULAR BIOLOGY
30ICT specially adapted for sequence analysis involving nucleotides or amino acids
G16B 50/00 2019.01
GPHYSICS
16INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
BBIOINFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR GENETIC OR PROTEIN-RELATED DATA PROCESSING IN COMPUTATIONAL MOLECULAR BIOLOGY
50ICT programming tools or database systems specially adapted for bioinformatics
CPC
G16B 20/40
GPHYSICS
16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
BBIOINFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR GENETIC OR PROTEIN-RELATED DATA PROCESSING IN COMPUTATIONAL MOLECULAR BIOLOGY
20ICT specially adapted for functional genomics or proteomics, e.g. genotype-phenotype associations
40Population genetics; Linkage disequilibrium
G16B 25/10
GPHYSICS
16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
BBIOINFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR GENETIC OR PROTEIN-RELATED DATA PROCESSING IN COMPUTATIONAL MOLECULAR BIOLOGY
25ICT specially adapted for hybridisation; ICT specially adapted for gene or protein expression
10Gene or protein expression profiling; Expression-ratio estimation or normalisation
G16B 30/00
GPHYSICS
16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
BBIOINFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR GENETIC OR PROTEIN-RELATED DATA PROCESSING IN COMPUTATIONAL MOLECULAR BIOLOGY
30ICT specially adapted for sequence analysis involving nucleotides or amino acids
G16B 50/00
GPHYSICS
16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
BBIOINFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR GENETIC OR PROTEIN-RELATED DATA PROCESSING IN COMPUTATIONAL MOLECULAR BIOLOGY
50ICT programming tools or database systems specially adapted for bioinformatics
G16H 50/20
GPHYSICS
16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
50ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
20for computer-aided diagnosis, e.g. based on medical expert systems
G16H 50/30
GPHYSICS
16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
50ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
30for calculating health indices; for individual health risk assessment
Applicants
  • 테라젠지놈케어 주식회사 THERAGEN GENOMECARE CO ., LTD [KR]/[KR]
Inventors
  • 김선신 KIM, Sun Shin
  • 배진한 BAE, Jin Han
  • 곽환종 KWAK, Hwan Jong
  • 이성훈 LEE, Sung Hun
  • 김강석 KIM, Kang Seok
  • 황동엽 HWANG, Dong Yeop
Agents
  • 류종우 RYU, Jong Woo
Priority Data
10-2019-000130604.01.2019KR
Publication Language Korean (KO)
Filing Language Korean (KO)
Designated States
Title
(EN) METHOD FOR DETERMINING FETAL FRACTION IN MATERNAL SAMPLE
(FR) PROCÉDÉ DE DÉTERMINATION D'UNE FRACTION FŒTALE DANS UN ÉCHANTILLON MATERNEL
(KO) 모체 시료 중 태아 분획을 결정하는 방법
front page image
Abstract
(EN)
Provided are: a method for determining a fetal fraction; and a computer-readable medium on which a program used for implementing same is recorded. According to the method, when a fetal fraction is estimated in an optimal interval which is different from an existing predetermined chromosome interval (50 kb), the fetal fraction can be more accurately determined. Therefore, the fetal fraction can be measured with a higher accuracy by using the same training sample size.
(FR)
L'invention concerne : un procédé de détermination d'une fraction fœtale; et un support lisible par ordinateur dans lequel est enregistré un programme utilisé pour la mise en œuvre de ce procédé. Selon le procédé, lorsqu'une fraction fœtale est estimée dans un intervalle optimal qui est différent d'un intervalle de chromosome prédéfini existant (50 kb), la fraction fœtale peut être déterminée de manière plus précise. Par conséquent, la fraction fœtale peut être mesurée avec une plus grande précision en utilisant la même taille d'échantillon d'apprentissage.
(KO)
태아 분획을 결정하는 방법, 및 이를 수행하기 위해 적용되는 프로그램을 기록한 컴퓨터 판독 매체를 제공한다. 이에 의하면, 기존의 정해진 염색체 구간(50 kb)과 다른 최적의 구간에서 태아 분획을 추정하였을 때 태아 분획을 더 정확하게 결정할 수 있다. 이에 의해 동일한 훈련 데이터 크기(training sample size)를 이용하여 더 높은 정확도의 태아 분획의 측정이 가능하다.
Also published as
KR1020200085144
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